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	<front>
		<journal-meta>
			<journal-id journal-id-type="publisher-id">rfnam</journal-id>
			<journal-title-group>
				<journal-title>Revista Facultad Nacional de Agronomía Medellín</journal-title>
				<abbrev-journal-title abbrev-type="publisher">Rev. Fac. Nac. Agron. Medellín</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="ppub">0304-2847</issn>
			<issn pub-type="epub">2248-7026</issn>
			<publisher>
				<publisher-name>Facultad de Ciencias Agrarias - Universidad Nacional de Colombia</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="doi">10.15446/rfnam.v78n1.112580</article-id>
			<article-id pub-id-type="publisher-id">00006</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Artículos</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Interference of <italic>Conyza sumatrensis</italic> on grain yield of soybean cultivars</article-title>
				<trans-title-group xml:lang="es">
					<trans-title>Interferencia de <italic>Conyza sumatrensis</italic> en la productividad de grano de cultivares de soya</trans-title>
				</trans-title-group>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-8640-0889</contrib-id>
					<name>
						<surname>Lorenzetti</surname>
						<given-names>Juliano Bortoluzzi</given-names>
					</name>
					<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-8390-3381</contrib-id>
					<name>
						<surname>Albrecht</surname>
						<given-names>Alfredo Junior Paiola</given-names>
					</name>
					<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0003-3512-6597</contrib-id>
					<name>
						<surname>Albrecht</surname>
						<given-names>Leandro Paiola</given-names>
					</name>
					<xref ref-type="aff" rid="aff2b"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-6733-7914</contrib-id>
					<name>
						<surname>Danilussi</surname>
						<given-names>Maikon Tiago Yamada</given-names>
					</name>
					<xref ref-type="aff" rid="aff1b"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-7687-1396</contrib-id>
					<name>
						<surname>Barroso</surname>
						<given-names>Arthur Arrobas Martins</given-names>
					</name>
					<xref ref-type="aff" rid="aff1c"><sup>1</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0001-8793-6407</contrib-id>
					<name>
						<surname>Bauer</surname>
						<given-names>Felipe Eduardo</given-names>
					</name>
					<xref ref-type="aff" rid="aff2c"><sup>2</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-4846-8089</contrib-id>
					<name>
						<surname>Silva</surname>
						<given-names>André Felipe Moreira</given-names>
					</name>
					<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">0000-0002-8354-7532</contrib-id>
					<name>
						<surname>Marchi</surname>
						<given-names>Caroline Santana</given-names>
					</name>
					<xref ref-type="aff" rid="aff2d"><sup>2</sup></xref>
				</contrib>
			</contrib-group>
			<aff id="aff1">
				<label>1</label>
				<institution content-type="original">Universidade Federal do Paraná (UFPR), Curitiba, Paraná (PR), Brazil. lorenzettijb@gmail.com, maikondanilussi@gmail.com, arrobas@ufpr.br</institution>
				<institution content-type="normalized">Universidade Federal do Paraná</institution>
				<institution content-type="orgname">Universidade Federal do Paraná</institution>
				<addr-line>
					<named-content content-type="city">Curitiba</named-content>
                        <named-content content-type="state">Paraná</named-content>
				</addr-line>
				<country country="BR">Brazil</country>
				<email>lorenzettijb@gmail.com</email>
			</aff>
			<aff id="aff1b">
				<label>1</label>
				<institution content-type="original">Universidade Federal do Paraná (UFPR), Curitiba, Paraná (PR), Brazil. lorenzettijb@gmail.com, maikondanilussi@gmail.com, arrobas@ufpr.br</institution>
				<institution content-type="normalized">Universidade Federal do Paraná</institution>
				<institution content-type="orgname">Universidade Federal do Paraná</institution>
				<addr-line>
					<named-content content-type="city">Curitiba</named-content>
                        <named-content content-type="state">Paraná</named-content>
				</addr-line>
				<country country="BR">Brazil</country>
				<email>maikondanilussi@gmail.com</email>
			</aff>
			<aff id="aff1c">
				<label>1</label>
				<institution content-type="original">Universidade Federal do Paraná (UFPR), Curitiba, Paraná (PR), Brazil. lorenzettijb@gmail.com, maikondanilussi@gmail.com, arrobas@ufpr.br</institution>
				<institution content-type="normalized">Universidade Federal do Paraná</institution>
				<institution content-type="orgname">Universidade Federal do Paraná</institution>
				<addr-line>
					<named-content content-type="city">Curitiba</named-content>
                        <named-content content-type="state">Paraná</named-content>
				</addr-line>
				<country country="BR">Brazil</country>
				<email>arrobas@ufpr.br</email>
			</aff>
			<aff id="aff2">
				<label>2</label>
				<institution content-type="original">Universidade Federal do Paraná (UFPR), Palotina, PR, Brazil. ajpalbrecht@yahoo.com.br, lpalbrecht@yahoo.com.br, felipeeb_@hotmail.com, cmarchi16@gmail.com</institution>
				<institution content-type="normalized">Universidade Federal do Paraná</institution>
				<institution content-type="orgname">Universidade Federal do Paraná</institution>
				<addr-line>
					<named-content content-type="city">Palotina</named-content>
                        <named-content content-type="state">PR</named-content>
				</addr-line>
				<country country="BR">Brazil</country>
				<email>ajpalbrecht@yahoo.com.br</email>
			</aff>
			<aff id="aff2b">
				<label>2</label>
				<institution content-type="original">Universidade Federal do Paraná (UFPR), Palotina, PR, Brazil. ajpalbrecht@yahoo.com.br, lpalbrecht@yahoo.com.br, felipeeb_@hotmail.com, cmarchi16@gmail.com</institution>
				<institution content-type="normalized">Universidade Federal do Paraná</institution>
				<institution content-type="orgname">Universidade Federal do Paraná</institution>
				<addr-line>
					<named-content content-type="city">Palotina</named-content>
                        <named-content content-type="state">PR</named-content>
				</addr-line>
				<country country="BR">Brazil</country>
				<email>lpalbrecht@yahoo.com.br</email>
			</aff>
			<aff id="aff2c">
				<label>2</label>
				<institution content-type="original">Universidade Federal do Paraná (UFPR), Palotina, PR, Brazil. ajpalbrecht@yahoo.com.br, lpalbrecht@yahoo.com.br, felipeeb_@hotmail.com, cmarchi16@gmail.com</institution>
				<institution content-type="normalized">Universidade Federal do Paraná</institution>
				<institution content-type="orgname">Universidade Federal do Paraná</institution>
				<addr-line>
					<named-content content-type="city">Palotina</named-content>
                        <named-content content-type="state">PR</named-content>
				</addr-line>
				<country country="BR">Brazil</country>
				<email>felipeeb_@hotmail.com</email>
			</aff>
			<aff id="aff2d">
				<label>2</label>
				<institution content-type="original">Universidade Federal do Paraná (UFPR), Palotina, PR, Brazil. ajpalbrecht@yahoo.com.br, lpalbrecht@yahoo.com.br, felipeeb_@hotmail.com, cmarchi16@gmail.com</institution>
				<institution content-type="normalized">Universidade Federal do Paraná</institution>
				<institution content-type="orgname">Universidade Federal do Paraná</institution>
				<addr-line>
					<named-content content-type="city">Palotina</named-content>
                        <named-content content-type="state">PR</named-content>
				</addr-line>
				<country country="BR">Brazil</country>
				<email>cmarchi16@gmail.com</email>
			</aff>
			<aff id="aff3">
				<label>3</label>
				<institution content-type="original">Crop Science Pesquisa e Consultoria Agronômica Ltda. (Crop Pesquisa), Maripá, PR, Brazil. afmoreirasilva@alumni.usp.br</institution>
				<institution content-type="normalized">Crop Science Pesquisa e Consultoria Agronômica Ltda</institution>
				<institution content-type="orgname">Crop Science Pesquisa e Consultoria Agronômica Ltda</institution>
				<addr-line>
					<named-content content-type="city">Maripá</named-content>
                        <named-content content-type="state">PR</named-content>
				</addr-line>
				<country country="BR">Brazil</country>
				<email>afmoreirasilva@alumni.usp.br</email>
			</aff>
			<!--<pub-date date-type="pub" publication-format="electronic">
				<day>31</day>
				<month>01</month>
				<year>2025</year>
			</pub-date>
			<pub-date date-type="collection" publication-format="electronic">
				<season></season>
				<year></year>
			</pub-date>-->
			<pub-date pub-type="epub-ppub">
				<season>Jan-Apr</season>
				<year>2025</year>
			</pub-date>
			<volume>78</volume>
			<issue>1</issue>
			<fpage>10967</fpage>
			<lpage>10975</lpage>
			<history>
				<date date-type="received">
					<day>14</day>
					<month>06</month>
					<year>2024</year>
				</date>
				<date date-type="accepted">
					<day>10</day>
					<month>09</month>
					<year>2024</year>
				</date>
			</history>
			<permissions>
				<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by-nc-sa/4.0/" xml:lang="en">
					<license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License</license-p>
				</license>
			</permissions>
			<abstract>
				<title>ABSTRACT</title>
				<p>Sumatran fleabane (<italic>Conyza sumatrensis</italic>) weed can be found in several different agricultural environments and impacts different crops, such as soybean and maize. This weed may have a substantial impact on soybean yield. The aim was to evaluate the interference of <italic>C. sumatrensis</italic> on the grain yield of soybean cultivars. Soybean cultivars were used with late or early maturity, under 0, 1, 2, 3, 4, 6, 8, and 10 plants m<sup>-2</sup> of <italic>C. sumatrensis</italic>. The four trials, composed of the two cultivars in each of the growing seasons, were analyzed separately. Because differences were found to be significant using the F-test in the comparison between trials (<italic>P</italic>≤0.05). The yield was subjected to analysis of variance and F-test. A nonlinear, rectangular hyperbolic regression model was fitted. For the early maturity cultivar, infestation levels of 17.1 and 17 of plants m<sup>-2</sup> in the 2016-2018 and 2017-2018 growing seasons, respectively, were required to cause a 50% yield loss. For late-maturity cultivars, the values were 6.3 and 7.0 in the 2016-2017 and 2017-2018 growing seasons, respectively. The yield reduction observed for the late-maturity cultivar was 12.54 and 13.72% per plant of <italic>C. sumatrensis,</italic> in the 2016-2017 and 2017-2018 growing seasons, respectively. The early maturity cultivar showed a reduction of 9.35 and 10.77% per plant, in the 2016-2017 and 2017-2018 growing seasons, respectively.<italic>Conyza sumatrensis</italic> that cannot be tolerated in soybean, because a single plant per m<sup>2</sup> has great potential for reducing yield, from 9.35 to 13.72%.</p>
			</abstract>
			<trans-abstract xml:lang="es">
				<title>RESUMEN</title>
				<p>La maleza rama negra (<italic>Conyza sumatrensis</italic>) se puede encontrar en varios entornos agrícolas diferentes y afecta a diferentes cultivos, como la soja y el maíz. Esta maleza puede tener un impacto sustancial en la productividad de la soja. El objetivo fue evaluar la interferencia de <italic>C. sumatrensis</italic> en la productividad de grano de cultivares de soja. Se utilizaron cultivares de soja con madurez tardía o temprana, bajo 0, 1, 2, 3, 4, 6, 8 y 10 plantas m<sup>-2</sup> de <italic>C. sumatrensis</italic>. Los cuatro ensayos, compuestos por los dos cultivares en cada una de las cosechas, se analizaron por separado. Debido a que se encontraron diferencias significativas utilizando la prueba F en la comparación entre ensayos (<italic>P</italic>≤0,05). La productividad fue sometida a análisis de varianza y prueba F. Se ajustó un modelo de regresión no lineal, hiperbólico rectangular. Para el cultivar de madurez temprana, se necesitaron niveles de infestación de 17,1 y 17 plantas m<sup>-2</sup> en las cosechas 2016-2018 y 2017-2018, respectivamente, para causar una pérdida de productividad del 50%. Para el cultivar de madurez tardía, los valores fueron de 6,3 y 7,0 en las cosechas 2016-2017 y 2017-2018, respectivamente. La reducción de la productividad observada para el cultivar de madurez tardía fue del 12,54 y 13,72% por planta de <italic>C. sumatrensis</italic>, en las cosechas 2016-2017 y 2017-2018, respectivamente. El cultivar de madurez temprana mostró una reducción del 9,35 y 10,77% por planta, en las cosechas 2016-2017 y 2017-2018, respectivamente. <italic>Conyza sumatrensis</italic> no puede tolerarse en la soya, porque una sola planta por m<sup>2</sup> tiene un gran potencial para reducir la productividad, del 9,35 al 13,72%.</p>
			</trans-abstract>
			<kwd-group xml:lang="en">
				<title>Keywords:</title>
				<kwd>Agronomic performance</kwd>
				<kwd>Crop-weed competition</kwd>
				<kwd>Erigeron sumatrensis</kwd>
				<kwd>Retz</kwd>
				<kwd>Weed</kwd>
			</kwd-group>
			<kwd-group xml:lang="es">
				<title>Palabras clave:</title>
				<kwd>Desempeño agronómico Competición entre cultivos y malezas</kwd>
				<kwd><italic>Erigeron sumatrensis</italic> Retz</kwd>
				<kwd>Maleza</kwd>
			</kwd-group>
			<counts>
				<fig-count count="3"/>
				<table-count count="1"/>
				<equation-count count="1"/>
				<ref-count count="50"/>
				<page-count count="9"/>
			</counts>
		</article-meta>
	</front>
	<body>
		<p>Weed interference occurs through allelopathy, parasitism, and competition, which can affect crop development and yield (<xref ref-type="bibr" rid="B25">Horvath et al. 2023</xref>). This is especially true for the <italic>Conyza</italic> genus, with prolific weeds belonging to the Asteraceae family, as an example, the Sumatran fleabane (<italic>Conyza sumatrensis</italic> (Retz.) E. Walker sin.: <italic>Erigeron sumatrensis</italic> Retz.) (<xref ref-type="bibr" rid="B6">Bajwa et al. 2016</xref>). This weed has an annual life cycle, with high seed production, which can easily be dispersed longer distances from the parent plant (<xref ref-type="bibr" rid="B31">Liu et al. 2022</xref>). Thus, these plants can be found in several different agricultural environments, affecting crops, such as soybean and maize (<xref ref-type="bibr" rid="B6">Bajwa et al. 2016</xref>; <xref ref-type="bibr" rid="B27">Kalsing et al. 2024</xref>). </p>
		<p>
			<xref ref-type="bibr" rid="B47">Trezzi et al. (2015)</xref> indicated that 2.7 <italic>Conyza bonariensis</italic> plants m<sup>-2</sup> can reduce soybean yield by 50%. <xref ref-type="bibr" rid="B2">Agostinetto et al. (2017)</xref> reported that only one <italic>C. bonariensis</italic> plant m<sup>-2</sup> can reduce soybean yield by up to 25.9%. Similarly, <italic>Conyza canadensis</italic> can reduce soybean yield by more than 90%, when chemical control measures are not adopted (<xref ref-type="bibr" rid="B10">Byker et al. 2013</xref>). In the southern region of Brazil in a subtropical climate, <italic>C. sumatrensis</italic> can reduce soybean grain yield by up to 50% (<xref ref-type="bibr" rid="B7">Blainski et al. 2015</xref>). In contrast, <italic>C. sumatrensis</italic> did not interfere with the agronomic performance of soybeans, in a study carried out in the Brazilian Cerrado biome during a hot and rainy summer. Under these conditions, the death of <italic>C. sumatrensis</italic> plants occurred, which can be explained due to shading by the crop (<xref ref-type="bibr" rid="B15">Correia 2023</xref>). In Brazil, there is a higher prevalence of <italic>C. sumatrensis</italic> than that of <italic>C. bonariensis</italic> in the southern region (<xref ref-type="bibr" rid="B34">Marochio et al. 2017</xref>; <xref ref-type="bibr" rid="B42">Ruiz et al. 2022</xref>). Including several reported cases of herbicide resistance for <italic>C. sumatrensis</italic> in this region of the country (<xref ref-type="bibr" rid="B5">Baccin et al. 2022</xref>; <xref ref-type="bibr" rid="B24">Heap 2024</xref>).</p>
		<p>Twenty herbicide-resistant biotypes of <italic>C. sumatrensis</italic> have been reported worldwide (<xref ref-type="bibr" rid="B24">Heap 2024</xref>). In Brazil, there are cases of multiple resistance to chlorimuron and glyphosate (<xref ref-type="bibr" rid="B43">Santos et al. 2014</xref>), resistance to paraquat (<xref ref-type="bibr" rid="B50">Zobiole et al. 2019</xref>), and cases of single or multiple resistance to these and other herbicides (<xref ref-type="bibr" rid="B37">Pinho et al. 2019</xref>; <xref ref-type="bibr" rid="B3">Albrecht et al. 2020</xref>; <xref ref-type="bibr" rid="B38">Queiroz et al. 2020</xref>; <xref ref-type="bibr" rid="B32">Lorenzetti et al. 2024</xref>). Cases of herbicide resistance make it difficult to manage <italic>Conyza</italic> spp. and can increase production costs. The cost of managing glyphosate-resistant weeds in maize, cotton, and soybean fields in the United States alone has reached US$1 billion per year (<xref ref-type="bibr" rid="B21">Frisvold et al. 2017</xref>). <xref ref-type="bibr" rid="B1">Adegas et al. (2017)</xref> found that the control costs for herbicide-resistant <italic>Conyza</italic> spp. in Brazil were approximately 32% higher. </p>
		<p>Weed interference studies can also assess the effects of weed-density and weed-crop proportions (<xref ref-type="bibr" rid="B46">Swanton et al. 2015</xref>). Weed management-related decisions mainly depend on an economic threshold, originating from the crop and cropping system. Furthermore, manipulation of soybean cultivars or growing seasons can increase crop competitiveness and change weed control decisions (<xref ref-type="bibr" rid="B29">Korres et al. 2020</xref>). <italic>Conyza sumatrensis</italic> may have a substantial impact on soybean yield. There are a few specific studies with this weed, which can be contrasting depending on the region of Brazil (<xref ref-type="bibr" rid="B7">Blainski et al. 2015</xref>; <xref ref-type="bibr" rid="B15">Correia 2023</xref>). Therefore, it is important to provide specific data for <italic>C. sumatrensis</italic>, given the prevalence of this species in Brazil (<xref ref-type="bibr" rid="B42">Ruiz et al. 2022</xref>; <xref ref-type="bibr" rid="B27">Kalsing et al. 2024</xref>). Thus, the aim was to evaluate the interference of <italic>C. sumatrensis</italic> on the grain yield of soybean cultivars.</p>
		<sec sec-type="materials|methods">
			<title>MATERIALS AND METHODS</title>
			<sec>
				<title>Weed-crop interference</title>
				<p>Experiments were conducted in soybean fields at Palotina, Paraná, Brazil, during the 2016-2017 and 2017-2018 growing seasons using two soybean cultivars per season. The soils were very clayey (14% sand, 22% silt, and 64% clay), originated from basalt, and had a pH=5.9 and organic matter of 2.7%. The fields were managed under no-tillage, with a soybean-maize rotation system. The climate of the region is classified as Cfa according to the Köppen, with the weather conditions for the experimental period illustrated in <xref ref-type="fig" rid="f1">Figure 1</xref>.</p>
				<p>
					<fig id="f1">
						<label>Figure 1</label>
						<caption>
							<title>Rainfall, maximum (T. max), and minimum temperature (T. min) during the period of the experiments, 2016-2017 (A) and 2017-2018 (B) growing seasons.</title>
						</caption>
						<graphic xlink:href="2248-7026-rfnam-78-01-10967-gf1.jpg"/>
					</fig>
				</p>
				<p>The cultivars M5947 and M6210 were sown on September 22 and 11, respectively, during the 2016-2017 growing season. In the 2017-2018 growing season, M5947 was sown on September 22 and M6210 on October 4 (following seed companies’ recommendations). M6210 (late maturity cultivar - maturity group 6.2) has a longer cycle than M5947 (early maturity cultivar - maturity group 5.9). Both soybean cultivars have indeterminate growth habits. In the 2016-2017 growing season, fertilization was carried out at sowing with 206 kg ha<sup>-1</sup> of fertilizer 02-20-18 (NPK), for the 2017-2018 growing season, 248 kg ha<sup>-1</sup> of fertilizer 02-18-18 (NPK) was used. Phytosanitary management was carried out to keep the crop free of biotic factors that could interfere with the growth and development of soybean plants, following technical recommendations appropriate for the region.</p>
				<p>The experimental design was a randomized complete block design, with three and four repetitions in 2016-2017 and 2017-2018, respectively. The treatments consisted of different densities of <italic>C. sumatrensis</italic>: 0, 1, 2, 3, 4, 6, 8, and 10 plants m<sup>-2</sup>. The plots consisted of six 5 m long rows of soybean plants spaced at 0.45 m, adding up to 13.5 m² for each plot. To obtain the desired populations at the four trials, the plots were completely weeded manually up to 14 days before soybean sowing. <italic>C. sumatrensis</italic> plants that coexisted with soybeans emerged from this date. During soybean sowing, <italic>C. sumatrensis</italic> plants were up to 10 cm tall and had 1 to 3 leaves. From soybean sowing until approximately 40 days after emergence (closure between rows), weeding was carried out to maintain <italic>C. sumatrensis</italic> densities and control weeds of other species. Weeding was carried out once a week. For all four trials, there was a large infestation of <italic>C. sumatrensis</italic> before weeding began (approximately 15 plants m<sup>-2</sup>). Plants with the best distribution throughout the plot were chosen, and those present in the space between the soybean rows were prioritized. As weeding progressed, new emergence flushes of <italic>C. sumatrensis</italic> were easily identified. Young seedlings were eliminated, while those previously selected were larger. No herbicides were used to control weeds; all control was carried out by hand weeding, to avoid any herbicide injury on soybeans or <italic>C. sumatrensis</italic>.</p>
				<p>Furthermore, soybeans were harvested manually at the R<sub>8</sub> stage (full maturity). The plants of the two central rows were harvested at 4 m in length, adding up to 3.6 m². The grains produced in each plot were weighed, and the moisture was corrected to 13%. Furthermore, the yield in kg ha<sup>-1</sup> was calculated using this data.</p>
			</sec>
			<sec>
				<title>Analysis of yield loss and critical level of losses</title>
				<p>The four trials, composed of the two cultivars in each of the growing seasons, were analyzed separately. Because differences were found to be significant using the F-test in the comparison between trials (<italic>P</italic>≤0.05). Yield data were subjected to the analysis of variance by F-test (<italic>P</italic>≤0.05) using the Sisvar 5.6 software (<xref ref-type="bibr" rid="B17">Ferreira 2011</xref>). A nonlinear, rectangular hyperbola regression model was fitted to the data using SigmaPlot 12 software (<xref ref-type="bibr" rid="B26">Kalsing and Vidal 2013</xref>; M<xref ref-type="bibr" rid="B33">achado et al. 2015</xref>), following <xref ref-type="disp-formula" rid="e1">Equation 1</xref>: </p>
				<p>
					<disp-formula id="e1">
						<alternatives>
						<graphic xlink:href="2248-7026-rfnam-78-01-10967-e1.png"/>
					</alternatives>
					</disp-formula>
				</p>
				<p>Wherein &quot;y&quot; is equivalent to the normalized data for the yield loss in comparison to the weed-free plots, expressed as a percentage (%); &quot;a&quot; is the maximum asymptote or yield loss when the weed density is close to the carrying capacity of the environment; &quot;b&quot; is the level of infestation that is equivalent to approximately 50% yield reduction, and &quot;x&quot; is the level of infestation. The critical level of damage (i) was then obtained by the ratio between parameters &quot;a&quot; and &quot;b&quot; of the equation, representing the impact of each plant on the crop yield. </p>
			</sec>
		</sec>
		<sec sec-type="results|discussion">
			<title>RESULTS AND DISCUSSION</title>
			<p><italic>Conyza sumatrensis</italic> substantially reduced soybean yield even under low densities in both cultivars and seasons. For the early maturity soybean cultivar, infestation levels of 17.1 and 17 (parameter b) of <italic>C. sumatrensis</italic> m<sup>-2</sup> in the 2016-2017 and 2017-2018 growing seasons, respectively, were required to cause a 50% yield loss of soybean crop. For the late-maturity cultivar, the values were 6.3 and 7.0 in the 2016-2017 and 2017-2018 growing seasons, respectively. In the 2016-2017 growing season, the parameter &quot;i&quot; (proportional yield loss when the weed density approaches zero) was 12.5% for the late-maturing cultivar and 9.35% for the early-maturity cultivar. In the 2017-2018 growing season, the parameter &quot;i&quot; was 13.7% for the late-maturity cultivar, whereas it was 10.77% for the early-maturity cultivar, which was 22% lower compared to the late-maturity cultivar. That is, a single plant of <italic>C. sumatrensis</italic> m<sup>-2</sup> can reduce soybean yield by up to 13.7% (<xref ref-type="table" rid="t1">Table 1</xref>). </p>
			<p>
				<table-wrap id="t1">
					<label>Table 1</label>
					<caption>
						<title>Equation parameters obtained by nonlinear rectangular hyperbole regression, for early and late maturity soybean cultivars and growing season.</title>
					</caption>
					<graphic xlink:href="2248-7026-rfnam-78-01-10967-gt1.jpg"/>
				</table-wrap>
			</p>
			<p>
				<xref ref-type="bibr" rid="B47">Trezzi et al. (2015)</xref> indicated that 2.7 of <italic>C. bonariensis</italic> m<sup>-2</sup> plants could reduce soybean yield by approximately 50%, which is higher than that observed in the present study. Moreover, <xref ref-type="bibr" rid="B2">Agostinetto et al. (2017)</xref> found that a single plant m<sup>-2</sup> of <italic>C. bonariensis</italic> could reduce soybean yield by approximately 25.9%. In contrast, <italic>C. sumatrensis</italic> at densities of 13 to 23 plants m<sup>-2</sup> did not interfere with the agronomic performance of soybeans, in a study carried out in the Brazilian Cerrado biome during a hot and rainy summer. Under these conditions, the death of <italic>C. sumatrensis</italic> plants occurred, which can be explained due to shading by the crop (<xref ref-type="bibr" rid="B15">Correia 2023</xref>). In the southern region of Brazil in a subtropical climate, such as this study, 20 to 35 plants m<sup>-2</sup> of <italic>C. sumatrensis</italic> can reduce soybean grain yield by up to 50% (<xref ref-type="bibr" rid="B7">Blainski et al. 2015</xref>). Weed interference can be highly dependent on the cultivar and weed genotypes and the present environment (<xref ref-type="bibr" rid="B41">Roncatto et al. 2021</xref>; <xref ref-type="bibr" rid="B11">Caldas et al. 2023</xref>). Therefore, comparative tests can be conducted to determine the tolerance of cultivars at different environments in comparison with the weeds. </p>
			<p>The current study identified that for both cultivars, growing seasons, and densities used, <italic>C. sumatrensis</italic> has a substantial impact on soybean yield. There are a few specific studies on <italic>C. sumatrensis</italic>, which can be contrasting depending on the soil and climate conditions (<xref ref-type="bibr" rid="B15">Correia 2023</xref>). Therefore, it is important to provide specific data for <italic>C. sumatrensis</italic> in a subtropical climate, given the prevalence of this species in the southern region of Brazil (<xref ref-type="bibr" rid="B34">Marochio et al. 2017</xref>; <xref ref-type="bibr" rid="B42">Ruiz et al. 2022</xref>), which reiterates the relevance of this study. Other weeds highlighted for their negative impact on soybean yield include <italic>Amaranthus palmeri</italic> (<xref ref-type="bibr" rid="B28">Korres et al. 2019</xref>), <italic>Digitaria insularis</italic> (<xref ref-type="bibr" rid="B23">Gazziero et al. 2019</xref>), and <italic>Amaranthus tuberculatus</italic> (<xref ref-type="bibr" rid="B9">Butts et al. 2018</xref>), which are among the most important weeds in soybean crop.</p>
			<p>In the 2016-2017 growing season, the early maturity cultivar had a grain yield in the absence of <italic>C. sumatrensis</italic> was 3,992 kg ha<sup>-1</sup>. For the highest level of infestation (10 plants m<sup>-2</sup>) the average yield reduction was 58%, with a grain yield of 1,677 kg ha<sup>-1</sup>. Moreover, the late-maturing cultivar had a grain yield of 3,861 kg ha<sup>-1</sup> in the absence of <italic>C. sumatrensis</italic>. The maximum loss (48%) was observed at the highest level of infestation (10 plants m<sup>-2</sup>), with a grain yield of 2,008 kg ha<sup>-1</sup> (<xref ref-type="fig" rid="f2">Figure 2</xref>).</p>
			<p>
				<fig id="f2">
					<label>Figure 2</label>
					<caption>
						<title>Nonlinear regression of rectangular hyperbole for soybean yield reduction under densities of <italic>C. sumatrensis</italic>. Late (A) and early (B) maturity soybean cultivars, 2016-2017 growing season.</title>
					</caption>
					<graphic xlink:href="2248-7026-rfnam-78-01-10967-gf2.jpg"/>
				</fig>
			</p>
			<p>In 2017-2018, the grain yield for the late-maturing cultivar was 4,311 kg ha<sup>-1</sup> without weed infestation, with maximum loss (57%) for 10 plants m<sup>-2</sup> with a grain yield of 1,854 kg ha<sup>-1</sup>. The early maturity cultivar produced 4,019 kg ha<sup>-1</sup> in the absence of infestation. Under the influence of 10 plants m<sup>-2</sup> the yield was reduced by 73%, with a grain yield of 1,085 kg ha<sup>-1</sup> (<xref ref-type="fig" rid="f3">Figure 3</xref>). </p>
			<p>
				<fig id="f3">
					<label>Figure 3</label>
					<caption>
						<title>Nonlinear regression of rectangular hyperbole for soybean yield reduction under densities of <italic>C. sumatrensis</italic>. Late (A) and early (B) maturity soybean cultivars, 2017-2018 growing season.</title>
					</caption>
					<graphic xlink:href="2248-7026-rfnam-78-01-10967-gf3.jpg"/>
				</fig>
			</p>
			<p>At maximum infestation (10 plants m<sup>-2</sup>), there was a minimum reduction of 48.7% in soybean yield. These results show the substantial influence of <italic>C. sumatrensis</italic> on soybeans, making it necessary to maintain weed density at the lowest level, or absent, because even a single plant of <italic>C. sumatrensis</italic> m<sup>-2</sup> has a considerable impact on soybean yield, until 13.72%. <xref ref-type="bibr" rid="B47">Trezzi et al. (2015)</xref> concluded that a single plant of <italic>C. bonariensis</italic> m<sup>-2</sup> can reduce soybean grain yield by up to 36%. Competition between <italic>C. bonariensis</italic> and soybeans between 21 and 42 days after crop emergence can represent a reduction of 21 kg ha<sup>-1</sup> in yield per day of coexistence (<xref ref-type="bibr" rid="B45">Silva et al. 2014</xref>). This reinforces the need to keep soybean crops free from the presence of <italic>Conyza</italic> spp.</p>
			<p>Some characteristics help in explaining the high aggressiveness of <italic>Conyza</italic> spp. plants, including vigorous growth, plasticity in their life cycle, and their ability to adapt to different environments (<xref ref-type="bibr" rid="B6">Bajwa et al. 2016</xref>; <xref ref-type="bibr" rid="B5">Baccin et al. 2022</xref>). As well as when in competition, it can affect the growth and development of soybean shoots and roots (<xref ref-type="bibr" rid="B40">Rockenbach and Rizzardi 2020</xref>). Furthermore, some studies have also indicated the allelopathic effects of <italic>Conyza</italic> spp. on other plant species (<xref ref-type="bibr" rid="B18">Ferreira et al. 2020</xref>; <xref ref-type="bibr" rid="B36">Peralta et al. 2022</xref>). <italic>Conyza</italic> species were dominant in some environments, with the presence of few weeds of other species (<xref ref-type="bibr" rid="B14">Concenço and Concenço 2016</xref>). The ecophysiological characteristics of <italic>Conyza</italic> associated crop management, no-till system, continuous use of herbicides for control, and other aspects have favored the selection of resistant biotypes and dominance of this weed (<xref ref-type="bibr" rid="B6">Bajwa et al. 2016</xref>; <xref ref-type="bibr" rid="B5">Baccin et al. 2022</xref>). Therefore, this reinforces the competitive ability of this plant, even about other weeds, and helps in explaining the impact of a single m<sup>-2</sup> plant on soybean yield in the present study. </p>
			<p>The aggressiveness of <italic>Conyza</italic> spp. restates the importance of effective control, which keeps the population levels of this plant close to zero. In this study, this is reinforced by the data obtained for <italic>C. sumatrensis</italic>. Thus, the adoption of herbicides in pre- or post-emergence in combinations (<xref ref-type="bibr" rid="B13">Cantu et al. 2021</xref>; <xref ref-type="bibr" rid="B4">Albrecht et al. 2022</xref>; <xref ref-type="bibr" rid="B22">Garcia et al. 2023</xref>; <xref ref-type="bibr" rid="B35">Monteiro et al. 2024</xref>), cover crops (<xref ref-type="bibr" rid="B49">Wallace et al. 2019</xref>; <xref ref-type="bibr" rid="B8">Bunchek et al. 2020</xref>; <xref ref-type="bibr" rid="B19">Fisher and Sprague 2022</xref>, <xref ref-type="bibr" rid="B20">2023</xref>), and herbicide combinations with cover crops (<xref ref-type="bibr" rid="B44">Schramski et al. 2021</xref>) are fundamental for the control of this and other weeds. For example, vetch and barley crop residues were effective in suppressing <italic>C. canadensis</italic> (<xref ref-type="bibr" rid="B12">Campiglia et al. 2015</xref>), also maize, <italic>Urochloa</italic>, ryegrass, turnip, wheat, and black oat crop residues were effective in suppressing <italic>C. bonariensis</italic> (<xref ref-type="bibr" rid="B30">Lamego et al. 2013</xref>). Which, in the sum of research, highlights the need for integrated weed management.</p>
			<p>The adoption of these and other practices for the management of <italic>Conyza</italic> spp. is not only important for controlling and suppressing low population densities but also for controlling the advance of herbicide-resistant biotypes. Therefore, the presence of even a single plant m<sup>-2</sup> of <italic>C. sumatrensis</italic> should not be tolerated. This condition must be sought in integrated weed management, with the aim of achieving economic sustainability in soybean crops (<xref ref-type="bibr" rid="B6">Bajwa et al. 2016</xref>; <xref ref-type="bibr" rid="B39">Riemens et al. 2022</xref>). The integration of control methods is important, with preference given to those that reduce the emergence of weeds, such as crop rotation that provides soil cover with crop residues. Hand weeding is very expensive, and it becomes unfeasible even for small areas to control aggressive weeds, estimates indicate that a rural worker needs 15 days to weed one hectare, with successive interventions in order to keep the crop free from weed interference (<xref ref-type="bibr" rid="B48">Van der Weide et al. 2008</xref>). The cost of manual weeding can approach US$ 200 ha<sup>-1</sup>, a high cost per hectare, it was not considered a viable option in the economic analysis (<xref ref-type="bibr" rid="B16">Dominschek et al. 2021</xref>).</p>
			<p>Thus, the adoption of herbicides in pre- or post-emergence combinations, cover crops, and herbicide combinations with cover crops are fundamental for the control of this and other weeds. However, there are a few studies on <italic>C. sumatrensis</italic>, whereas most of the interference studies have been conducted on other species of <italic>Conyza</italic>. Therefore, extensive research on different production systems and agroecosystems needs to be carried out. Comparative tests can be conducted to determine the tolerance of cultivars in comparison with the weeds.</p>
		</sec>
		<sec sec-type="conclusions">
			<title>CONCLUSION</title>
			<p>The grain yield reduction observed for the late-maturity cultivar was 12.54 and 13.72% per plant of <italic>C. sumatrensis</italic>, in the 2016-2017 and 2017-2018 growing seasons, respectively. The early maturity cultivar showed a reduction of 9.35 and 10.77% per plant of <italic>C. sumatrensis</italic>, in the 2016-2017 and 2017-2018 growing seasons, respectively.<italic>Conyza sumatrensis</italic> cannot be tolerated in soybean crops, because a single plant per m<sup>2</sup> has great potential for reducing grain yield.</p>
		</sec>
	</body>
	<back>
		<ack>
			<title>ACKNOWLEDGMENTS</title>
			<p>The authors are grateful for the support of the Federal University of Paraná (UFPR) and the <italic>Supra Pesquisa</italic> team at UFPR.</p>
		</ack>
		<ref-list>
			<title>REFERENCES</title>
			<ref id="B1">
				<mixed-citation>Adegas FS, Vargas L, Gazziero DLP et al (2017) Impacto econômico da resistência de plantas daninhas a herbicidas no Brasil. Embrapa Soja, Londrina, PR, Brazil. 12 p.</mixed-citation>
				<element-citation publication-type="book">
					<person-group person-group-type="author">
						<name>
							<surname>Adegas</surname>
							<given-names>FS</given-names>
						</name>
						<name>
							<surname>Vargas</surname>
							<given-names>L</given-names>
						</name>
						<name>
							<surname>Gazziero</surname>
							<given-names>DLP</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2017</year>
					<source>Impacto econômico da resistência de plantas daninhas a herbicidas no Brasil</source>
					<publisher-name>Embrapa Soja</publisher-name>
					<publisher-loc>Londrina</publisher-loc>
					<size units="pages">12</size>
				</element-citation>
			</ref>
			<ref id="B2">
				<mixed-citation>Agostinetto D, Silva DRO and Vargas L (2017) Soybean yield loss and economic thresholds due to glyphosate resistant hairy fleabane interference. Arquivos do Instituto Biológico 84: e0022017. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/1808-1657000022017">https://doi.org/10.1590/1808-1657000022017</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Agostinetto</surname>
							<given-names>D</given-names>
						</name>
						<name>
							<surname>Silva</surname>
							<given-names>DRO</given-names>
						</name>
						<name>
							<surname>Vargas</surname>
							<given-names>L</given-names>
						</name>
					</person-group>
					<year>2017</year>
					<article-title>Soybean yield loss and economic thresholds due to glyphosate resistant hairy fleabane interference</article-title>
					<source>Arquivos do Instituto Biológico</source>
					<issue>84</issue>
					<elocation-id>e0022017</elocation-id>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/1808-1657000022017">https://doi.org/10.1590/1808-1657000022017</ext-link>
				</element-citation>
			</ref>
			<ref id="B3">
				<mixed-citation>Albrecht AJP, Pereira VGC, Souza CNZ et al (2020) Multiple resistance of <italic>Conyza sumatrensis</italic> to three mechanisms of action of herbicides. Acta Scientiarum Agronomy 42: e42485. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4025/actasciagron.v42i1.42485">https://doi.org/10.4025/actasciagron.v42i1.42485</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Albrecht</surname>
							<given-names>AJP</given-names>
						</name>
						<name>
							<surname>Pereira</surname>
							<given-names>VGC</given-names>
						</name>
						<name>
							<surname>Souza</surname>
							<given-names>CNZ</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2020</year>
					<article-title>Multiple resistance of Conyza sumatrensis to three mechanisms of action of herbicides</article-title>
					<source>Acta Scientiarum Agronomy</source>
					<issue>42</issue>
					<elocation-id>e42485</elocation-id>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4025/actasciagron.v42i1.42485">https://doi.org/10.4025/actasciagron.v42i1.42485</ext-link>
				</element-citation>
			</ref>
			<ref id="B4">
				<mixed-citation>Albrecht LP, Albrecht AJP, Silva AFM et al (2022) Sumatran fleabane (<italic>Conyza sumatrensis</italic> [Retz.] E. Walker) control in soybean with combinations of burndown and preemergence herbicides applied in the off-season. Arquivos do Instituto Biológico 89: e00052022. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/1808-1657000052022">https://doi.org/10.1590/1808-1657000052022</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Albrecht</surname>
							<given-names>LP</given-names>
						</name>
						<name>
							<surname>Albrecht</surname>
							<given-names>AJP</given-names>
						</name>
						<name>
							<surname>Silva</surname>
							<given-names>AFM</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2022</year>
					<article-title>Sumatran fleabane (Conyza sumatrensis [Retz.] E. Walker) control in soybean with combinations of burndown and preemergence herbicides applied in the off-season</article-title>
					<source>Arquivos do Instituto Biológico</source>
					<issue>89</issue>
					<elocation-id>e00052022</elocation-id>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/1808-1657000052022">https://doi.org/10.1590/1808-1657000052022</ext-link>
				</element-citation>
			</ref>
			<ref id="B5">
				<mixed-citation>Baccin LC, Albrecht AJP, Albrecht LP et al (2022) Mechanisms of multiple resistance to herbicides in <italic>Conyza</italic> sp. complex. Journal of Plant Protection Research 62 (2): 114-121. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.24425/jppr.2022.141358">https://doi.org/10.24425/jppr.2022.141358</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Baccin</surname>
							<given-names>LC</given-names>
						</name>
						<name>
							<surname>Albrecht</surname>
							<given-names>AJP</given-names>
						</name>
						<name>
							<surname>Albrecht</surname>
							<given-names>LP</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2022</year>
					<article-title>Mechanisms of multiple resistance to herbicides in Conyza sp. complex</article-title>
					<source>Journal of Plant Protection Research</source>
					<volume>62</volume>
					<issue>2</issue>
					<fpage>114</fpage>
					<lpage>121</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.24425/jppr.2022.141358">https://doi.org/10.24425/jppr.2022.141358</ext-link>
				</element-citation>
			</ref>
			<ref id="B6">
				<mixed-citation>Bajwa AA, Sadia S, Ali HH et al (2016) Biology and management of two important <italic>Conyza</italic> weeds: a global review. Environmental Science and Pollution Research 23: 24694-24710. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1007/s11356-016-7794-7">https://doi.org/10.1007/s11356-016-7794-7</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Bajwa</surname>
							<given-names>AA</given-names>
						</name>
						<name>
							<surname>Sadia</surname>
							<given-names>S</given-names>
						</name>
						<name>
							<surname>Ali</surname>
							<given-names>HH</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2016</year>
					<article-title>Biology and management of two important Conyza weeds: a global review</article-title>
					<source>Environmental Science and Pollution Research</source>
					<issue>23</issue>
					<fpage>24694</fpage>
					<lpage>24710</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1007/s11356-016-7794-7">https://doi.org/10.1007/s11356-016-7794-7</ext-link>
				</element-citation>
			</ref>
			<ref id="B7">
				<mixed-citation>Blainski E, Maciel CDG, Zobiole LHS et al (2015) Cloransulam-methyl efficiency in post-emergence control of <italic>Conyza bonariensis</italic> in RR™ soybeans crops. Revista Brasileira de Herbicidas 14 (3): 235-242. <ext-link ext-link-type="uri" xlink:href="http://doi.org/10.7824/rbh.v14i3.383">http://doi.org/10.7824/rbh.v14i3.383</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Blainski</surname>
							<given-names>E</given-names>
						</name>
						<name>
							<surname>Maciel</surname>
							<given-names>CDG</given-names>
						</name>
						<name>
							<surname>Zobiole</surname>
							<given-names>LHS</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2015</year>
					<article-title>Cloransulam-methyl efficiency in post-emergence control of Conyza bonariensis in RR™ soybeans crops</article-title>
					<source>Revista Brasileira de Herbicidas</source>
					<volume>14</volume>
					<issue>3</issue>
					<fpage>235</fpage>
					<lpage>242</lpage>
					<ext-link ext-link-type="uri" xlink:href="http://doi.org/10.7824/rbh.v14i3.383">http://doi.org/10.7824/rbh.v14i3.383</ext-link>
				</element-citation>
			</ref>
			<ref id="B8">
				<mixed-citation>Bunchek JM, Wallace JM, Curran WS et al (2020) Alternative performance targets for integrating cover crops as a proactive herbicide-resistance management tool. Weed Science 68 (5): 534-544. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wsc.2020.49">https://doi.org/10.1017/wsc.2020.49</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Bunchek</surname>
							<given-names>JM</given-names>
						</name>
						<name>
							<surname>Wallace</surname>
							<given-names>JM</given-names>
						</name>
						<name>
							<surname>Curran</surname>
							<given-names>WS</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2020</year>
					<article-title>Alternative performance targets for integrating cover crops as a proactive herbicide-resistance management tool</article-title>
					<source>Weed Science</source>
					<volume>68</volume>
					<issue>5</issue>
					<fpage>534</fpage>
					<lpage>544</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wsc.2020.49">https://doi.org/10.1017/wsc.2020.49</ext-link>
				</element-citation>
			</ref>
			<ref id="B9">
				<mixed-citation>Butts TR, Vieira BC, Latorre DO et al (2018) Competitiveness of herbicide-resistant waterhemp (<italic>Amaranthus tuberculatus</italic>) with soybean. Weed Science 66 (6): 729-737. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wsc.2018.45">https://doi.org/10.1017/wsc.2018.45</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Butts</surname>
							<given-names>TR</given-names>
						</name>
						<name>
							<surname>Vieira</surname>
							<given-names>BC</given-names>
						</name>
						<name>
							<surname>Latorre</surname>
							<given-names>DO</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2018</year>
					<article-title>Competitiveness of herbicide-resistant waterhemp (Amaranthus tuberculatus) with soybean</article-title>
					<source>Weed Science</source>
					<volume>66</volume>
					<issue>6</issue>
					<fpage>729</fpage>
					<lpage>737</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wsc.2018.45">https://doi.org/10.1017/wsc.2018.45</ext-link>
				</element-citation>
			</ref>
			<ref id="B10">
				<mixed-citation>Byker HP, Soltani N, Robinson DE et al (2013) Control of glyphosate-resistant horseweed (<italic>Conyza canadensis</italic>) with dicamba applied preplant and postemergence in dicamba-resistant soybean. Weed Technology 27 (3): 492-496. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1614/WT-D-13-00023.1">https://doi.org/10.1614/WT-D-13-00023.1</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Byker</surname>
							<given-names>HP</given-names>
						</name>
						<name>
							<surname>Soltani</surname>
							<given-names>N</given-names>
						</name>
						<name>
							<surname>Robinson</surname>
							<given-names>DE</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2013</year>
					<article-title>Control of glyphosate-resistant horseweed (Conyza canadensis) with dicamba applied preplant and postemergence in dicamba-resistant soybean</article-title>
					<source>Weed Technology</source>
					<volume>27</volume>
					<issue>3</issue>
					<fpage>492</fpage>
					<lpage>496</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1614/WT-D-13-00023.1">https://doi.org/10.1614/WT-D-13-00023.1</ext-link>
				</element-citation>
			</ref>
			<ref id="B11">
				<mixed-citation>Caldas JVS, Silva AG, Braz GBP et al (2023) Weed competition on soybean varieties from different relative maturity groups. Agriculture 13 (3): 725. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3390/agriculture13030725">https://doi.org/10.3390/agriculture13030725</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Caldas</surname>
							<given-names>JVS</given-names>
						</name>
						<name>
							<surname>Silva</surname>
							<given-names>AG</given-names>
						</name>
						<name>
							<surname>Braz</surname>
							<given-names>GBP</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2023</year>
					<article-title>Weed competition on soybean varieties from different relative maturity groups</article-title>
					<source>Agriculture</source>
					<volume>13</volume>
					<issue>3</issue>
					<fpage>725</fpage>
					<lpage>725</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3390/agriculture13030725">https://doi.org/10.3390/agriculture13030725</ext-link>
				</element-citation>
			</ref>
			<ref id="B12">
				<mixed-citation>Campiglia E, Radicetti E and Mancinelli R (2015) Cover crops and mulches influence weed management and weed flora composition in strip‐tilled tomato (<italic>Solanum lycopersicum</italic>). Weed Research 55 (4): 416-425. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1111/wre.12156">https://doi.org/10.1111/wre.12156</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Campiglia</surname>
							<given-names>E</given-names>
						</name>
						<name>
							<surname>Radicetti</surname>
							<given-names>E</given-names>
						</name>
						<name>
							<surname>Mancinelli</surname>
							<given-names>R</given-names>
						</name>
					</person-group>
					<year>2015</year>
					<article-title>Cover crops and mulches influence weed management and weed flora composition in strip‐tilled tomato (Solanum lycopersicum)</article-title>
					<source>Weed Research</source>
					<volume>55</volume>
					<issue>4</issue>
					<fpage>416</fpage>
					<lpage>425</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1111/wre.12156">https://doi.org/10.1111/wre.12156</ext-link>
				</element-citation>
			</ref>
			<ref id="B13">
				<mixed-citation>Cantu RM, Albrecht LP, Albrecht AJP et al (2021) Herbicide alternative for <italic>Conyza sumatrensis</italic> control in pre-planting in no-till soybeans. Advances in Weed Science 39: e2021000025. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.51694/AdvWeedSci/2021;39:000012">https://doi.org/10.51694/AdvWeedSci/2021;39:000012</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Cantu</surname>
							<given-names>RM</given-names>
						</name>
						<name>
							<surname>Albrecht</surname>
							<given-names>LP</given-names>
						</name>
						<name>
							<surname>Albrecht</surname>
							<given-names>AJP</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2021</year>
					<article-title>Herbicide alternative for Conyza sumatrensis control in pre-planting in no-till soybeans</article-title>
					<source>Advances in Weed Science</source>
					<issue>39</issue>
					<elocation-id>e2021000025</elocation-id>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.51694/AdvWeedSci/2021;39:000012">https://doi.org/10.51694/AdvWeedSci/2021;39:000012</ext-link>
				</element-citation>
			</ref>
			<ref id="B14">
				<mixed-citation>Concenço G and Concenço SE (2016) <italic>Conyza</italic> spp.: From ugly duckling to agriculture’s fittest swan-brief review. Planta Daninha 34 (1): 183-189. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/S0100-83582016340100019">https://doi.org/10.1590/S0100-83582016340100019</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Concenço</surname>
							<given-names>G</given-names>
						</name>
						<name>
							<surname>Concenço</surname>
							<given-names>SE</given-names>
						</name>
					</person-group>
					<year>2016</year>
					<article-title>Conyza spp.: From ugly duckling to agriculture’s fittest swan-brief review</article-title>
					<source>Planta Daninha</source>
					<volume>34</volume>
					<issue>1</issue>
					<fpage>183</fpage>
					<lpage>189</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/S0100-83582016340100019">https://doi.org/10.1590/S0100-83582016340100019</ext-link>
				</element-citation>
			</ref>
			<ref id="B15">
				<mixed-citation>Correia NM (2023) Interference of glyphosate-resistant conyza sumatrensis in soybean crops in Central Brazil. Advances in Weed Science 41: e020230071. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.51694/AdvWeedSci/2023;41:00018">https://doi.org/10.51694/AdvWeedSci/2023;41:00018</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Correia</surname>
							<given-names>NM</given-names>
						</name>
					</person-group>
					<year>2023</year>
					<article-title>Interference of glyphosate-resistant conyza sumatrensis in soybean crops in Central Brazil</article-title>
					<source>Advances in Weed Science</source>
					<issue>41</issue>
					<elocation-id>e020230071</elocation-id>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.51694/AdvWeedSci/2023;41:00018">https://doi.org/10.51694/AdvWeedSci/2023;41:00018</ext-link>
				</element-citation>
			</ref>
			<ref id="B16">
				<mixed-citation>Dominschek R, Barroso AAM, Lang CR et al (2021) Crop rotations with temporary grassland shifts weed patterns and allows herbicide-free management without crop yield loss. Journal of Cleaner Production 306: 127140. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.jclepro.2021.127140">https://doi.org/10.1016/j.jclepro.2021.127140</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Dominschek</surname>
							<given-names>R</given-names>
						</name>
						<name>
							<surname>Barroso</surname>
							<given-names>AAM</given-names>
						</name>
						<name>
							<surname>Lang</surname>
							<given-names>CR</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2021</year>
					<article-title>Crop rotations with temporary grassland shifts weed patterns and allows herbicide-free management without crop yield loss</article-title>
					<source>Journal of Cleaner Production</source>
					<issue>306</issue>
					<fpage>127140</fpage>
					<lpage>127140</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.jclepro.2021.127140">https://doi.org/10.1016/j.jclepro.2021.127140</ext-link>
				</element-citation>
			</ref>
			<ref id="B17">
				<mixed-citation>Ferreira DF (2011) Sisvar: a computer statistical analysis system. Ciência e Agrotecnologia 35 (6): 1039-1042. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/S1413-70542011000600001">https://doi.org/10.1590/S1413-70542011000600001</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Ferreira</surname>
							<given-names>DF</given-names>
						</name>
					</person-group>
					<year>2011</year>
					<article-title>Sisvar: a computer statistical analysis system</article-title>
					<source>Ciência e Agrotecnologia</source>
					<volume>35</volume>
					<issue>6</issue>
					<fpage>1039</fpage>
					<lpage>1042</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/S1413-70542011000600001">https://doi.org/10.1590/S1413-70542011000600001</ext-link>
				</element-citation>
			</ref>
			<ref id="B18">
				<mixed-citation>Ferreira PJ, Zonetti PC, Albrecht AJP et al (2020) <italic>Conyza sumatrensis</italic> allelopathy effect on <italic>Bidens Pilosa</italic> (Asteraceae) seed germination. Botanical Sciences 98 (2): 348-354. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.17129/botsci.2445">https://doi.org/10.17129/botsci.2445</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Ferreira</surname>
							<given-names>PJ</given-names>
						</name>
						<name>
							<surname>Zonetti</surname>
							<given-names>PC</given-names>
						</name>
						<name>
							<surname>Albrecht</surname>
							<given-names>AJP</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2020</year>
					<article-title>Conyza sumatrensis allelopathy effect on Bidens Pilosa (Asteraceae) seed germination</article-title>
					<source>Botanical Sciences</source>
					<volume>98</volume>
					<issue>2</issue>
					<fpage>348</fpage>
					<lpage>354</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.17129/botsci.2445">https://doi.org/10.17129/botsci.2445</ext-link>
				</element-citation>
			</ref>
			<ref id="B19">
				<mixed-citation>Fisher JL and Sprague CL (2022) Narrow-row soybean and a cereal rye cover crop suppress glyphosate-resistant horseweed (<italic>Conyza canadensis</italic>). Weed Technology 36 (6): 781-788. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wet.2022.82">https://doi.org/10.1017/wet.2022.82</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Fisher</surname>
							<given-names>JL</given-names>
						</name>
						<name>
							<surname>Sprague</surname>
							<given-names>CL</given-names>
						</name>
					</person-group>
					<year>2022</year>
					<article-title>Narrow-row soybean and a cereal rye cover crop suppress glyphosate-resistant horseweed (Conyza canadensis)</article-title>
					<source>Weed Technology</source>
					<volume>36</volume>
					<issue>6</issue>
					<fpage>781</fpage>
					<lpage>788</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wet.2022.82">https://doi.org/10.1017/wet.2022.82</ext-link>
				</element-citation>
			</ref>
			<ref id="B20">
				<mixed-citation>Fisher JL and Sprague CL (2023) Contributions of shading, soybean (<italic>Glycine max</italic>) row width, and planting green on horseweed (<italic>Conyza canadensis</italic>) management compared with soil-applied residual herbicides. Weed Technology 37 (4): 383-393. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wet.2023.49">https://doi.org/10.1017/wet.2023.49</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Fisher</surname>
							<given-names>JL</given-names>
						</name>
						<name>
							<surname>Sprague</surname>
							<given-names>CL</given-names>
						</name>
					</person-group>
					<year>2023</year>
					<article-title>Contributions of shading, soybean (Glycine max) row width, and planting green on horseweed (Conyza canadensis) management compared with soil-applied residual herbicides</article-title>
					<source>Weed Technology</source>
					<volume>37</volume>
					<issue>4</issue>
					<fpage>383</fpage>
					<lpage>393</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wet.2023.49">https://doi.org/10.1017/wet.2023.49</ext-link>
				</element-citation>
			</ref>
			<ref id="B21">
				<mixed-citation>Frisvold GB, Bagavathiannan MV and Norsworthy JK (2017) Positive and normative modeling for Palmer amaranth control and herbicide resistance management. Pest Management Science 73 (6): 1110-1120. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1002/ps.4537">https://doi.org/10.1002/ps.4537</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Frisvold</surname>
							<given-names>GB</given-names>
						</name>
						<name>
							<surname>Bagavathiannan</surname>
							<given-names>MV</given-names>
						</name>
						<name>
							<surname>Norsworthy</surname>
							<given-names>JK</given-names>
						</name>
					</person-group>
					<year>2017</year>
					<article-title>Positive and normative modeling for Palmer amaranth control and herbicide resistance management</article-title>
					<source>Pest Management Science</source>
					<volume>73</volume>
					<issue>6</issue>
					<fpage>1110</fpage>
					<lpage>1120</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1002/ps.4537">https://doi.org/10.1002/ps.4537</ext-link>
				</element-citation>
			</ref>
			<ref id="B22">
				<mixed-citation>Garcia FC, Albrecht AJP, Albrecht LP et al (2023) Efficacy of pre-emergence herbicides in controlling Sumatran fleabane (<italic>Conyza sumatrensis</italic>) in the off-season. Agronomy Research 21 (3): 1119-1127. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.15159/ar.23.042">https://doi.org/10.15159/ar.23.042</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Garcia</surname>
							<given-names>FC</given-names>
						</name>
						<name>
							<surname>Albrecht</surname>
							<given-names>AJP</given-names>
						</name>
						<name>
							<surname>Albrecht</surname>
							<given-names>LP</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2023</year>
					<article-title>Efficacy of pre-emergence herbicides in controlling Sumatran fleabane (Conyza sumatrensis) in the off-season</article-title>
					<source>Agronomy Research</source>
					<volume>21</volume>
					<issue>3</issue>
					<fpage>1119</fpage>
					<lpage>1127</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.15159/ar.23.042">https://doi.org/10.15159/ar.23.042</ext-link>
				</element-citation>
			</ref>
			<ref id="B23">
				<mixed-citation>Gazziero DLP, Adegas FS, Silva AF et al (2019) Estimating yield losses in soybean due to sourgrass interference. Planta Daninha 37: e019190835. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/S0100-83582019370100047">https://doi.org/10.1590/S0100-83582019370100047</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Gazziero</surname>
							<given-names>DLP</given-names>
						</name>
						<name>
							<surname>Adegas</surname>
							<given-names>FS</given-names>
						</name>
						<name>
							<surname>Silva</surname>
							<given-names>AF</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2019</year>
					<article-title>Estimating yield losses in soybean due to sourgrass interference</article-title>
					<source>Planta Daninha</source>
					<issue>37</issue>
					<elocation-id>e019190835</elocation-id>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/S0100-83582019370100047">https://doi.org/10.1590/S0100-83582019370100047</ext-link>
				</element-citation>
			</ref>
			<ref id="B24">
				<mixed-citation>Heap IM (2024) International survey of herbicide resistant weeds. In: <ext-link ext-link-type="uri" xlink:href="https://www.weedscience.org/Home.aspx">https://www.weedscience.org/Home.aspx</ext-link>
				</mixed-citation>
				<element-citation publication-type="webpage">
					<person-group person-group-type="author">
						<name>
							<surname>Heap</surname>
							<given-names>IM</given-names>
						</name>
					</person-group>
					<year>2024</year>
					<source>International survey of herbicide resistant weeds</source>
					<ext-link ext-link-type="uri" xlink:href="https://www.weedscience.org/Home.aspx">https://www.weedscience.org/Home.aspx</ext-link>
				</element-citation>
			</ref>
			<ref id="B25">
				<mixed-citation>Horvath DP, Clay SA, Swanton CJ et al (2023) Weed-induced crop yield loss: a new paradigm and new challenges. Trends in Plant Science 28 (5): 567-582. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.tplants.2022.12.014">https://doi.org/10.1016/j.tplants.2022.12.014</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Horvath</surname>
							<given-names>DP</given-names>
						</name>
						<name>
							<surname>Clay</surname>
							<given-names>SA</given-names>
						</name>
						<name>
							<surname>Swanton</surname>
							<given-names>CJ</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2023</year>
					<article-title>Weed-induced crop yield loss: a new paradigm and new challenges</article-title>
					<source>Trends in Plant Science</source>
					<volume>28</volume>
					<issue>5</issue>
					<fpage>567</fpage>
					<lpage>582</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.tplants.2022.12.014">https://doi.org/10.1016/j.tplants.2022.12.014</ext-link>
				</element-citation>
			</ref>
			<ref id="B26">
				<mixed-citation>Kalsing A and Vidal RA (2013) Critical density of alexander grass in common bean. Planta Daninha 31 (4): 843-850. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/S0100-83582013000400010">https://doi.org/10.1590/S0100-83582013000400010</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Kalsing</surname>
							<given-names>A</given-names>
						</name>
						<name>
							<surname>Vidal</surname>
							<given-names>RA</given-names>
						</name>
					</person-group>
					<year>2013</year>
					<article-title>Critical density of alexander grass in common bean</article-title>
					<source>Planta Daninha</source>
					<volume>31</volume>
					<issue>4</issue>
					<fpage>843</fpage>
					<lpage>850</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/S0100-83582013000400010">https://doi.org/10.1590/S0100-83582013000400010</ext-link>
				</element-citation>
			</ref>
			<ref id="B27">
				<mixed-citation>Kalsing A, Nunes FA, Gotardi GA et al (2024) Taxonomic resolution of fleabane species (<italic>Conyza</italic> spp.) based on morphological and molecular markers and their dispersion across soybean-cropping macroregions and seasons in Brazil. Weed Science 72 (2): 192-204. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wsc.2024.3">https://doi.org/10.1017/wsc.2024.3</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Kalsing</surname>
							<given-names>A</given-names>
						</name>
						<name>
							<surname>Nunes</surname>
							<given-names>FA</given-names>
						</name>
						<name>
							<surname>Gotardi</surname>
							<given-names>GA</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2024</year>
					<article-title>Taxonomic resolution of fleabane species (Conyza spp.) based on morphological and molecular markers and their dispersion across soybean-cropping macroregions and seasons in Brazil</article-title>
					<source>Weed Science</source>
					<volume>72</volume>
					<issue>2</issue>
					<fpage>192</fpage>
					<lpage>204</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wsc.2024.3">https://doi.org/10.1017/wsc.2024.3</ext-link>
				</element-citation>
			</ref>
			<ref id="B28">
				<mixed-citation>Korres NE, Norsworthy JK and Mauromoustakos A (2019) Effects of Palmer amaranth (<italic>Amaranthus palmeri</italic>) establishment time and distance from the crop row on biological and phenological characteristics of the weed: implications on soybean yield. Weed Science 67 (1): 126-135. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wsc.2018.84">https://doi.org/10.1017/wsc.2018.84</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Korres</surname>
							<given-names>NE</given-names>
						</name>
						<name>
							<surname>Norsworthy</surname>
							<given-names>JK</given-names>
						</name>
						<name>
							<surname>Mauromoustakos</surname>
							<given-names>A</given-names>
						</name>
					</person-group>
					<year>2019</year>
					<article-title>Effects of Palmer amaranth (Amaranthus palmeri) establishment time and distance from the crop row on biological and phenological characteristics of the weed: implications on soybean yield</article-title>
					<source>Weed Science</source>
					<volume>67</volume>
					<issue>1</issue>
					<fpage>126</fpage>
					<lpage>135</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wsc.2018.84">https://doi.org/10.1017/wsc.2018.84</ext-link>
				</element-citation>
			</ref>
			<ref id="B29">
				<mixed-citation>Korres NE, Norsworthy JK, Mauromoustakos A et al (2020) Soybean density and Palmer amaranth (<italic>Amaranthus palmeri</italic>) establishment time: effects on weed biology, crop yield, and economic returns. Weed Science 68 (5): 467-475. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wsc.2020.41">https://doi.org/10.1017/wsc.2020.41</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Korres</surname>
							<given-names>NE</given-names>
						</name>
						<name>
							<surname>Norsworthy</surname>
							<given-names>JK</given-names>
						</name>
						<name>
							<surname>Mauromoustakos</surname>
							<given-names>A</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2020</year>
					<article-title>Soybean density and Palmer amaranth (Amaranthus palmeri) establishment time: effects on weed biology, crop yield, and economic returns</article-title>
					<source>Weed Science</source>
					<volume>68</volume>
					<issue>5</issue>
					<fpage>467</fpage>
					<lpage>475</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wsc.2020.41">https://doi.org/10.1017/wsc.2020.41</ext-link>
				</element-citation>
			</ref>
			<ref id="B30">
				<mixed-citation>Lamego FP, Kaspary TE, Ruchel Q et al (2013) Management of glyphosate resistant <italic>Conyza bonariensis</italic>: winter cover crops and herbicides in soybean pre-seeding. Planta Daninha 31 (2): 433-442. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/S0100-83582013000200022">https://doi.org/10.1590/S0100-83582013000200022</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Lamego</surname>
							<given-names>FP</given-names>
						</name>
						<name>
							<surname>Kaspary</surname>
							<given-names>TE</given-names>
						</name>
						<name>
							<surname>Ruchel</surname>
							<given-names>Q</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2013</year>
					<article-title>Management of glyphosate resistant Conyza bonariensis: winter cover crops and herbicides in soybean pre-seeding</article-title>
					<source>Planta Daninha</source>
					<volume>31</volume>
					<issue>2</issue>
					<fpage>433</fpage>
					<lpage>442</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/S0100-83582013000200022">https://doi.org/10.1590/S0100-83582013000200022</ext-link>
				</element-citation>
			</ref>
			<ref id="B31">
				<mixed-citation>Liu J, Zhao Q, Huang H, Ye R et al (2022) Dynamic seed emission, dispersion, and deposition from horseweed (<italic>Conyza canadensis</italic> (L.) Cronquist). Plants 11 (9): 1102. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3390/plants11091102">https://doi.org/10.3390/plants11091102</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Liu</surname>
							<given-names>J</given-names>
						</name>
						<name>
							<surname>Zhao</surname>
							<given-names>Q</given-names>
						</name>
						<name>
							<surname>Huang</surname>
							<given-names>H</given-names>
						</name>
						<name>
							<surname>Ye</surname>
							<given-names>R</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2022</year>
					<article-title>Dynamic seed emission, dispersion, and deposition from horseweed (Conyza canadensis (L.) Cronquist)</article-title>
					<source>Plants</source>
					<volume>11</volume>
					<issue>9</issue>
					<fpage>1102</fpage>
					<lpage>1102</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3390/plants11091102">https://doi.org/10.3390/plants11091102</ext-link>
				</element-citation>
			</ref>
			<ref id="B32">
				<mixed-citation>Lorenzetti JB, Danilussi MTY, Albrecht AJP et al (2024) Identification, mapping, and chemical control of fleabane resistant to glyphosate, chlorimuron, paraquat, and 2, 4-D. Weed Technology 38: e27. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wet.2024.10">https://doi.org/10.1017/wet.2024.10</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Lorenzetti</surname>
							<given-names>JB</given-names>
						</name>
						<name>
							<surname>Danilussi</surname>
							<given-names>MTY</given-names>
						</name>
						<name>
							<surname>Albrecht</surname>
							<given-names>AJP</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2024</year>
					<article-title>Identification, mapping, and chemical control of fleabane resistant to glyphosate, chlorimuron, paraquat, and 2, 4-D</article-title>
					<source>Weed Technology</source>
					<issue>38</issue>
					<elocation-id>e27</elocation-id>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wet.2024.10">https://doi.org/10.1017/wet.2024.10</ext-link>
				</element-citation>
			</ref>
			<ref id="B33">
				<mixed-citation>Machado AB, Trezzi MMI, Vidal RA et al (2015) Grain yield of beans and weed economic threshold in two periods of competition with <italic>Euphorbia heterophylla</italic>. Planta Daninha 33 (1): 41-48. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/S0100-83582015000100005">https://doi.org/10.1590/S0100-83582015000100005</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>achado</surname>
							<given-names>AB</given-names>
						</name>
						<name>
							<surname>Trezzi</surname>
							<given-names>MMI</given-names>
						</name>
						<name>
							<surname>Vidal</surname>
							<given-names>RA</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2015</year>
					<article-title>Grain yield of beans and weed economic threshold in two periods of competition with Euphorbia heterophylla</article-title>
					<source>Planta Daninha</source>
					<volume>33</volume>
					<issue>1</issue>
					<fpage>41</fpage>
					<lpage>48</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/S0100-83582015000100005">https://doi.org/10.1590/S0100-83582015000100005</ext-link>
				</element-citation>
			</ref>
			<ref id="B34">
				<mixed-citation>Marochio CA, Bevilaqua MRR, Takano HK et al (2017) Genetic admixture in species of <italic>Conyza</italic> (Asteraceae) as revealed by microsatellite markers. Acta Scientiarum. Agronomy 39 (4): 437-445. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4025/actasciagron.v39i4.32947">https://doi.org/10.4025/actasciagron.v39i4.32947</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Marochio</surname>
							<given-names>CA</given-names>
						</name>
						<name>
							<surname>Bevilaqua</surname>
							<given-names>MRR</given-names>
						</name>
						<name>
							<surname>Takano</surname>
							<given-names>HK</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2017</year>
					<article-title>Genetic admixture in species of Conyza (Asteraceae) as revealed by microsatellite markers. Acta Scientiarum</article-title>
					<source>Agronomy</source>
					<volume>39</volume>
					<issue>4</issue>
					<fpage>437</fpage>
					<lpage>445</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4025/actasciagron.v39i4.32947">https://doi.org/10.4025/actasciagron.v39i4.32947</ext-link>
				</element-citation>
			</ref>
			<ref id="B35">
				<mixed-citation>Monteiro MS, Silva PV, Medeiros ES et al (2024) Conyza spp. control and selectivity of 2,4-D in ENLIST® soybean. Revista Brasileira de Engenharia Agrícola e Ambiental 29 (1): e280636. <ext-link ext-link-type="uri" xlink:href="https://www.scielo.br/j/rbeaa/a/KKY9hrrxsfmsk6QzqWwVPPn/">https://www.scielo.br/j/rbeaa/a/KKY9hrrxsfmsk6QzqWwVPPn/</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Monteiro</surname>
							<given-names>MS</given-names>
						</name>
						<name>
							<surname>Silva</surname>
							<given-names>PV</given-names>
						</name>
						<name>
							<surname>Medeiros</surname>
							<given-names>ES</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2024</year>
					<article-title>Conyza spp. control and selectivity of 2,4-D in ENLIST® soybean</article-title>
					<source>Revista Brasileira de Engenharia Agrícola e Ambiental</source>
					<volume>29</volume>
					<issue>1</issue>
					<elocation-id>e280636</elocation-id>
					<ext-link ext-link-type="uri" xlink:href="https://www.scielo.br/j/rbeaa/a/KKY9hrrxsfmsk6QzqWwVPPn/">https://www.scielo.br/j/rbeaa/a/KKY9hrrxsfmsk6QzqWwVPPn/</ext-link>
				</element-citation>
			</ref>
			<ref id="B36">
				<mixed-citation>Peralta AC, Soriano G, Zorrilla JG et al (2022) Characterization of <italic>Conyza bonariensis</italic> allelochemicals against broomrape weeds. Molecules 27 (21): 7421. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3390/molecules27217421">https://doi.org/10.3390/molecules27217421</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Peralta</surname>
							<given-names>AC</given-names>
						</name>
						<name>
							<surname>Soriano</surname>
							<given-names>G</given-names>
						</name>
						<name>
							<surname>Zorrilla</surname>
							<given-names>JG</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2022</year>
					<article-title>Characterization of Conyza bonariensis allelochemicals against broomrape weeds</article-title>
					<source>Molecules</source>
					<volume>27</volume>
					<issue>21</issue>
					<fpage>7421</fpage>
					<lpage>7421</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3390/molecules27217421">https://doi.org/10.3390/molecules27217421</ext-link>
				</element-citation>
			</ref>
			<ref id="B37">
				<mixed-citation>Pinho CF, Leal JFL, Souza AS et al (2019) First evidence of multiple resistance of Sumatran fleabane (<italic>Conyza sumatrensis</italic> (Retz.) E. Walker) to five-mode-of-action herbicides. Australian Journal of Crop Science 13 (10): 1688-1697. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.21475/ajcs.19.13.10.p1981">https://doi.org/10.21475/ajcs.19.13.10.p1981</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Pinho</surname>
							<given-names>CF</given-names>
						</name>
						<name>
							<surname>Leal</surname>
							<given-names>JFL</given-names>
						</name>
						<name>
							<surname>Souza</surname>
							<given-names>AS</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2019</year>
					<article-title>First evidence of multiple resistance of Sumatran fleabane (Conyza sumatrensis (Retz.) E. Walker) to five-mode-of-action herbicides</article-title>
					<source>Australian Journal of Crop Science</source>
					<volume>13</volume>
					<issue>10</issue>
					<fpage>1688</fpage>
					<lpage>1697</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.21475/ajcs.19.13.10.p1981">https://doi.org/10.21475/ajcs.19.13.10.p1981</ext-link>
				</element-citation>
			</ref>
			<ref id="B38">
				<mixed-citation>Queiroz AR, Delatorre CA, Lucio FR et al (2020) Rapid necrosis: a novel plant resistance mechanism to 2, 4-D. Weed Science 68 (1): 6-18. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wsc.2019.65">https://doi.org/10.1017/wsc.2019.65</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Queiroz</surname>
							<given-names>AR</given-names>
						</name>
						<name>
							<surname>Delatorre</surname>
							<given-names>CA</given-names>
						</name>
						<name>
							<surname>Lucio</surname>
							<given-names>FR</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2020</year>
					<article-title>Rapid necrosis: a novel plant resistance mechanism to 2, 4-D</article-title>
					<source>Weed Science</source>
					<volume>68</volume>
					<issue>1</issue>
					<fpage>6</fpage>
					<lpage>18</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wsc.2019.65">https://doi.org/10.1017/wsc.2019.65</ext-link>
				</element-citation>
			</ref>
			<ref id="B39">
				<mixed-citation>Riemens M, Sønderskov M, Moonen AC et al (2022) An integrated weed management framework: A pan-european perspective. European Journal of Agronomy 133: 126443. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.eja.2021.126443">https://doi.org/10.1016/j.eja.2021.126443</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Riemens</surname>
							<given-names>M</given-names>
						</name>
						<name>
							<surname>Sønderskov</surname>
							<given-names>M</given-names>
						</name>
						<name>
							<surname>Moonen</surname>
							<given-names>AC</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2022</year>
					<article-title>An integrated weed management framework: A pan-european perspective</article-title>
					<source>European Journal of Agronomy</source>
					<issue>133</issue>
					<fpage>126443</fpage>
					<lpage>126443</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1016/j.eja.2021.126443">https://doi.org/10.1016/j.eja.2021.126443</ext-link>
				</element-citation>
			</ref>
			<ref id="B40">
				<mixed-citation>Rockenbach AP and Rizzardi MA (2020) Competition at the soybean V6 stage affects root morphology and biochemical composition. Plant Biology 22 (2): 252-258. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1111/plb.13070">https://doi.org/10.1111/plb.13070</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Rockenbach</surname>
							<given-names>AP</given-names>
						</name>
						<name>
							<surname>Rizzardi</surname>
							<given-names>MA</given-names>
						</name>
					</person-group>
					<year>2020</year>
					<article-title>Competition at the soybean V6 stage affects root morphology and biochemical composition</article-title>
					<source>Plant Biology</source>
					<volume>22</volume>
					<issue>2</issue>
					<fpage>252</fpage>
					<lpage>258</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1111/plb.13070">https://doi.org/10.1111/plb.13070</ext-link>
				</element-citation>
			</ref>
			<ref id="B41">
				<mixed-citation>Roncatto E, Barroso AAM, Calegarim J et al (2021) Control period and economic threshold level of glyphosate tolerant weeds in 2,4-D resistant soybean. Australian Journal of Crop Science 15 (2): 297-304. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.21475/ajcs.21.15.02.p3085">https://doi.org/10.21475/ajcs.21.15.02.p3085</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Roncatto</surname>
							<given-names>E</given-names>
						</name>
						<name>
							<surname>Barroso</surname>
							<given-names>AAM</given-names>
						</name>
						<name>
							<surname>Calegarim</surname>
							<given-names>J</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2021</year>
					<article-title>Control period and economic threshold level of glyphosate tolerant weeds in 2,4-D resistant soybean</article-title>
					<source>Australian Journal of Crop Science</source>
					<volume>15</volume>
					<issue>2</issue>
					<fpage>297</fpage>
					<lpage>304</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.21475/ajcs.21.15.02.p3085">https://doi.org/10.21475/ajcs.21.15.02.p3085</ext-link>
				</element-citation>
			</ref>
			<ref id="B42">
				<mixed-citation>Ruiz MR, Mangolin CA, Oliveira Junior RS et al (2022) Mechanisms that may lead to high genetic divergence and to the invasive success of tall fleabane (<italic>Conyza sumatrensis</italic>; Asteraceae). Weed Science 70 (1): 64-78. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wsc.2021.59">https://doi.org/10.1017/wsc.2021.59</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Ruiz</surname>
							<given-names>MR</given-names>
						</name>
						<name>
							<surname>Mangolin</surname>
							<given-names>CA</given-names>
						</name>
						<name>
							<surname>Oliveira</surname>
							<given-names>RS</given-names>
							<suffix>Junior</suffix>
						</name>
						<etal/>
					</person-group>
					<year>2022</year>
					<article-title>Mechanisms that may lead to high genetic divergence and to the invasive success of tall fleabane (Conyza sumatrensis; Asteraceae)</article-title>
					<source>Weed Science</source>
					<volume>70</volume>
					<issue>1</issue>
					<fpage>64</fpage>
					<lpage>78</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wsc.2021.59">https://doi.org/10.1017/wsc.2021.59</ext-link>
				</element-citation>
			</ref>
			<ref id="B43">
				<mixed-citation>Santos G, Oliveira Junior RS, Constantin J et al (2014) Multiple resistance of <italic>Conyza sumatrensis</italic> to chlorimuron ethyl and to glyphosate. Planta Daninha 32 (2): 409-416. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/S0100-83582014000200019">https://doi.org/10.1590/S0100-83582014000200019</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Santos</surname>
							<given-names>G</given-names>
						</name>
						<name>
							<surname>Oliveira</surname>
							<given-names>RS</given-names>
							<suffix>Junior</suffix>
						</name>
						<name>
							<surname>Constantin</surname>
							<given-names>J</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2014</year>
					<article-title>Multiple resistance of Conyza sumatrensis to chlorimuron ethyl and to glyphosate</article-title>
					<source>Planta Daninha</source>
					<volume>32</volume>
					<issue>2</issue>
					<fpage>409</fpage>
					<lpage>416</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/S0100-83582014000200019">https://doi.org/10.1590/S0100-83582014000200019</ext-link>
				</element-citation>
			</ref>
			<ref id="B44">
				<mixed-citation>Schramski JA, Sprague CL and Renner KA (2021) Integrating fall-planted cereal cover crops and preplant herbicides for glyphosate-resistant horseweed (<italic>Conyza canadensis</italic>) management in soybean. Weed Technology 35 (2): 234-241. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wet.2020.117">https://doi.org/10.1017/wet.2020.117</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Schramski</surname>
							<given-names>JA</given-names>
						</name>
						<name>
							<surname>Sprague</surname>
							<given-names>CL</given-names>
						</name>
						<name>
							<surname>Renner</surname>
							<given-names>KA</given-names>
						</name>
					</person-group>
					<year>2021</year>
					<article-title>Integrating fall-planted cereal cover crops and preplant herbicides for glyphosate-resistant horseweed (Conyza canadensis) management in soybean</article-title>
					<source>Weed Technology</source>
					<volume>35</volume>
					<issue>2</issue>
					<fpage>234</fpage>
					<lpage>241</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wet.2020.117">https://doi.org/10.1017/wet.2020.117</ext-link>
				</element-citation>
			</ref>
			<ref id="B45">
				<mixed-citation>Silva DRO, Vargas L, Agostinetto D, Mariani F (2014) Glyphosate-resistant hairy fleabane competition in RR® soybean. Bragantia 73 (4): 451-457. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/1678-4499.0200">https://doi.org/10.1590/1678-4499.0200</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Silva</surname>
							<given-names>DRO</given-names>
						</name>
						<name>
							<surname>Vargas</surname>
							<given-names>L</given-names>
						</name>
						<name>
							<surname>Agostinetto</surname>
							<given-names>D</given-names>
						</name>
						<name>
							<surname>Mariani</surname>
							<given-names>F</given-names>
						</name>
					</person-group>
					<year>2014</year>
					<article-title>Glyphosate-resistant hairy fleabane competition in RR® soybean</article-title>
					<source>Bragantia</source>
					<volume>73</volume>
					<issue>4</issue>
					<fpage>451</fpage>
					<lpage>457</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/1678-4499.0200">https://doi.org/10.1590/1678-4499.0200</ext-link>
				</element-citation>
			</ref>
			<ref id="B46">
				<mixed-citation>Swanton CJ, Nkoa R and Blackshaw RE (2015) Experimental methods for crop-weed competition studies. Weed Science 63 (sp1): 2-11. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1614/WS-D-13-00062.1">https://doi.org/10.1614/WS-D-13-00062.1</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Swanton</surname>
							<given-names>CJ</given-names>
						</name>
						<name>
							<surname>Nkoa</surname>
							<given-names>R</given-names>
						</name>
						<name>
							<surname>Blackshaw</surname>
							<given-names>RE</given-names>
						</name>
					</person-group>
					<year>2015</year>
					<article-title>Experimental methods for crop-weed competition studies</article-title>
					<source>Weed Science</source>
					<volume>63</volume>
					<supplement>sp1</supplement>
					<fpage>2</fpage>
					<lpage>11</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1614/WS-D-13-00062.1">https://doi.org/10.1614/WS-D-13-00062.1</ext-link>
				</element-citation>
			</ref>
			<ref id="B47">
				<mixed-citation>Trezzi MM, Vidal RA, Patel F et al (2015) Impact of <italic>Conyza bonariensis</italic> density and establishment period on soyabean grain yield, yield components and economic threshold. Weed Research 55 (1): 34-41. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1111/wre.12125">https://doi.org/10.1111/wre.12125</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Trezzi</surname>
							<given-names>MM</given-names>
						</name>
						<name>
							<surname>Vidal</surname>
							<given-names>RA</given-names>
						</name>
						<name>
							<surname>Patel</surname>
							<given-names>F</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2015</year>
					<article-title>Impact of Conyza bonariensis density and establishment period on soyabean grain yield, yield components and economic threshold</article-title>
					<source>Weed Research</source>
					<volume>55</volume>
					<issue>1</issue>
					<fpage>34</fpage>
					<lpage>41</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1111/wre.12125">https://doi.org/10.1111/wre.12125</ext-link>
				</element-citation>
			</ref>
			<ref id="B48">
				<mixed-citation>Van der Weide R, Bleeker PO, Achten VTJM, Lotz LAP et al (2008) Innovation in mechanical weed control in crop rows. Weed Research 48 (3): 215-224. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1111/j.1365-3180.2008.00629.x">https://doi.org/10.1111/j.1365-3180.2008.00629.x</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Van der Weide</surname>
							<given-names>R</given-names>
						</name>
						<name>
							<surname>Bleeker</surname>
							<given-names>PO</given-names>
						</name>
						<name>
							<surname>Achten</surname>
							<given-names>VTJM</given-names>
						</name>
						<name>
							<surname>Lotz</surname>
							<given-names>LAP</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2008</year>
					<article-title>Innovation in mechanical weed control in crop rows</article-title>
					<source>Weed Research</source>
					<volume>48</volume>
					<issue>3</issue>
					<fpage>215</fpage>
					<lpage>224</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1111/j.1365-3180.2008.00629.x">https://doi.org/10.1111/j.1365-3180.2008.00629.x</ext-link>
				</element-citation>
			</ref>
			<ref id="B49">
				<mixed-citation>Wallace JM, Curran WS and Mortensen DA (2019) Cover crop effects on horseweed (<italic>Erigeron canadensis</italic>) density and size inequality at the time of herbicide exposure. Weed Science 67 (3): 327-338. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wsc.2019.3">https://doi.org/10.1017/wsc.2019.3</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Wallace</surname>
							<given-names>JM</given-names>
						</name>
						<name>
							<surname>Curran</surname>
							<given-names>WS</given-names>
						</name>
						<name>
							<surname>Mortensen</surname>
							<given-names>DA</given-names>
						</name>
					</person-group>
					<year>2019</year>
					<article-title>Cover crop effects on horseweed (Erigeron canadensis) density and size inequality at the time of herbicide exposure</article-title>
					<source>Weed Science</source>
					<volume>67</volume>
					<issue>3</issue>
					<fpage>327</fpage>
					<lpage>338</lpage>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1017/wsc.2019.3">https://doi.org/10.1017/wsc.2019.3</ext-link>
				</element-citation>
			</ref>
			<ref id="B50">
				<mixed-citation>Zobiole LHS, Pereira VGC, Albrecht AJP et al (2019) Paraquat resistance of Sumatran fleabane (<italic>Conyza sumatrensis</italic>). Planta Daninha 37: e019183264. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/S0100-83582019370100018">https://doi.org/10.1590/S0100-83582019370100018</ext-link>
				</mixed-citation>
				<element-citation publication-type="journal">
					<person-group person-group-type="author">
						<name>
							<surname>Zobiole</surname>
							<given-names>LHS</given-names>
						</name>
						<name>
							<surname>Pereira</surname>
							<given-names>VGC</given-names>
						</name>
						<name>
							<surname>Albrecht</surname>
							<given-names>AJP</given-names>
						</name>
						<etal/>
					</person-group>
					<year>2019</year>
					<article-title>Paraquat resistance of Sumatran fleabane (Conyza sumatrensis)</article-title>
					<source>Planta Daninha</source>
					<issue>37</issue>
					<elocation-id>e019183264</elocation-id>
					<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.1590/S0100-83582019370100018">https://doi.org/10.1590/S0100-83582019370100018</ext-link>
				</element-citation>
			</ref>
		</ref-list>
	</back>
</article>