Perspectives on Potential Soybean Yield Losses from Weeds in North America
Weeds are one of the most significant, and controllable, threats to crop production in North America. Monetary losses because of reduced soybean yield and decreased quality because of weed interference, as well as costs of controlling weeds, have a significant economic impact on net returns to produ...
Saved in:
Published in | Weed technology Vol. 31; no. 1; pp. 148 - 154 |
---|---|
Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York, USA
Cambridge University Press
01.01.2017
Weed Science Society of America |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | Weeds are one of the most significant, and controllable, threats to crop production in North America. Monetary losses because of reduced soybean yield and decreased quality because of weed interference, as well as costs of controlling weeds, have a significant economic impact on net returns to producers. Previous Weed Science Society of America (WSSA) Weed Loss Committee reports, as chaired by Chandler (1984) and Bridges (1992), provided snapshots of the comparative crop yield losses because of weeds across geographic regions and crops within these regions after the implementation of weed control tactics. This manuscript is a second report from the current WSSA Weed Loss Committee on crop yield losses because of weeds, specifically in soybean. Yield loss estimates were determined from comparative observations of soybean yields between the weedy control and plots with greater than 95% weed control in studies conducted from 2007 to 2013. Researchers from each US state and Canadian province provided at least three and up to ten individual comparisons for each year, which were then averaged within a year, and then averaged over the seven years. These percent yield loss values were used to determine total soybean yield loss in t ha−1 and bu acre−1 based on average soybean yields for each state or province as well as current commodity prices for a given year as summarized by USDA-NASS (2014) and Statistics Canada (2015). Averaged across 2007 to 2013, weed interference in soybean caused a 52.1% yield loss. Based on 2012 census data in the US and Canada soybean was grown on 30,798,512 and 1,679,203 hectares with production of 80 million and 5 million tonnes, respectively. Using an average soybean price across 2007 to 2013 of US $389.81 t−1 ($10.61 bu−1), farm gate value would be reduced by US $16.2 billion in the US and $1.0 billion in Canada annually if no weed management tactics were employed. Nomenclature: Soybean, Glycine max (L.) Merr Las malezas son una de las amenazas más significativas y controlables para la producción agrícola en Norteamérica. Las pérdidas monetarias producto de la reducción en el rendimiento de la soja y la disminución en la calidad debido a la interferencia de malezas y al costo de controlar a estas, tiene un impacto económico significativo en la rentabilidad de los productores. Reportes previos del comité de pérdidas por malezas de la Sociedad Americana de la Ciencia de Malezas (WSSA), bajo la dirección de Chandler (1984) y Bridges (1992) brindaron imágenes temporales de las pérdidas de rendimiento comparativas causadas por malezas en diferentes regiones geográficas y cultivos dentro de estas regiones después de la implementación de tácticas de control de malezas. Este manuscrito es un segundo reporte del comité actual de pérdidas por malezas de WSSA sobre pérdidas en rendimiento causadas por malezas, específicamente en soja. Los estimados de pérdida en rendimiento fueron determinados a partir de observaciones comparativas de rendimientos de soja entre testigos con malezas y parcelas con más de 95% de control en estudios realizados desde 2007 a 2013. Investigadores de cada estado de Estados Unidos y de cada provincia de Canada brindaron al menos tres y hasta 10 comparaciones individuales para cada año, las cuales fueron promediadas dentro de cada año, y luego promediadas para los siete años. Estos valores de porcentaje de rendimiento fueron usados para determinar la pérdida total en soja en t ha−1 y bu acre−1 con base en el promedio de rendimiento de soja para cada estado o provincia y el precio de grano para cada año como lo resumen USDA-NASS (2014) y Statistics Canada (2015). Promediando los años de 2007 a 2013, la interferencia de malezas en soja causó un 52,1% de pérdidas de rendimiento. Con base en los datos del censo de 2012 en Estados Unidos y Canada, se produjo soja en 30,798,512 y 1,679,203 hectáreas para una producción de 80 millones y 5 millones de toneladas, respectivamente. Usando una precio de la soja promedio para 2007 a 2013 de US $389.81 t−1 ($10,61 bu−1), el valor en puerta de finca se hubiera reducido en US $16.6 miles de millones en los Estados Unidos y $1.0 mil millones en Canada anualmente si no se hubieran empleado tácticas de manejo de malezas. |
---|---|
AbstractList | Weeds are one of the most significant, and controllable, threats to crop production in North America. Monetary losses because of reduced soybean yield and decreased quality because of weed interference, as well as costs of controlling weeds, have a significant economic impact on net returns to producers. Previous Weed Science Society of America (WSSA) Weed Loss Committee reports, as chaired by Chandler (1984) and Bridges (1992), provided snapshots of the comparative crop yield losses because of weeds across geographic regions and crops within these regions after the implementation of weed control tactics. This manuscript is a second report from the current WSSA Weed Loss Committee on crop yield losses because of weeds, specifically in soybean. Yield loss estimates were determined from comparative observations of soybean yields between the weedy control and plots with greater than 95% weed control in studies conducted from 2007 to 2013. Researchers from each US state and Canadian province provided at least three and up to ten individual comparisons for each year, which were then averaged within a year, and then averaged over the seven years. These percent yield loss values were used to determine total soybean yield loss in t ha−1 and bu acre−1 based on average soybean yields for each state or province as well as current commodity prices for a given year as summarized by USDA-NASS (2014) and Statistics Canada (2015). Averaged across 2007 to 2013, weed interference in soybean caused a 52.1% yield loss. Based on 2012 census data in the US and Canada soybean was grown on 30,798,512 and 1,679,203 hectares with production of 80 million and 5 million tonnes, respectively. Using an average soybean price across 2007 to 2013 of US $389.81 t−1 ($10.61 bu−1), farm gate value would be reduced by US $16.2 billion in the US and $1.0 billion in Canada annually if no weed management tactics were employed.
Las malezas son una de las amenazas más significativas y controlables para la producción agrícola en Norteamérica. Las pérdidas monetarias producto de la reducción en el rendimiento de la soja y la disminución en la calidad debido a la interferencia de malezas y al costo de controlar a estas, tiene un impacto económico significativo en la rentabilidad de los productores. Reportes previos del comité de pérdidas por malezas de la Sociedad Americana de la Ciencia de Malezas (WSSA), bajo la dirección de Chandler (1984) y Bridges (1992) brindaron imágenes temporales de las pérdidas de rendimiento comparativas causadas por malezas en diferentes regiones geográficas y cultivos dentro de estas regiones después de la implementación de tácticas de control de malezas. Este manuscrito es un segundo reporte del comité actual de pérdidas por malezas de WSSA sobre pérdidas en rendimiento causadas por malezas, específicamente en soja. Los estimados de pérdida en rendimiento fueron determinados a partir de observaciones comparativas de rendimientos de soja entre testigos con malezas y parcelas con más de 95% de control en estudios realizados desde 2007 a 2013. Investigadores de cada estado de Estados Unidos y de cada provincia de Canada brindaron al menos tres y hasta 10 comparaciones individuales para cada año, las cuales fueron promediadas dentro de cada año, y luego promediadas para los siete años. Estos valores de porcentaje de rendimiento fueron usados para determinar la pérdida total en soja en t ha−1 y bu acre−1 con base en el promedio de rendimiento de soja para cada estado o provincia y el precio de grano para cada año como lo resumen USDA-NASS (2014) y Statistics Canada (2015). Promediando los años de 2007 a 2013, la interferencia de malezas en soja causó un 52,1% de pérdidas de rendimiento. Con base en los datos del censo de 2012 en Estados Unidos y Canada, se produjo soja en 30,798,512 y 1,679,203 hectáreas para una producción de 80 millones y 5 millones de toneladas, respectivamente. Usando una precio de la soja promedio para 2007 a 2013 de US $389.81 t−1 ($10,61 bu−1), el valor en puerta de finca se hubiera reducido en US $16.6 miles de millones en los Estados Unidos y $1.0 mil millones en Canada anualmente si no se hubieran empleado tácticas de manejo de malezas. Weeds are one of the most significant, and controllable, threats to crop production in North America. Monetary losses because of reduced soybean yield and decreased quality because of weed interference, as well as costs of controlling weeds, have a significant economic impact on net returns to producers. Previous Weed Science Society of America (WSSA) Weed Loss Committee reports, as chaired by Chandler (1984) and Bridges (1992), provided snapshots of the comparative crop yield losses because of weeds across geographic regions and crops within these regions after the implementation of weed control tactics. This manuscript is a second report from the current WSSA Weed Loss Committee on crop yield losses because of weeds, specifically in soybean. Yield loss estimates were determined from comparative observations of soybean yields between the weedy control and plots with greater than 95% weed control in studies conducted from 2007 to 2013. Researchers from each US state and Canadian province provided at least three and up to ten individual comparisons for each year, which were then averaged within a year, and then averaged over the seven years. These percent yield loss values were used to determine total soybean yield loss in t ha −1 and bu acre −1 based on average soybean yields for each state or province as well as current commodity prices for a given year as summarized by USDA-NASS (2014) and Statistics Canada (2015). Averaged across 2007 to 2013, weed interference in soybean caused a 52.1% yield loss. Based on 2012 census data in the US and Canada soybean was grown on 30,798,512 and 1,679,203 hectares with production of 80 million and 5 million tonnes, respectively. Using an average soybean price across 2007 to 2013 of US $389.81 t −1 ($10.61 bu −1 ), farm gate value would be reduced by US $16.2 billion in the US and $1.0 billion in Canada annually if no weed management tactics were employed. Las malezas son una de las amenazas más significativas y controlables para la producción agrícola en Norteamérica. Las pérdidas monetarias producto de la reducción en el rendimiento de la soja y la disminución en la calidad debido a la interferencia de malezas y al costo de controlar a estas, tiene un impacto económico significativo en la rentabilidad de los productores. Reportes previos del comité de pérdidas por malezas de la Sociedad Americana de la Ciencia de Malezas (WSSA), bajo la dirección de Chandler (1984) y Bridges (1992) brindaron imágenes temporales de las pérdidas de rendimiento comparativas causadas por malezas en diferentes regiones geográficas y cultivos dentro de estas regiones después de la implementación de tácticas de control de malezas. Este manuscrito es un segundo reporte del comité actual de pérdidas por malezas de WSSA sobre pérdidas en rendimiento causadas por malezas, específicamente en soja. Los estimados de pérdida en rendimiento fueron determinados a partir de observaciones comparativas de rendimientos de soja entre testigos con malezas y parcelas con más de 95% de control en estudios realizados desde 2007 a 2013. Investigadores de cada estado de Estados Unidos y de cada provincia de Canada brindaron al menos tres y hasta 10 comparaciones individuales para cada año, las cuales fueron promediadas dentro de cada año, y luego promediadas para los siete años. Estos valores de porcentaje de rendimiento fueron usados para determinar la pérdida total en soja en t ha −1 y bu acre −1 con base en el promedio de rendimiento de soja para cada estado o provincia y el precio de grano para cada año como lo resumen USDA-NASS (2014) y Statistics Canada (2015). Promediando los años de 2007 a 2013, la interferencia de malezas en soja causó un 52,1% de pérdidas de rendimiento. Con base en los datos del censo de 2012 en Estados Unidos y Canada, se produjo soja en 30,798,512 y 1,679,203 hectáreas para una producción de 80 millones y 5 millones de toneladas, respectivamente. Usando una precio de la soja promedio para 2007 a 2013 de US $389.81 t −1 ($10,61 bu −1 ), el valor en puerta de finca se hubiera reducido en US $16.6 miles de millones en los Estados Unidos y $1.0 mil millones en Canada anualmente si no se hubieran empleado tácticas de manejo de malezas. Weeds are one of the most significant, and controllable, threats to crop production in North America. Monetary losses because of reduced soybean yield and decreased quality because of weed interference, as well as costs of controlling weeds, have a significant economic impact on net returns to producers. Previous Weed Science Society of America (WSSA) Weed Loss Committee reports, as chaired by Chandler (1984) and Bridges (1992), provided snapshots of the comparative crop yield losses because of weeds across geographic regions and crops within these regions after the implementation of weed control tactics. This manuscript is a second report from the current WSSA Weed Loss Committee on crop yield losses because of weeds, specifically in soybean. Yield loss estimates were determined from comparative observations of soybean yields between the weedy control and plots with greater than 95% weed control in studies conducted from 2007 to 2013. Researchers from each US state and Canadian province provided at least three and up to ten individual comparisons for each year, which were then averaged within a year, and then averaged over the seven years. These percent yield loss values were used to determine total soybean yield loss in t ha−1 and bu acre−1 based on average soybean yields for each state or province as well as current commodity prices for a given year as summarized by USDA-NASS (2014) and Statistics Canada (2015). Averaged across 2007 to 2013, weed interference in soybean caused a 52.1% yield loss. Based on 2012 census data in the US and Canada soybean was grown on 30,798,512 and 1,679,203 hectares with production of 80 million and 5 million tonnes, respectively. Using an average soybean price across 2007 to 2013 of US $389.81 t−1 ($10.61 bu−1), farm gate value would be reduced by US $16.2 billion in the US and $1.0 billion in Canada annually if no weed management tactics were employed. Nomenclature: Soybean, Glycine max (L.) Merr Las malezas son una de las amenazas más significativas y controlables para la producción agrícola en Norteamérica. Las pérdidas monetarias producto de la reducción en el rendimiento de la soja y la disminución en la calidad debido a la interferencia de malezas y al costo de controlar a estas, tiene un impacto económico significativo en la rentabilidad de los productores. Reportes previos del comité de pérdidas por malezas de la Sociedad Americana de la Ciencia de Malezas (WSSA), bajo la dirección de Chandler (1984) y Bridges (1992) brindaron imágenes temporales de las pérdidas de rendimiento comparativas causadas por malezas en diferentes regiones geográficas y cultivos dentro de estas regiones después de la implementación de tácticas de control de malezas. Este manuscrito es un segundo reporte del comité actual de pérdidas por malezas de WSSA sobre pérdidas en rendimiento causadas por malezas, específicamente en soja. Los estimados de pérdida en rendimiento fueron determinados a partir de observaciones comparativas de rendimientos de soja entre testigos con malezas y parcelas con más de 95% de control en estudios realizados desde 2007 a 2013. Investigadores de cada estado de Estados Unidos y de cada provincia de Canada brindaron al menos tres y hasta 10 comparaciones individuales para cada año, las cuales fueron promediadas dentro de cada año, y luego promediadas para los siete años. Estos valores de porcentaje de rendimiento fueron usados para determinar la pérdida total en soja en t ha−1 y bu acre−1 con base en el promedio de rendimiento de soja para cada estado o provincia y el precio de grano para cada año como lo resumen USDA-NASS (2014) y Statistics Canada (2015). Promediando los años de 2007 a 2013, la interferencia de malezas en soja causó un 52,1% de pérdidas de rendimiento. Con base en los datos del censo de 2012 en Estados Unidos y Canada, se produjo soja en 30,798,512 y 1,679,203 hectáreas para una producción de 80 millones y 5 millones de toneladas, respectivamente. Usando una precio de la soja promedio para 2007 a 2013 de US $389.81 t−1 ($10,61 bu−1), el valor en puerta de finca se hubiera reducido en US $16.6 miles de millones en los Estados Unidos y $1.0 mil millones en Canada anualmente si no se hubieran empleado tácticas de manejo de malezas. Weeds are one of the most significant, and controllable, threats to crop production in North America. Monetary losses because of reduced soybean yield and decreased quality because of weed interference, as well as costs of controlling weeds, have a significant economic impact on net returns to producers. Previous Weed Science Society of America (WSSA) Weed Loss Committee reports, as chaired by Chandler (1984) and Bridges (1992), provided snapshots of the comparative crop yield losses because of weeds across geographic regions and crops within these regions after the implementation of weed control tactics. This manuscript is a second report from the current WSSA Weed Loss Committee on crop yield losses because of weeds, specifically in soybean. Yield loss estimates were determined from comparative observations of soybean yields between the weedy control and plots with greater than 95% weed control in studies conducted from 2007 to 2013. Researchers from each US state and Canadian province provided at least three and up to ten individual comparisons for each year, which were then averaged within a year, and then averaged over the seven years. These percent yield loss values were used to determine total soybean yield loss in t ha-1 and bu acre-1 based on average soybean yields for each state or province as well as current commodity prices for a given year as summarized by USDA-NASS (2014) and Statistics Canada (2015). Averaged across 2007 to 2013, weed interference in soybean caused a 52.1% yield loss. Based on 2012 census data in the US and Canada soybean was grown on 30,798,512 and 1,679,203 hectares with production of 80 million and 5 million tonnes, respectively. Using an average soybean price across 2007 to 2013 of US $389.81 t-1 ($10.61 bu-1), farm gate value would be reduced by US $16.2 billion in the US and $1.0 billion in Canada annually if no weed management tactics were employed. Weeds are one of the most significant, and controllable, threats to crop production in North America. Monetary losses because of reduced soybean yield and decreased quality because of weed interference, as well as costs of controlling weeds, have a significant economic impact on net returns to producers. Previous Weed Science Society of America (WSSA) Weed Loss Committee reports, as chaired by Chandler (1984) and Bridges (1992), provided snapshots of the comparative crop yield losses because of weeds across geographic regions and crops within these regions after the implementation of weed control tactics. This manuscript is a second report from the current WSSA Weed Loss Committee on crop yield losses because of weeds, specifically in soybean. Yield loss estimates were determined from comparative observations of soybean yields between the weedy control and plots with greater than 95% weed control in studies conducted from 2007 to 2013. Researchers from each US state and Canadian province provided at least three and up to ten individual comparisons for each year, which were then averaged within a year, and then averaged over the seven years. These percent yield loss values were used to determine total soybean yield loss in t ha⁻¹ and bu acre⁻¹ based on average soybean yields for each state or province as well as current commodity prices for a given year as summarized by USDA-NASS (2014) and Statistics Canada (2015). Averaged across 2007 to 2013, weed interference in soybean caused a 52.1% yield loss. Based on 2012 census data in the US and Canada soybean was grown on 30,798,512 and 1,679,203 hectares with production of 80 million and 5 million tonnes, respectively. Using an average soybean price across 2007 to 2013 of US $389.81 t⁻¹ ($10.61 bu⁻¹), farm gate value would be reduced by US $16.2 billion in the US and $1.0 billion in Canada annually if no weed management tactics were employed. Nomenclature: Soybean, Glycine max (L.) Merr |
Author | Sikkema, Peter H. Everman, Wesley J. Soltani, Nader VanGessel, Mark J. Dille, J. Anita Burke, Ian C. Davis, Vince M. |
Author_xml | – sequence: 1 givenname: Nader surname: Soltani fullname: Soltani, Nader organization: Adjunct Professor and Professor, Department of Plant Agriculture, University of Guelph Ridgetown Campus, Ridgetown, Ontario, Canada – sequence: 2 givenname: J. Anita surname: Dille fullname: Dille, J. Anita organization: Professor, Department of Agronomy, Kansas State University, Manhattan, KS – sequence: 3 givenname: Ian C. surname: Burke fullname: Burke, Ian C. organization: Associate Professor, Department of Crop and Soil Science, Washington State University, Pullman, WA – sequence: 4 givenname: Wesley J. surname: Everman fullname: Everman, Wesley J. organization: Assistant Professor, Department of Crop Science, North Carolina State University, Raleigh, NC – sequence: 5 givenname: Mark J. surname: VanGessel fullname: VanGessel, Mark J. organization: Professor, Department of Plant and Soil Science, University of Delaware, Georgetown, DE – sequence: 6 givenname: Vince M. surname: Davis fullname: Davis, Vince M. organization: Tech Service Representative, BASF, Madison, WI – sequence: 7 givenname: Peter H. surname: Sikkema fullname: Sikkema, Peter H. organization: Adjunct Professor and Professor, Department of Plant Agriculture, University of Guelph Ridgetown Campus, Ridgetown, Ontario, Canada |
BookMark | eNp90U1LAzEQBuAgCtbqxbsQ8CLC1kmyH9mjiJ8UFVTUU0h3ZzFlm9QkVfz3plQURDzl8uRl5p0tsm6dRUJ2GYwYsOroHeOIAytHfI0MWFFAxqsc1skAZA0ZiOppk2yFMIVkOIcBubpFH-bYRPOGgTpLb11EG43u6Z37mKC29Nlg39KxCyGJzrsZfURsAzWWXjsfX-jxDL1p9DbZ6HQfcOfrHZKHs9P7k4tsfHN-eXI8ziZCiphxjiC6VmoArPO6koIDFF09kbosgLEugVyjbKTkHUCTV4y3VdnlopKt4EIMycEqd-7d6wJDVDMTGux7bdEtguIgcxAyz3mi-7_o1C28TdMpJiWURS3KZSCsVOPTkh471Zioo3E2em16xUAty1WpXLUsVy2DD399mXsz0_7jb7y3wtMQnf-WvCzKKp3oZ6GJcemc_0V9AkiskYE |
CitedBy_id | crossref_primary_10_51694_AdvWeedSci_2022_40_seventy_five011 crossref_primary_10_1017_wet_2019_18 crossref_primary_10_1017_wsc_2023_70 crossref_primary_10_1017_wet_2019_21 crossref_primary_10_3390_agronomy12112846 crossref_primary_10_3390_agronomy11101909 crossref_primary_10_36495_2312_0614_2022_1_3_7 crossref_primary_10_1017_wet_2022_23 crossref_primary_10_3390_ijpb15020026 crossref_primary_10_1017_wet_2020_118 crossref_primary_10_3389_fpls_2021_794090 crossref_primary_10_1017_wet_2022_36 crossref_primary_10_3390_agriculture11030193 crossref_primary_10_1016_j_geoderma_2020_114626 crossref_primary_10_14295_bjs_v2i4_274 crossref_primary_10_1017_wsc_2024_47 crossref_primary_10_1017_wet_2018_62 crossref_primary_10_1017_wet_2020_12 crossref_primary_10_51694_AdvWeedSci_2022_40_amarathus002 crossref_primary_10_1016_j_scitotenv_2022_154764 crossref_primary_10_32604_phyton_2024_052241 crossref_primary_10_1017_wsc_2019_25 crossref_primary_10_5897_AJAR2024_16683 crossref_primary_10_1002_plr2_20401 crossref_primary_10_4236_ajps_2021_127074 crossref_primary_10_1007_s11104_024_06830_4 crossref_primary_10_3390_agriculture14050659 crossref_primary_10_1017_wet_2020_22 crossref_primary_10_1017_wet_2021_78 crossref_primary_10_1017_wet_2017_116 crossref_primary_10_1139_cjps_2024_0017 crossref_primary_10_30612_agrarian_v15i55_15715 crossref_primary_10_3390_agriculture13030559 crossref_primary_10_3390_agronomy13092345 crossref_primary_10_1080_09670874_2024_2347861 crossref_primary_10_1017_wsc_2020_16 crossref_primary_10_3389_fpls_2020_00789 crossref_primary_10_1002_fes3_161 crossref_primary_10_51694_AdvWeedSci_2022_40_00003 crossref_primary_10_1093_aesa_saab002 crossref_primary_10_1017_wet_2018_88 crossref_primary_10_3390_plants11233404 crossref_primary_10_3389_fagro_2024_1401865 crossref_primary_10_2139_ssrn_4002424 crossref_primary_10_1017_wet_2023_20 crossref_primary_10_1139_cjps_2020_0310 crossref_primary_10_4236_ajps_2019_1012153 crossref_primary_10_1139_cjps_2018_0049 crossref_primary_10_3390_s23063241 crossref_primary_10_1007_s40333_024_0028_9 crossref_primary_10_1017_S0960258518000181 crossref_primary_10_1051_e3sconf_202346202018 crossref_primary_10_5937_actaherb2102079P crossref_primary_10_4236_ajps_2020_119106 crossref_primary_10_1139_cjps_2019_0338 crossref_primary_10_4236_ajps_2020_1112141 crossref_primary_10_4236_ajps_2020_119107 crossref_primary_10_1017_wsc_2021_81 crossref_primary_10_1017_wet_2021_99 crossref_primary_10_3390_agronomy9100615 crossref_primary_10_1016_j_aiia_2022_11_001 crossref_primary_10_2134_agronj2018_07_0463 crossref_primary_10_1038_s41598_020_75996_5 crossref_primary_10_1016_j_scitotenv_2018_08_156 crossref_primary_10_1111_wre_12618 crossref_primary_10_3389_fpls_2023_1193666 crossref_primary_10_1139_cjps_2019_0069 crossref_primary_10_3390_plants13141996 crossref_primary_10_1016_j_atech_2023_100249 crossref_primary_10_1017_wet_2021_1 crossref_primary_10_2478_jofnem_2024_0017 crossref_primary_10_3389_fgene_2022_905824 crossref_primary_10_4236_ajps_2021_124036 crossref_primary_10_3390_agriculture13030725 crossref_primary_10_1017_wet_2022_72 crossref_primary_10_1017_wet_2022_76 crossref_primary_10_1016_j_soilbio_2024_109492 crossref_primary_10_3390_su12093872 crossref_primary_10_1007_s13165_025_00485_w crossref_primary_10_1590_1808_1657000222021 crossref_primary_10_2134_cs2018_51_0504 crossref_primary_10_3390_agriculture11050461 crossref_primary_10_3390_plants11212989 crossref_primary_10_1093_aob_mcae191 crossref_primary_10_1590_1413_7054201943000319 crossref_primary_10_1002_agj2_20615 crossref_primary_10_1017_wet_2021_39 crossref_primary_10_1017_wet_2024_24 crossref_primary_10_1017_wet_2022_88 crossref_primary_10_4236_ajps_2020_1111122 crossref_primary_10_1017_S1742170523000522 crossref_primary_10_4236_ajps_2020_113034 crossref_primary_10_51694_AdvWeedSci_2023_41_00009 crossref_primary_10_1017_wet_2024_1 crossref_primary_10_1002_agg2_20245 crossref_primary_10_1017_wet_2018_37 crossref_primary_10_1002_leg3_66 crossref_primary_10_3390_rs14071618 crossref_primary_10_1017_wsc_2023_59 crossref_primary_10_36495_2312_0614_2022_3_20_25 crossref_primary_10_1080_21645698_2024_2318876 |
Cites_doi | 10.2135/cropsci2013.10.0665 10.1017/S0021859605005708 10.1017/S0890037X00028049 10.1614/WS-D-11-00206.1 10.1017/S0043174500054473 10.4141/P00-102 10.1614/WT-D-12-00109.1 10.1017/S0043174500032392 10.1016/0167-8809(83)90038-5 |
ContentType | Journal Article |
Copyright | Weed Science Society of America, 2017 Copyright Cambridge University Press Jan/Feb 2017 |
Copyright_xml | – notice: Weed Science Society of America, 2017 – notice: Copyright Cambridge University Press Jan/Feb 2017 |
DBID | AAYXX CITATION 3V. 7X2 7XB 8FE 8FH 8FK 8G5 ABUWG AEUYN AFKRA ATCPS AZQEC BBNVY BENPR BHPHI CCPQU DWQXO GNUQQ GUQSH HCIFZ LK8 M0K M2O M7P MBDVC PADUT PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI PRINS Q9U 7S9 L.6 |
DOI | 10.1017/wet.2016.2 |
DatabaseName | CrossRef ProQuest Central (Corporate) Agricultural Science Collection ProQuest Central (purchase pre-March 2016) ProQuest SciTech Collection ProQuest Natural Science Collection ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Research Library ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland Agricultural & Environmental Science Collection ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection ProQuest One ProQuest Central Korea ProQuest Central Student ProQuest Research Library SciTech Premium Collection ProQuest Biological Science Collection Agricultural Science Database Research Library Biological Science Database Research Library (Corporate) Research Library China ProQuest Central Premium ProQuest One Academic (New) ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China ProQuest Central Basic AGRICOLA AGRICOLA - Academic |
DatabaseTitle | CrossRef Agricultural Science Database Research Library Prep ProQuest Central Student ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College Research Library (Alumni Edition) ProQuest Natural Science Collection ProQuest Central China ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Sustainability Natural Science Collection ProQuest Central Korea Agricultural & Environmental Science Collection Biological Science Collection ProQuest Research Library Research Library China ProQuest Central (New) ProQuest Biological Science Collection ProQuest Central Basic ProQuest One Academic Eastern Edition Agricultural Science Collection Biological Science Database ProQuest SciTech Collection ProQuest One Academic UKI Edition ProQuest One Academic ProQuest One Academic (New) ProQuest Central (Alumni) AGRICOLA AGRICOLA - Academic |
DatabaseTitleList | CrossRef Agricultural Science Database AGRICOLA |
Database_xml | – sequence: 1 dbid: BENPR name: ProQuest Central url: https://www.proquest.com/central sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Agriculture Statistics |
EISSN | 1550-2740 |
EndPage | 154 |
ExternalDocumentID | 4321144459 10_1017_wet_2016_2 26567550 |
Genre | Feature |
GeographicLocations | United States--US North America Canada United States |
GeographicLocations_xml | – name: United States--US – name: North America – name: Canada – name: United States |
GroupedDBID | -JH 08R 09C 09E 0R~ 123 29R 2AX 2~F 3V. 7X2 8FE 8FH 8G5 AAAZR AABES AABWE AACFU AAEED AAGFV AAHKG AAKTX AAPSS AASVR AAUKB AAXTN ABBHK ABBZL ABKMT ABPLY ABQTM ABROB ABTLG ABUWG ABZCX ACCHT ACGFS ACPRK ACQFJ ACUIJ ACUYZ ACWGA ACYZP ADBBV ADDNB ADGEJ ADHSS ADKIL ADOCW ADOVH ADOVT ADOYD ADULT ADVJH ADZLD AEBAK AEBPU AEDJY AEEJZ AENCP AENEX AEPYG AESBF AEUPB AEYYC AFAZZ AFFIJ AFKQG AFKRA AFLVW AFNWH AFRAH AFRIC AGABE AGJUD AGOOT AGUYK AHQXX AICQM AIGNW AIHIV AIOIP AIRJO AJCYY AJPFC AKPMI AKZCZ ALMA_UNASSIGNED_HOLDINGS ANHSF AQJOH ARZZG AS~ ATCPS ATUCA AUXHV AYIQA AZQEC BBLKV BBNVY BCGOX BENPR BESQT BHPHI BJBOZ BLZWO BMAJL BPHCQ CAG CBGCD CBIIA CCPQU CCUQV CFAFE CFBFF CGQII CJCSC COF CS3 CWIXF DATOO DC7 DFEDG DOHLZ DOOOF DWIUU DWQXO EBS EGQIC EJD EQZMY GNUQQ GTFYD GUQSH HCIFZ HGD HTVGU HZ~ IH6 IL9 IOEEP IOO IS6 JAAYA JBMMH JBS JENOY JHFFW JHPGK JKQEH JLS JLXEF JPM JQKCU JSODD JST KAFGG KCGVB KFECR LHUNA LK8 LW7 M0K M2O M7P NEJ NHB NIKVX NVHAQ NZEOI O9- OVD P2P PADUT PQ0 PQQKQ PROAC Q5J RBO RCA ROL S6U SA0 SAAAG SJN T9M TEORI TN5 UT1 WFFJZ WH7 Y6R ZDLDU ZJOSE ZMEZD ZYDXJ ~02 ~EF ~KM AAHBH ABGDZ ABJNI ABVKB ABVZP ABXAU ABXHF ABXSQ ACDLN ACHIC AEHGV AEUYN AFZFC AHRGI AHXOZ AKMAY AQVQM CCQAD CHEAL H13 IPSME PHGZM PHGZT AAYXX ACAJB CITATION ECGQY IPYYG YR5 7XB 8FK MBDVC PKEHL PQEST PQGLB PQUKI PRINS Q9U 7S9 L.6 |
ID | FETCH-LOGICAL-b383t-22e03fd8a00e9497832005f9b8a65011f22e4ae8c882f00c4712d76f4378d3233 |
IEDL.DBID | BENPR |
ISSN | 0890-037X 1550-2740 |
IngestDate | Thu Jul 10 19:21:31 EDT 2025 Fri Jul 25 10:46:04 EDT 2025 Thu Jul 03 08:12:34 EDT 2025 Thu Apr 24 22:55:01 EDT 2025 Thu Jul 03 22:31:37 EDT 2025 Fri Nov 24 06:23:36 EST 2023 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 1 |
Language | English |
License | https://www.cambridge.org/core/terms |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-b383t-22e03fd8a00e9497832005f9b8a65011f22e4ae8c882f00c4712d76f4378d3233 |
Notes | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 |
OpenAccessLink | https://www.cambridge.org/core/services/aop-cambridge-core/content/view/839B31C6771865071E6956BAEFC0F076/S0890037X16000026a.pdf/div-class-title-perspectives-on-potential-soybean-yield-losses-from-weeds-in-north-america-div.pdf |
PQID | 1880659363 |
PQPubID | 506325 |
PageCount | 7 |
ParticipantIDs | proquest_miscellaneous_2084038442 proquest_journals_1880659363 crossref_citationtrail_10_1017_wet_2016_2 crossref_primary_10_1017_wet_2016_2 jstor_primary_26567550 bioone_primary_10_1017_wet_2016_2 |
PublicationCentury | 2000 |
PublicationDate | 2017-01-01 |
PublicationDateYYYYMMDD | 2017-01-01 |
PublicationDate_xml | – month: 01 year: 2017 text: 2017-01-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | New York, USA |
PublicationPlace_xml | – name: New York, USA – name: Lawrence |
PublicationTitle | Weed technology |
PublicationTitleAbbrev | Weed Technol |
PublicationYear | 2017 |
Publisher | Cambridge University Press Weed Science Society of America |
Publisher_xml | – name: Cambridge University Press – name: Weed Science Society of America |
References | Burnside (S0890037X16000026_ref4) 1969; 17 Vencill (S0890037X16000026_ref17) 2012 Cramer (S0890037X16000026_ref6) 1967; vol. 20 Oerke (S0890037X16000026_ref11) 1994 S0890037X16000026_ref1 Bridges (S0890037X16000026_ref2) 1992 Rincker (S0890037X16000026_ref12) 2014; 54 Swanton (S0890037X16000026_ref15) 1993; 7 S0890037X16000026_ref16 Werner (S0890037X16000026_ref20) 2014 S0890037X16000026_ref9 Burnside (S0890037X16000026_ref3) 1973; 21 S0890037X16000026_ref7 S0890037X16000026_ref18 S0890037X16000026_ref8 Smith (S0890037X16000026_ref13) 1984 Chandler (S0890037X16000026_ref5) 1984 S0890037X16000026_ref14 Walker (S0890037X16000026_ref19) 1987; 8 S0890037X16000026_ref10 |
References_xml | – ident: S0890037X16000026_ref16 – start-page: 808 year: 1994 ident: S0890037X16000026_ref11 article-title: Crop Production and Crop Protection: Estimated Losses in Major Food and Cash Crops publication-title: Amsterdam: Elsevier Science B.V – volume-title: Crop losses due to weeds in Canada and the United States year: 1984 ident: S0890037X16000026_ref5 – volume: 54 start-page: 1419 year: 2014 ident: S0890037X16000026_ref12 article-title: Genetic improvements of U.S. soybean in maturity groups II, III, and IV publication-title: Crop Sci doi: 10.2135/cropsci2013.10.0665 – start-page: 403 volume-title: Crop losses due to weeds in Canada and the United States year: 1992 ident: S0890037X16000026_ref2 – ident: S0890037X16000026_ref14 – ident: S0890037X16000026_ref10 doi: 10.1017/S0021859605005708 – volume: 7 start-page: 537 year: 1993 ident: S0890037X16000026_ref15 article-title: Crop losses due to weeds in Canada publication-title: Weed Technol doi: 10.1017/S0890037X00028049 – start-page: 2 year: 2012 ident: S0890037X16000026_ref17 article-title: Herbicide resistance: toward an understanding of resistance development and the impact of herbicide-resistant crops publication-title: Weed Sci (Special Issue) doi: 10.1614/WS-D-11-00206.1 – volume: 17 start-page: 438 year: 1969 ident: S0890037X16000026_ref4 article-title: Effect of weeds on harvesting efficiency in corn, sorghum, and soybeans publication-title: Weed Sci doi: 10.1017/S0043174500054473 – volume: 8 start-page: 665 year: 1987 ident: S0890037X16000026_ref19 article-title: Losses in yield due to pests in tropical crops and their value in policy decision-making publication-title: Insect Sci Appl – ident: S0890037X16000026_ref8 doi: 10.4141/P00-102 – volume: vol. 20 start-page: 524 volume-title: Plant Protection and World Crop Production year: 1967 ident: S0890037X16000026_ref6 – start-page: 213 volume-title: Plant Diseases: Infection, Damage and Loss year: 1984 ident: S0890037X16000026_ref13 – start-page: 6 year: 2014 ident: S0890037X16000026_ref20 article-title: Management of eastern black nightshade in agronomic crops: an integrated approach publication-title: Pennsylvania: Penn State Extension. (Agronomy Facts 58) – ident: S0890037X16000026_ref9 doi: 10.1614/WT-D-12-00109.1 – volume: 21 start-page: 520 year: 1973 ident: S0890037X16000026_ref3 article-title: Influence of weeds on soybean harvesting losses with a combine publication-title: Weed Sci doi: 10.1017/S0043174500032392 – ident: S0890037X16000026_ref1 – ident: S0890037X16000026_ref18 doi: 10.1016/0167-8809(83)90038-5 – ident: S0890037X16000026_ref7 |
SSID | ssj0016220 |
Score | 2.443358 |
SecondaryResourceType | review_article |
Snippet | Weeds are one of the most significant, and controllable, threats to crop production in North America. Monetary losses because of reduced soybean yield and... |
SourceID | proquest crossref jstor bioone |
SourceType | Aggregation Database Enrichment Source Index Database Publisher |
StartPage | 148 |
SubjectTerms | Agricultural production Best management practices (BMP) Canada census data commodity prices costs and returns crop losses Crop production Crop yield crops Economic impact economic loss EDUCATION/EXTENSION farms Glycine max Herbicides Soybeans statistics United States USA Weed control weed management Weeds |
Title | Perspectives on Potential Soybean Yield Losses from Weeds in North America |
URI | http://www.bioone.org/doi/abs/10.1017/wet.2016.2 https://www.jstor.org/stable/26567550 https://www.proquest.com/docview/1880659363 https://www.proquest.com/docview/2084038442 |
Volume | 31 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1LS8QwEA4-LnoQX4vri4hePETbJLbZk6i4iKgs6uJ6KkmbyIK0q62I_96ZNruLKF566TS0M-m8vskMIQfK8Ywb4ZhSUcakk4ppKSzjNhSZNDFc8HDy7V101ZfXg5OBT7iVvqxyrBNrRZ0VKebIj7FvWITj58Tp6I3h1ChEV_0IjVkyDypYQfA1f35517uf4AgRbxozqk7AAhEPxg1Kw_j402IpZRgdcTA-ZlgUuf1hm5ryxF8qurY73WWy5B1GetZIeIXM2HyVLJ69vPumGXaNXPemJyZLWuS0V1RYBASPPRRfxuqcPmOhGr0pEOKleKSEPoHZKukwpzVyQz1ys0763cvHiyvmZyQwA7FlxTi3gXCZ0kFgOzgtTmCayHWM0uB7haEDAqmtSsGTdkGQgi3iWRw5KWKVCS5Ei8zl8OkbhCoTCdHRoU4t4sRGOck1CMsok0LgKNpkr2FTMmoaYSRNhVicACsTZGXC2-RwzMEk9U3GcdbF65-0-xPa_1Zs1YKYkHDwQGOIq9pkeyyZxP93ZTLdJfC2k9vwxyAMonNbfJSwLgS1QknJN_9fYosscDTidcJlm8xV7x92B1yQyuz6ffYNhlHYrw |
linkProvider | ProQuest |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtR1NTxQx9IUsB_RgVCSugtYABw-VmbbOdA_EoEIWWDYbhbieajvTEhIyg8wSwp_yN_refCwxGG5c5jKvzczr6_v-ANjQQeTCycC1TnKugtLcKum58LHMlUvxQcXJR-NkeKIOph-nC_Cnq4WhtMqOJ9aMOi8z8pFvUd-whMbPyU8XvzlNjaLoajdCoyGLQ39zjSZbtb3_Fc93U4i93eMvQ95OFeAOrbEZF8JHMuTaRpEf0Hw1SY6VMHDaorYSxwEBlPU6Q90zRFGG3FvkaRKUTHUuBTlAkeUvKommTA8WP--OJ9_mcYtENI0g9SDikUynXUPUON269pS6GScfBAo7d1aWhf9HFjbpkHdEQi3n9p7Ck1ZBZTsNRT2DBV88h8c7p5dtkw6_DAeT2wrNipUFm5QzSjrCZd_LG-dtwX5SYhwblRRSZlTCwn6gmKzYWcHqSBFrI0Uv4ORBsLcCvQJ__SUw7RIpBza2mae4tNNBCYvE4bTL0FCVfXjXoMlcNI03TJORlhpEpSFUGtGH9x0GTdY2NafZGuf_hV2fw96340p9EHMQgRpvinZcH1a7kzHtPa_MLVXi185f4w2lsIstfHlV4b5oREutlHh1_xZvYWl4fDQyo_3x4Wt4JEiBqJ09q9CbXV75NVR_Zu5NS3MMfj00mf8FuHETGQ |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtR3LbtQwcFRtJQQHxKtiSwEjyoGD2cR2E--hQoV21edqBVRsT66d2GilKinNVlV_rV_HTB5bIVBvveSSsZWMx_N-AKzrIHLhZOBaJzlXQWlulfRc-FjmyqX4oOLko3Gye6z2pxvTJbjpamEorbLjiTWjzsuMfOQD6huW0Pg5OQhtWsRke_T5_DenCVIUae3GaTQkcuCvr9B8qzb3tvGsPwgx2vnxdZe3Ewa4Q8tszoXwkQy5tlHkhzRrTZKTJQydtqi5xHFAAGW9zlAPDVGUIScXeZoEJVOdS0HOUGT_yylaRVEPlr_sjCffFjGMRDRNIfUw4pFMp11z1DgdXHlK44yTTwIFn5uVZeH_kotNauQ_4qGWeaMn8LhVVtlWQ11PYckXz-DR1q-LtmGHfw77k9tqzYqVBZuUc0pAwmXfy2vnbcFOKEmOHZYUXmZUzsJ-osis2KxgddSItVGjF3B8L9hbgV6Bv_4SmHaJlEMb28xTjNrpoIRFQnHaZWi0yj68a9BkzpsmHKbJTksNotIQKo3ow8cOgyZrG5zTnI2z_8K-X8DeteNKfRALEIHab4o2XR_WupMx7Z2vzC2F4tcuXuNtpRCMLXx5WeG-aFBLrZRYvXuLt_AAydsc7o0PXsFDQbpE7fdZg9784tK_Rk1o7t60JMfg9L6p_A-XFxdO |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Perspectives+on+Potential+Soybean+Yield+Losses+from+Weeds+in+North+America&rft.jtitle=Weed+technology&rft.au=Soltani%2C+Nader&rft.au=Dille%2C+J.+Anita&rft.au=Burke%2C+Ian+C.&rft.au=Everman%2C+Wesley+J.&rft.date=2017-01-01&rft.pub=Weed+Science+Society+of+America&rft.issn=0890-037X&rft.eissn=1550-2740&rft.volume=31&rft.issue=1&rft.spage=148&rft.epage=154&rft_id=info:doi/10.1017%2Fwet.2016.2&rft.externalDocID=26567550 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0890-037X&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0890-037X&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0890-037X&client=summon |