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Assessing Variation in US Soybean Seed Composition (Protein and Oil)

Soybean [Glycine max (L.) Merr.] seed composition and yield are a function of genetics (G), environment (E), and management (M) practices, but contribution of each factor to seed composition and yield are not well understood. The goal of this synthesis-analysis was to identify the main effects of G,...

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Autores principales: Assefa, Yared, Purcell, Larry C., Salmeron, Montse, Naeve, Seth, Casteel, Shaun N., Kovács, Péter, Archontoulis, Sotirios, Licht, Mark, Below, Fred, Kandel, Herman, Lindsey, Laura E., Gaska, John, Conley, Shawn, Shapiro, Charles, Orlowski, John M., Golden, Bobby R., Kaur, Gurpreet, Singh, Maninderpal, Thelen, Kurt, Laurenz, Randall, Davidson, Dan, Ciampitti, Ignacio A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6421286/
https://www.ncbi.nlm.nih.gov/pubmed/30915097
http://dx.doi.org/10.3389/fpls.2019.00298
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author Assefa, Yared
Purcell, Larry C.
Salmeron, Montse
Naeve, Seth
Casteel, Shaun N.
Kovács, Péter
Archontoulis, Sotirios
Licht, Mark
Below, Fred
Kandel, Herman
Lindsey, Laura E.
Gaska, John
Conley, Shawn
Shapiro, Charles
Orlowski, John M.
Golden, Bobby R.
Kaur, Gurpreet
Singh, Maninderpal
Thelen, Kurt
Laurenz, Randall
Davidson, Dan
Ciampitti, Ignacio A.
author_facet Assefa, Yared
Purcell, Larry C.
Salmeron, Montse
Naeve, Seth
Casteel, Shaun N.
Kovács, Péter
Archontoulis, Sotirios
Licht, Mark
Below, Fred
Kandel, Herman
Lindsey, Laura E.
Gaska, John
Conley, Shawn
Shapiro, Charles
Orlowski, John M.
Golden, Bobby R.
Kaur, Gurpreet
Singh, Maninderpal
Thelen, Kurt
Laurenz, Randall
Davidson, Dan
Ciampitti, Ignacio A.
author_sort Assefa, Yared
collection PubMed
description Soybean [Glycine max (L.) Merr.] seed composition and yield are a function of genetics (G), environment (E), and management (M) practices, but contribution of each factor to seed composition and yield are not well understood. The goal of this synthesis-analysis was to identify the main effects of G, E, and M factors on seed composition (protein and oil concentration) and yield. The entire dataset (13,574 data points) consisted of 21 studies conducted across the United States (US) between 2002 and 2017 with varying treatments and all reporting seed yield and composition. Environment (E), defined as site-year, was the dominant factor accounting for more than 70% of the variation for both seed composition and yield. Of the crop management factors: (i) delayed planting date decreased oil concentration by 0.007 to 0.06% per delayed week (R(2)∼0.70) and a 0.01 to 0.04 Mg ha(-1) decline in seed yield per week, mainly in northern latitudes (40–45 N); (ii) crop rotation (corn-soybean) resulted in an overall positive impact for both seed composition and yield (1.60 Mg ha(-1) positive yield difference relative to continuous soybean); and (iii) other management practices such as no-till, seed treatment, foliar nutrient application, and fungicide showed mixed results. Fertilizer N application in lower quantities (10–50 kg N ha(-1)) increased both oil and protein concentration, but seed yield was improved with rates above 100 kg N ha(-1). At southern latitudes (30–35 N), trends of reduction in oil and increases in protein concentrations with later maturity groups (MG, from 3 to 7) was found. Continuing coordinated research is critical to advance our understanding of G × E × M interactions.
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spelling pubmed-64212862019-03-26 Assessing Variation in US Soybean Seed Composition (Protein and Oil) Assefa, Yared Purcell, Larry C. Salmeron, Montse Naeve, Seth Casteel, Shaun N. Kovács, Péter Archontoulis, Sotirios Licht, Mark Below, Fred Kandel, Herman Lindsey, Laura E. Gaska, John Conley, Shawn Shapiro, Charles Orlowski, John M. Golden, Bobby R. Kaur, Gurpreet Singh, Maninderpal Thelen, Kurt Laurenz, Randall Davidson, Dan Ciampitti, Ignacio A. Front Plant Sci Plant Science Soybean [Glycine max (L.) Merr.] seed composition and yield are a function of genetics (G), environment (E), and management (M) practices, but contribution of each factor to seed composition and yield are not well understood. The goal of this synthesis-analysis was to identify the main effects of G, E, and M factors on seed composition (protein and oil concentration) and yield. The entire dataset (13,574 data points) consisted of 21 studies conducted across the United States (US) between 2002 and 2017 with varying treatments and all reporting seed yield and composition. Environment (E), defined as site-year, was the dominant factor accounting for more than 70% of the variation for both seed composition and yield. Of the crop management factors: (i) delayed planting date decreased oil concentration by 0.007 to 0.06% per delayed week (R(2)∼0.70) and a 0.01 to 0.04 Mg ha(-1) decline in seed yield per week, mainly in northern latitudes (40–45 N); (ii) crop rotation (corn-soybean) resulted in an overall positive impact for both seed composition and yield (1.60 Mg ha(-1) positive yield difference relative to continuous soybean); and (iii) other management practices such as no-till, seed treatment, foliar nutrient application, and fungicide showed mixed results. Fertilizer N application in lower quantities (10–50 kg N ha(-1)) increased both oil and protein concentration, but seed yield was improved with rates above 100 kg N ha(-1). At southern latitudes (30–35 N), trends of reduction in oil and increases in protein concentrations with later maturity groups (MG, from 3 to 7) was found. Continuing coordinated research is critical to advance our understanding of G × E × M interactions. Frontiers Media S.A. 2019-03-11 /pmc/articles/PMC6421286/ /pubmed/30915097 http://dx.doi.org/10.3389/fpls.2019.00298 Text en Copyright © 2019 Assefa, Purcell, Salmeron, Naeve, Casteel, Kovács, Archontoulis, Licht, Below, Kandel, Lindsey, Gaska, Conley, Shapiro, Orlowski, Golden, Kaur, Singh, Thelen, Laurenz, Davidson and Ciampitti. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Assefa, Yared
Purcell, Larry C.
Salmeron, Montse
Naeve, Seth
Casteel, Shaun N.
Kovács, Péter
Archontoulis, Sotirios
Licht, Mark
Below, Fred
Kandel, Herman
Lindsey, Laura E.
Gaska, John
Conley, Shawn
Shapiro, Charles
Orlowski, John M.
Golden, Bobby R.
Kaur, Gurpreet
Singh, Maninderpal
Thelen, Kurt
Laurenz, Randall
Davidson, Dan
Ciampitti, Ignacio A.
Assessing Variation in US Soybean Seed Composition (Protein and Oil)
title Assessing Variation in US Soybean Seed Composition (Protein and Oil)
title_full Assessing Variation in US Soybean Seed Composition (Protein and Oil)
title_fullStr Assessing Variation in US Soybean Seed Composition (Protein and Oil)
title_full_unstemmed Assessing Variation in US Soybean Seed Composition (Protein and Oil)
title_short Assessing Variation in US Soybean Seed Composition (Protein and Oil)
title_sort assessing variation in us soybean seed composition (protein and oil)
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6421286/
https://www.ncbi.nlm.nih.gov/pubmed/30915097
http://dx.doi.org/10.3389/fpls.2019.00298
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