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Spatial Characterization of Soybean Yield and Quality (Amino Acids, Oil, and Protein) for United States
Continued economic relevancy of soybean is a function of seed quality. The objectives of this study were to: (i) assess the spatial association between soybean yield and quality across major US soybean producing regions, (ii) investigate the relationship between protein, oil, and yield with amino ac...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6168600/ https://www.ncbi.nlm.nih.gov/pubmed/30279447 http://dx.doi.org/10.1038/s41598-018-32895-0 |
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author | Assefa, Y. Bajjalieh, N. Archontoulis, S. Casteel, S. Davidson, D. Kovács, P. Naeve, S. Ciampitti, Ignacio A. |
author_facet | Assefa, Y. Bajjalieh, N. Archontoulis, S. Casteel, S. Davidson, D. Kovács, P. Naeve, S. Ciampitti, Ignacio A. |
author_sort | Assefa, Y. |
collection | PubMed |
description | Continued economic relevancy of soybean is a function of seed quality. The objectives of this study were to: (i) assess the spatial association between soybean yield and quality across major US soybean producing regions, (ii) investigate the relationship between protein, oil, and yield with amino acids (AAs) composition, and (iii) study interrelationship among essential AAs in soybean seed. Data from soybean testing programs conducted across 14 US states from 2012 to 2016 period (n = 35,101 data points) were analyzed. Results indicate that for each Mg ha(−1) yield increase, protein yield increased by 0.35 Mg protein ha(−1) and oil yield improved by 0.20 Mg oil ha(−1). Essential AA concentrations exhibit a spatial autocorrelation and there was a negative relationship between concentration of AA, protein, and oil, with latitude. There was a positive interrelationship with different degree of strength among all AAs, and the correlation between Isoleucine and Valine was the strongest (r = 0.93) followed by the correlation among Arginine, Leucine, Lysine, and Threonine (0.71 < r < 0.88). We concluded that the variability in genotype (G) x management (M) x environment (E) across latitudes influencing yield also affected soybean quality; AA, protein, and oil content in a similar manner. |
format | Online Article Text |
id | pubmed-6168600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-61686002018-10-05 Spatial Characterization of Soybean Yield and Quality (Amino Acids, Oil, and Protein) for United States Assefa, Y. Bajjalieh, N. Archontoulis, S. Casteel, S. Davidson, D. Kovács, P. Naeve, S. Ciampitti, Ignacio A. Sci Rep Article Continued economic relevancy of soybean is a function of seed quality. The objectives of this study were to: (i) assess the spatial association between soybean yield and quality across major US soybean producing regions, (ii) investigate the relationship between protein, oil, and yield with amino acids (AAs) composition, and (iii) study interrelationship among essential AAs in soybean seed. Data from soybean testing programs conducted across 14 US states from 2012 to 2016 period (n = 35,101 data points) were analyzed. Results indicate that for each Mg ha(−1) yield increase, protein yield increased by 0.35 Mg protein ha(−1) and oil yield improved by 0.20 Mg oil ha(−1). Essential AA concentrations exhibit a spatial autocorrelation and there was a negative relationship between concentration of AA, protein, and oil, with latitude. There was a positive interrelationship with different degree of strength among all AAs, and the correlation between Isoleucine and Valine was the strongest (r = 0.93) followed by the correlation among Arginine, Leucine, Lysine, and Threonine (0.71 < r < 0.88). We concluded that the variability in genotype (G) x management (M) x environment (E) across latitudes influencing yield also affected soybean quality; AA, protein, and oil content in a similar manner. Nature Publishing Group UK 2018-10-02 /pmc/articles/PMC6168600/ /pubmed/30279447 http://dx.doi.org/10.1038/s41598-018-32895-0 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Assefa, Y. Bajjalieh, N. Archontoulis, S. Casteel, S. Davidson, D. Kovács, P. Naeve, S. Ciampitti, Ignacio A. Spatial Characterization of Soybean Yield and Quality (Amino Acids, Oil, and Protein) for United States |
title | Spatial Characterization of Soybean Yield and Quality (Amino Acids, Oil, and Protein) for United States |
title_full | Spatial Characterization of Soybean Yield and Quality (Amino Acids, Oil, and Protein) for United States |
title_fullStr | Spatial Characterization of Soybean Yield and Quality (Amino Acids, Oil, and Protein) for United States |
title_full_unstemmed | Spatial Characterization of Soybean Yield and Quality (Amino Acids, Oil, and Protein) for United States |
title_short | Spatial Characterization of Soybean Yield and Quality (Amino Acids, Oil, and Protein) for United States |
title_sort | spatial characterization of soybean yield and quality (amino acids, oil, and protein) for united states |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6168600/ https://www.ncbi.nlm.nih.gov/pubmed/30279447 http://dx.doi.org/10.1038/s41598-018-32895-0 |
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