Regional and temporal variation in soybean seed protein and oil across the United States

Autores
Rotundo, José Luis; Miller Garvin, Jill E.; Naeve, Seth L.
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Soybean [Glycine max (L.) Merr.] seed composition data are becoming critical for efficient marketing and trade of soybean and soybean products. Previous reports of variation in seed protein and oil across regions within the United States focused on variation associated with state and regional boundaries. We conducted an analysis of an 8-yr survey of seed protein and oil across US states and regions, including a geostatistical approach to better characterize the continuous variation in seed composition on a regional scale. The objectives were (i) to determine the relative importance of temporal and regional variation, (ii) to explore the extent of spatial variability across years, (iii) to evaluate the temporal stability across regions, and (iv) to explore the negative correlation between protein and oil across regions and years. Our results confirmed previous findings showing higher protein concentration in southern states and regions. However, most of the observed variation occurred at scales below these political boundaries. The geostatistical approach indicated a moderate level of spatial dependency for protein and protein plus oil but low spatial autocorrelation for oil. In all cases, year-to-year variation in weather conditions modulated the expression of regional spatial patterns in composition. To fully predict seed composition at a regional scale would require additional information associated with weather and agronomic management.
Fil: Rotundo, José Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
Fil: Miller Garvin, Jill E.. University of Minnesota; Estados Unidos
Fil: Naeve, Seth L.. University of Minnesota; Estados Unidos
Materia
Soybean
Seed Composition
Soybean Protein
Spatial Variation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/52598
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Regional and temporal variation in soybean seed protein and oil across the United StatesRotundo, José LuisMiller Garvin, Jill E.Naeve, Seth L.SoybeanSeed CompositionSoybean ProteinSpatial Variationhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Soybean [Glycine max (L.) Merr.] seed composition data are becoming critical for efficient marketing and trade of soybean and soybean products. Previous reports of variation in seed protein and oil across regions within the United States focused on variation associated with state and regional boundaries. We conducted an analysis of an 8-yr survey of seed protein and oil across US states and regions, including a geostatistical approach to better characterize the continuous variation in seed composition on a regional scale. The objectives were (i) to determine the relative importance of temporal and regional variation, (ii) to explore the extent of spatial variability across years, (iii) to evaluate the temporal stability across regions, and (iv) to explore the negative correlation between protein and oil across regions and years. Our results confirmed previous findings showing higher protein concentration in southern states and regions. However, most of the observed variation occurred at scales below these political boundaries. The geostatistical approach indicated a moderate level of spatial dependency for protein and protein plus oil but low spatial autocorrelation for oil. In all cases, year-to-year variation in weather conditions modulated the expression of regional spatial patterns in composition. To fully predict seed composition at a regional scale would require additional information associated with weather and agronomic management.Fil: Rotundo, José Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; ArgentinaFil: Miller Garvin, Jill E.. University of Minnesota; Estados UnidosFil: Naeve, Seth L.. University of Minnesota; Estados UnidosCrop Science Society of America2016-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/52598Rotundo, José Luis; Miller Garvin, Jill E.; Naeve, Seth L.; Regional and temporal variation in soybean seed protein and oil across the United States; Crop Science Society of America; Crop Science; 56; 2; 3-2016; 797-8080011-183XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.2135/cropsci2015.06.0394info:eu-repo/semantics/altIdentifier/url/https://dl.sciencesocieties.org/publications/cs/abstracts/56/2/797info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:41:29Zoai:ri.conicet.gov.ar:11336/52598instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:41:29.711CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Regional and temporal variation in soybean seed protein and oil across the United States
title Regional and temporal variation in soybean seed protein and oil across the United States
spellingShingle Regional and temporal variation in soybean seed protein and oil across the United States
Rotundo, José Luis
Soybean
Seed Composition
Soybean Protein
Spatial Variation
title_short Regional and temporal variation in soybean seed protein and oil across the United States
title_full Regional and temporal variation in soybean seed protein and oil across the United States
title_fullStr Regional and temporal variation in soybean seed protein and oil across the United States
title_full_unstemmed Regional and temporal variation in soybean seed protein and oil across the United States
title_sort Regional and temporal variation in soybean seed protein and oil across the United States
dc.creator.none.fl_str_mv Rotundo, José Luis
Miller Garvin, Jill E.
Naeve, Seth L.
author Rotundo, José Luis
author_facet Rotundo, José Luis
Miller Garvin, Jill E.
Naeve, Seth L.
author_role author
author2 Miller Garvin, Jill E.
Naeve, Seth L.
author2_role author
author
dc.subject.none.fl_str_mv Soybean
Seed Composition
Soybean Protein
Spatial Variation
topic Soybean
Seed Composition
Soybean Protein
Spatial Variation
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Soybean [Glycine max (L.) Merr.] seed composition data are becoming critical for efficient marketing and trade of soybean and soybean products. Previous reports of variation in seed protein and oil across regions within the United States focused on variation associated with state and regional boundaries. We conducted an analysis of an 8-yr survey of seed protein and oil across US states and regions, including a geostatistical approach to better characterize the continuous variation in seed composition on a regional scale. The objectives were (i) to determine the relative importance of temporal and regional variation, (ii) to explore the extent of spatial variability across years, (iii) to evaluate the temporal stability across regions, and (iv) to explore the negative correlation between protein and oil across regions and years. Our results confirmed previous findings showing higher protein concentration in southern states and regions. However, most of the observed variation occurred at scales below these political boundaries. The geostatistical approach indicated a moderate level of spatial dependency for protein and protein plus oil but low spatial autocorrelation for oil. In all cases, year-to-year variation in weather conditions modulated the expression of regional spatial patterns in composition. To fully predict seed composition at a regional scale would require additional information associated with weather and agronomic management.
Fil: Rotundo, José Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
Fil: Miller Garvin, Jill E.. University of Minnesota; Estados Unidos
Fil: Naeve, Seth L.. University of Minnesota; Estados Unidos
description Soybean [Glycine max (L.) Merr.] seed composition data are becoming critical for efficient marketing and trade of soybean and soybean products. Previous reports of variation in seed protein and oil across regions within the United States focused on variation associated with state and regional boundaries. We conducted an analysis of an 8-yr survey of seed protein and oil across US states and regions, including a geostatistical approach to better characterize the continuous variation in seed composition on a regional scale. The objectives were (i) to determine the relative importance of temporal and regional variation, (ii) to explore the extent of spatial variability across years, (iii) to evaluate the temporal stability across regions, and (iv) to explore the negative correlation between protein and oil across regions and years. Our results confirmed previous findings showing higher protein concentration in southern states and regions. However, most of the observed variation occurred at scales below these political boundaries. The geostatistical approach indicated a moderate level of spatial dependency for protein and protein plus oil but low spatial autocorrelation for oil. In all cases, year-to-year variation in weather conditions modulated the expression of regional spatial patterns in composition. To fully predict seed composition at a regional scale would require additional information associated with weather and agronomic management.
publishDate 2016
dc.date.none.fl_str_mv 2016-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/52598
Rotundo, José Luis; Miller Garvin, Jill E.; Naeve, Seth L.; Regional and temporal variation in soybean seed protein and oil across the United States; Crop Science Society of America; Crop Science; 56; 2; 3-2016; 797-808
0011-183X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/52598
identifier_str_mv Rotundo, José Luis; Miller Garvin, Jill E.; Naeve, Seth L.; Regional and temporal variation in soybean seed protein and oil across the United States; Crop Science Society of America; Crop Science; 56; 2; 3-2016; 797-808
0011-183X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.2135/cropsci2015.06.0394
info:eu-repo/semantics/altIdentifier/url/https://dl.sciencesocieties.org/publications/cs/abstracts/56/2/797
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Crop Science Society of America
publisher.none.fl_str_mv Crop Science Society of America
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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