Is individual seed weight distribution within soybean plants hierarchically structured?
- Autores
- Carrera, Constanza Soledad; Ergo, Verónica Vanesa; Slafer, Gustavo A.
- Año de publicación
- 2026
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Individual seed weight (SWi) varies within a plant and collectively determines average seed weight (SWa). Unlike in cereals, this variation has not been thoroughly examined in soybean to identify underlying patterns. Understanding these patterns may help explain the physiological mechanisms driving SWa responses to genotype × environment interactions. This study aimed to investigate whether SWi follows a hierarchical pattern within a soybean plant, and to evaluate the stability of this pattern when resource availability is increased at R3 or R6. A field experiment was conducted using three treatments arranged in four randomized complete blocks: an unmanipulated control, thinning at R3, and thinning at R6. In both thinning treatments, two-thirds of the plants per plot were removed to increase resource availability per plant for the remaining plants. The weight of every individual seed was measured across different morphological positions in the plant: main stem and branches, nodes along the stem, pods within nodes, and seeds within pods. Thinning at R3 nearly doubled plant yield, mainly due to a 69% increase in seed number (SN), accompanied by a much smaller increase in SWa (13%), indicating source limitation during the critical period of SN determination. In contrast, thinning at R6 did not affect SN or SWa, suggesting that yield was not strongly limited by assimilate availability during the second half of the effective seed filling period. Across all treatments, SWi followed a consistent hierarchical pattern: seeds from central stem nodes were the heaviest; within nodes, earlier-developing pods had heavier seeds than laterdeveloping pods; and within pods, seeds closest to the pedicel were the lightest. The consistency of intraplant SWi patterns across contrasting resource availability per plant indicates that SWi distribution is a constitutive trait (at least in indeterminate soybeans) that must be considered when interpreting responses of SWa to environmental variations and, in particular, to source–sink manipulation treatments.
Instituto de Fisiología y Recursos Genéticos Vegetales
Fil: Carrera, Constanza Soledad. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Fisiología y Recursos Genéticos Vegetales; Argentina
Fil: Carrera, Constanza Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Estudios Agropecuarios (UDEA); Argentina
Fil: Ergo, Verónica Vanesa. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Fisiología y Recursos Genéticos Vegetales; Argentina
Fil: Ergo, Verónica Vanesa. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Estudios Agropecuarios (UDEA); Argentina
Fil: Slafer, Gustavo A. University of Lleida. Department of Agricultural and Forest Sciences and Engineering; España
Fil: Slafer, Gustavo A. AGROTECNIO-CERCA Center. Crop Physiology Group; España
Fil: Slafer, Gustavo A. ICREA. Catalonian Institution for Research and Advanced Studies; España - Fuente
- Field Crops Research 342 : 110459 (May 2026)
- Materia
-
Glycine max
Carácter de Rendimiento
Hinchamiento de la Semilla
Aclareo
Yield Components
Seed Filling
Thinning
Soybeans
Soja
Critical Period
Source-sink Limitation - Nivel de accesibilidad
- acceso restringido
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/26407
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Is individual seed weight distribution within soybean plants hierarchically structured?Carrera, Constanza SoledadErgo, Verónica VanesaSlafer, Gustavo A.Glycine maxCarácter de RendimientoHinchamiento de la SemillaAclareoYield ComponentsSeed FillingThinningSoybeansSojaCritical PeriodSource-sink LimitationIndividual seed weight (SWi) varies within a plant and collectively determines average seed weight (SWa). Unlike in cereals, this variation has not been thoroughly examined in soybean to identify underlying patterns. Understanding these patterns may help explain the physiological mechanisms driving SWa responses to genotype × environment interactions. This study aimed to investigate whether SWi follows a hierarchical pattern within a soybean plant, and to evaluate the stability of this pattern when resource availability is increased at R3 or R6. A field experiment was conducted using three treatments arranged in four randomized complete blocks: an unmanipulated control, thinning at R3, and thinning at R6. In both thinning treatments, two-thirds of the plants per plot were removed to increase resource availability per plant for the remaining plants. The weight of every individual seed was measured across different morphological positions in the plant: main stem and branches, nodes along the stem, pods within nodes, and seeds within pods. Thinning at R3 nearly doubled plant yield, mainly due to a 69% increase in seed number (SN), accompanied by a much smaller increase in SWa (13%), indicating source limitation during the critical period of SN determination. In contrast, thinning at R6 did not affect SN or SWa, suggesting that yield was not strongly limited by assimilate availability during the second half of the effective seed filling period. Across all treatments, SWi followed a consistent hierarchical pattern: seeds from central stem nodes were the heaviest; within nodes, earlier-developing pods had heavier seeds than laterdeveloping pods; and within pods, seeds closest to the pedicel were the lightest. The consistency of intraplant SWi patterns across contrasting resource availability per plant indicates that SWi distribution is a constitutive trait (at least in indeterminate soybeans) that must be considered when interpreting responses of SWa to environmental variations and, in particular, to source–sink manipulation treatments.Instituto de Fisiología y Recursos Genéticos VegetalesFil: Carrera, Constanza Soledad. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Fisiología y Recursos Genéticos Vegetales; ArgentinaFil: Carrera, Constanza Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Estudios Agropecuarios (UDEA); ArgentinaFil: Ergo, Verónica Vanesa. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Fisiología y Recursos Genéticos Vegetales; ArgentinaFil: Ergo, Verónica Vanesa. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Estudios Agropecuarios (UDEA); ArgentinaFil: Slafer, Gustavo A. University of Lleida. Department of Agricultural and Forest Sciences and Engineering; EspañaFil: Slafer, Gustavo A. AGROTECNIO-CERCA Center. Crop Physiology Group; EspañaFil: Slafer, Gustavo A. ICREA. Catalonian Institution for Research and Advanced Studies; EspañaElsevier2026-05-29T10:06:51Z2026-05-29T10:06:51Z2026-05-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/26407https://www.sciencedirect.com/science/article/abs/pii/S03784290260013580378-42901872-6852https://doi.org/10.1016/j.fcr.2026.110459Field Crops Research 342 : 110459 (May 2026)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/2019-PE-E1-I011-001, Intensificacion Sustentable de la Agricultura en la Region Pampeanainfo:eu-repograntAgreement/INTA/2019-PD-E3-I060-001, Adaptación de los cultivos al cambio climático: Bases ecofisiológicas para el manejo y la mejora genéticainfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2026-06-11T09:54:45Zoai:localhost:20.500.12123/26407instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2026-06-11 09:54:45.854INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse |
| dc.title.none.fl_str_mv |
Is individual seed weight distribution within soybean plants hierarchically structured? |
| title |
Is individual seed weight distribution within soybean plants hierarchically structured? |
| spellingShingle |
Is individual seed weight distribution within soybean plants hierarchically structured? Carrera, Constanza Soledad Glycine max Carácter de Rendimiento Hinchamiento de la Semilla Aclareo Yield Components Seed Filling Thinning Soybeans Soja Critical Period Source-sink Limitation |
| title_short |
Is individual seed weight distribution within soybean plants hierarchically structured? |
| title_full |
Is individual seed weight distribution within soybean plants hierarchically structured? |
| title_fullStr |
Is individual seed weight distribution within soybean plants hierarchically structured? |
| title_full_unstemmed |
Is individual seed weight distribution within soybean plants hierarchically structured? |
| title_sort |
Is individual seed weight distribution within soybean plants hierarchically structured? |
| dc.creator.none.fl_str_mv |
Carrera, Constanza Soledad Ergo, Verónica Vanesa Slafer, Gustavo A. |
| author |
Carrera, Constanza Soledad |
| author_facet |
Carrera, Constanza Soledad Ergo, Verónica Vanesa Slafer, Gustavo A. |
| author_role |
author |
| author2 |
Ergo, Verónica Vanesa Slafer, Gustavo A. |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Glycine max Carácter de Rendimiento Hinchamiento de la Semilla Aclareo Yield Components Seed Filling Thinning Soybeans Soja Critical Period Source-sink Limitation |
| topic |
Glycine max Carácter de Rendimiento Hinchamiento de la Semilla Aclareo Yield Components Seed Filling Thinning Soybeans Soja Critical Period Source-sink Limitation |
| dc.description.none.fl_txt_mv |
Individual seed weight (SWi) varies within a plant and collectively determines average seed weight (SWa). Unlike in cereals, this variation has not been thoroughly examined in soybean to identify underlying patterns. Understanding these patterns may help explain the physiological mechanisms driving SWa responses to genotype × environment interactions. This study aimed to investigate whether SWi follows a hierarchical pattern within a soybean plant, and to evaluate the stability of this pattern when resource availability is increased at R3 or R6. A field experiment was conducted using three treatments arranged in four randomized complete blocks: an unmanipulated control, thinning at R3, and thinning at R6. In both thinning treatments, two-thirds of the plants per plot were removed to increase resource availability per plant for the remaining plants. The weight of every individual seed was measured across different morphological positions in the plant: main stem and branches, nodes along the stem, pods within nodes, and seeds within pods. Thinning at R3 nearly doubled plant yield, mainly due to a 69% increase in seed number (SN), accompanied by a much smaller increase in SWa (13%), indicating source limitation during the critical period of SN determination. In contrast, thinning at R6 did not affect SN or SWa, suggesting that yield was not strongly limited by assimilate availability during the second half of the effective seed filling period. Across all treatments, SWi followed a consistent hierarchical pattern: seeds from central stem nodes were the heaviest; within nodes, earlier-developing pods had heavier seeds than laterdeveloping pods; and within pods, seeds closest to the pedicel were the lightest. The consistency of intraplant SWi patterns across contrasting resource availability per plant indicates that SWi distribution is a constitutive trait (at least in indeterminate soybeans) that must be considered when interpreting responses of SWa to environmental variations and, in particular, to source–sink manipulation treatments. Instituto de Fisiología y Recursos Genéticos Vegetales Fil: Carrera, Constanza Soledad. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Fisiología y Recursos Genéticos Vegetales; Argentina Fil: Carrera, Constanza Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Estudios Agropecuarios (UDEA); Argentina Fil: Ergo, Verónica Vanesa. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Fisiología y Recursos Genéticos Vegetales; Argentina Fil: Ergo, Verónica Vanesa. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Estudios Agropecuarios (UDEA); Argentina Fil: Slafer, Gustavo A. University of Lleida. Department of Agricultural and Forest Sciences and Engineering; España Fil: Slafer, Gustavo A. AGROTECNIO-CERCA Center. Crop Physiology Group; España Fil: Slafer, Gustavo A. ICREA. Catalonian Institution for Research and Advanced Studies; España |
| description |
Individual seed weight (SWi) varies within a plant and collectively determines average seed weight (SWa). Unlike in cereals, this variation has not been thoroughly examined in soybean to identify underlying patterns. Understanding these patterns may help explain the physiological mechanisms driving SWa responses to genotype × environment interactions. This study aimed to investigate whether SWi follows a hierarchical pattern within a soybean plant, and to evaluate the stability of this pattern when resource availability is increased at R3 or R6. A field experiment was conducted using three treatments arranged in four randomized complete blocks: an unmanipulated control, thinning at R3, and thinning at R6. In both thinning treatments, two-thirds of the plants per plot were removed to increase resource availability per plant for the remaining plants. The weight of every individual seed was measured across different morphological positions in the plant: main stem and branches, nodes along the stem, pods within nodes, and seeds within pods. Thinning at R3 nearly doubled plant yield, mainly due to a 69% increase in seed number (SN), accompanied by a much smaller increase in SWa (13%), indicating source limitation during the critical period of SN determination. In contrast, thinning at R6 did not affect SN or SWa, suggesting that yield was not strongly limited by assimilate availability during the second half of the effective seed filling period. Across all treatments, SWi followed a consistent hierarchical pattern: seeds from central stem nodes were the heaviest; within nodes, earlier-developing pods had heavier seeds than laterdeveloping pods; and within pods, seeds closest to the pedicel were the lightest. The consistency of intraplant SWi patterns across contrasting resource availability per plant indicates that SWi distribution is a constitutive trait (at least in indeterminate soybeans) that must be considered when interpreting responses of SWa to environmental variations and, in particular, to source–sink manipulation treatments. |
| publishDate |
2026 |
| dc.date.none.fl_str_mv |
2026-05-29T10:06:51Z 2026-05-29T10:06:51Z 2026-05-15 |
| 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 |
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article |
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publishedVersion |
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http://hdl.handle.net/20.500.12123/26407 https://www.sciencedirect.com/science/article/abs/pii/S0378429026001358 0378-4290 1872-6852 https://doi.org/10.1016/j.fcr.2026.110459 |
| url |
http://hdl.handle.net/20.500.12123/26407 https://www.sciencedirect.com/science/article/abs/pii/S0378429026001358 https://doi.org/10.1016/j.fcr.2026.110459 |
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0378-4290 1872-6852 |
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eng |
| language |
eng |
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info:eu-repograntAgreement/INTA/2019-PE-E1-I011-001, Intensificacion Sustentable de la Agricultura en la Region Pampeana info:eu-repograntAgreement/INTA/2019-PD-E3-I060-001, Adaptación de los cultivos al cambio climático: Bases ecofisiológicas para el manejo y la mejora genética |
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application/pdf |
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Elsevier |
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