Reproductive partitioning and seed set efficiency in soybean, sunflower and maize
- Autores
- Vega, Claudia Rosa Cecilia; Andrade, Fernando Héctor; Sadras, Victor Oscar
- Año de publicación
- 2001
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Seed number per plant (SNP) can be modelled as a function of plant growth rate during the critical period for seed set (PGRC), the proportion of plant growth partitioned to reproductive organs (PR) and the minimum assimilate requirement per seed (λ). In comparison to PGRC, less attention has been given to PR and λ. In this paper, we analysed reproductive partitioning and λ in three species of contrasting reproductive strategies, soybean (Glycine max L. Merrill), sunflower (Helianthus annuus L.) and maize (Zea mays L.). To study plant-to-plant variation and to characterise stability of the variables analysed, we focused on individual plants grown under a wide range of plant densities. In soybean and sunflower, reproductive partitioning comprised about 50% of shoot growth, was fairly stable in a wide range of plant growth, and only decreased in a few, very small plants. In comparison, reproductive partitioning in non-prolific maize showed an optimum, was generally below 50% and exhibited a strong variation and instability at plant growth rates ≅2 g/day. Among species, stability of reproductive partitioning correlated inversely with a PGRC threshold for reproductive growth and positively with reproductive plasticity at high PGRC. Consideration of reproductive partitioning improved estimation of seed number, particularly in maize, a species prone to barrenness. Seed number as a function of reproductive growth was adequately described through linear (soybean) and hyperbolic models with x-intercepts (sunflower and maize). Seed set efficiency in terms of seed number per unit of reproductive growth (Ef) was constant only in soybean. In sunflower and maize, Ef increased with decreasing reproductive growth and became highly variable and unstable when reproductive growth was close to the threshold for seed set. In maize, such threshold was higher than in soybean and sunflower possibly as a consequence of a higher minimum combined demand for assimilate, resulting from a higher λ and number of simultaneously developing sinks. Inclusion of parameters assessing (i) stability in reproductive partitioning at low plant growth rates, and (ii) the minimum assimilate requirement per seed might improve seed number estimation.
Fil: Vega, Claudia Rosa Cecilia. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Andrade, Fernando Héctor. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Sadras, Victor Oscar. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina - Materia
-
ALLOMETRY
ASSIMILATE REQUIREMENT
PLANT GROWTH RATE
PLANT-TO-PLANT VARIATION
REPRODUCTIVE PARTITIONING
SEED SET EFFICIENCY
STABILITY - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/149536
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spelling |
Reproductive partitioning and seed set efficiency in soybean, sunflower and maizeVega, Claudia Rosa CeciliaAndrade, Fernando HéctorSadras, Victor OscarALLOMETRYASSIMILATE REQUIREMENTPLANT GROWTH RATEPLANT-TO-PLANT VARIATIONREPRODUCTIVE PARTITIONINGSEED SET EFFICIENCYSTABILITYhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Seed number per plant (SNP) can be modelled as a function of plant growth rate during the critical period for seed set (PGRC), the proportion of plant growth partitioned to reproductive organs (PR) and the minimum assimilate requirement per seed (λ). In comparison to PGRC, less attention has been given to PR and λ. In this paper, we analysed reproductive partitioning and λ in three species of contrasting reproductive strategies, soybean (Glycine max L. Merrill), sunflower (Helianthus annuus L.) and maize (Zea mays L.). To study plant-to-plant variation and to characterise stability of the variables analysed, we focused on individual plants grown under a wide range of plant densities. In soybean and sunflower, reproductive partitioning comprised about 50% of shoot growth, was fairly stable in a wide range of plant growth, and only decreased in a few, very small plants. In comparison, reproductive partitioning in non-prolific maize showed an optimum, was generally below 50% and exhibited a strong variation and instability at plant growth rates ≅2 g/day. Among species, stability of reproductive partitioning correlated inversely with a PGRC threshold for reproductive growth and positively with reproductive plasticity at high PGRC. Consideration of reproductive partitioning improved estimation of seed number, particularly in maize, a species prone to barrenness. Seed number as a function of reproductive growth was adequately described through linear (soybean) and hyperbolic models with x-intercepts (sunflower and maize). Seed set efficiency in terms of seed number per unit of reproductive growth (Ef) was constant only in soybean. In sunflower and maize, Ef increased with decreasing reproductive growth and became highly variable and unstable when reproductive growth was close to the threshold for seed set. In maize, such threshold was higher than in soybean and sunflower possibly as a consequence of a higher minimum combined demand for assimilate, resulting from a higher λ and number of simultaneously developing sinks. Inclusion of parameters assessing (i) stability in reproductive partitioning at low plant growth rates, and (ii) the minimum assimilate requirement per seed might improve seed number estimation.Fil: Vega, Claudia Rosa Cecilia. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Andrade, Fernando Héctor. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Sadras, Victor Oscar. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaElsevier Science2001-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/149536Vega, Claudia Rosa Cecilia; Andrade, Fernando Héctor; Sadras, Victor Oscar; Reproductive partitioning and seed set efficiency in soybean, sunflower and maize; Elsevier Science; Field Crops Research; 72; 3; 9-2001; 163-1750378-4290CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0378429001001721info:eu-repo/semantics/altIdentifier/doi/10.1016/S0378-4290(01)00172-1info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:07:23Zoai:ri.conicet.gov.ar:11336/149536instacron: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 10:07:23.681CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Reproductive partitioning and seed set efficiency in soybean, sunflower and maize |
title |
Reproductive partitioning and seed set efficiency in soybean, sunflower and maize |
spellingShingle |
Reproductive partitioning and seed set efficiency in soybean, sunflower and maize Vega, Claudia Rosa Cecilia ALLOMETRY ASSIMILATE REQUIREMENT PLANT GROWTH RATE PLANT-TO-PLANT VARIATION REPRODUCTIVE PARTITIONING SEED SET EFFICIENCY STABILITY |
title_short |
Reproductive partitioning and seed set efficiency in soybean, sunflower and maize |
title_full |
Reproductive partitioning and seed set efficiency in soybean, sunflower and maize |
title_fullStr |
Reproductive partitioning and seed set efficiency in soybean, sunflower and maize |
title_full_unstemmed |
Reproductive partitioning and seed set efficiency in soybean, sunflower and maize |
title_sort |
Reproductive partitioning and seed set efficiency in soybean, sunflower and maize |
dc.creator.none.fl_str_mv |
Vega, Claudia Rosa Cecilia Andrade, Fernando Héctor Sadras, Victor Oscar |
author |
Vega, Claudia Rosa Cecilia |
author_facet |
Vega, Claudia Rosa Cecilia Andrade, Fernando Héctor Sadras, Victor Oscar |
author_role |
author |
author2 |
Andrade, Fernando Héctor Sadras, Victor Oscar |
author2_role |
author author |
dc.subject.none.fl_str_mv |
ALLOMETRY ASSIMILATE REQUIREMENT PLANT GROWTH RATE PLANT-TO-PLANT VARIATION REPRODUCTIVE PARTITIONING SEED SET EFFICIENCY STABILITY |
topic |
ALLOMETRY ASSIMILATE REQUIREMENT PLANT GROWTH RATE PLANT-TO-PLANT VARIATION REPRODUCTIVE PARTITIONING SEED SET EFFICIENCY STABILITY |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/4.1 https://purl.org/becyt/ford/4 |
dc.description.none.fl_txt_mv |
Seed number per plant (SNP) can be modelled as a function of plant growth rate during the critical period for seed set (PGRC), the proportion of plant growth partitioned to reproductive organs (PR) and the minimum assimilate requirement per seed (λ). In comparison to PGRC, less attention has been given to PR and λ. In this paper, we analysed reproductive partitioning and λ in three species of contrasting reproductive strategies, soybean (Glycine max L. Merrill), sunflower (Helianthus annuus L.) and maize (Zea mays L.). To study plant-to-plant variation and to characterise stability of the variables analysed, we focused on individual plants grown under a wide range of plant densities. In soybean and sunflower, reproductive partitioning comprised about 50% of shoot growth, was fairly stable in a wide range of plant growth, and only decreased in a few, very small plants. In comparison, reproductive partitioning in non-prolific maize showed an optimum, was generally below 50% and exhibited a strong variation and instability at plant growth rates ≅2 g/day. Among species, stability of reproductive partitioning correlated inversely with a PGRC threshold for reproductive growth and positively with reproductive plasticity at high PGRC. Consideration of reproductive partitioning improved estimation of seed number, particularly in maize, a species prone to barrenness. Seed number as a function of reproductive growth was adequately described through linear (soybean) and hyperbolic models with x-intercepts (sunflower and maize). Seed set efficiency in terms of seed number per unit of reproductive growth (Ef) was constant only in soybean. In sunflower and maize, Ef increased with decreasing reproductive growth and became highly variable and unstable when reproductive growth was close to the threshold for seed set. In maize, such threshold was higher than in soybean and sunflower possibly as a consequence of a higher minimum combined demand for assimilate, resulting from a higher λ and number of simultaneously developing sinks. Inclusion of parameters assessing (i) stability in reproductive partitioning at low plant growth rates, and (ii) the minimum assimilate requirement per seed might improve seed number estimation. Fil: Vega, Claudia Rosa Cecilia. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Andrade, Fernando Héctor. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Sadras, Victor Oscar. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
description |
Seed number per plant (SNP) can be modelled as a function of plant growth rate during the critical period for seed set (PGRC), the proportion of plant growth partitioned to reproductive organs (PR) and the minimum assimilate requirement per seed (λ). In comparison to PGRC, less attention has been given to PR and λ. In this paper, we analysed reproductive partitioning and λ in three species of contrasting reproductive strategies, soybean (Glycine max L. Merrill), sunflower (Helianthus annuus L.) and maize (Zea mays L.). To study plant-to-plant variation and to characterise stability of the variables analysed, we focused on individual plants grown under a wide range of plant densities. In soybean and sunflower, reproductive partitioning comprised about 50% of shoot growth, was fairly stable in a wide range of plant growth, and only decreased in a few, very small plants. In comparison, reproductive partitioning in non-prolific maize showed an optimum, was generally below 50% and exhibited a strong variation and instability at plant growth rates ≅2 g/day. Among species, stability of reproductive partitioning correlated inversely with a PGRC threshold for reproductive growth and positively with reproductive plasticity at high PGRC. Consideration of reproductive partitioning improved estimation of seed number, particularly in maize, a species prone to barrenness. Seed number as a function of reproductive growth was adequately described through linear (soybean) and hyperbolic models with x-intercepts (sunflower and maize). Seed set efficiency in terms of seed number per unit of reproductive growth (Ef) was constant only in soybean. In sunflower and maize, Ef increased with decreasing reproductive growth and became highly variable and unstable when reproductive growth was close to the threshold for seed set. In maize, such threshold was higher than in soybean and sunflower possibly as a consequence of a higher minimum combined demand for assimilate, resulting from a higher λ and number of simultaneously developing sinks. Inclusion of parameters assessing (i) stability in reproductive partitioning at low plant growth rates, and (ii) the minimum assimilate requirement per seed might improve seed number estimation. |
publishDate |
2001 |
dc.date.none.fl_str_mv |
2001-09 |
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/11336/149536 Vega, Claudia Rosa Cecilia; Andrade, Fernando Héctor; Sadras, Victor Oscar; Reproductive partitioning and seed set efficiency in soybean, sunflower and maize; Elsevier Science; Field Crops Research; 72; 3; 9-2001; 163-175 0378-4290 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/149536 |
identifier_str_mv |
Vega, Claudia Rosa Cecilia; Andrade, Fernando Héctor; Sadras, Victor Oscar; Reproductive partitioning and seed set efficiency in soybean, sunflower and maize; Elsevier Science; Field Crops Research; 72; 3; 9-2001; 163-175 0378-4290 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0378429001001721 info:eu-repo/semantics/altIdentifier/doi/10.1016/S0378-4290(01)00172-1 |
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 |
Elsevier Science |
publisher.none.fl_str_mv |
Elsevier Science |
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) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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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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1844613932743917568 |
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13.070432 |