Physiological performance of soybean genotypes grown under irrigated and rainfed conditions
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1111/jac.12448 http://hdl.handle.net/11449/205195 |
Resumo: | Gas exchange analysis is an important technique, as the reduction in yield may be related to the decreased photosynthetic activity, due to adverse climatic factors in the growing site. The hypothesis of this study was that contrasting soil water conditions result in different photosynthetic performance in soybean genotypes. Thus, our objective was to analyse the physiological capacity in soybean genotypes under field conditions with optimal soil moisture and under water deficit. The experimental design was random blocks with 10 genotypes (P1, P2, P3, P4, P5, P6, P7, P8, P9 and P10) and three replicates. Individual analysis of variance was performed in both environments (irrigated and rainfed), and a correlation network between the traits was generated. We measured the traits net photosynthesis, stomatal conductance, internal CO2 concentration, instant water-use efficiency, instant carboxylation efficiency and grain yield. Stressed plants reduce stomatal conductance and transpiration, but increase the instant water-use efficiency as a defence mechanism in sub-optimal soil moisture conditions. The P6 genotype obtained better physiological capacity under irrigated conditions, while the P10 genotype showed the better performance under rainfed conditions, which makes it tolerant to water stress. Our findings can contribute to the genotype formation and parental choice steps in breeding programs aimed at obtaining both irrigation-responsive and drought-tolerant genotypes. |
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Physiological performance of soybean genotypes grown under irrigated and rainfed conditionsabiotic stressgas exchange analysisGlycine Max. (L) MerrillGas exchange analysis is an important technique, as the reduction in yield may be related to the decreased photosynthetic activity, due to adverse climatic factors in the growing site. The hypothesis of this study was that contrasting soil water conditions result in different photosynthetic performance in soybean genotypes. Thus, our objective was to analyse the physiological capacity in soybean genotypes under field conditions with optimal soil moisture and under water deficit. The experimental design was random blocks with 10 genotypes (P1, P2, P3, P4, P5, P6, P7, P8, P9 and P10) and three replicates. Individual analysis of variance was performed in both environments (irrigated and rainfed), and a correlation network between the traits was generated. We measured the traits net photosynthesis, stomatal conductance, internal CO2 concentration, instant water-use efficiency, instant carboxylation efficiency and grain yield. Stressed plants reduce stomatal conductance and transpiration, but increase the instant water-use efficiency as a defence mechanism in sub-optimal soil moisture conditions. The P6 genotype obtained better physiological capacity under irrigated conditions, while the P10 genotype showed the better performance under rainfed conditions, which makes it tolerant to water stress. Our findings can contribute to the genotype formation and parental choice steps in breeding programs aimed at obtaining both irrigation-responsive and drought-tolerant genotypes.Universidade Estadual Paulista (UNESP)Universidade Federal de Mato Grosso do Sul (UFMS)Universidade Estadual Paulista (UNESP)Universidade Estadual Paulista (Unesp)Universidade Federal de Mato Grosso do Sul (UFMS)Cotrim, Mayara Fávero [UNESP]Gava, RicardoCampos, Cid Naudi Silvade David, Carlos Henrique OliveiraReis, Igor de AssisTeodoro, Larissa Pereira RibeiroTeodoro, Paulo Eduardo [UNESP]2021-06-25T10:11:27Z2021-06-25T10:11:27Z2021-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article34-43http://dx.doi.org/10.1111/jac.12448Journal of Agronomy and Crop Science, v. 207, n. 1, p. 34-43, 2021.1439-037X0931-2250http://hdl.handle.net/11449/20519510.1111/jac.124482-s2.0-85091309679Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Agronomy and Crop Scienceinfo:eu-repo/semantics/openAccess2021-10-23T11:55:32Zoai:repositorio.unesp.br:11449/205195Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:39:28.570764Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Physiological performance of soybean genotypes grown under irrigated and rainfed conditions |
title |
Physiological performance of soybean genotypes grown under irrigated and rainfed conditions |
spellingShingle |
Physiological performance of soybean genotypes grown under irrigated and rainfed conditions Cotrim, Mayara Fávero [UNESP] abiotic stress gas exchange analysis Glycine Max. (L) Merrill |
title_short |
Physiological performance of soybean genotypes grown under irrigated and rainfed conditions |
title_full |
Physiological performance of soybean genotypes grown under irrigated and rainfed conditions |
title_fullStr |
Physiological performance of soybean genotypes grown under irrigated and rainfed conditions |
title_full_unstemmed |
Physiological performance of soybean genotypes grown under irrigated and rainfed conditions |
title_sort |
Physiological performance of soybean genotypes grown under irrigated and rainfed conditions |
author |
Cotrim, Mayara Fávero [UNESP] |
author_facet |
Cotrim, Mayara Fávero [UNESP] Gava, Ricardo Campos, Cid Naudi Silva de David, Carlos Henrique Oliveira Reis, Igor de Assis Teodoro, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo [UNESP] |
author_role |
author |
author2 |
Gava, Ricardo Campos, Cid Naudi Silva de David, Carlos Henrique Oliveira Reis, Igor de Assis Teodoro, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo [UNESP] |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade Federal de Mato Grosso do Sul (UFMS) |
dc.contributor.author.fl_str_mv |
Cotrim, Mayara Fávero [UNESP] Gava, Ricardo Campos, Cid Naudi Silva de David, Carlos Henrique Oliveira Reis, Igor de Assis Teodoro, Larissa Pereira Ribeiro Teodoro, Paulo Eduardo [UNESP] |
dc.subject.por.fl_str_mv |
abiotic stress gas exchange analysis Glycine Max. (L) Merrill |
topic |
abiotic stress gas exchange analysis Glycine Max. (L) Merrill |
description |
Gas exchange analysis is an important technique, as the reduction in yield may be related to the decreased photosynthetic activity, due to adverse climatic factors in the growing site. The hypothesis of this study was that contrasting soil water conditions result in different photosynthetic performance in soybean genotypes. Thus, our objective was to analyse the physiological capacity in soybean genotypes under field conditions with optimal soil moisture and under water deficit. The experimental design was random blocks with 10 genotypes (P1, P2, P3, P4, P5, P6, P7, P8, P9 and P10) and three replicates. Individual analysis of variance was performed in both environments (irrigated and rainfed), and a correlation network between the traits was generated. We measured the traits net photosynthesis, stomatal conductance, internal CO2 concentration, instant water-use efficiency, instant carboxylation efficiency and grain yield. Stressed plants reduce stomatal conductance and transpiration, but increase the instant water-use efficiency as a defence mechanism in sub-optimal soil moisture conditions. The P6 genotype obtained better physiological capacity under irrigated conditions, while the P10 genotype showed the better performance under rainfed conditions, which makes it tolerant to water stress. Our findings can contribute to the genotype formation and parental choice steps in breeding programs aimed at obtaining both irrigation-responsive and drought-tolerant genotypes. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-06-25T10:11:27Z 2021-06-25T10:11:27Z 2021-02-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1111/jac.12448 Journal of Agronomy and Crop Science, v. 207, n. 1, p. 34-43, 2021. 1439-037X 0931-2250 http://hdl.handle.net/11449/205195 10.1111/jac.12448 2-s2.0-85091309679 |
url |
http://dx.doi.org/10.1111/jac.12448 http://hdl.handle.net/11449/205195 |
identifier_str_mv |
Journal of Agronomy and Crop Science, v. 207, n. 1, p. 34-43, 2021. 1439-037X 0931-2250 10.1111/jac.12448 2-s2.0-85091309679 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Agronomy and Crop Science |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
34-43 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129101250166784 |