ASSOCIATIVE MAPPING FOR EXOTIC SOYBEAN GERMPLASM GRAIN YIELD IN HIGH TEMPERATURES

Detalhes bibliográficos
Autor(a) principal: Sousa, Camila Campêlo de
Data de Publicação: 2022
Outros Autores: Assunção, Ubirajara Santana, Ferreira, Mônica Christina, Lopes, Ângela Celis de Almeida, Gomes, Regina Lucia Ferreira, Pinheiro, José Baldin
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Caatinga
Texto Completo: https://periodicos.ufersa.edu.br/caatinga/article/view/10687
Resumo: Soybeans are among the world’s main crops because they are excellent sources of proteins, micronutrients, and oil. Considering that abiotic stress affects agribusiness, resulting in losses, the grain yield of the crop must be maintained even at high temperatures. In this context, the objective of this study was to select markers related to soybean yield assessed under high temperatures, using associative mapping. The mapping population included 80 soybean PIs and 15 controls. For phenotyping, genotypes were evaluated at high temperatures in an experiment conducted in Teresina (in the state of Piauí) and four characters of interest for agronomy were evaluated: height of the plant when mature, agronomic value, 100-seed weight, and grain yield. Genotyping was carried out using the Affymetrix Platform (180 K Axiom® Soybean Genotyping Array), and the imbalance in the connection between pairs of markers was calculated through the coefficient of determination using the fast permutation test. The analysis of the association between markers and the phenotype of interest was carried out using a generalized linear model approach, including phenotyping data, SNP markers, and information on population structure. The results revealed that 34.06% of loci showed a significant linkage disequilibrium (p < 0.001), and 16 significant associations were found for the four characters related to heat tolerance. These associations can aid breeders that aim to incorporate high temperature tolerance in programs of soybean genetic improvement via selection assisted by markers.
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spelling ASSOCIATIVE MAPPING FOR EXOTIC SOYBEAN GERMPLASM GRAIN YIELD IN HIGH TEMPERATURESMAPEAMENTO ASSOCIATIVO PARA PRODUTIVIDADE DE GRÃOS EM GERMPLASMA EXÓTICO DE SOJA SOB ALTAS TEMPERATURASGlycine max. Linkage disequilibrium. Marker assisted selection.Glycine max. Desequilíbrio de ligação. Seleção assistida por marcadores.Soybeans are among the world’s main crops because they are excellent sources of proteins, micronutrients, and oil. Considering that abiotic stress affects agribusiness, resulting in losses, the grain yield of the crop must be maintained even at high temperatures. In this context, the objective of this study was to select markers related to soybean yield assessed under high temperatures, using associative mapping. The mapping population included 80 soybean PIs and 15 controls. For phenotyping, genotypes were evaluated at high temperatures in an experiment conducted in Teresina (in the state of Piauí) and four characters of interest for agronomy were evaluated: height of the plant when mature, agronomic value, 100-seed weight, and grain yield. Genotyping was carried out using the Affymetrix Platform (180 K Axiom® Soybean Genotyping Array), and the imbalance in the connection between pairs of markers was calculated through the coefficient of determination using the fast permutation test. The analysis of the association between markers and the phenotype of interest was carried out using a generalized linear model approach, including phenotyping data, SNP markers, and information on population structure. The results revealed that 34.06% of loci showed a significant linkage disequilibrium (p < 0.001), and 16 significant associations were found for the four characters related to heat tolerance. These associations can aid breeders that aim to incorporate high temperature tolerance in programs of soybean genetic improvement via selection assisted by markers.A soja está entre as principais culturas do mundo, pois é uma excelente fonte de proteínas, micronutrientes e óleo. Considerando que o estresse abiótico afeta o agronegócio, acarretando em perdas, a produtividade de grãos da cultura deve ser mantida mesmo sob altas temperaturas. Nesse contexto, o objetivo deste trabalho foi selecionar marcadores relacionados à produtividade da soja, avaliada em altas temperaturas, por meio de mapeamento associativo. A população de mapeamento incluiu 80 PIs de soja e 15 controle. Para a fenotipagem, os genótipos foram avaliados em altas temperaturas em um experimento realizado em Teresina (estado do Piauí) e foram avaliados quatro caracteres de interesse agronômico: altura da planta na maturidade, valor agronômico, peso de 100 sementes e rendimento de grãos. A genotipagem foi realizada por meio da Affymetrix Platform (180 K Axiom® Soybean Genotyping Array) e o desequilíbrio de ligação entre pares de marcadores foi calculado por meio do coeficiente de determinação, por meio do teste de permutação rápida. A análise da associação entre os marcadores e o fenótipo de interesse foi realizada por meio de uma abordagem de modelo linear generalizado, incluindo dados de fenotipagem, marcadores SNP e informações sobre a estrutura populacional. Os resultados revelaram que 34,06% dos loci apresentaram desequilíbrio de ligação significativo (p < 0,001), sendo encontradas 16 associações significativas para os quatro caracteres relacionados à tolerância ao calor. Essas associações podem auxiliar os melhoristas que buscam incorporar a tolerância a altas temperaturas em programas de melhoramento genético da soja via seleção assistida por marcadores.Universidade Federal Rural do Semi-Árido2022-07-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufersa.edu.br/caatinga/article/view/1068710.1590/1983-21252022v35n307rcREVISTA CAATINGA; Vol. 35 No. 3 (2022); 567-573Revista Caatinga; v. 35 n. 3 (2022); 567-5731983-21250100-316Xreponame:Revista Caatingainstname:Universidade Federal Rural do Semi-Árido (UFERSA)instacron:UFERSAenghttps://periodicos.ufersa.edu.br/caatinga/article/view/10687/10986Copyright (c) 2022 Revista Caatingainfo:eu-repo/semantics/openAccessSousa, Camila Campêlo deAssunção, Ubirajara SantanaFerreira, Mônica ChristinaLopes, Ângela Celis de Almeida Gomes, Regina Lucia FerreiraPinheiro, José Baldin 2023-07-03T13:59:40Zoai:ojs.periodicos.ufersa.edu.br:article/10687Revistahttps://periodicos.ufersa.edu.br/index.php/caatinga/indexPUBhttps://periodicos.ufersa.edu.br/index.php/caatinga/oaipatricio@ufersa.edu.br|| caatinga@ufersa.edu.br1983-21250100-316Xopendoar:2024-04-29T09:46:57.980186Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)true
dc.title.none.fl_str_mv ASSOCIATIVE MAPPING FOR EXOTIC SOYBEAN GERMPLASM GRAIN YIELD IN HIGH TEMPERATURES
MAPEAMENTO ASSOCIATIVO PARA PRODUTIVIDADE DE GRÃOS EM GERMPLASMA EXÓTICO DE SOJA SOB ALTAS TEMPERATURAS
title ASSOCIATIVE MAPPING FOR EXOTIC SOYBEAN GERMPLASM GRAIN YIELD IN HIGH TEMPERATURES
spellingShingle ASSOCIATIVE MAPPING FOR EXOTIC SOYBEAN GERMPLASM GRAIN YIELD IN HIGH TEMPERATURES
Sousa, Camila Campêlo de
Glycine max. Linkage disequilibrium. Marker assisted selection.
Glycine max. Desequilíbrio de ligação. Seleção assistida por marcadores.
title_short ASSOCIATIVE MAPPING FOR EXOTIC SOYBEAN GERMPLASM GRAIN YIELD IN HIGH TEMPERATURES
title_full ASSOCIATIVE MAPPING FOR EXOTIC SOYBEAN GERMPLASM GRAIN YIELD IN HIGH TEMPERATURES
title_fullStr ASSOCIATIVE MAPPING FOR EXOTIC SOYBEAN GERMPLASM GRAIN YIELD IN HIGH TEMPERATURES
title_full_unstemmed ASSOCIATIVE MAPPING FOR EXOTIC SOYBEAN GERMPLASM GRAIN YIELD IN HIGH TEMPERATURES
title_sort ASSOCIATIVE MAPPING FOR EXOTIC SOYBEAN GERMPLASM GRAIN YIELD IN HIGH TEMPERATURES
author Sousa, Camila Campêlo de
author_facet Sousa, Camila Campêlo de
Assunção, Ubirajara Santana
Ferreira, Mônica Christina
Lopes, Ângela Celis de Almeida
Gomes, Regina Lucia Ferreira
Pinheiro, José Baldin
author_role author
author2 Assunção, Ubirajara Santana
Ferreira, Mônica Christina
Lopes, Ângela Celis de Almeida
Gomes, Regina Lucia Ferreira
Pinheiro, José Baldin
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Sousa, Camila Campêlo de
Assunção, Ubirajara Santana
Ferreira, Mônica Christina
Lopes, Ângela Celis de Almeida
Gomes, Regina Lucia Ferreira
Pinheiro, José Baldin
dc.subject.por.fl_str_mv Glycine max. Linkage disequilibrium. Marker assisted selection.
Glycine max. Desequilíbrio de ligação. Seleção assistida por marcadores.
topic Glycine max. Linkage disequilibrium. Marker assisted selection.
Glycine max. Desequilíbrio de ligação. Seleção assistida por marcadores.
description Soybeans are among the world’s main crops because they are excellent sources of proteins, micronutrients, and oil. Considering that abiotic stress affects agribusiness, resulting in losses, the grain yield of the crop must be maintained even at high temperatures. In this context, the objective of this study was to select markers related to soybean yield assessed under high temperatures, using associative mapping. The mapping population included 80 soybean PIs and 15 controls. For phenotyping, genotypes were evaluated at high temperatures in an experiment conducted in Teresina (in the state of Piauí) and four characters of interest for agronomy were evaluated: height of the plant when mature, agronomic value, 100-seed weight, and grain yield. Genotyping was carried out using the Affymetrix Platform (180 K Axiom® Soybean Genotyping Array), and the imbalance in the connection between pairs of markers was calculated through the coefficient of determination using the fast permutation test. The analysis of the association between markers and the phenotype of interest was carried out using a generalized linear model approach, including phenotyping data, SNP markers, and information on population structure. The results revealed that 34.06% of loci showed a significant linkage disequilibrium (p < 0.001), and 16 significant associations were found for the four characters related to heat tolerance. These associations can aid breeders that aim to incorporate high temperature tolerance in programs of soybean genetic improvement via selection assisted by markers.
publishDate 2022
dc.date.none.fl_str_mv 2022-07-12
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufersa.edu.br/caatinga/article/view/10687
10.1590/1983-21252022v35n307rc
url https://periodicos.ufersa.edu.br/caatinga/article/view/10687
identifier_str_mv 10.1590/1983-21252022v35n307rc
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufersa.edu.br/caatinga/article/view/10687/10986
dc.rights.driver.fl_str_mv Copyright (c) 2022 Revista Caatinga
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Revista Caatinga
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal Rural do Semi-Árido
publisher.none.fl_str_mv Universidade Federal Rural do Semi-Árido
dc.source.none.fl_str_mv REVISTA CAATINGA; Vol. 35 No. 3 (2022); 567-573
Revista Caatinga; v. 35 n. 3 (2022); 567-573
1983-2125
0100-316X
reponame:Revista Caatinga
instname:Universidade Federal Rural do Semi-Árido (UFERSA)
instacron:UFERSA
instname_str Universidade Federal Rural do Semi-Árido (UFERSA)
instacron_str UFERSA
institution UFERSA
reponame_str Revista Caatinga
collection Revista Caatinga
repository.name.fl_str_mv Revista Caatinga - Universidade Federal Rural do Semi-Árido (UFERSA)
repository.mail.fl_str_mv patricio@ufersa.edu.br|| caatinga@ufersa.edu.br
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