ASSOCIATIVE MAPPING FOR EXOTIC SOYBEAN GERMPLASM GRAIN YIELD IN HIGH TEMPERATURES
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
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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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 |
_version_ |
1797674029545422848 |