Genetic variability, adaptability and, stability of safflower genotypes developed for the Brazilian conditions by REML/BLUP

Detalhes bibliográficos
Autor(a) principal: de Oliveira Neto, Sebastião Soares [UNESP]
Data de Publicação: 2021
Outros Autores: Zeffa, Douglas Mariani, Ebertz, Odila Friss [UNESP], Zoz, Tiago, Zanotto, Maurício Dutra [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1002/agj2.20775
http://hdl.handle.net/11449/233319
Resumo: Safflower (Carthamus tinctorius L.) has stood out as an oilseed crop with potential for cultivation in Brazil and can be inserted in the already consolidated production systems. However, obtaining adapted genotypes is essential for crop development, and the study of genetic variability and agronomic performance in different regions contributes to the recommendation of new cultivars. However, the genotype × environment interaction can influence the selection and recommendation of a given genotype for a region of cultivation and hinder the breeder's work. The use of mixed models allows the evaluation of genotype performance without the influence of the genotype × environment interaction, which makes recommending a genotype for a region more accurate. Four experiments were carried out in different regions of Brazil (Bauru-SP, Botucatu-SP and, Campo Novo do Parecis-MT) to evaluate 10 safflower genotypes in the final stage of breeding. The genetic variability of genotypes was analyzed through similarity analysis, as well as the stability and adaptability of genotypes through mixed models. Wide variability was found between the evaluated genotypes. The use of mixed models allowed the identification of safflower genotypes with high stability and adaptability of the grain and oil yield for cultivation in Brazil.
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spelling Genetic variability, adaptability and, stability of safflower genotypes developed for the Brazilian conditions by REML/BLUPSafflower (Carthamus tinctorius L.) has stood out as an oilseed crop with potential for cultivation in Brazil and can be inserted in the already consolidated production systems. However, obtaining adapted genotypes is essential for crop development, and the study of genetic variability and agronomic performance in different regions contributes to the recommendation of new cultivars. However, the genotype × environment interaction can influence the selection and recommendation of a given genotype for a region of cultivation and hinder the breeder's work. The use of mixed models allows the evaluation of genotype performance without the influence of the genotype × environment interaction, which makes recommending a genotype for a region more accurate. Four experiments were carried out in different regions of Brazil (Bauru-SP, Botucatu-SP and, Campo Novo do Parecis-MT) to evaluate 10 safflower genotypes in the final stage of breeding. The genetic variability of genotypes was analyzed through similarity analysis, as well as the stability and adaptability of genotypes through mixed models. Wide variability was found between the evaluated genotypes. The use of mixed models allowed the identification of safflower genotypes with high stability and adaptability of the grain and oil yield for cultivation in Brazil.Dep. of Crop Science School of Agricultural Science São Paulo State Univ. - UNESP, 18610-034Dep. of Agronomy State Univ. of Maringá - UEMResearch Group for Innovation and Advancement of Agriculture Univ. Estadual de Mato Grosso do Sul - UEMS, Unidade de Mundo Novo, 79980-000Dep. of Crop Science School of Agricultural Science São Paulo State Univ. - UNESP, 18610-034Universidade Estadual Paulista (UNESP)Universidade Estadual de Maringá (UEM)Universidade Estadual de Mato Grosso do Sul (UEMS)de Oliveira Neto, Sebastião Soares [UNESP]Zeffa, Douglas MarianiEbertz, Odila Friss [UNESP]Zoz, TiagoZanotto, Maurício Dutra [UNESP]2022-05-01T07:58:42Z2022-05-01T07:58:42Z2021-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article3100-3109http://dx.doi.org/10.1002/agj2.20775Agronomy Journal, v. 113, n. 4, p. 3100-3109, 2021.1435-06450002-1962http://hdl.handle.net/11449/23331910.1002/agj2.207752-s2.0-85111358886Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAgronomy Journalinfo:eu-repo/semantics/openAccess2024-04-30T15:57:13Zoai:repositorio.unesp.br:11449/233319Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-30T15:57:13Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Genetic variability, adaptability and, stability of safflower genotypes developed for the Brazilian conditions by REML/BLUP
title Genetic variability, adaptability and, stability of safflower genotypes developed for the Brazilian conditions by REML/BLUP
spellingShingle Genetic variability, adaptability and, stability of safflower genotypes developed for the Brazilian conditions by REML/BLUP
de Oliveira Neto, Sebastião Soares [UNESP]
title_short Genetic variability, adaptability and, stability of safflower genotypes developed for the Brazilian conditions by REML/BLUP
title_full Genetic variability, adaptability and, stability of safflower genotypes developed for the Brazilian conditions by REML/BLUP
title_fullStr Genetic variability, adaptability and, stability of safflower genotypes developed for the Brazilian conditions by REML/BLUP
title_full_unstemmed Genetic variability, adaptability and, stability of safflower genotypes developed for the Brazilian conditions by REML/BLUP
title_sort Genetic variability, adaptability and, stability of safflower genotypes developed for the Brazilian conditions by REML/BLUP
author de Oliveira Neto, Sebastião Soares [UNESP]
author_facet de Oliveira Neto, Sebastião Soares [UNESP]
Zeffa, Douglas Mariani
Ebertz, Odila Friss [UNESP]
Zoz, Tiago
Zanotto, Maurício Dutra [UNESP]
author_role author
author2 Zeffa, Douglas Mariani
Ebertz, Odila Friss [UNESP]
Zoz, Tiago
Zanotto, Maurício Dutra [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade Estadual de Maringá (UEM)
Universidade Estadual de Mato Grosso do Sul (UEMS)
dc.contributor.author.fl_str_mv de Oliveira Neto, Sebastião Soares [UNESP]
Zeffa, Douglas Mariani
Ebertz, Odila Friss [UNESP]
Zoz, Tiago
Zanotto, Maurício Dutra [UNESP]
description Safflower (Carthamus tinctorius L.) has stood out as an oilseed crop with potential for cultivation in Brazil and can be inserted in the already consolidated production systems. However, obtaining adapted genotypes is essential for crop development, and the study of genetic variability and agronomic performance in different regions contributes to the recommendation of new cultivars. However, the genotype × environment interaction can influence the selection and recommendation of a given genotype for a region of cultivation and hinder the breeder's work. The use of mixed models allows the evaluation of genotype performance without the influence of the genotype × environment interaction, which makes recommending a genotype for a region more accurate. Four experiments were carried out in different regions of Brazil (Bauru-SP, Botucatu-SP and, Campo Novo do Parecis-MT) to evaluate 10 safflower genotypes in the final stage of breeding. The genetic variability of genotypes was analyzed through similarity analysis, as well as the stability and adaptability of genotypes through mixed models. Wide variability was found between the evaluated genotypes. The use of mixed models allowed the identification of safflower genotypes with high stability and adaptability of the grain and oil yield for cultivation in Brazil.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-01
2022-05-01T07:58:42Z
2022-05-01T07:58:42Z
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/10.1002/agj2.20775
Agronomy Journal, v. 113, n. 4, p. 3100-3109, 2021.
1435-0645
0002-1962
http://hdl.handle.net/11449/233319
10.1002/agj2.20775
2-s2.0-85111358886
url http://dx.doi.org/10.1002/agj2.20775
http://hdl.handle.net/11449/233319
identifier_str_mv Agronomy Journal, v. 113, n. 4, p. 3100-3109, 2021.
1435-0645
0002-1962
10.1002/agj2.20775
2-s2.0-85111358886
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Agronomy Journal
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 3100-3109
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
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