Genetic variability, adaptability and, stability of safflower genotypes developed for the Brazilian conditions by REML/BLUP
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 |
DOI: | 10.1002/agj2.20775 |
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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Repositório Institucional da UNESP |
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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:29462024-08-05T19:06:40.457702Repositório 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 Genetic variability, adaptability and, stability of safflower genotypes developed for the Brazilian conditions by REML/BLUP de Oliveira Neto, Sebastião Soares [UNESP] 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 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 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] de Oliveira Neto, Sebastião Soares [UNESP] Zeffa, Douglas Mariani Ebertz, Odila Friss [UNESP] Zoz, Tiago Zanotto, Maurício Dutra [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 |
|
_version_ |
1822182355833454592 |
dc.identifier.doi.none.fl_str_mv |
10.1002/agj2.20775 |