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Registro Completo |
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Biblioteca(s): |
Embrapa Algodão. |
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Data corrente: |
26/01/2023 |
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Data da última atualização: |
30/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PEIXOTO, M. A.; EVANGELISTA, J. S. P. C.; COELHO, I. F.; CARVALHO, L. P. de; FARIAS, F. J. C.; TEODORO, P. E.; BHERING, L. L. |
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Afiliação: |
MARCO ANTÔNIO PEIXOTO, UNIVERSIDADE FEDERAL DE VIÇOSA; JENIFFER SANTANA PINTO COELHO EVANGELISTA, UNIVERSIDADE FEDERAL DE VIÇOSA; IGOR FERREIRA COELHO, UNIVERSIDADE FEDERAL DE VIÇOSA; LUIZ PAULO DE CARVALHO, CNPA; FRANCISCO JOSE CORREIA FARIAS, CNPA; PAULO EDUARDO TEODORO, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; LEONARDO LOPES BHERING, UNIVERSIDADE FEDERAL DE VIÇOSA. |
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Título: |
Genotype selection based on multiple traits in cotton crops: the application of genotype by yield trait biplot. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Acta Scientiarum. Agronomy, v. 44, e54136, 2022. |
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ISSN: |
1807-8621 |
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DOI: |
10.4025/actasciagron.v44i1.54136 |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT - In cotton crops, the cotton seed yield significantly contributes with the success of any cultivar. However, other traits are considered when an ideotype is pointed out in the selection, such as the fiber quality traits. The aim of this study was to applied genotype by yield*trait (GYT) biplot to a multi-environment trial data of cotton genotypes and selected the best genotypes. For this end, thirteen genotypes from nineteen trials were assessed. Seven traits were evaluated [cotton seed yield (SY), fiber percentage (FP), fiber length (FL), fiber uniformity (FU), short fiber index (SFI), fiber strength (FS), and elongation (EL)] and residual error variances structures [identity variance (IDV) and diagonal (Diag)] were tested by bayesian information criterion. After, the REML/BLUP approach was applied to predict the genetic values of each trait and the selective accuracy were measured from the prediction. Then, the GYT-biplot were applied to the data. For SP and SFI traits, the model with Diag residual variance was indicated, whereas for SY FL, FU, FS, and EL traits the model with IDV residual variance demonstrated the best fit to the data. Values of accuracy were higher than 0.9 for all traits analyzed. In the GYT-biplot acute angles were find for all traits relations, which means high correlation between the yield*traits combination. Besides that, the correlation still can be seen in the GYT-biplot, as shown by the magnitudes of the angles between the pairs Yield*FU-Yield*FS and Yield*FS-Yield*EL. Also, the GYT-biplot indicates the genotype G4 with the best performance for Yield*FS, Yield*SFI, Yield*FU, Yield*FL, and Yield*FP combined. The genotypes G4, G1, G13, G8, and G9 represent those genotypes with yield advantage over the other cultivars. Then, the genotype G4 combines all desirable characteristics and demonstrate have large potential in the cotton breeding. The GYT approach were valuable and were highly recommended in cotton breeding programs for selection purpose in a multivariate scenario. MenosABSTRACT - In cotton crops, the cotton seed yield significantly contributes with the success of any cultivar. However, other traits are considered when an ideotype is pointed out in the selection, such as the fiber quality traits. The aim of this study was to applied genotype by yield*trait (GYT) biplot to a multi-environment trial data of cotton genotypes and selected the best genotypes. For this end, thirteen genotypes from nineteen trials were assessed. Seven traits were evaluated [cotton seed yield (SY), fiber percentage (FP), fiber length (FL), fiber uniformity (FU), short fiber index (SFI), fiber strength (FS), and elongation (EL)] and residual error variances structures [identity variance (IDV) and diagonal (Diag)] were tested by bayesian information criterion. After, the REML/BLUP approach was applied to predict the genetic values of each trait and the selective accuracy were measured from the prediction. Then, the GYT-biplot were applied to the data. For SP and SFI traits, the model with Diag residual variance was indicated, whereas for SY FL, FU, FS, and EL traits the model with IDV residual variance demonstrated the best fit to the data. Values of accuracy were higher than 0.9 for all traits analyzed. In the GYT-biplot acute angles were find for all traits relations, which means high correlation between the yield*traits combination. Besides that, the correlation still can be seen in the GYT-biplot, as shown by the magnitudes of the angles between the pairs Yield*F... Mostrar Tudo |
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Thesagro: |
Algodão; Análise Estatística; Genótipo; Gossypium Hirsutum. |
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Thesaurus Nal: |
Cotton; Cultivars; Genotype; Seed cotton. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1151251/1/Genotype-selection-based-multiple-2022.pdf
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Marc: |
LEADER 02957naa a2200313 a 4500
001 2151251
005 2023-01-30
008 2022 bl uuuu u00u1 u #d
022 $a1807-8621
024 7 $a10.4025/actasciagron.v44i1.54136$2DOI
100 1 $aPEIXOTO, M. A.
245 $aGenotype selection based on multiple traits in cotton crops$bthe application of genotype by yield trait biplot.$h[electronic resource]
260 $c2022
520 $aABSTRACT - In cotton crops, the cotton seed yield significantly contributes with the success of any cultivar. However, other traits are considered when an ideotype is pointed out in the selection, such as the fiber quality traits. The aim of this study was to applied genotype by yield*trait (GYT) biplot to a multi-environment trial data of cotton genotypes and selected the best genotypes. For this end, thirteen genotypes from nineteen trials were assessed. Seven traits were evaluated [cotton seed yield (SY), fiber percentage (FP), fiber length (FL), fiber uniformity (FU), short fiber index (SFI), fiber strength (FS), and elongation (EL)] and residual error variances structures [identity variance (IDV) and diagonal (Diag)] were tested by bayesian information criterion. After, the REML/BLUP approach was applied to predict the genetic values of each trait and the selective accuracy were measured from the prediction. Then, the GYT-biplot were applied to the data. For SP and SFI traits, the model with Diag residual variance was indicated, whereas for SY FL, FU, FS, and EL traits the model with IDV residual variance demonstrated the best fit to the data. Values of accuracy were higher than 0.9 for all traits analyzed. In the GYT-biplot acute angles were find for all traits relations, which means high correlation between the yield*traits combination. Besides that, the correlation still can be seen in the GYT-biplot, as shown by the magnitudes of the angles between the pairs Yield*FU-Yield*FS and Yield*FS-Yield*EL. Also, the GYT-biplot indicates the genotype G4 with the best performance for Yield*FS, Yield*SFI, Yield*FU, Yield*FL, and Yield*FP combined. The genotypes G4, G1, G13, G8, and G9 represent those genotypes with yield advantage over the other cultivars. Then, the genotype G4 combines all desirable characteristics and demonstrate have large potential in the cotton breeding. The GYT approach were valuable and were highly recommended in cotton breeding programs for selection purpose in a multivariate scenario.
650 $aCotton
650 $aCultivars
650 $aGenotype
650 $aSeed cotton
650 $aAlgodão
650 $aAnálise Estatística
650 $aGenótipo
650 $aGossypium Hirsutum
700 1 $aEVANGELISTA, J. S. P. C.
700 1 $aCOELHO, I. F.
700 1 $aCARVALHO, L. P. de
700 1 $aFARIAS, F. J. C.
700 1 $aTEODORO, P. E.
700 1 $aBHERING, L. L.
773 $tActa Scientiarum. Agronomy$gv. 44, e54136, 2022.
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Registro original: |
Embrapa Algodão (CNPA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Meio-Norte. Para informações adicionais entre em contato com cpamn.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Meio-Norte. |
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Data corrente: |
16/02/2009 |
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Data da última atualização: |
19/02/2009 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
MOREIRA FILHO, M. A.; OLIVEIRA, M. E. de; NASCIMENTO, M. P. S. C. B. do; ALVES, A. A.; SILVA, D. C. da; RODRIGUES, M. M.; RIBEIRO, A. M. |
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Afiliação: |
Miguel Arcanjo Moreira Filho, UFPI; Maria Elizabete de Oliveira, UFPI; Maria do Perpétuo Socorro Cortez Bona do Nascimento, Embrapa Meio-Norte; Arnaud Azevêdo Alves, UFPI; Daniel Cézar da Silva, UFPI; Macônio Martins Rodrigues, UFPI; Aline Mendes Ribeiro, UFPI. |
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Título: |
Composição de seis espécies nativas do Estado do Piauí para alimentação de ruminantes. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
In: ZOOTEC 2008, João Pessoa: ABZ, 2008. |
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Páginas: |
4 p. |
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Idioma: |
Português |
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Conteúdo: |
Este trabalho foi conduzido com o objetivo de avaliara a composição bromatológica de seis espécies nativas do estado do Piauí consumidas por caprinos. |
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Thesagro: |
Alimentação; Caprino; Planta Forrageira; Valor Nutritivo. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00866naa a2200253 a 4500
001 1070503
005 2009-02-19
008 2008 bl uuuu u00u1 u #d
100 1 $aMOREIRA FILHO, M. A.
245 $aComposição de seis espécies nativas do Estado do Piauí para alimentação de ruminantes.
260 $c2008
300 $a4 p.
520 $aEste trabalho foi conduzido com o objetivo de avaliara a composição bromatológica de seis espécies nativas do estado do Piauí consumidas por caprinos.
650 $aAlimentação
650 $aCaprino
650 $aPlanta Forrageira
650 $aValor Nutritivo
700 1 $aOLIVEIRA, M. E. de
700 1 $aNASCIMENTO, M. P. S. C. B. do
700 1 $aALVES, A. A.
700 1 $aSILVA, D. C. da
700 1 $aRODRIGUES, M. M.
700 1 $aRIBEIRO, A. M.
773 $tIn: ZOOTEC 2008, João Pessoa: ABZ, 2008.
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