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Registro Completo |
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
20/12/2017 |
Data da última atualização: |
20/12/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
PELEGRIN, A. J. de; CARVALHO, I. R.; NUNES, A. C. P.; DEMARI, G. H.; SZARESKI, V. J.; BARBOSA, M. H.; ROSA, T. C. da; FERRARI, M.; NARDINO, M.; SANTOS, O. P. dos; RESENDE, M. D. V. de; SOUZA, V. Q. de; OLIVEIRA, A. C. de; MAIA, L. C. da. |
Afiliação: |
ALAN JUNIOR DE PELEGRIN, UNIVERSIDADE FEDERAL DE PELOTAS; IVAN RICARDO CARVALHO, UNIVERSIDADE FEDERAL DE PELOTAS; ANDREI CAÍQUE PIRES NUNES, UNIVERSIDADE FEDERAL DE VIÇOSA; GUSTAVO HENRIQUE DEMARI, UNIVERSIDADE FEDERAL DE PELOTAS; VINICÍUS JARDEL SZARESKI, UNIVERSIDADE FEDERAL DE PELOTAS; MAURICIO HORBACH BARBOSA, UNIVERSIDADE FEDERAL DE SANTA MARIA; TIAGO CORAZZA DA ROSA, UNIVERSIDADE FEDERAL DE PELOTAS; MAURICIO FERRARI, UNIVERSIDADE FEDERAL DE PELOTAS; MAICON NARDINO, UNIVERSIDADE FEDERAL DE PELOTAS; OSMARINO PIRES DOS SANTOS, UNIVERSIDADE FEDERAL DE PELOTAS; MARCOS DEON VILELA DE RESENDE, CNPF; VELCI QUEIRÓZ DE SOUZA, UNIVERSIDADE FEDERAL DE PAMPA; ANTONIO COSTA DE OLIVEIRA, UNIVERSIDADE FEDERAL DE PELOTAS; LUCIANO CARLOS DA MAIA, UNIVERSIDADE FEDERAL DE PELOTAS. |
Título: |
Adaptability, stability and multivariate selection by mixed models. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
American Journal of Plant Sciences, v. 8, p. 3324-3337, 2017. |
Idioma: |
Português |
Conteúdo: |
The aim of this work was to estimate the adaptability and stability of grain yield per hectare and percentage of crude protein of maize grains combined in an index, and to establish a multicharacter selection through mixed models based on an objective character and 15 auxiliary traits. The trials were conducted in the 2013/2014 agricultural year in four growing environments of the Rio Grande do Sul, BR state. The experimental design was randomized blocks arranged in a factorial scheme, being four growing sites × 15 single cross maize hybrids, arranged in three repetitions. The genotypic index, composed by the grain yield and the crude protein percentage in the grains, is the best selection strategy to achieve maize superior genotypes. The multivariate genotypes selection, considering grain yield and crude protein, is efficient. The genotypes FORMULA TL®, AS1656PRO®, P30F53Hx®, LG6304YG® and 30F53 are more adapted and stable for grain yield and percentage of crude protein, in the conditions of this study. The mixed models were efficient to employ the multicharacter selection and to contribute for maize genetic breeding. |
Thesaurus Nal: |
Plant Breeding. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01965naa a2200289 a 4500 001 2083119 005 2017-12-20 008 2017 bl uuuu u00u1 u #d 100 1 $aPELEGRIN, A. J. de 245 $aAdaptability, stability and multivariate selection by mixed models.$h[electronic resource] 260 $c2017 520 $aThe aim of this work was to estimate the adaptability and stability of grain yield per hectare and percentage of crude protein of maize grains combined in an index, and to establish a multicharacter selection through mixed models based on an objective character and 15 auxiliary traits. The trials were conducted in the 2013/2014 agricultural year in four growing environments of the Rio Grande do Sul, BR state. The experimental design was randomized blocks arranged in a factorial scheme, being four growing sites × 15 single cross maize hybrids, arranged in three repetitions. The genotypic index, composed by the grain yield and the crude protein percentage in the grains, is the best selection strategy to achieve maize superior genotypes. The multivariate genotypes selection, considering grain yield and crude protein, is efficient. The genotypes FORMULA TL®, AS1656PRO®, P30F53Hx®, LG6304YG® and 30F53 are more adapted and stable for grain yield and percentage of crude protein, in the conditions of this study. The mixed models were efficient to employ the multicharacter selection and to contribute for maize genetic breeding. 650 $aPlant Breeding 700 1 $aCARVALHO, I. R. 700 1 $aNUNES, A. C. P. 700 1 $aDEMARI, G. H. 700 1 $aSZARESKI, V. J. 700 1 $aBARBOSA, M. H. 700 1 $aROSA, T. C. da 700 1 $aFERRARI, M. 700 1 $aNARDINO, M. 700 1 $aSANTOS, O. P. dos 700 1 $aRESENDE, M. D. V. de 700 1 $aSOUZA, V. Q. de 700 1 $aOLIVEIRA, A. C. de 700 1 $aMAIA, L. C. da 773 $tAmerican Journal of Plant Sciences$gv. 8, p. 3324-3337, 2017.
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Registro original: |
Embrapa Florestas (CNPF) |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
27/10/2021 |
Data da última atualização: |
10/04/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 5 |
Autoria: |
RIBEIRO, P. C. O.; SALVADOR, F. V.; OLIVEIRA, I. C. M.; MENEZES, C. B. de. |
Afiliação: |
PEDRO CÉSAR OLIVEIRA RIBEIRO, UNIVERSIDADE FEDERAL DE VIÇOSA; FELIPE VICENTINO SALVADOR, UNIVERSIDADE FEDERAL DE VIÇOSA; ISADORA CRISTINA MARTINS OLIVEIRA; CICERO BESERRA DE MENEZES, CNPMS. |
Título: |
Factor analysis and environmental stratification in the assessment of grain sorghum adaptability and stability. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Agronomy Science and Biotechnology, v. 7, r134, p. 1-8, 2021. |
DOI: |
https://doi.org/10.33158/ASB.r134.v7.2021 |
Idioma: |
Inglês |
Conteúdo: |
The environmental stratification studies are crucial when releasing hybrids for different growing regions. An outstanding performance of a genotype in one environment does not qualify it for indication to all environments, due the occurrence of GxE interaction. Environmental stratification aim the breeders to form groups of environments that minimize GxE interaction. The purpose of this work was to evaluate the use of factor analysis in preliminary environmental stratification assisting at the recommendation of grain sorghum cultivars. Twenty-five hybrids were evaluated, using a randomized block design, in 12 locations during the 2015/16 season. Initially, the individual analysis of the experiments was carried out and later the joint analysis, aiming to examine the existence of G×E interaction. The means of the hybrids in the individual analyses were used to obtain the correlation matrix between pairs of environments. The factorization of this matrix was also carried out via factor analysis in order to group together the environments that most correlated with respect to the hybrids performance. Thus, differential performance between hybrids was observed through individual analyses for all the environments, with the exception of Sete Lagoas and Teresina. The joint analysis revealed the existence of a significant G×E interaction, that is, a differential behavior of the hybrids in relation to the evaluated environments. Based on the criterion of the analysis of the proportion of explained variance, it was found that six factors captured an accumulated variation of 86.29%, and the average communality observed was of 0.86. Considering the geographic and edaphoclimatic variables in the cultivation period, a pattern was not observed among the grouped places, but it is noteworthy that the grouping of places is a function of the performance of the evaluated genotypes, which can be similar even under different conditions. Given the results presented, factor analysis proved to be a tool with potential to perform environmental stratification and assist in the recommendation of grain sorghum cultivars for different regions. MenosThe environmental stratification studies are crucial when releasing hybrids for different growing regions. An outstanding performance of a genotype in one environment does not qualify it for indication to all environments, due the occurrence of GxE interaction. Environmental stratification aim the breeders to form groups of environments that minimize GxE interaction. The purpose of this work was to evaluate the use of factor analysis in preliminary environmental stratification assisting at the recommendation of grain sorghum cultivars. Twenty-five hybrids were evaluated, using a randomized block design, in 12 locations during the 2015/16 season. Initially, the individual analysis of the experiments was carried out and later the joint analysis, aiming to examine the existence of G×E interaction. The means of the hybrids in the individual analyses were used to obtain the correlation matrix between pairs of environments. The factorization of this matrix was also carried out via factor analysis in order to group together the environments that most correlated with respect to the hybrids performance. Thus, differential performance between hybrids was observed through individual analyses for all the environments, with the exception of Sete Lagoas and Teresina. The joint analysis revealed the existence of a significant G×E interaction, that is, a differential behavior of the hybrids in relation to the evaluated environments. Based on the criterion of the analysis of the proportion o... Mostrar Tudo |
Thesagro: |
Alimento; Farinha; Ração; Sorghum Bicolor. |
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/227224/1/Factor-analysis.pdf
|
Marc: |
LEADER 02842naa a2200217 a 4500 001 2135596 005 2024-04-10 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.33158/ASB.r134.v7.2021$2DOI 100 1 $aRIBEIRO, P. C. O. 245 $aFactor analysis and environmental stratification in the assessment of grain sorghum adaptability and stability.$h[electronic resource] 260 $c2021 520 $aThe environmental stratification studies are crucial when releasing hybrids for different growing regions. An outstanding performance of a genotype in one environment does not qualify it for indication to all environments, due the occurrence of GxE interaction. Environmental stratification aim the breeders to form groups of environments that minimize GxE interaction. The purpose of this work was to evaluate the use of factor analysis in preliminary environmental stratification assisting at the recommendation of grain sorghum cultivars. Twenty-five hybrids were evaluated, using a randomized block design, in 12 locations during the 2015/16 season. Initially, the individual analysis of the experiments was carried out and later the joint analysis, aiming to examine the existence of G×E interaction. The means of the hybrids in the individual analyses were used to obtain the correlation matrix between pairs of environments. The factorization of this matrix was also carried out via factor analysis in order to group together the environments that most correlated with respect to the hybrids performance. Thus, differential performance between hybrids was observed through individual analyses for all the environments, with the exception of Sete Lagoas and Teresina. The joint analysis revealed the existence of a significant G×E interaction, that is, a differential behavior of the hybrids in relation to the evaluated environments. Based on the criterion of the analysis of the proportion of explained variance, it was found that six factors captured an accumulated variation of 86.29%, and the average communality observed was of 0.86. Considering the geographic and edaphoclimatic variables in the cultivation period, a pattern was not observed among the grouped places, but it is noteworthy that the grouping of places is a function of the performance of the evaluated genotypes, which can be similar even under different conditions. Given the results presented, factor analysis proved to be a tool with potential to perform environmental stratification and assist in the recommendation of grain sorghum cultivars for different regions. 650 $aAlimento 650 $aFarinha 650 $aRação 650 $aSorghum Bicolor 700 1 $aSALVADOR, F. V. 700 1 $aOLIVEIRA, I. C. M. 700 1 $aMENEZES, C. B. de 773 $tAgronomy Science and Biotechnology$gv. 7, r134, p. 1-8, 2021.
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