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| 1. |  | FERRARI, M.; CANTARELLI, E. B.; SOUZA, V. Q. de; NARDINO, M.; CARVALHO, I. R.; PELEGRIN, A. J. de; SZARESKI, V. J.; PELISSARI, G. Influência de fertilizante de liberação controlada em mudas de Tabernaemontana catharinensis. Pesquisa Florestal Brasileira, Colombo, v. 36, n. 88, p. 543-547, out./dez. 2016. Nota Científica.| Biblioteca(s): Embrapa Florestas. |
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| 2. | | 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. Adaptability, stability and multivariate selection by mixed models. American Journal of Plant Sciences, v. 8, p. 3324-3337, 2017.| Biblioteca(s): Embrapa Florestas. |
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| Registros recuperados : 2 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
20/12/2017 |
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Data da última atualização: |
20/12/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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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. |
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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. |
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Título: |
Adaptability, stability and multivariate selection by mixed models. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
American Journal of Plant Sciences, v. 8, p. 3324-3337, 2017. |
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Idioma: |
Português |
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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. |
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Thesaurus NAL: |
Plant Breeding. |
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Categoria do assunto: |
-- |
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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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