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Registro Completo |
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Biblioteca(s): |
Embrapa Algodão; Embrapa Meio-Norte. |
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Data corrente: |
03/03/2017 |
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Data da última atualização: |
16/01/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA FILHO, J. L. da; MORELLO, C. de L.; SUASSUNA, N. D.; FARIAS, F. J. C.; LAMAS, F. M.; PEDROSA, M. B.; RIBEIRO, J. L.; SUASSUNA, T. de M. F. |
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Afiliação: |
JOAO LUIS DA SILVA FILHO, CNPA; CAMILO DE LELIS MORELLO, CNPA; NELSON DIAS SUASSUNA, CNPA; FRANCISCO JOSE CORREIA FARIAS, CNPA; FERNANDO MENDES LAMAS, CPAO; MURILO BARROS PEDROSA, FUNDAÇÃO BAHIA; JOSE LOPES RIBEIRO, CPAMN; TAIS DE MORAES FALLEIRO SUASSUNA, CNPA. |
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Título: |
Environmental stratification in cotton in the presence or absence of genotypes with high ecovalence. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, v. 17, p. 32-39, 2017. |
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DOI: |
10.1590/1984- 70332017v17n1a5 |
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Idioma: |
Inglês |
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Conteúdo: |
Cottonseed yield data of 17 genotypes, of which two genotypes contributed to more than 30% of the total ecovalence, and grown in 23 locations, were used to compare four methods of disjoint environmental stratification: a) environmental index (Ie): favorable or unfavorable environments; b) stratification in partitions that maximize the sum of squares of the genotype x partition interaction [(GP)m]; c) environmental scores of the second principal component of the GGE analysis (PC2-GGE); d) environmental scores of the first principal component of the AMMI analysis (PC1-AMMI). Scenarios were simulated (10,000 simulations per scenario) using combination of nine or 13 environments and 11 genotypes, either including or excluding those with the highest ecovalence values. In all scenarios, the greatest selection gains were obtained via PC2-GGE stratification, and the lowest selection gains were obtained via Ie. The ecovalences of the genotypes influenced the results obtained using the stratification methods. |
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Thesagro: |
Algodão; Genótipo; Gossypium hirsutum. |
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Thesaurus Nal: |
Cotton; Cottonseed. |
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Categoria do assunto: |
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F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/156979/1/Environmental-stratification-in-cotton.pdf
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Marc: |
LEADER 01847naa a2200277 a 4500
001 2065996
005 2018-01-16
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1590/1984- 70332017v17n1a5$2DOI
100 1 $aSILVA FILHO, J. L. da
245 $aEnvironmental stratification in cotton in the presence or absence of genotypes with high ecovalence.$h[electronic resource]
260 $c2017
520 $aCottonseed yield data of 17 genotypes, of which two genotypes contributed to more than 30% of the total ecovalence, and grown in 23 locations, were used to compare four methods of disjoint environmental stratification: a) environmental index (Ie): favorable or unfavorable environments; b) stratification in partitions that maximize the sum of squares of the genotype x partition interaction [(GP)m]; c) environmental scores of the second principal component of the GGE analysis (PC2-GGE); d) environmental scores of the first principal component of the AMMI analysis (PC1-AMMI). Scenarios were simulated (10,000 simulations per scenario) using combination of nine or 13 environments and 11 genotypes, either including or excluding those with the highest ecovalence values. In all scenarios, the greatest selection gains were obtained via PC2-GGE stratification, and the lowest selection gains were obtained via Ie. The ecovalences of the genotypes influenced the results obtained using the stratification methods.
650 $aCotton
650 $aCottonseed
650 $aAlgodão
650 $aGenótipo
650 $aGossypium hirsutum
700 1 $aMORELLO, C. de L.
700 1 $aSUASSUNA, N. D.
700 1 $aFARIAS, F. J. C.
700 1 $aLAMAS, F. M.
700 1 $aPEDROSA, M. B.
700 1 $aRIBEIRO, J. L.
700 1 $aSUASSUNA, T. de M. F.
773 $tCrop Breeding and Applied Biotechnology$gv. 17, p. 32-39, 2017.
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Registro original: |
Embrapa Algodão (CNPA) |
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