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| 3. |  | SENA JUNIOR, D. G. de; PINTO, F. de A. de C.; QUEIROZ, D. de M.; MANTOVANI, E. C. Algoritmo para classificação de plantas de milho atacadas pela lagarta do cartucho (Spodoptera frugiperda, Smith) em imagens digitais. Revista Brasileira de Engenharia Agricola e Ambiental, Campina Grande, v. 5, n. 3, p. 502-509, 2001.| Biblioteca(s): Embrapa Milho e Sorgo. |
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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: |
26/12/2011 |
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Data da última atualização: |
24/03/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
VIANA, J. M. S.; ALMEIDA, R. V. de; FARIA, V. R.; RESENDE, M. D. V. de; SILVA, F. F. e. |
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Afiliação: |
JOSÉ MARCELO SORIANO VIANA, UFV; RAMON VINÍCIUS DE ALMEIDA, UFV; VINÍCIUS RIBEIRO FARIA, UFV; MARCOS DEON VILELA DE RESENDE, CNPF; FABYANO FONSECA E SILVA, UFV. |
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Título: |
Genetic evaluation of inbred plants based on BLUP of breeding value and general combining ability. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Crop and Pasture Science, v. 62, p. 515-522, 2011. |
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Idioma: |
Inglês |
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Conteúdo: |
The testcross method is considered efficient for identifying inbred families with superior general combining ability. The objective of the present study was to assess the relative importance of the performance per se and in crossing in the selection of inbred progenies using bi-trait best linear unbiased prediction.Weanalysed data for expansion volume (EV) and grain yield from three tests of popcorn (Zea mays L. ssp. everta) S3 families and seven testcross trials, using the ASRemL software. Four selection strategies were assessed based on: breeding value (strategy 1), general combining ability effect (GCA) (strategy 2), additive value and GCA from strategies 1 and 2 (strategy 3), and breeding value and GCA predicted by bi-trait analyses consideringEVand yield of the families and testcrosses as different traits (strategy 4). The bi-trait analyses of the same characteristic assessed in S3 families and topcrosses were generally more accurate and had greater heritabilites. The greatest predicted gains inEVwere obtained using strategy 4, which was inferior to the other strategies for the yield predicted gains. Strategies 1 and 2 differed most for the families selected. Selection based on GCA maximised heterosis. All of the strategies resulted in comparable realised gains, especially the strategies 3 and 4 based on breeding value and GCA. Selection on S3 based on the additive value andGCA(strategies 3 and 4) resulted in inbred lines superior in number of favourable genes and in general combining ability. MenosThe testcross method is considered efficient for identifying inbred families with superior general combining ability. The objective of the present study was to assess the relative importance of the performance per se and in crossing in the selection of inbred progenies using bi-trait best linear unbiased prediction.Weanalysed data for expansion volume (EV) and grain yield from three tests of popcorn (Zea mays L. ssp. everta) S3 families and seven testcross trials, using the ASRemL software. Four selection strategies were assessed based on: breeding value (strategy 1), general combining ability effect (GCA) (strategy 2), additive value and GCA from strategies 1 and 2 (strategy 3), and breeding value and GCA predicted by bi-trait analyses consideringEVand yield of the families and testcrosses as different traits (strategy 4). The bi-trait analyses of the same characteristic assessed in S3 families and topcrosses were generally more accurate and had greater heritabilites. The greatest predicted gains inEVwere obtained using strategy 4, which was inferior to the other strategies for the yield predicted gains. Strategies 1 and 2 differed most for the families selected. Selection based on GCA maximised heterosis. All of the strategies resulted in comparable realised gains, especially the strategies 3 and 4 based on breeding value and GCA. Selection on S3 based on the additive value andGCA(strategies 3 and 4) resulted in inbred lines superior in number of favourable genes and in ge... Mostrar Tudo |
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Palavras-Chave: |
Melhoramento de planta. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02090naa a2200181 a 4500
001 1910800
005 2015-03-24
008 2011 bl uuuu u00u1 u #d
100 1 $aVIANA, J. M. S.
245 $aGenetic evaluation of inbred plants based on BLUP of breeding value and general combining ability.$h[electronic resource]
260 $c2011
520 $aThe testcross method is considered efficient for identifying inbred families with superior general combining ability. The objective of the present study was to assess the relative importance of the performance per se and in crossing in the selection of inbred progenies using bi-trait best linear unbiased prediction.Weanalysed data for expansion volume (EV) and grain yield from three tests of popcorn (Zea mays L. ssp. everta) S3 families and seven testcross trials, using the ASRemL software. Four selection strategies were assessed based on: breeding value (strategy 1), general combining ability effect (GCA) (strategy 2), additive value and GCA from strategies 1 and 2 (strategy 3), and breeding value and GCA predicted by bi-trait analyses consideringEVand yield of the families and testcrosses as different traits (strategy 4). The bi-trait analyses of the same characteristic assessed in S3 families and topcrosses were generally more accurate and had greater heritabilites. The greatest predicted gains inEVwere obtained using strategy 4, which was inferior to the other strategies for the yield predicted gains. Strategies 1 and 2 differed most for the families selected. Selection based on GCA maximised heterosis. All of the strategies resulted in comparable realised gains, especially the strategies 3 and 4 based on breeding value and GCA. Selection on S3 based on the additive value andGCA(strategies 3 and 4) resulted in inbred lines superior in number of favourable genes and in general combining ability.
653 $aMelhoramento de planta
700 1 $aALMEIDA, R. V. de
700 1 $aFARIA, V. R.
700 1 $aRESENDE, M. D. V. de
700 1 $aSILVA, F. F. e
773 $tCrop and Pasture Science$gv. 62, p. 515-522, 2011.
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