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Registro Completo |
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Biblioteca(s): |
Embrapa Algodão. |
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Data corrente: |
22/12/2017 |
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Data da última atualização: |
19/01/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
QUEIROZ, R. R.; FARIAS, F. J. C.; CARVALHO, L. P. de; NEDER, D. G.; SOUZA, L. S. S.; FARIAS, F. C.; TEODORO, P. E. |
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Afiliação: |
D. R. QUEIROZ, UNIVERSIDADE ESTADUAL DA PARAÍBA - CAMPINA GRANDE; FRANCISCO JOSE CORREIA FARIAS, CNPA; LUIZ PAULO DE CARVALHO, CNPA; D. G. NEDER, UNIVERSIDADE ESTADUAL DA PARAÍBA - LAGOA SECA; L. S. S. SOUZA, UFPB - AREIA; F. C. FARIAS, UFG; P. E. TEODORO, UNIVERSIDADE FEDERAL DO MATO GROSSO DO SUL. |
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Título: |
Diallel analysis for agronomic traits in upland cotton in semi-arid zones in Brazil. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Genetics and Molecular Research, V. 16, N. 3, gmr16039677, 2017. |
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Idioma: |
Português |
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Conteúdo: |
This study aimed to estimate the general- (GCA) and specific-combining ability (SCA) and obtain information on the genetic control of agronomic traits among six upland cotton genotypes and their hybrid combinations. In 2015, six cotton genotypes (FM 993, CNPA 04-2080, PSC 355, TAM B 139-17, IAC 26, and TAMCOT-CAMD-E), and fifteen hybrid combinations were evaluated at the Experimental Station of Embrapa Algodão. The experiment consisted of a randomized block design with three replications. The characteristics evaluated were: the appearance of the first flower (AFF); the appearance of the Genetics and Molecular Research 16 (3): gmr16039677 first boll (AFB); plant height (PH); the weight of one boll (BW); lint percentage (LP); cotton seed yield (CSY); and cotton fiber yield (LY). Significant genetic variability was observed for all the traits studied, which is fundamental for the formation of populations that maximize genetic gains. Additive effects were predominant for AFF, AFB, PH, and LP. Non-additive effects were predominant for CSY, LY, and BW. Genotypes FM 993 and CNPA 04-2080 presented the highest GCA estimates for CSY, LP, and LY, as well as the highest means, being indicated for breeding programs that aim at the improvement of these traits. The best hybrid combinations were FM 993 x PSC 355, FM 993 x TAMCOT-CAMD-E, CNPA 04-2080 x TAM B 139-17, PSC 355 x IAC 26, and TAM B 139-17 x IAC 26, since they presented means associated with positive and high SCA estimates for CSY, LP, LY, and at least one of their parents presented high GCA. MenosThis study aimed to estimate the general- (GCA) and specific-combining ability (SCA) and obtain information on the genetic control of agronomic traits among six upland cotton genotypes and their hybrid combinations. In 2015, six cotton genotypes (FM 993, CNPA 04-2080, PSC 355, TAM B 139-17, IAC 26, and TAMCOT-CAMD-E), and fifteen hybrid combinations were evaluated at the Experimental Station of Embrapa Algodão. The experiment consisted of a randomized block design with three replications. The characteristics evaluated were: the appearance of the first flower (AFF); the appearance of the Genetics and Molecular Research 16 (3): gmr16039677 first boll (AFB); plant height (PH); the weight of one boll (BW); lint percentage (LP); cotton seed yield (CSY); and cotton fiber yield (LY). Significant genetic variability was observed for all the traits studied, which is fundamental for the formation of populations that maximize genetic gains. Additive effects were predominant for AFF, AFB, PH, and LP. Non-additive effects were predominant for CSY, LY, and BW. Genotypes FM 993 and CNPA 04-2080 presented the highest GCA estimates for CSY, LP, and LY, as well as the highest means, being indicated for breeding programs that aim at the improvement of these traits. The best hybrid combinations were FM 993 x PSC 355, FM 993 x TAMCOT-CAMD-E, CNPA 04-2080 x TAM B 139-17, PSC 355 x IAC 26, and TAM B 139-17 x IAC 26, since they presented means associated with positive and high SCA estimates for CSY... Mostrar Tudo |
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Palavras-Chave: |
Cotton fibers; Earliness; Fibers. |
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Thesagro: |
Algodão; Gossypium hirsutum. |
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Thesaurus Nal: |
Cotton. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/169758/1/Diallel-analysis-zones-in-Brazil.pdf
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Marc: |
LEADER 02311naa a2200265 a 4500
001 2083452
005 2018-01-19
008 2017 bl uuuu u00u1 u #d
100 1 $aQUEIROZ, R. R.
245 $aDiallel analysis for agronomic traits in upland cotton in semi-arid zones in Brazil.$h[electronic resource]
260 $c2017
520 $aThis study aimed to estimate the general- (GCA) and specific-combining ability (SCA) and obtain information on the genetic control of agronomic traits among six upland cotton genotypes and their hybrid combinations. In 2015, six cotton genotypes (FM 993, CNPA 04-2080, PSC 355, TAM B 139-17, IAC 26, and TAMCOT-CAMD-E), and fifteen hybrid combinations were evaluated at the Experimental Station of Embrapa Algodão. The experiment consisted of a randomized block design with three replications. The characteristics evaluated were: the appearance of the first flower (AFF); the appearance of the Genetics and Molecular Research 16 (3): gmr16039677 first boll (AFB); plant height (PH); the weight of one boll (BW); lint percentage (LP); cotton seed yield (CSY); and cotton fiber yield (LY). Significant genetic variability was observed for all the traits studied, which is fundamental for the formation of populations that maximize genetic gains. Additive effects were predominant for AFF, AFB, PH, and LP. Non-additive effects were predominant for CSY, LY, and BW. Genotypes FM 993 and CNPA 04-2080 presented the highest GCA estimates for CSY, LP, and LY, as well as the highest means, being indicated for breeding programs that aim at the improvement of these traits. The best hybrid combinations were FM 993 x PSC 355, FM 993 x TAMCOT-CAMD-E, CNPA 04-2080 x TAM B 139-17, PSC 355 x IAC 26, and TAM B 139-17 x IAC 26, since they presented means associated with positive and high SCA estimates for CSY, LP, LY, and at least one of their parents presented high GCA.
650 $aCotton
650 $aAlgodão
650 $aGossypium hirsutum
653 $aCotton fibers
653 $aEarliness
653 $aFibers
700 1 $aFARIAS, F. J. C.
700 1 $aCARVALHO, L. P. de
700 1 $aNEDER, D. G.
700 1 $aSOUZA, L. S. S.
700 1 $aFARIAS, F. C.
700 1 $aTEODORO, P. E.
773 $tGenetics and Molecular Research, V. 16, N. 3, gmr16039677, 2017.
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Registro original: |
Embrapa Algodão (CNPA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
26/01/2011 |
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Data da última atualização: |
05/03/2013 |
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Tipo da produção científica: |
Software |
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Autoria: |
SPERANZA, E. A.; OLIVEIRA, A. F. de; POZZATO, G. H. G. |
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Afiliação: |
EDUARDO ANTONIO SPERANZA, CNPTIA; ARYEVERTON FORTES DE OLIVEIRA, CNPTIA; GUILHERME HENRIQIUE GOULART POZZATO, Estagiário UNICAMP, CNPTIA. |
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Título: |
Sistema de Informações Geográficas Web para disponibilização de imagens de satélite para monitoramento da safra de cana-de-açúcar - (WebGIS-SafraCana). Versão 1.0. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
Campinas: Embrapa Informática Agropecuária, 2010. |
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Descrição Física: |
1 CD-ROM. |
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Idioma: |
Português |
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Conteúdo: |
Sistema de Informações Geográficas para Web, que permite o upload de imagens de satélite em conjunto com arquivo de metadados em formato gerado pelo software ArcView (ArcCatalog). O sistema verifica a localização da imagem por meio do retângulo envolvente informado nos metadados, e disponibiliza a mesma em uma árvore de temas seguindo a hierarquia de estado, mesorregião, microrregião e município. |
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Palavras-Chave: |
Geographical information systems; Imagens de satélite; Metadados; Sistema de Informações Geográficas; Software; Software ArcView. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01156nam a2200217 a 4500
001 1874444
005 2013-03-05
008 2010 bl uuuu u0uu1 u #d
100 1 $aSPERANZA, E. A.
245 $aSistema de Informações Geográficas Web para disponibilização de imagens de satélite para monitoramento da safra de cana-de-açúcar - (WebGIS-SafraCana). Versão 1.0.
260 $aCampinas: Embrapa Informática Agropecuária$c2010
300 $c1 CD-ROM.
520 $aSistema de Informações Geográficas para Web, que permite o upload de imagens de satélite em conjunto com arquivo de metadados em formato gerado pelo software ArcView (ArcCatalog). O sistema verifica a localização da imagem por meio do retângulo envolvente informado nos metadados, e disponibiliza a mesma em uma árvore de temas seguindo a hierarquia de estado, mesorregião, microrregião e município.
653 $aGeographical information systems
653 $aImagens de satélite
653 $aMetadados
653 $aSistema de Informações Geográficas
653 $aSoftware
653 $aSoftware ArcView
700 1 $aOLIVEIRA, A. F. de
700 1 $aPOZZATO, G. H. G.
Download
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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