| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Algodão. |
|
Data corrente: |
21/02/2017 |
|
Data da última atualização: |
21/02/2017 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
SILVA, R A. da; RAMOS, J. P. C.; LUZ, L. N. da; CAVALCANTI, J. J. V.; LIMA, L. M. de; FREIRE, R. M. M.; SILVA, C. R. C. da; SANTOS, R. C. dos. |
|
Afiliação: |
RICARDO ALVES DA SILVA, UFPB; JEAN PIERRE CORDEIRO RAMOS, UFPB; LUCAS NUNES DA LUZ, Universidade Federal do Cariri; JOSE JAIME VASCONCELOS CAVALCANTI, CNPA; LIZIANE MARIA DE LIMA, CNPA; ROSA MARIA MENDES FREIRE, CNPA; CARLIANE REBECA COELHO DA SILVA, RENORBIO; ROSEANE CAVALCANTI DOS SANTOS, CNPA. |
|
Título: |
Assessment of genetic divergence in runner peanut genotypes grown in the Brazilian Northeast environments. |
|
Ano de publicação: |
2016 |
|
Fonte/Imprenta: |
African Journal of Agricultural Research, v. 11, n. 16, p. 1456-1462, Apr. 2016. |
|
Idioma: |
Inglês |
|
Conteúdo: |
Runner cultivars are widely demanded by peanut farmers because of their high oil and grain productions. As those are late cycles, the management is limited in environments with water restriction.For improvement of runner genotypes to these environments is necessary to identify genotypes adapted and the knowledge of genetic divergence is quite relevant to assist the breeding procedures. In this work, ten morphological and agronomic traits were measured on 13 runner peanut genotypes grown in sandy loam textured soils during the rainy season in three environments on Brazilian Northeast region. These measurements included harvest index (%), main stem height (cm), 100 seed weight, 100 pod weight, pod length (mm), number of pod/plant, blooming (days after emergence, dae), number of seed/plant, physiological maturation of pods (dae) and oil content in seeds (%). The genetic divergence of genotypes was estimated by multivariate methods. data set was analyzed by canonical variable (CV) in combination with UPGMA-clustering analyses. The statistical analysis was performed using the GENES program. We found that the first two CV were significant and accounted for 82.13% of the total variation. Three groups were clearly formed, separated by earliness and pod production. This arrangement was further attested by the dendrogram generated by UPGMA. The CV indicated that physiological maturation of pods, main stem height, number of pods/plant and 100 seed weight were the most differentiating traits among the genotypes. These two last allowed high magnitude associations and were contributive to selection procedures in improvement works. We provide indications of the best genotypes with potential to generate robust progenies, in a peanut breeding program. MenosRunner cultivars are widely demanded by peanut farmers because of their high oil and grain productions. As those are late cycles, the management is limited in environments with water restriction.For improvement of runner genotypes to these environments is necessary to identify genotypes adapted and the knowledge of genetic divergence is quite relevant to assist the breeding procedures. In this work, ten morphological and agronomic traits were measured on 13 runner peanut genotypes grown in sandy loam textured soils during the rainy season in three environments on Brazilian Northeast region. These measurements included harvest index (%), main stem height (cm), 100 seed weight, 100 pod weight, pod length (mm), number of pod/plant, blooming (days after emergence, dae), number of seed/plant, physiological maturation of pods (dae) and oil content in seeds (%). The genetic divergence of genotypes was estimated by multivariate methods. data set was analyzed by canonical variable (CV) in combination with UPGMA-clustering analyses. The statistical analysis was performed using the GENES program. We found that the first two CV were significant and accounted for 82.13% of the total variation. Three groups were clearly formed, separated by earliness and pod production. This arrangement was further attested by the dendrogram generated by UPGMA. The CV indicated that physiological maturation of pods, main stem height, number of pods/plant and 100 seed weight were the most differentiating t... Mostrar Tudo |
|
Palavras-Chave: |
Arachis hypogea L; Canonical variables; Traits associations. |
|
Thesagro: |
Amendoim; Genotipo. |
|
Thesaurus Nal: |
Breeding. |
|
Categoria do assunto: |
-- |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/156280/1/Assessment-of-genetic-divergence-Peanut.pdf
|
|
Marc: |
LEADER 02611naa a2200277 a 4500
001 2064942
005 2017-02-21
008 2016 bl uuuu u00u1 u #d
100 1 $aSILVA, R A. da
245 $aAssessment of genetic divergence in runner peanut genotypes grown in the Brazilian Northeast environments.$h[electronic resource]
260 $c2016
520 $aRunner cultivars are widely demanded by peanut farmers because of their high oil and grain productions. As those are late cycles, the management is limited in environments with water restriction.For improvement of runner genotypes to these environments is necessary to identify genotypes adapted and the knowledge of genetic divergence is quite relevant to assist the breeding procedures. In this work, ten morphological and agronomic traits were measured on 13 runner peanut genotypes grown in sandy loam textured soils during the rainy season in three environments on Brazilian Northeast region. These measurements included harvest index (%), main stem height (cm), 100 seed weight, 100 pod weight, pod length (mm), number of pod/plant, blooming (days after emergence, dae), number of seed/plant, physiological maturation of pods (dae) and oil content in seeds (%). The genetic divergence of genotypes was estimated by multivariate methods. data set was analyzed by canonical variable (CV) in combination with UPGMA-clustering analyses. The statistical analysis was performed using the GENES program. We found that the first two CV were significant and accounted for 82.13% of the total variation. Three groups were clearly formed, separated by earliness and pod production. This arrangement was further attested by the dendrogram generated by UPGMA. The CV indicated that physiological maturation of pods, main stem height, number of pods/plant and 100 seed weight were the most differentiating traits among the genotypes. These two last allowed high magnitude associations and were contributive to selection procedures in improvement works. We provide indications of the best genotypes with potential to generate robust progenies, in a peanut breeding program.
650 $aBreeding
650 $aAmendoim
650 $aGenotipo
653 $aArachis hypogea L
653 $aCanonical variables
653 $aTraits associations
700 1 $aRAMOS, J. P. C.
700 1 $aLUZ, L. N. da
700 1 $aCAVALCANTI, J. J. V.
700 1 $aLIMA, L. M. de
700 1 $aFREIRE, R. M. M.
700 1 $aSILVA, C. R. C. da
700 1 $aSANTOS, R. C. dos
773 $tAfrican Journal of Agricultural Research$gv. 11, n. 16, p. 1456-1462, Apr. 2016.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Algodão (CNPA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Recursos Genéticos e Biotecnologia. Para informações adicionais entre em contato com cenargen.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Recursos Genéticos e Biotecnologia. |
|
Data corrente: |
07/05/2010 |
|
Data da última atualização: |
31/08/2023 |
|
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
|
Autoria: |
SILVA, T. C.; BERGER, P. A.; ARRIAL, R. T.; TOGAWA, R. C.; BRIGIDO, M. M.; WALTER, M. E. M. T. |
|
Afiliação: |
TULIO C. SILVA, UnB; PEDRO A. BERGER, UnB; ROBERTO T. ARRIAL, UnB; ROBERTO COITI TOGAWA, CENARGEN; MARCELO M. BRIGIDO, UnB; MARIA EMILIA M. T. WALTER, UnB. |
|
Título: |
Son-portrait: identifying non-coding RNAs using self-organizing maps. |
|
Ano de publicação: |
2009 |
|
Fonte/Imprenta: |
In: GUIMARÃES, K. S.; PANCHENKO, A.; PRZYTYCKA, T. M. (Ed.). Advances in Bioinformatics and Computational Biology. New York: Springer Berlin/Heidelberg, 2009. |
|
Páginas: |
p. 73-85 |
|
Idioma: |
Inglês |
|
Palavras-Chave: |
Bioinformática; Identifying; Self-organizing maps. |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 00736naa a2200217 a 4500
001 1749142
005 2023-08-31
008 2009 bl uuuu u00u1 u #d
100 1 $aSILVA, T. C.
245 $aSon-portrait$bidentifying non-coding RNAs using self-organizing maps.$h[electronic resource]
260 $c2009
300 $ap. 73-85
653 $aBioinformática
653 $aIdentifying
653 $aSelf-organizing maps
700 1 $aBERGER, P. A.
700 1 $aARRIAL, R. T.
700 1 $aTOGAWA, R. C.
700 1 $aBRIGIDO, M. M.
700 1 $aWALTER, M. E. M. T.
773 $tIn: GUIMARÃES, K. S.; PANCHENKO, A.; PRZYTYCKA, T. M. (Ed.). Advances in Bioinformatics and Computational Biology. New York: Springer Berlin/Heidelberg, 2009.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Expressão de busca inválida. Verifique!!! |
|
|
