Portal do Governo Brasileiro
BDPA - Bases de Dados da Pesquisa Agropecuária Embrapa
 






Registro Completo
Biblioteca(s):  Embrapa Gado de Corte; Embrapa Milho e Sorgo.
Data corrente:  26/01/2017
Data da última atualização:  15/03/2017
Tipo da produção científica:  Artigo em Periódico Indexado
Autoria:  SIMEÃO, R. M.; ASSIS, G. M. L.; MONTAGNER, D. B.; FERREIRA, R. C. U.
Afiliação:  ROSANGELA MARIA SIMEAO RESENDE, CNPGC; GISELLE MARIANO LESSA DE ASSIS, CPAF-Acre; DENISE BAPTAGLIN MONTAGNER, CNPGC; Instituto de Biologia, Universidade de Campinas.
Título:  Forage peanut (Arachis spp.) genetic evaluation and selection.
Ano de publicação:  2016
Fonte/Imprenta:  Grass and Forage Science, New Jersey, p. 1-11, July 2016. Disponível em: . Acesso em: 26 set. 2016.
DOI:  10.1111/gfs.12242.
Idioma:  Inglês
Conteúdo:  Forage peanut improvement for use in grass?legume mixtures is expected to have a great impact on the sustainability of Brazilian livestock production. Eighteen cloned Arachis spp. ecotypes were evaluated under clipping in a Brazilian Cerrado region and results analysed using a mixed model methodology. The objective was to estimate genetic and phenotypic parameters and to select the best ecotypes based on selection index applied on their predicted genotypic value. The traits of total dry-matter (DM) and leaf DM yield presented moderate (0_30 < h2g < 0_50) to high (>0_50) broad-sense heritability, in contrast to the low genetic variability in nutritional quality-associated traits. Ecotypes of Arachis spp. contained average crude protein concentrations of 224 g kg _1 DM in leaves and 138 g kg _1 DM in stems, supporting the potential role of these species to overcome the low protein content in Cerrado pastures. The correlations between yield traits and traits associated with low nutritional value in leaves were consistently significant and positive. Genetic correlations among all the yield traits evaluated during the rainy or dry seasons were significant and positive. The ecotypes were ranked based on selection index. The next step is to validate long-term selection of grass?Arachis in combination with pastures under competition and adjusted grazing in the Cerrado region.
Palavras-Chave:  Amendoim forrageiro; Paraêmtro fenotípico.
Thesagro:  Cerrado; Leguminosa forrageira; Parâmetro genético; Pastagem.
Thesaurus Nal:  Arachis pintoi.
Categoria do assunto:  G Melhoramento Genético
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/item/154020/1/Forage-peanut-arachis-spp..pdf
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Gado de Corte (CNPGC)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status URL
CNPGC16696 - 1UPCAP - DD
CNPMS27712 - 1UPCAP - DD
Voltar






Registro Completo

Biblioteca(s):  Embrapa Recursos Genéticos e Biotecnologia; Embrapa Soja.
Data corrente:  18/06/2012
Data da última atualização:  03/03/2023
Tipo da produção científica:  Artigo em Periódico Indexado
Circulação/Nível:  A - 2
Autoria:  NEVES-BORGES, A. C.; GUIMARÃES-DIAS, F.; CRUZ, F.; MESQUITA, R. O.; NEPOMUCENO, A. L.; ROMANO, E.; LOUREIRO, M. E.; GROSSI-DE-SÁ, M. de F.; ALVES-FERREIRA, M.
Afiliação:  ANNA CRISTINA NEVES BORGES, UFRJ; FÁBIA GUIMARÃES DIAS, UNIRIO; FERNANDA CRUZ, UNIRIO; ROSILENE OLIVEIRA MESQUITA, UFV; ALEXANDRE LIMA NEPOMUCENO, SRI; EDUARDO ROMANO DE CAMPOS PINTO, CENARGEN; MARCELO EHLERS LOUREIRO, UFV; MARIA FATIMA GROSSI DE SA, CENARGEN; MÁRCIO ALVES-FERREIRA, UNIRIO.
Título:  Expression pattern of drought stress marker genes in soybean roots under two water deficit systems.
Ano de publicação:  2012
Fonte/Imprenta:  Genetics and Molecular Biology, Ribeirão Preto, v. 35, n. 1, suppl., p. 212-221, May 2012.
Idioma:  Inglês
Conteúdo:  The study of tolerance mechanisms for drought stress in soybean is fundamental to the understanding and development of tolerant varieties. Using in silico analysis, four marker genes involved in the classical ABA-dependent and ABA-independent pathways of drought response were identified in the Glycine max genome in the present work. The expression profiles of the marker genes ERD1-like, GmaxRD20A-like, GmaxRD22-like and GmaxRD29B-like were investigated by qPCR in root samples of drought sensitive and tolerant soybean cultivars (BR 16 and Embrapa 48, respectively), submitted to water deficit conditions in hydroponic and pot-based systems. Among the four putative soybean homologs to Arabidopsis genes investigated herein, onlyGmaxRD29B-like was not regulated by water deficit stress. Distinct expression profiles and different induction levels were observed among the genes, as well as between the two drought-inducing systems. Our results showed contrasting gene expression responses for the GmaxRD20A-like and GmaxRD22-like genes. GmaxRD20A-like was highly induced by continuous drought acclimating conditions, whereas GmaxRD22-like responses decreased after abrupt water deprivation. GmaxERD1-like showed a different expression profile for the cultivars in each system. Conversely, GmaxRD20A-like and GmaxRD22-like genes exhibited similar expression levels in tolerant plants in both systems.
Palavras-Chave:  Drought adaptation; Drougth adaptation; Estresse hídrico; Marker genes.
Thesagro:  Deficiência hídrica; Gene; Genoma; Marcador genético; Resistência a seca; Soja.
Thesaurus NAL:  Drought tolerance; Genes; Genome; Plant-water relations; Soybeans.
Categoria do assunto:  G Melhoramento Genético
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/item/61067/1/gmb.expression.v35n1s.212-221.2012.pdf
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Recursos Genéticos e Biotecnologia (CENARGEN)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status
CENARGEN34270 - 1UPCAP - DDSP 20362SP 20362
CNPSO33162 - 1UPCAP - PP
Fechar
Nenhum registro encontrado para a expressão de busca informada.
 
 

Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área Restrita

Embrapa Agricultura Digital
Av. André Tosello, 209 - Barão Geraldo
Caixa Postal 6041- 13083-886 - Campinas, SP
SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional