| |
|
|
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Cerrados. |
|
Data corrente: |
23/12/1998 |
|
Data da última atualização: |
23/12/1998 |
|
Autoria: |
AYARZA, M. A.; VILELA, L.; BARCELLOS, A. de O.; BALBINO, L. C.; BROSSARD, M.; PASINI, A. |
|
Título: |
Integration culture-elevage dans les cerrados au Brasil: une solution pour des systemes durables. |
|
Ano de publicação: |
1998 |
|
Fonte/Imprenta: |
Agriculture et Developpement, Montpellier, n.18, p.91-98, juin 1998. |
|
Idioma: |
Francês |
|
Conteúdo: |
The current, meat and milk production systems in the Cerrado are faced with growing economic and production problems. One way of improving output whilst maintaining even improving soil quality is to integrate livestock rearing cereal production on the same farm, for instance by rotating annual crops and prairies, and combining it with pasture renewal or recovery. This work describes trials conducted on farms and the possibilities offered by combining short-cycle crops with livestock rearing. The examples are chosen so as to illustrate the range of different soils (latosols of various textures). |
|
Palavras-Chave: |
Production system; Sustainability; Sustentabilidade. |
|
Thesagro: |
Agricultura; Cerrado; Leguminosa; Pecuária; Sistema de Produção. |
|
Thesaurus Nal: |
agriculture; animal husbandry; farming systems; legumes. |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 01498naa a2200325 a 4500
001 1544278
005 1998-12-23
008 1998 bl --- 0-- u #d
100 1 $aAYARZA, M. A.
245 $aIntegration culture-elevage dans les cerrados au Brasil$bune solution pour des systemes durables.
260 $c1998
520 $aThe current, meat and milk production systems in the Cerrado are faced with growing economic and production problems. One way of improving output whilst maintaining even improving soil quality is to integrate livestock rearing cereal production on the same farm, for instance by rotating annual crops and prairies, and combining it with pasture renewal or recovery. This work describes trials conducted on farms and the possibilities offered by combining short-cycle crops with livestock rearing. The examples are chosen so as to illustrate the range of different soils (latosols of various textures).
650 $aagriculture
650 $aanimal husbandry
650 $afarming systems
650 $alegumes
650 $aAgricultura
650 $aCerrado
650 $aLeguminosa
650 $aPecuária
650 $aSistema de Produção
653 $aProduction system
653 $aSustainability
653 $aSustentabilidade
700 1 $aVILELA, L.
700 1 $aBARCELLOS, A. de O.
700 1 $aBALBINO, L. C.
700 1 $aBROSSARD, M.
700 1 $aPASINI, A.
773 $tAgriculture et Developpement, Montpellier$gn.18, p.91-98, juin 1998.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Cerrados (CPAC) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Arroz e Feijão. Para informações adicionais entre em contato com cnpaf.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Arroz e Feijão. |
|
Data corrente: |
04/10/2021 |
|
Data da última atualização: |
08/12/2021 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
MORAIS JÚNIOR, O. P.; BRESEGHELLO, F.; DUARTE, J. B.; COELHO, A. S. G.; BORBA, T. C. O.; AGUIAR, J. T.; NEVES, P. C. F.; MORAIS, O. P. |
|
Afiliação: |
ODILON PEIXOTO MORAIS JUNIOR, UFG; FLAVIO BRESEGHELLO, CNPAF; JOAO BATISTA DUARTE, UFG; ALEXANDRE S. G. COELHO, UFG; TEREZA CRISTINA DE OLIVEIRA BORBA, CNPAF; JORDENE T. AGUIAR; PERICLES DE CARVALHO FERREIRA NEVES, CNPAF; ORLANDO PEIXOTO DE MORAIS, CNPAF. |
|
Título: |
Assessing prediction models for different traits in a rice population derived from a Recurrent Selection Program. |
|
Ano de publicação: |
2018 |
|
Fonte/Imprenta: |
Crop Science, v. 58, n. 6, p. 2347-2359, Nov./Dec. 2018. |
|
ISSN: |
0011-183X |
|
DOI: |
https://doi.org/10.2135/cropsci2018.02.0087 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Genomic selection (GS) is a promising approach to improve rice (Oryza sativa L.) populations by using genome-wide markers for selection prior to phenotyping to estimate breeding values. In this study, our objectives were to compare certain prediction models with different struc-tures of genetic relationship and statistical approaches for relevant traits in rice and to discuss some implications for integrating GS into a recurrent selection program of irrigated rice. We assessed nine models in terms of predictive potential, using empirical data from S1:3 progenies phenotyped for eight traits with different heritabilities and genotyped with 6174 high-quality single nucleotide polymorphism markers. For all traits, marker-based models outperformed prediction based on pedigree records alone. A similar level of accuracy was observed for many models, although the level of prediction stability and prediction bias varied widely. Random forest was slightly superior for less complex traits, although with high predic-tion bias, whereas the semiparametric RKHS method (reproducing kernel Hilbert spaces) was superior for many traits, showing high stability and low bias. Bayesian variable selec-tion method Bayes Cp showed acceptable accuracy and stability for several traits and thus could be useful for genomic prediction aiming at persisting accuracy for a long-term recurrent selection. |
|
Thesagro: |
Arroz; Melhoramento Genético Vegetal; Oryza Sativa; Seleção Recorrente. |
|
Thesaurus NAL: |
Plant breeding; Recurrent selection; Rice. |
|
Categoria do assunto: |
G Melhoramento Genético |
|
Marc: |
LEADER 02349naa a2200313 a 4500
001 2135012
005 2021-12-08
008 2018 bl uuuu u00u1 u #d
022 $a0011-183X
024 7 $ahttps://doi.org/10.2135/cropsci2018.02.0087$2DOI
100 1 $aMORAIS JÚNIOR, O. P.
245 $aAssessing prediction models for different traits in a rice population derived from a Recurrent Selection Program.$h[electronic resource]
260 $c2018
520 $aGenomic selection (GS) is a promising approach to improve rice (Oryza sativa L.) populations by using genome-wide markers for selection prior to phenotyping to estimate breeding values. In this study, our objectives were to compare certain prediction models with different struc-tures of genetic relationship and statistical approaches for relevant traits in rice and to discuss some implications for integrating GS into a recurrent selection program of irrigated rice. We assessed nine models in terms of predictive potential, using empirical data from S1:3 progenies phenotyped for eight traits with different heritabilities and genotyped with 6174 high-quality single nucleotide polymorphism markers. For all traits, marker-based models outperformed prediction based on pedigree records alone. A similar level of accuracy was observed for many models, although the level of prediction stability and prediction bias varied widely. Random forest was slightly superior for less complex traits, although with high predic-tion bias, whereas the semiparametric RKHS method (reproducing kernel Hilbert spaces) was superior for many traits, showing high stability and low bias. Bayesian variable selec-tion method Bayes Cp showed acceptable accuracy and stability for several traits and thus could be useful for genomic prediction aiming at persisting accuracy for a long-term recurrent selection.
650 $aPlant breeding
650 $aRecurrent selection
650 $aRice
650 $aArroz
650 $aMelhoramento Genético Vegetal
650 $aOryza Sativa
650 $aSeleção Recorrente
700 1 $aBRESEGHELLO, F.
700 1 $aDUARTE, J. B.
700 1 $aCOELHO, A. S. G.
700 1 $aBORBA, T. C. O.
700 1 $aAGUIAR, J. T.
700 1 $aNEVES, P. C. F.
700 1 $aMORAIS, O. P.
773 $tCrop Science$gv. 58, n. 6, p. 2347-2359, Nov./Dec. 2018.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Expressão de busca inválida. Verifique!!! |
|
|
