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Registro Completo |
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Biblioteca(s): |
Embrapa Algodão. |
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Data corrente: |
25/05/2018 |
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Data da última atualização: |
20/03/2019 |
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Tipo da produção científica: |
Documentos |
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Autoria: |
ALMEIDA, R. P. de; BEZERRA, J. R. C.; COSTA, F. de M.; RESENDE, K. C. |
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Afiliação: |
RAUL PORFIRIO DE ALMEIDA, CNPA; JOSE RENATO CORTEZ BEZERRA, CNPA; FERNANDO DE MELO COSTA; KALLIENNY COSTA RESENDE. |
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Título: |
Relatório técnico da cooperação Embrapa Algodão/COFCO Brasil S.A: produção de amendoim irrigado em Petrolândia, PE. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Campina Grande, PB: Embrapa Algodão, 2018. |
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Páginas: |
32 p. |
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Série: |
(Embrapa Algodão. Documentos, 272). |
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ISSN: |
0103-0205 |
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Idioma: |
Português |
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Conteúdo: |
Este projeto de pesquisa visou identificar tecnologias sustentáveis para os agricultores familiares, de forma a oferecer subsídios técnicos para produção eficiente de amendoim. Assim, foram realizados estudos sobre a resposta da adubação e manejo da irrigação em diferentes preparos de solo e a identificação das principais pragas-chave e seus efeitos sobre a cultura do amendoim. |
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Thesagro: |
Amendoim; Manejo do Solo; Sistema de Produção. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/178000/1/DOC272-on-line.pdf
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Marc: |
LEADER 01078nam a2200217 a 4500
001 2091975
005 2019-03-20
008 2018 bl uuuu u0uu1 u #d
022 $a0103-0205
100 1 $aALMEIDA, R. P. de
245 $aRelatório técnico da cooperação Embrapa Algodão/COFCO Brasil S.A$bprodução de amendoim irrigado em Petrolândia, PE.$h[electronic resource]
260 $aCampina Grande, PB: Embrapa Algodão$c2018
300 $a32 p.
490 $a(Embrapa Algodão. Documentos, 272).
520 $aEste projeto de pesquisa visou identificar tecnologias sustentáveis para os agricultores familiares, de forma a oferecer subsídios técnicos para produção eficiente de amendoim. Assim, foram realizados estudos sobre a resposta da adubação e manejo da irrigação em diferentes preparos de solo e a identificação das principais pragas-chave e seus efeitos sobre a cultura do amendoim.
650 $aAmendoim
650 $aManejo do Solo
650 $aSistema de Produção
700 1 $aBEZERRA, J. R. C.
700 1 $aCOSTA, F. de M.
700 1 $aRESENDE, K. C.
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Registro original: |
Embrapa Algodão (CNPA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Florestas; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
20/11/2017 |
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Data da última atualização: |
20/11/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
MÜLLER, B. S. F.; NEVES, L. G.; ALMEIDA FILHO, J. E. de; RESENDE JUNIOR, M. F. R.; MUÑOZ, P. R.; SANTOS, P. E. T. dos; PALUDZYSZYN FILHO, E.; KIRST, M.; GRATTAPAGLIA, D. |
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Afiliação: |
Bárbara S. F. Müller, UnB; Leandro G. Neves, RAPiD Genomics LLC; Janeo E. de Almeida Filho, University of Florida; Márcio F. R. Resende Junior, RAPiD Genomics LLC; Patricio R. Muñoz, University of Florida; PAULO EDUARDO TELLES DOS SANTOS, CNPF; ESTEFANO PALUDZYSZYN FILHO, CNPF; Matias Kirst, University of Florida; DARIO GRATTAPAGLIA, Cenargen. |
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Título: |
Genomic prediction in contrast to a genome-wide association study in explaining heritable variation of complex growth traits in breeding populations of Eucalyptus. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
BMC Genomics, v. 18, article 524, 2017. 17 p. |
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DOI: |
10.1186/s12864-017-3920-2 |
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Idioma: |
Inglês
Português |
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Conteúdo: |
Background: The advent of high-throughput genotyping technologies coupled to genomic prediction methods established a new paradigm to integrate genomics and breeding. We carried out whole-genome prediction and contrasted it to a genome-wide association study (GWAS) for growth traits in breeding populations of Eucalyptus benthamii (n =505) and Eucalyptus pellita (n =732). Both species are of increasing commercial interest for the development of germplasm adapted to environmental stresses. Results: Predictive ability reached 0.16 in E. benthamii and 0.44 in E. pellita for diameter growth. Predictive abilities using either Genomic BLUP or different Bayesian methods were similar, suggesting that growth adequately fits the infinitesimal model. Genomic prediction models using ~5000?10,000 SNPs provided predictive abilities equivalent to using all 13,787 and 19,506 SNPs genotyped in the E. benthamii and E. pellita populations, respectively. No difference was detected in predictive ability when different sets of SNPs were utilized, based on position (equidistantly genome-wide, inside genes, linkage disequilibrium pruned or on single chromosomes), as long as the total number of SNPs used was above ~5000. Predictive abilities obtained by removing relatedness between training and validation sets fell near zero for E. benthamii and were halved for E. pellita. These results corroborate the current view that relatedness is the main driver of genomic prediction, although some short-range historical linkage disequilibrium (LD) was likely captured for E. pellita. A GWAS identified only one significant association for volume growth in E. pellita, illustrating the fact that while genome-wide regression is able to account for large proportions of the heritability, very little or none of it is captured into significant associations using GWAS in breeding populations of the size evaluated in this study. Conclusions: This study provides further experimental data supporting positive prospects of using genome-wide data to capture large proportions of trait heritability and predict growth traits in trees with accuracies equal or better than those attainable by phenotypic selection. Additionally, our results document the superiority of the whole-genome regression approach in accounting for large proportions of the heritability of complex traits such as growth in contrast to the limited value of the local GWAS approach toward breeding applications in forest trees. MenosBackground: The advent of high-throughput genotyping technologies coupled to genomic prediction methods established a new paradigm to integrate genomics and breeding. We carried out whole-genome prediction and contrasted it to a genome-wide association study (GWAS) for growth traits in breeding populations of Eucalyptus benthamii (n =505) and Eucalyptus pellita (n =732). Both species are of increasing commercial interest for the development of germplasm adapted to environmental stresses. Results: Predictive ability reached 0.16 in E. benthamii and 0.44 in E. pellita for diameter growth. Predictive abilities using either Genomic BLUP or different Bayesian methods were similar, suggesting that growth adequately fits the infinitesimal model. Genomic prediction models using ~5000?10,000 SNPs provided predictive abilities equivalent to using all 13,787 and 19,506 SNPs genotyped in the E. benthamii and E. pellita populations, respectively. No difference was detected in predictive ability when different sets of SNPs were utilized, based on position (equidistantly genome-wide, inside genes, linkage disequilibrium pruned or on single chromosomes), as long as the total number of SNPs used was above ~5000. Predictive abilities obtained by removing relatedness between training and validation sets fell near zero for E. benthamii and were halved for E. pellita. These results corroborate the current view that relatedness is the main driver of genomic prediction, although some short-range h... Mostrar Tudo |
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Palavras-Chave: |
Espécie exótica; Genomic selection; GWAS; Seleção genômica; SNP genotyping. |
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Thesagro: |
Eucalipto; Melhoramento genético vegetal. |
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Thesaurus NAL: |
Eucalyptus benthamii; Eucalyptus pellita; genetic relationships; marker-assisted selection; plant breeding. |
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Categoria do assunto: |
--
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/166929/1/2017-PauloE-BMCG-Genomic-prediction.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/181027/1/s12864-017-3920-2.pdf
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Marc: |
LEADER 03672naa a2200373 a 4500
001 2080081
005 2017-11-20
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1186/s12864-017-3920-2$2DOI
100 1 $aMÜLLER, B. S. F.
245 $aGenomic prediction in contrast to a genome-wide association study in explaining heritable variation of complex growth traits in breeding populations of Eucalyptus.$h[electronic resource]
260 $c2017
520 $aBackground: The advent of high-throughput genotyping technologies coupled to genomic prediction methods established a new paradigm to integrate genomics and breeding. We carried out whole-genome prediction and contrasted it to a genome-wide association study (GWAS) for growth traits in breeding populations of Eucalyptus benthamii (n =505) and Eucalyptus pellita (n =732). Both species are of increasing commercial interest for the development of germplasm adapted to environmental stresses. Results: Predictive ability reached 0.16 in E. benthamii and 0.44 in E. pellita for diameter growth. Predictive abilities using either Genomic BLUP or different Bayesian methods were similar, suggesting that growth adequately fits the infinitesimal model. Genomic prediction models using ~5000?10,000 SNPs provided predictive abilities equivalent to using all 13,787 and 19,506 SNPs genotyped in the E. benthamii and E. pellita populations, respectively. No difference was detected in predictive ability when different sets of SNPs were utilized, based on position (equidistantly genome-wide, inside genes, linkage disequilibrium pruned or on single chromosomes), as long as the total number of SNPs used was above ~5000. Predictive abilities obtained by removing relatedness between training and validation sets fell near zero for E. benthamii and were halved for E. pellita. These results corroborate the current view that relatedness is the main driver of genomic prediction, although some short-range historical linkage disequilibrium (LD) was likely captured for E. pellita. A GWAS identified only one significant association for volume growth in E. pellita, illustrating the fact that while genome-wide regression is able to account for large proportions of the heritability, very little or none of it is captured into significant associations using GWAS in breeding populations of the size evaluated in this study. Conclusions: This study provides further experimental data supporting positive prospects of using genome-wide data to capture large proportions of trait heritability and predict growth traits in trees with accuracies equal or better than those attainable by phenotypic selection. Additionally, our results document the superiority of the whole-genome regression approach in accounting for large proportions of the heritability of complex traits such as growth in contrast to the limited value of the local GWAS approach toward breeding applications in forest trees.
650 $aEucalyptus benthamii
650 $aEucalyptus pellita
650 $agenetic relationships
650 $amarker-assisted selection
650 $aplant breeding
650 $aEucalipto
650 $aMelhoramento genético vegetal
653 $aEspécie exótica
653 $aGenomic selection
653 $aGWAS
653 $aSeleção genômica
653 $aSNP genotyping
700 1 $aNEVES, L. G.
700 1 $aALMEIDA FILHO, J. E. de
700 1 $aRESENDE JUNIOR, M. F. R.
700 1 $aMUÑOZ, P. R.
700 1 $aSANTOS, P. E. T. dos
700 1 $aPALUDZYSZYN FILHO, E.
700 1 $aKIRST, M.
700 1 $aGRATTAPAGLIA, D.
773 $tBMC Genomics$gv. 18, article 524, 2017. 17 p.
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Registro original: |
Embrapa Florestas (CNPF) |
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