| |
|
|
| Registros recuperados : 15 | |
| 1. |  | REIN. T. A.; DUXBURY, J. M. Modeling the soil organic carbon, texture and mineralogy relations in the profile of oxisols from the Brazilian Cerrado. In: SIMPÓSIO NACIONAL CERRADO, 9.; SIMPÓSIO INTERNACIONAL SAVANAS TROPICAIS, 2., 2008, Brasília, DF. Desafios e estratégias para o equilíbrio entre sociedade, agronegócio e recursos naturais: anais... Planaltina, DF: Embrapa Cerrados, 2008. 1 CD-ROM.| Biblioteca(s): Embrapa Cerrados. |
|   |
| 9. | | KLAUSNER, S. D.; SUHET, A. R.; DUXBURY, J. M. Estimating Nitrogen Mineralization in a "Cerrado" Dark-Red Latosol, by Laboratory Incubation, and the Effect of Soil Sample Disturbance. Pesquisa Agropecuária Brasileira, Brasília, V. 25, n.4, p. 617-623, abr.1990| Biblioteca(s): Embrapa Unidades Centrais. |
| |
| 13. | | LADHA, J. K.; HILL, J. E.; DUXBURY, J. M.; GUPTA, R. K.; BURESH, R. J. (ed.). Improving the productivity and sustainability of rice-wheat systems: issues and impacts. Madison: ASA: CSSA: SSSA, 2003. 231 p. (ASA. Special Publication, 65). Proceedings of an international symposium cosponsored by Division A-6 (International Agronomy), the International Rice Research Institute (IRRI), and Centro Internacional de Mejoramiento de Maiz y Trigo (CIMMYT), held at the 2001 Annual...| Biblioteca(s): Embrapa Arroz e Feijão. |
| |
| Registros recuperados : 15 | |
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Florestas. |
|
Data corrente: |
19/12/2014 |
|
Data da última atualização: |
24/08/2015 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
MUNOZ, P. R.; RESENDE JUNIOR, M. F. R.; HUBER, D. A.; QUESADA, T.; RESENDE, M. D. V. de; NEALE, D. B.; WEGRZYN, J. L.; KIRST, M.; PETER, G. F. |
|
Afiliação: |
Patricio R. Munoz, University of Florida; Marcio F. R. Resende Junior, University of Florida; Dudley A. Huber, University of Florida; Tania Quesada, University of Florida; MARCOS DEON VILELA DE RESENDE, CNPF; David B. Neale, University of California; Jill L. Wegrzyn, University of California; Matias Kirst, University of Florida; Gary F. Peter, University of Florida. |
|
Título: |
Genomic relationship matrix for correcting pedigree errors in breeding populations: impact on genetic parameters and genomic selection accuracy. |
|
Ano de publicação: |
2014 |
|
Fonte/Imprenta: |
Crop Science, v. 54, p. 115-1123, May/June 2014. |
|
Idioma: |
Inglês |
|
Conteúdo: |
Quantitative genetic analyses aim to estimate genetic parameters and breeding values to select superior parents, families, and individuals. For these estimates a relationship matrix derived from the pedigree typically is used in a mixed model framework. However, breeding is a complex, multistep process and errors in the pedigree are common. Because errors reduce the accuracy of genetic parameter estimates and affect genetic gain, it is important to correct these errors. Here we show that a realized relationship matrix (RRM) derived from single nucleotide polymorphism markers based on the normality of the relationship coefficients can be used to correct pedigree errors. For a loblolly pine (Pinus taeda L.) breeding population, errors in the pedigree were detected and corrected with the RRM. With the corrected pedigree, best linear unbiased predictor (BLUP) models fit the data significantly better for 14 out of 15 traits evaluated, and the predictive ability of the genomic selection models using ridge regression BLUP increased for 13 traits. The corrected pedigree based on the normality of the relationship coefficients improves accuracy of traditional estimations of heritability and breeding values as well as genomic selection predictions. As more breeding programs begin to use genomic selection, we recommend first using the dense panel of markers to correct pedigree errors and then using the improved information to develop genomic selection prediction models. |
|
Palavras-Chave: |
Genética quantitativa; Melhoramento genético. |
|
Thesagro: |
Parâmetro Genético. |
|
Categoria do assunto: |
-- |
|
URL: |
https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/1003359/1/2014APIDeonGenomicRelationship.pdf
|
|
Marc: |
LEADER 02285naa a2200253 a 4500
001 2003359
005 2015-08-24
008 2014 bl uuuu u00u1 u #d
100 1 $aMUNOZ, P. R.
245 $aGenomic relationship matrix for correcting pedigree errors in breeding populations$bimpact on genetic parameters and genomic selection accuracy.$h[electronic resource]
260 $c2014
520 $aQuantitative genetic analyses aim to estimate genetic parameters and breeding values to select superior parents, families, and individuals. For these estimates a relationship matrix derived from the pedigree typically is used in a mixed model framework. However, breeding is a complex, multistep process and errors in the pedigree are common. Because errors reduce the accuracy of genetic parameter estimates and affect genetic gain, it is important to correct these errors. Here we show that a realized relationship matrix (RRM) derived from single nucleotide polymorphism markers based on the normality of the relationship coefficients can be used to correct pedigree errors. For a loblolly pine (Pinus taeda L.) breeding population, errors in the pedigree were detected and corrected with the RRM. With the corrected pedigree, best linear unbiased predictor (BLUP) models fit the data significantly better for 14 out of 15 traits evaluated, and the predictive ability of the genomic selection models using ridge regression BLUP increased for 13 traits. The corrected pedigree based on the normality of the relationship coefficients improves accuracy of traditional estimations of heritability and breeding values as well as genomic selection predictions. As more breeding programs begin to use genomic selection, we recommend first using the dense panel of markers to correct pedigree errors and then using the improved information to develop genomic selection prediction models.
650 $aParâmetro Genético
653 $aGenética quantitativa
653 $aMelhoramento genético
700 1 $aRESENDE JUNIOR, M. F. R.
700 1 $aHUBER, D. A.
700 1 $aQUESADA, T.
700 1 $aRESENDE, M. D. V. de
700 1 $aNEALE, D. B.
700 1 $aWEGRZYN, J. L.
700 1 $aKIRST, M.
700 1 $aPETER, G. F.
773 $tCrop Science$gv. 54, p. 115-1123, May/June 2014.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Florestas (CNPF) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
