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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
21/11/2019 |
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Data da última atualização: |
21/11/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
LIMA, V. L. de; AMARAL JÚNIOR, A. T. do; KAMPHORST, S. H.; BISPO, R. B.; LEITE, J. T.; SANTOS, T. de O.; SCHMITT, K. F. M.; CHAVES, M. M.; OLIVEIRA, U. A. de; SANTOS, P. H. A. D.; GONÇALVES, G. M. B.; KHAN, S.; GUIMARAES, L. J. M. |
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Afiliação: |
Valter Jário de Lima, Universidade Estadual do Norte Fluminense Darcy Ribeiro; Antonio Teixeira do Amaral Júnior, Universidade Estadual do Norte Fluminense Darcy Ribeiro; Samuel Henrique Kamphorst, Universidade Estadual do Norte Fluminense Darcy Ribeiro; Rosimeire Barboza Bispo, Universidade Estadual do Norte Fluminense Darcy Ribeiro; Jhean Torres Leite, Universidade Estadual do Norte Fluminense Darcy Ribeiro; Talles de Oliveira Santos, Universidade Estadual do Norte Fluminense Darcy Ribeiro; Kátia Fabiane Medeiros Schmitt, Universidade Estadual do Norte Fluminense Darcy Ribeiro; Marcelo Moura Chaves, Universidade Estadual do Norte Fluminense Darcy Ribeiro; Uéliton Alves de Oliveira, Universidade Estadual do Norte Fluminense Darcy Ribeiro; Pedro Henrique Araújo Diniz Santos, Universidade Estadual do Norte Fluminense Darcy Ribeiro; Gabriel Moreno Bernardo Gonçalves, Universidade Estadual do Norte Fluminense Darcy Ribeiro; Shahid Khan, Universidade Estadual do Norte Fluminense Darcy Ribeiro; LAURO JOSE MOREIRA GUIMARAES, CNPMS. |
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Título: |
Combined dominance and additive gene effects in trait inheritance of drought-stressed and full irrigated popcorn. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Agronomy, v. 9, n. 12, article 782, 2019. |
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DOI: |
10.3390/agronomy9120782 |
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Idioma: |
Inglês |
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Conteúdo: |
To define breeding strategies, the understanding of trait inheritance is critical. The objective of this study was to determine the inheritance of popcorn under different water regimes. To this end, Hayman's diallel methodology was used, with 8 parents and 28 hybrids. The experiment was carried out under well-watered conditions (WW) and water stress (WS). For popping expansion (PE) under both water regimes, the effects of complete dominance and greater importance of the components associated with the dominance effects were observed. In contrast, the number of dominant genes was zero and the determination coefficient in the narrow sense was >50%; additive effects were also present. For the number of grains per row (GR), ear length (EL), and grain yield (GY) under WS and WW conditions, the dominance effects were the most relevant, and the mean degree of dominance with overdominance effects and greatest relevance of the components associated with this effect were also observed. The same breeding methods can be applied under the studied WS and WW conditions. Exploiting heterosis for GY and related components is a promising way to adapt popcorn to WS. To be able to capitalize on additive and dominance effects, a reciprocal recurrent selection is recommended. |
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Palavras-Chave: |
Tolerância à seca. |
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Thesagro: |
Melhoramento Vegetal; Milho Pipoca; Stress. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/205194/1/Combined-dominance.pdf
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Marc: |
LEADER 02245naa a2200325 a 4500
001 2114869
005 2019-11-21
008 2019 bl uuuu u00u1 u #d
024 7 $a10.3390/agronomy9120782$2DOI
100 1 $aLIMA, V. L. de
245 $aCombined dominance and additive gene effects in trait inheritance of drought-stressed and full irrigated popcorn.$h[electronic resource]
260 $c2019
520 $aTo define breeding strategies, the understanding of trait inheritance is critical. The objective of this study was to determine the inheritance of popcorn under different water regimes. To this end, Hayman's diallel methodology was used, with 8 parents and 28 hybrids. The experiment was carried out under well-watered conditions (WW) and water stress (WS). For popping expansion (PE) under both water regimes, the effects of complete dominance and greater importance of the components associated with the dominance effects were observed. In contrast, the number of dominant genes was zero and the determination coefficient in the narrow sense was >50%; additive effects were also present. For the number of grains per row (GR), ear length (EL), and grain yield (GY) under WS and WW conditions, the dominance effects were the most relevant, and the mean degree of dominance with overdominance effects and greatest relevance of the components associated with this effect were also observed. The same breeding methods can be applied under the studied WS and WW conditions. Exploiting heterosis for GY and related components is a promising way to adapt popcorn to WS. To be able to capitalize on additive and dominance effects, a reciprocal recurrent selection is recommended.
650 $aMelhoramento Vegetal
650 $aMilho Pipoca
650 $aStress
653 $aTolerância à seca
700 1 $aAMARAL JÚNIOR, A. T. do
700 1 $aKAMPHORST, S. H.
700 1 $aBISPO, R. B.
700 1 $aLEITE, J. T.
700 1 $aSANTOS, T. de O.
700 1 $aSCHMITT, K. F. M.
700 1 $aCHAVES, M. M.
700 1 $aOLIVEIRA, U. A. de
700 1 $aSANTOS, P. H. A. D.
700 1 $aGONÇALVES, G. M. B.
700 1 $aKHAN, S.
700 1 $aGUIMARAES, L. J. M.
773 $tAgronomy$gv. 9, n. 12, article 782, 2019.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
13/08/2021 |
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Data da última atualização: |
29/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
TEIXEIRA, F. R. F.; NASCIMENTO, M.; CECON, P. R.; CRUZ, C. D.; SILVA, F. F. e; NASCIMENTO, A. C. C.; AZEVEDO, C. F.; MARQUES, D. B. D.; SILVA, M. V. G. B.; CARNEIRO, A. P. S.; PAIXAO, D. M. |
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Afiliação: |
Universidade Federal do Piauí; Universidade Federal de Viçosa; Universidade Federal de Viçosa; Universidade Federal de Viçosa; Universidade Federal de Viçosa; A.C.C. NASCIMENTO, Universidade Federal de Viçosa; Universidade Federal de Viçosa; D.B.D. MARQUES, Universidade Federal de Viçosa; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; A.P.S. CARNEIRO, Universidade Federal de Viçosa; Universidade de São Paulo. |
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Título: |
Genomic prediction of lactation curves of Girolando cattle based on nonlinear mixed models. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 20, n. 1, gmr18691, 2021. |
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DOI: |
http://dx.doi.org/10.4238/gmr18691 |
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Idioma: |
Inglês |
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Conteúdo: |
Knowledge of lactation curves in dairy cattle is essential for understanding the animal production in milk production systems. Genomic prediction of lactation curves represents the genetic pattern of milk production of the animals in the herd. In this context, we made genomic predictions of lactation curves through genome-wide selection (GWS) to characterize the genetic pattern of lactation traits in Girolando cattle based on parameters estimated by nonlinear mixed effects (NLME) models. Data of 1,822 milk control records from 226 Girolando animals genotyped for 37,673 single nucleotide polymorphisms were analyzed. Nine NLME models were compared to identify the equation with the best fit. The lactation traits estimated by the best model were submitted to GWS analysis, using the Bayesian LASSO method. Then, based on the genomic estimated breeding values (GEBVs) obtained, genomic predictions of lactation curves were constructed, and the genetic parameters were calculated. Wood's equation showed the best fit among the evaluated models. Heritabilities ranged from 0.09 to 0.29 for the seven lactation variables (initial production, rates of increase and decline, lactation peak, time to peak yield, persistence and total production). The correlations among GEBVs ranged from -0.85 to 0.98. The concordances between the best animals selected according to the selected traits were greater when the correlations between GEBVs for these traits were also high. Consequently, the methodology allowed us to identify the best nonlinear model and to construct the genetic lactation curves of a Girolando cattle population, as well as to assess the differences between animals and the association between lactation variables. MenosKnowledge of lactation curves in dairy cattle is essential for understanding the animal production in milk production systems. Genomic prediction of lactation curves represents the genetic pattern of milk production of the animals in the herd. In this context, we made genomic predictions of lactation curves through genome-wide selection (GWS) to characterize the genetic pattern of lactation traits in Girolando cattle based on parameters estimated by nonlinear mixed effects (NLME) models. Data of 1,822 milk control records from 226 Girolando animals genotyped for 37,673 single nucleotide polymorphisms were analyzed. Nine NLME models were compared to identify the equation with the best fit. The lactation traits estimated by the best model were submitted to GWS analysis, using the Bayesian LASSO method. Then, based on the genomic estimated breeding values (GEBVs) obtained, genomic predictions of lactation curves were constructed, and the genetic parameters were calculated. Wood's equation showed the best fit among the evaluated models. Heritabilities ranged from 0.09 to 0.29 for the seven lactation variables (initial production, rates of increase and decline, lactation peak, time to peak yield, persistence and total production). The correlations among GEBVs ranged from -0.85 to 0.98. The concordances between the best animals selected according to the selected traits were greater when the correlations between GEBVs for these traits were also high. Consequently, the methodology a... Mostrar Tudo |
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Palavras-Chave: |
Previsão genômica. |
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Thesagro: |
Bovino; Curva de Lactação; Gado Leiteiro. |
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Thesaurus NAL: |
Genome; Girolando; Heritability. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/225151/1/Genomic-prediction.pdf
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Marc: |
LEADER 02711naa a2200337 a 4500
001 2133535
005 2021-12-29
008 2021 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.4238/gmr18691$2DOI
100 1 $aTEIXEIRA, F. R. F.
245 $aGenomic prediction of lactation curves of Girolando cattle based on nonlinear mixed models.$h[electronic resource]
260 $c2021
520 $aKnowledge of lactation curves in dairy cattle is essential for understanding the animal production in milk production systems. Genomic prediction of lactation curves represents the genetic pattern of milk production of the animals in the herd. In this context, we made genomic predictions of lactation curves through genome-wide selection (GWS) to characterize the genetic pattern of lactation traits in Girolando cattle based on parameters estimated by nonlinear mixed effects (NLME) models. Data of 1,822 milk control records from 226 Girolando animals genotyped for 37,673 single nucleotide polymorphisms were analyzed. Nine NLME models were compared to identify the equation with the best fit. The lactation traits estimated by the best model were submitted to GWS analysis, using the Bayesian LASSO method. Then, based on the genomic estimated breeding values (GEBVs) obtained, genomic predictions of lactation curves were constructed, and the genetic parameters were calculated. Wood's equation showed the best fit among the evaluated models. Heritabilities ranged from 0.09 to 0.29 for the seven lactation variables (initial production, rates of increase and decline, lactation peak, time to peak yield, persistence and total production). The correlations among GEBVs ranged from -0.85 to 0.98. The concordances between the best animals selected according to the selected traits were greater when the correlations between GEBVs for these traits were also high. Consequently, the methodology allowed us to identify the best nonlinear model and to construct the genetic lactation curves of a Girolando cattle population, as well as to assess the differences between animals and the association between lactation variables.
650 $aGenome
650 $aGirolando
650 $aHeritability
650 $aBovino
650 $aCurva de Lactação
650 $aGado Leiteiro
653 $aPrevisão genômica
700 1 $aNASCIMENTO, M.
700 1 $aCECON, P. R.
700 1 $aCRUZ, C. D.
700 1 $aSILVA, F. F. e
700 1 $aNASCIMENTO, A. C. C.
700 1 $aAZEVEDO, C. F.
700 1 $aMARQUES, D. B. D.
700 1 $aSILVA, M. V. G. B.
700 1 $aCARNEIRO, A. P. S.
700 1 $aPAIXAO, D. M.
773 $tGenetics and Molecular Research$gv. 20, n. 1, gmr18691, 2021.
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Embrapa Gado de Leite (CNPGL) |
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