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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sul. Para informações adicionais entre em contato com cppsul.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Pecuária Sudeste; Embrapa Pecuária Sul. |
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Data corrente: |
26/09/2024 |
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Data da última atualização: |
30/10/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
GOMES, A. P.; CAMARGO, S. S.; YOKOO, M. J. I. |
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Afiliação: |
A. P. GOMES, INSTITUTO FEDERAL SUL-RIO-GRANDENSE; S. S. CAMARGO, UNIVERSIDADE FEDERAL DO PAMPA; MARCOS JUN ITI YOKOO, CPPSE. |
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Título: |
Beef cattle mating recommendation based on bioeconomic models. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Livestock Science, v. 289, 105551, Nov. 2024. |
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DOI: |
https://doi.org/10.1016/j.livsci.2024.105551 |
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Idioma: |
Inglês |
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Conteúdo: |
Recognizing the pivotal role of mating in animal breeding, this study strives to establish a robust strategy for recommending optimal matings among bovines. This strategy is built to maximize a single value derived from the economic selection index of full-cycle system in Brangus cattle. The study endeavors to apply computational methodologies to explore economically significant traits comprehensively, thereby leading to amplified financial gains for Brangus cattle breeders. Anchored within this overarching objective, a strategic deployment of a genetic algorithm is employed to formulate mating recommendations that precisely align with the priority traits designated by the genetic evaluation program of the Brazilian Brangus Association (BBA). The data set of the BBA for the simulations in this study encompass a range of selection criteria, including: i) birth weight; ii) mature cow weight; iii) ribeye area; iv) subcutaneous fat thickness; v) subcutaneous fat thickness at the rump; vi) escape speed; vii) nematode egg count per gram of feces; and viii) tick count. The research findings underscore that the recommendations provided by the computational strategy converge to increase the bioeconomic index while controlling the trade-off between this index and progeny inbreeding. |
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Palavras-Chave: |
Combinatorial optimization; Evolutionary computing. |
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Thesagro: |
Acasalamento; Criação; Gado de Corte. |
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Thesaurus Nal: |
Animal breeding; Artificial intelligence. |
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Categoria do assunto: |
--
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
LEADER 02014naa a2200241 a 4500
001 2168632
005 2024-10-30
008 2024 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.livsci.2024.105551$2DOI
100 1 $aGOMES, A. P.
245 $aBeef cattle mating recommendation based on bioeconomic models.$h[electronic resource]
260 $c2024
520 $aRecognizing the pivotal role of mating in animal breeding, this study strives to establish a robust strategy for recommending optimal matings among bovines. This strategy is built to maximize a single value derived from the economic selection index of full-cycle system in Brangus cattle. The study endeavors to apply computational methodologies to explore economically significant traits comprehensively, thereby leading to amplified financial gains for Brangus cattle breeders. Anchored within this overarching objective, a strategic deployment of a genetic algorithm is employed to formulate mating recommendations that precisely align with the priority traits designated by the genetic evaluation program of the Brazilian Brangus Association (BBA). The data set of the BBA for the simulations in this study encompass a range of selection criteria, including: i) birth weight; ii) mature cow weight; iii) ribeye area; iv) subcutaneous fat thickness; v) subcutaneous fat thickness at the rump; vi) escape speed; vii) nematode egg count per gram of feces; and viii) tick count. The research findings underscore that the recommendations provided by the computational strategy converge to increase the bioeconomic index while controlling the trade-off between this index and progeny inbreeding.
650 $aAnimal breeding
650 $aArtificial intelligence
650 $aAcasalamento
650 $aCriação
650 $aGado de Corte
653 $aCombinatorial optimization
653 $aEvolutionary computing
700 1 $aCAMARGO, S. S.
700 1 $aYOKOO, M. J. I.
773 $tLivestock Science$gv. 289, 105551, Nov. 2024.
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Embrapa Pecuária Sudeste (CPPSE) |
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| 19. |  | CHAKRABORTY, S.; PERROT, R.; CHARCHAR, M. J. D`A.; FERNANDES, C. D.; KELEMU, S. Biodiversity, epidemiology and virulence of Colletotrichum gloeosporioides. II. Genetic and pathogenic diversity in isolates of Colletotrichum gloeosporioides from eight species of Stylosanthes. Tropical Grasslands, Brisbane, v.31, n.5, p.393-401, Nov. 1997. CNPGC.| Biblioteca(s): Embrapa Gado de Corte. |
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| 20. | | CHAKRABORTY, S.; PERROT, R.; CHARCHAR, M. J. D' A.; FERNANDES, C. D.; KELEMU, S. Biodiversity, epidemiology and virulence of Colletotrichum gloeosporioides. II. Genetic and pathogenic diversity in isolates of Colletotrichum gloeosporioides from eight species of Stylosanthes. Tropical Grasslands, Queensland, v.31, p.393-401, 1997.| Biblioteca(s): Embrapa Cerrados. |
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