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Campo DC | Valor | Idioma |
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dc.contributor.author | CARVALHO, M. E. | |
dc.contributor.author | PEREIRA, L. | |
dc.contributor.author | ALBERTINI, T. Z. | |
dc.contributor.author | LEITE, L. F. | |
dc.contributor.author | BALDI, F. S. | |
dc.contributor.author | MAGNABOSCO, C. de U. | |
dc.date.accessioned | 2025-10-09T20:48:32Z | - |
dc.date.available | 2025-10-09T20:48:32Z | - |
dc.date.created | 2025-10-09 | |
dc.date.issued | 2024 | |
dc.identifier.citation | In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 58., 2024, Cuiabá. Zootecnia para a segurança alimentar e sustentabilidade climática. Viçosa, MG: Sociedade Brasileira de Zootecnia, 2024. | |
dc.identifier.uri | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1179566 | - |
dc.description | Advances in precision livestock farming have fostered the use of high-throughput phenotyping, facilitating enhanced monitoring in animal improvement, research, and genetic applications (Silva et al., 2021). Additionally, precision livestock technological solutions can enhance production system efficiency, enabling opportunities to select animals more efficiently through automated phenotyping (Brito et al., 2021). This study aimed to estimate (co)variance components and genetic parameters for accumulated profitability (APF) and profit per each 15 kilogram of liveweight gain (PFT) in the feedlot, as well as their relationships with weight at 450 days of age (W450), rib eye area (REA), dry-matter intake (DMI), and frame score (FRAME). | |
dc.language.iso | eng | |
dc.rights | openAccess | |
dc.title | Study of genetic parameters for feedlot profitability related traits in Nelore Cattle. | |
dc.type | Resumo em anais e proceedings | |
dc.subject.thesagro | Pecuária | |
dc.subject.thesagro | Parâmetro Genético | |
dc.subject.thesagro | Rentabilidade | |
dc.subject.thesagro | Gado Nelore | |
riaa.ainfo.id | 1179566 | |
riaa.ainfo.lastupdate | 2025-10-09 | |
dc.contributor.institution | MINOS E. CARVALHO, @TECH - INNOVATION TECHNOLOGY FOR AGRICULTURE; LETÍCIA PEREIRA, UNIVERSIDADE FEDERAL DE GOIÁS; TIAGO Z. ALBERTINI, @TECH - INNOVATION TECHNOLOGY FOR AGRICULTURE; LARA F. LEITE, @TECH - INNOVATION TECHNOLOGY FOR AGRICULTURE; FERNANDO S. BALDI, UNIVERSIDADE ESTADUAL PAULISTA; CLAUDIO ULHOA MAGNABOSCO, CPAC. | |
Aparece nas coleções: | Resumo em anais de congresso (CPAC)![]() ![]() |
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