Your browser doesn't support javascript.
loading
Prediction of water intake to Bos indicus beef cattle raised under tropical conditions1.
Zanetti, Diego; Prados, Laura F; Menezes, Ana Clara B; Silva, Breno C; Pacheco, Marcos V C; Silva, Flavia A S; Costa E Silva, Luiz Fernando; Detmann, Edenio; Engle, Terry E; Valadares Filho, Sebastião C.
Afiliação
  • Zanetti D; Federal Institute of Education, Science and Technology of Southern Minas Gerais, Machado, Minas Gerais, Brazil.
  • Prados LF; Agencia Paulista de Tecnologia dos Agronegócios, Colina, São Paulo, Brazil.
  • Menezes ACB; Department of Animal Science, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
  • Silva BC; Department of Animal Science, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
  • Pacheco MVC; Department of Animal Science, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
  • Silva FAS; Department of Animal Science, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
  • Costa E Silva LF; Department of Animal Science, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
  • Detmann E; Alltech do Brasil, Maringá, Paraná, Brazil.
  • Engle TE; Department of Animal Science, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil.
  • Valadares Filho SC; Department of Animal Science, Colorado State University, Fort Collins, Colorado, CO.
J Anim Sci ; 97(3): 1364-1374, 2019 Mar 01.
Article em En | MEDLINE | ID: mdl-30753494
Water is the most important nutrient in animal nutrition; however, water intake is rarely measured. The objective of this study was to determine whether previously published water intake (WI) equations for beef cattle would accurately predict WI from four experiments conducted under tropical conditions. The experiments were conducted from 2013 to 2015. Nellore (Bos indicus) growing bulls (Exps. 1, 2, and 3) and heifers (Exp. 4) were used in the feedlot trials. In all experiments, animals were fed for ad libitum DMI. The WI, animal performance, diet composition, and environmental data were collected. The prediction of WI using the current published WI equations was evaluated by regressing predicted and measured WI values. The regression was evaluated using the two-hypothesis test: H0: ß0 = 0 and H0: ß1 = 1 and Ha: not H0. If both null hypotheses were not rejected, it was concluded that the tested equation accurately estimated WI. To develop a WI prediction equation based on the input variables, a leave-one-out cross-validation method was proposed. The proposed equation was evaluated using similar methodology described above. All previously published eight equations overestimated WI of cattle used in the four experiments conducted in southeast Brazil. A possible explanation for the overestimate of WI is that previously published WI equations were generated from data collected from predominantly Bos taurus cattle raised under temperate climates. From the data collected from experiments conducted with Nellore cattle in southeast Brazil, the proposed equation (WI = 9.449 + 0.190 × MBW + 0.271 × TMAX -0.259 × HU + 0.489 × DMI, where the MBW is the metabolic BW (kg0.75), TMAX is the maximum temperature (°C), HU is the humidity (%) and DMI in kg/d), more accurately to predicts WI of cattle raised under tropical conditions.
Assuntos
Palavras-chave
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bovinos / Ingestão de Líquidos / Fenômenos Fisiológicos da Nutrição Animal Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals País/Região como assunto: America do sul / Brasil Idioma: En Revista: J Anim Sci Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bovinos / Ingestão de Líquidos / Fenômenos Fisiológicos da Nutrição Animal Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals País/Região como assunto: America do sul / Brasil Idioma: En Revista: J Anim Sci Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos