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Estimación lineal de los requerimientos nutricionales del NRC para ganado de leche.
Open accessAbstract
Linear regression equations have been obtained to directly calculatenutrient requirements of dairy cattle (TDN, DE, ME, NEL,CP, Ca, P, Vitamin A and Vitamin D) on differentphysiological stages: maintenance, pregnancy and milkproduction based on NRC nutrient requirements tables. TheR-square was calculated for each equation to establish thedegree of adjustment.
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Citations
Cited by
Nitrogen metabolism in the rumen
Bach, A., Calsamiglia, S., & Stern, M. D. (2005) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(05)73133-7 · Cited by 1,311
Roche, J. R., Friggens, N. C., Kay, J. K., Fisher, M. W., Stafford, K. J., & Berry, D. P. (2009) · Journal of Dairy Science · doi:10.3168/jds.2009-2431 · Cited by 1,254
Specific microbiome-dependent mechanisms underlie the energy harvest efficiency of ruminants.
Shabat, S. K. B., Sasson, G., Doron-Faigenboim, A., Durman, T., Yaacoby, S., Berg Miller, M. E., White, B. A., Shterzer, N., & Mizrahi, I. (2016) · The ISME Journal · doi:10.1038/ismej.2016.62 · Cited by 823
Potential role of the bovine rumen microbiome in modulating milk composition and feed efficiency
Jami, E., White, B. A., & Mizrahi, I. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085423 · Cited by 588
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Metadata
- Authors
- Elizondo-Salazar, J. A.
- Venue
- Agronomía Mesoamericana
- Publisher
- Universidad de Costa Rica
- Published
- 2014-02-20
- Volume
- 13
- Issue
- 1
- Pages
- 41
- ISSN
- 1021-7444 (ISSN-L)
- 2215-3608
- OpenAlex
- W1822425348
- Cited by
- 6,497
- References
- 0
- FWCI
- 976.63
- Type
- journal article
- Language
- es
- Open access
- diamond
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- Elizondo-Salazar, J. A. (2014). Estimación lineal de los requerimientos nutricionales del NRC para ganado de leche. Agronomía Mesoamericana. https://doi.org/10.15517/am.v13i1.13244
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
