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Short communication: Use of genomic and metabolic information as well as milk performance records for prediction of subclinical ketosis risk via artificial neural networks.
Ehret, A; Hochstuhl, D; Krattenmacher, N; Tetens, J; Klein, M S; Gronwald, W; Thaller, G.
  • Ehret A; Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, 24098 Kiel, Germany. Electronic address: aehret@tierzucht.uni-kiel.de.
  • Hochstuhl D; Institute for Theoretical Physics and Astrophysics, Christian-Albrechts-University, 24098 Kiel, Germany.
  • Krattenmacher N; Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, 24098 Kiel, Germany.
  • Tetens J; Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, 24098 Kiel, Germany.
  • Klein MS; Institute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany.
  • Gronwald W; Institute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany.
  • Thaller G; Institute of Animal Breeding and Husbandry, Christian-Albrechts-University, 24098 Kiel, Germany.
J Dairy Sci ; 98(1): 322-9, 2015 Jan.
Article en En | MEDLINE | ID: mdl-25465566
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Lactancia / Bovinos / Enfermedades de los Bovinos / Leche / Cetosis Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Animals Idioma: En Año: 2015 Tipo del documento: Article
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Lactancia / Bovinos / Enfermedades de los Bovinos / Leche / Cetosis Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Animals Idioma: En Año: 2015 Tipo del documento: Article