| Autor: |
S. Binggeli, D. Pellerin, P.Y. Chouinard |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
JDS Communications, Vol 4, Iss 5, Pp 340-343 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2666-9102 |
| DOI: |
10.3168/jdsc.2022-0360 |
| Popis: |
In 2021, the National Academies of Sciences, Engineering, and Medicine (NASEM) issued an equation to predict milk fat yield using dairy cow characteristics and diet composition as input variables. This model was evaluated externally using a data set composed of 541 feed and production records obtained from 23 eastern Canadian dairy herds. The use of the developed equation requires the prediction of dry matter intake. Cow intake used in the model assessment has been obtained by NASEM equations based on (1) animal factors, or (2) a combination of feed composition and animal factors. The prediction of milk fat yield was shown to be accurate. The best prediction was obtained using intake estimated based solely on animal factors (concordance correlation coefficient = 0.68). |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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