Milk fatty acids as covariates in multiple regression analysis is a robust approach to model the decrease in milk fat concentration and yield in small ruminants

Milk fat depression (MFD) syndrome has been associated with the antilipogenic effects of trans‐10 fatty acids (FA), such as t10, c12‐CLA (CLA) and t10‐18:1 (T10). However, these FA alone cannot completely explain the changes in milk fat in small ruminants. Thus, the aim of this study was to use mult...

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Veröffentlicht in:	Journal of animal physiology and animal nutrition 2023-07, Vol.107 (4), p.1028-1034
Hauptverfasser:	Padilha, Charline G., Ribeiro, Claudio V. D. M., Oliveira, Dimas E.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Animal fat Animals Body weight Butter Diet - veterinary Dietary Supplements - analysis ewes Fat metabolism Fatty acids Fatty Acids - metabolism Female Gene expression Goats Goats - physiology Lactation Linoleic Acids, Conjugated - pharmacology Linolenic acid lipids Mammary gland Mammary glands mammary metabolism Milk Milk - chemistry milk fat depression Model accuracy Multiple regression analysis Multiple regression models Oils & fats Palmitic acid Regression Analysis Robustness (mathematics) Sheep
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