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-Reference-Cited by-同舟云学术

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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

Published:2022-11-22 Issue: Volume: Page:
ISSN:0931-2439
Container-title:Journal of Animal Physiology and Animal Nutrition
language:en
Short-container-title:Animal Physiology Nutrition

Author:

Padilha Charline G.¹,Ribeiro Claudio V. D. M.²^ORCID,Oliveira Dimas E.¹

Affiliation:

1. Department of Animal Production Santa Catarina State University Lages Santa Catarina Brazil

2. Department of Animal Sciences Federal University of Bahia Salvador Bahia Brazil

Publisher

Wiley

Subject

Animal Science and Zoology,Food Animals

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jpn.13792

Reference36 articles.

1. Thetrans-10,cis-15 18:2: a Missing Intermediate oftrans-10 Shifted Rumen Biohydrogenation Pathway?

2. Effect of diet supplementation with combinations of soybean and linseed oils on milk production and fatty acid profile in lactating dairy ewes;Antonacci L. E.;Agricultural Sciences,2018

3. Individual differences in responsiveness to diet-induced milk fat depression in dairy sheep and goats

4. Dose–response relationship in dairy ewes fed a rumen unprotected CLA supplement

5. CLA induced milk fat depression reduced dry matter intake and improved energy balance in dairy goats

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