Exploring causal networks of bovine milk fatty acids in a multivariate mixed model context-Reference-Cited by-同舟云学术

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Exploring causal networks of bovine milk fatty acids in a multivariate mixed model context

Published:2014 Issue:1 Volume:46 Page:2
ISSN:1297-9686
Container-title:Genetics Selection Evolution
language:en
Short-container-title:Genetics Selection Evolution

Author:

Bouwman Aniek C,Valente Bruno D,Janss Luc L G,Bovenhuis Henk,Rosa Guilherme J M

Publisher

Springer Science and Business Media LLC

Subject

Genetics,Animal Science and Zoology,General Medicine,Ecology, Evolution, Behavior and Systematics

Reference22 articles.

1. The Statistical Implications of a System of Simultaneous Equations

2. Quantitative Genetic Models for Describing Simultaneous and Recursive Relationships Between PhenotypesThis article is dedicated to Arthur B. Chapman, teacher and mentor of numerous animal breeding students and disciple and friend of Sewall Wright.

3. A Structural Equation Model for Describing Relationships Between Somatic Cell Score and Milk Yield in First-Lactation Dairy Cows

4. Relationships between milk yield and somatic cell score in Canadian Holsteins from simultaneous and recursive random regression models

5. Exploration of Relationships Between Claw Disorders and Milk Yield in Holstein Cows via Recursive Linear and Threshold Models

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1. Genetical analysis of mastitis and reproductive traits in first-parity Holstein cows using standard and structural equation modelling;animal;2023-05

2. Invited review: Recursive models in animal breeding: Interpretation, limitations, and extensions;Journal of Dairy Science;2023-04

3. Investigating functional relationships among health and fertility traits in dairy cows;Livestock Science;2022-12

4. Phenotypic causal networks between boar taint compounds measured in biopsies and carcasses;Animal Production Science;2022-10-28

5. Investigating potential causal relationships among carcass and meat quality traits using structural equation model in Nellore cattle;Meat Science;2022-05

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