Genetic analysis of milk production traits of Tunisian Holsteins using random regression test-day model with Legendre polynomials
Author:
Publisher
Asian Australasian Association of Animal Production Societies
Subject
Animal Science and Zoology,Food Science
Link
http://ajas.info/upload/pdf/ajas-31-5-636.pdf
Reference28 articles.
1. Theoretical Basis and Computational Methods for Different Test-Day Genetic Evaluation Methods
2. Genetic parameters for test-day milk yield, 305-day milk yield, and lactation length in Guzerat cows
3. Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy Cattle
4. Experience with a Test-Day Model
5. Random Herd Curves in a Test-Day Model for Milk, Fat, and Protein Production of Dairy Cattle in The Netherlands
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1. Assessment of Genetic and Health Management of Tunisian Holstein Dairy Herds with a Focus on Longevity;Genes;2023-03-08
2. Vulnerability assessments in dairy cattle farms based on individual sensitivity to heat stress;International Journal of Biometeorology;2022-04-29
3. Genetic parameters for milk yield, casein percentage, subclinical mastitis incidence and sexual precocity using Bayesian linear and threshold models;Animal Production Science;2022-04-13
4. Comparison and estimation of different linear and nonlinear lactation curve submodels in random regression analyses on dairy cattle;Canadian Journal of Animal Science;2021-09-01
5. Genomic studies of milk-related traits in water buffalo (Bubalus bubalis) based on single-step genomic best linear unbiased prediction and random regression models;Journal of Dairy Science;2021-05
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