Animal Bioscience

Animal Breeding and Genetics
B-spline polynomials models for analyzing growth patterns of Guzerat young bulls in field performance tests: Ricardo Costa Sousa, Fernando dos Santos Magaço, Daiane Cristina Becker Scalez, José Elivalto Guimarães Campelo, Clélia Soares de Assis, Idalmo Garcia Pereira; Anim Biosci. 2024;37(5):817-825. Published online January 20, 2024; DOI: https://doi.org/10.5713/ab.23.0279; Full text PubReader ePub PDF Supplementary Material


Genetic analysis of milk production traits of Tunisian Holsteins using random regression test-day model with Legendre polynomials: Hafedh Ben Zaabza, Abderrahmen Ben Gara, Boulbaba Rekik; Asian-Australas J Anim Sci. 2018;31(5):636-642. Published online August 16, 2017; DOI: https://doi.org/10.5713/ajas.17.0332
Crossref 6; Full text PubReader ePub PDF


Random Regression Models Are Suitable to Substitute the Traditional 305-Day Lactation Model in Genetic Evaluations of Holstein Cattle in Brazil: Alessandro Haiduck Padilha, Jaime Araujo Cobuci, Cláudio Napolis Costa, José Braccini Neto; Asian-Australas J Anim Sci. 2016;29(6):759-767. Published online September 10, 2015; DOI: https://doi.org/10.5713/ajas.15.0498
Crossref 5; Full text PubReader ePub PDF


Genetic Parameters for Milk Yield and Lactation Persistency Using Random Regression Models in Girolando Cattle: Ali William Canaza-Cayo, Paulo Sávio Lopes, Marcos Vinicius Gualberto Barbosa da Silva, Robledo de Almeida Torres, Marta Fonseca Martins, Wagner Antonio Arbex, Jaime Araujo Cobuci; Asian-Australas J Anim Sci. 2015;28(10):1407-1418. Published online May 28, 2015; DOI: https://doi.org/10.5713/ajas.14.0620
Crossref 10; Full text PubReader ePub PDF

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