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Comparison of two models to estimate genetic parameters for number of born alive in pigs
Author(s) -
Konta Ayane,
Ogawa Shinichiro,
Kimata Makoto,
Ishii Kazuo,
Uemoto Yoshinobu,
Satoh Masahiro
Publication year - 2020
Publication title -
animal science journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.606
H-Index - 38
eISSN - 1740-0929
pISSN - 1344-3941
DOI - 10.1111/asj.13417
Subject(s) - heritability , trait , purebred , animal model , parity (physics) , statistics , genetic model , repeatability , large white , mathematics , biology , zoology , genetics , crossbreed , computer science , physics , particle physics , gene , programming language , endocrinology
Abstract The performance of the two‐trait animal model that regards the first parity and later parities as two different traits in estimating genetic parameters for number of born alive (NBA) was examined using real and simulated data. Genetic parameters for NBA were estimated in purebred Landrace and Large White pigs using a single‐trait repeatability model (Model 1) that regards all parities as the same trait and a two‐trait animal model (Model 2) that regards the first and the later parities as different traits. For Model 2, the permanent environmental effect was fitted to only the records of the later parities. Heritability for NBA estimated using Model 1 was 0.12 for Landrace and 0.11 for Large White. Estimated heritability for NBA of the first parity and the later parities was 0.21 and 0.16, respectively, for Landrace; 0.18 and 0.16, respectively, for Large White obtained using Model 2, and higher than those in both breeds obtained using Model 1. Further results based on data simulated using the Monte Carlo method suggest that estimated additive genetic variance could be more biased using Model 2 than Model 1.