Estimated genetic parameters for all genetically evaluated traits in Canadian Holsteins
نویسندگان
چکیده
Genetic improvement is a crucial tool to deal with the increasing demand for high quality, sustainably produced dairy. Breeding programs are based on genetic parameters, such as heritability and correlations, economically important traits in population. In this study, we estimated population parameters trends 67 evaluated heifers first-lactation Canadian Holstein cows. The data consisted of approximately 500,000 records pedigree information collected from 1980 2019. were using bivariate linear animal models under Bayesian approach. Analyses resulted 2,211 combinations, which reported here. most highly heritable fat percent (0.66) protein (0.69), followed by stature (0.47). Lowest heritabilities (0.01) observed disease-related traits, lameness toe ulcer, calf survival. correlations between gestation length, size, calving ease measured both heifer cows close unity. On other hand, body condition score pin width, cystic ovaries sole rear teat placement, ulcer genetically unrelated. This study reports that have not been previously published cows, provides updates those estimated. These estimates useful building new indexes, updating existing selection predicting correlated responses due inclusion novel breeding programs.
منابع مشابه
Estimated genetic parameters for carcass traits of Brahman cattle.
Heritabilities and genetic and phenotypic correlations were estimated from feedlot and carcass data collected from Brahman calves (n = 504) in central Florida from 1996 to 2000. Data were analyzed using animal models in MTDFREML. Models included contemporary group (n = 44; groups of calves of the same sex, fed in the same pen, slaughtered on the same day) as a fixed effect and calf age in days ...
متن کاملGenetic and environmental relationships between body condition score and milk production traits in Canadian Holsteins.
The objective of this research was to estimate genetic parameters of first-lactation body condition score (BCS), milk yield, fat percentage (Fat%), protein percentage (Prot%), somatic cell score (SCS), milk urea nitrogen (MUN), lactose percentage (Lact%), and fat to protein ratio (F:P) using multiple-trait random regression animal models. Changes in covariances between BCS and milk production t...
متن کاملGenetic Parameters for Production Traits of Holsteins in California, New York, and Wisconsin
Heritabilities and genetic correlations were estimated for milk and fat yields and fat percentage from 305-d, matureequivalent records of registered and grade Holsteins in California, New York, and Wisconsin. Parameter estimates were olytained with daughter on dam regression within herd-year-season and sire of daughter. Data were pairs of first lactation records (38,115 in California, 171,555 i...
متن کاملBayesian Inference of (Co) Variance Components and Genetic Parameters for Economic Traits in Iranian Holsteins via Gibbs Sampling
The aim of this study was using Bayesian approach via Gibbs sampling (GS) for estimating genetic parameters of production, reproduction and health traits in Iranian Holstein cows. Data consisted of 320666 first- lactation records of Holstein cows from 7696 sires and 260302 dams collected by the animal breeding center of Iran from year 1991 to 2010. (Co) variance components were estimated using ...
متن کاملEstimation of genetic parameters for somatic cell score in Holsteins.
Genetic parameters of somatic cell scores for Holstein cows were estimated using an animal model and REML for two data sets. Set 1, with 13,017 records from 5278 cows, was used to obtain variance components, heritability, and repeatability for two lactation measures: the simple average and the weighted average of test day data. Set 2, with 14,418 records from 4806 cows, was used to obtain genet...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Dairy Science
سال: 2021
ISSN: ['0022-0302', '1525-3198', '1529-9066']
DOI: https://doi.org/10.3168/jds.2021-20227