Random regression analyses using B-splines to model growth of Australian Angus cattle
نویسندگان
چکیده
منابع مشابه
Random regression analyses using B-spline functions to model growth of Nellore cattle.
The objective of this study was to estimate (co)variance components using random regression on B-spline functions to weight records obtained from birth to adulthood. A total of 82 064 weight records of 8145 females obtained from the data bank of the Nellore Breeding Program (PMGRN/Nellore Brazil) which started in 1987, were used. The models included direct additive and maternal genetic effects ...
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Estimates of variance components and genetic parameters for growth of Angus cattle from birth to 820 days of age were obtained from a random regression analysis. Trajectories were modelled through quadratic B-spline functions with 7 random regression coefficients for direct genetic and permanent environmental effects, and 5 coefficients for the corresponding maternal effects. Data comprised a l...
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INTRODUCTION Random regression (RR) analyses have been suggested for the analysis of growth records for beef cattle. A previous analysis of a large set of field data fitted cubic regressions on age at recording for all random effects, i.e. direct and maternal, genetic and permanent environmental effects (Meyer, 2002a). This choice was determined by the fact that a cubic polynomial is the lowest...
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متن کاملAnalyses of growth curves of nellore cattle by multiple-trait and random regression models.
The purpose of this study was to compare estimates of genetic parameters for sequential growth of beef cattle using two models and two data sets. Growth curves of Nellore cattle were analyzed using body weights measured at ages 1 (birth weight) to 733 d. Two data samples were created, one with 71,867 records sampled from all herds (MISS), and the other with 74,601 records sampled from herds wit...
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ژورنال
عنوان ژورنال: Genetics Selection Evolution
سال: 2005
ISSN: 1297-9686
DOI: 10.1186/1297-9686-37-6-473