[HTML][HTML] Invited review: Advances and applications of random regression models: From quantitative genetics to genomics
An important goal in animal breeding is to improve longitudinal traits; that is, traits recorded
multiple times during an individual's lifetime or physiological cycle. Longitudinal traits were …
multiple times during an individual's lifetime or physiological cycle. Longitudinal traits were …
[HTML][HTML] Lactation curves and model evaluation for feed intake and energy balance in dairy cows
I Harder, E Stamer, W Junge, G Thaller - Journal of dairy science, 2019 - Elsevier
ABSTRACT A good health status of high-performing dairy cows is essential for successful
production. Feed intake affects the metabolic stability of dairy cows and can be used as a …
production. Feed intake affects the metabolic stability of dairy cows and can be used as a …
Modelling lactation curves of dairy goats by fitting random regression models using Legendre polynomials or B-splines
A total of 17 356 test-day milk yield (TDMY) records from 642 first lactations of Alpine goats
were used to model variations in lactation curve using random regression models (RRM) …
were used to model variations in lactation curve using random regression models (RRM) …
Big data analytics for empowering milk yield prediction in dairy supply chains
WJ Yan, X Chen, O Akcan, J Lim… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Accurate prediction of daily milk production is a crucial aspect of the dairy industry. During
the past decades, although many models using various data analytic techniques have been …
the past decades, although many models using various data analytic techniques have been …
[HTML][HTML] Genetic relationships between weight loss in early lactation and daily milk production throughout lactation in Holstein cows
T Tribout, S Minéry, R Vallée, S Saille, D Saunier… - Journal of Dairy …, 2023 - Elsevier
After calving, high-yielding dairy cows mobilize body reserves for energy, sometimes to the
detriment of health and fertility. This study aimed to estimate the genetic correlation between …
detriment of health and fertility. This study aimed to estimate the genetic correlation between …
Combining different functions to describe milk, fat, and protein yield in goats using Bayesian multiple-trait random regression models
HR Oliveira, FF Silva, O Siqueira… - Journal of Animal …, 2016 - academic.oup.com
We proposed multiple-trait random regression models (MTRRM) combining different
functions to describe milk yield (MY) and fat (FP) and protein (PP) percentage in dairy goat …
functions to describe milk yield (MY) and fat (FP) and protein (PP) percentage in dairy goat …
A random regression model based on a single-step method for improving the genomic prediction accuracy of residual feed intake in pigs
Y Wang, C Diao, H Kang, W Hao, R Mrode… - Frontiers in …, 2022 - frontiersin.org
Residual feed intake (RFI) is considered as a measurement of feed efficiency, which is
greatly related to the growth performance in pigs. Daily feeding records can be obtained …
greatly related to the growth performance in pigs. Daily feeding records can be obtained …
Genetic analysis of egg production traits in turkeys (Meleagris gallopavo) using a single-step genomic random regression model
H Emamgholi Begli, LR Schaeffer, E Abdalla… - Genetics Selection …, 2021 - Springer
Background Egg production traits are economically important in poultry breeding programs.
Previous studies have shown that incorporating genomic data can increase the accuracy of …
Previous studies have shown that incorporating genomic data can increase the accuracy of …
[HTML][HTML] Estimates of genetic parameters and eigenvector indices for milk production of Holstein cows
The objectives of the present study were to estimate genetic parameters of monthly test-day
milk yield (TDMY) of the first lactation of Brazilian Holstein cows using random regression …
milk yield (TDMY) of the first lactation of Brazilian Holstein cows using random regression …
Models for estimating genetic parameters of milk production traits using random regression models in Korean Holstein cattle
CI Cho, M Alam, TJ Choi, YH Choy… - … Journal of Animal …, 2015 - pmc.ncbi.nlm.nih.gov
The objectives of the study were to estimate genetic parameters for milk production traits of
Holstein cattle using random regression models (RRMs), and to compare the goodness of fit …
Holstein cattle using random regression models (RRMs), and to compare the goodness of fit …