[HTML][HTML] Genomic studies of milk-related traits in water buffalo (Bubalus bubalis) based on single-step genomic best linear unbiased prediction and random regression …

SF Lázaro, H Tonhati, HR Oliveira, AA Silva… - Journal of Dairy …, 2021 - Elsevier
Genomic selection has been widely implemented in many livestock breeding programs, but
it remains incipient in buffalo. Therefore, this study aimed to (1) estimate variance …

[HTML][HTML] Exploiting genetic variability in the trajectory of lactation yield and somatic cell score with each progressing parity

M Williams, RD Sleator, CP Murphy, J McCarthy… - Journal of Dairy …, 2022 - Elsevier
The inclusion of reproductive performance in dairy cow breeding schemes has resulted in a
cumulative improvement in genetic merit for reproductive performance; this improvement …

The relationship between temperature-humidity index and test-day milk yield of Iranian Holstein dairy cattle using random regression model

M Bohlouli, J Shodja, S Alijani, A Eghbal - Livestock Science, 2013 - Elsevier
The aim of this study was to assess the impact of heat stress on milk yield of Iranian Holstein
dairy cattle. The national data set consisted of 840,834 first lactation test day records on …

Random regression test‐day models to describe milk production and fatty acid traits in first lactation Walloon Holstein cows

JT Paiva, RR Mota, PS Lopes… - Journal of Animal …, 2022 - Wiley Online Library
We investigated the use of different Legendre polynomial orders to estimate genetic
parameters for milk production and fatty acid (FA) traits in the first lactation Walloon Holstein …

[HTML][HTML] Heterosis in the lactation curves of Girolando cows with emphasis on variations of the individual curves

D dos Santos Daltro, AH Padilha… - Journal of Applied …, 2019 - Taylor & Francis
Linear and nonlinear models were used to evaluate the effect of heterosis on the
components of the lactation curves of different crossbred groups of cows from Girolando …

[HTML][HTML] Random regression model for genetic evaluation and early selection in the iranian holstein population

Y Salimiyekta, R Vaez-Torshizi, MA Abbasi… - Animals, 2021 - mdpi.com
Simple Summary The objective of this study was to use a model to predict breeding values
for sires and cows at an early stage of the first lactation of cows and progeny groups in the …

Estimation of genetic parameters for first lactation monthly test-day milk yields using random regression test day model in Karan Fries cattle

A Singh, A Singh, M Singh, V Prakash… - … journal of animal …, 2015 - pmc.ncbi.nlm.nih.gov
A single trait linear mixed random regression test-day model was applied for the first time for
analyzing the first lactation monthly test-day milk yield records in Karan Fries cattle. The test …

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 …

Genetic analysis of milk yield in first-lactation Holstein Friesian in Ethiopia: a lactation average vs random regression test-day model analysis

S Meseret, B Tamir, G Gebreyohannes… - … journal of animal …, 2015 - pmc.ncbi.nlm.nih.gov
The development of effective genetic evaluations and selection of sires requires accurate
estimates of genetic parameters for all economically important traits in the breeding goal …

Random regression models are suitable to substitute the traditional 305-day lactation model in genetic evaluations of Holstein cattle in Brazil

AH Padilha, JA Cobuci, CN Costa… - … -Australasian journal of …, 2015 - pmc.ncbi.nlm.nih.gov
The aim of this study was to compare two random regression models (RRM) fitted by fourth
(RRM4) and fifth-order Legendre polynomials (RRM5) with a lactation model (LM) for …