Elucidating genotype by environment interaction over the growth trajectory of Malpura sheep in the semi-arid region of India through Random regression model

GS Dhakad, S Saini, PK Mallick, SS Misra… - Small Ruminant …, 2022 - Elsevier
The Presence of genotype by environment (GxE) interaction over different ages across
growth trajectory in different environments leads to alteration in sires ranking, it may cause …

Estimates of covariance functions for growth of Kordi sheep in Iran using random regression models

DA Saghi, AR Shahdadi, FK Borzelabad… - Small Ruminant …, 2018 - Elsevier
In the current paper, restricted maximum likelihood estimates of covariance functions for
growth records from birth to 360 days of age in Kordi sheep population were estimated using …

Use of Random regression model for modeling growth trajectory in Jamunapari goat in the semi-arid region of India

MS Dige, PK Rout, MK Singh, S Bhusan, R Kaushik… - Livestock Science, 2021 - Elsevier
The objective of the study was to plot the trajectory of the growth curve in Jamunapari goat
using B-spline (BS) function and compare it with the Legendre polynomial (LP) function of …

Genotype× environment interaction affects sire ranking for live weights in Avikalin sheep

S Mahala, S Saini, A Kumar, RC Sharma… - Small Ruminant …, 2020 - Elsevier
The genotype by environment interaction alters the ranking of the animals at different ages
in life due to the changing environment. This affects the selection efficiency of the breeding …

Genetic evaluation of growth in Barki sheep using random regression models

AM Sallam, AH Ibrahim, SM Alsheikh - Tropical animal health and …, 2019 - Springer
The objective of the current study was to estimate covariance components of growth at
different ages from birth to yearling in Barki lambs. A total of 16,496 records for body weights …

Environmental effects and genetic parameters for growth traits of Lohi sheep

N Sharif, A Ali, M Dawood, MIR Khan, DN Do - Animals, 2022 - mdpi.com
Simple Summary Animal breeders are always interested in improving the economically
important traits such as growth by selecting and breeding genetically superior animals. The …

Modelling the lactation curve in Alpine× Beetal crossbred dairy goats using random regression models fitted with Legendre polynomial and B‐spline functions

A Upadhyay, R Alex, MS Dige, S Sahoo… - Journal of Animal …, 2024 - Wiley Online Library
The current study sought to genetically assess the lactation curve of Alpine× Beetal
crossbred goats through the application of random regression models (RRM). The objective …

[PDF][PDF] Estimation of genetic parameters and breeding values for growth traits using random regression model in Landrace× desi crossbred pigs

R Chaudhary, V Prakash, L Sailo, A Singh… - Indian Journal of …, 2019 - researchgate.net
The experiment was conducted to estimate genetic parameters and breeding value of pre-
weaning and postweaning growth traits in Landrace× Desi (indigenous) crossbred pigs …

Suitability of random regression models for growth of Madras Red sheep under a field performance recording system

V Arthy, R Venkataramanan, SN Sivaselvam… - Small ruminant …, 2020 - Elsevier
Growth, being a repeatable trait, is found to be more suitable for random regression models
(RRM). Especially in a field performance recording system the nature of data is …

Genetic evaluation of growth using random regression models

R Venkataramanan - The Indian Journal of Animal Sciences, 2021 - epubs.icar.org.in
The variability in growth traits provides enormous scope for improvement through selection
and breeding. However, growth is a longitudinal trait measured repeatedly on the animal …