November 21, 2024

Arsalan Brazandeh

Academic rank: Associate professor
Address:
Education: PhD. in -
Phone: 9133950704
Faculty:

Research

Title
Early growth performance in the Murciano-Granadina goats: Insights from genetic and phenotypic analyses
Type Article
Keywords
animal model; genetic parameters; goat; maternal effects
Researchers Morteza Mokhtari, Ali Esmailizadeh, zahra roudbari, Arsalan Brazandeh, Juan pablo Gutierrez, Ehsan Mohebbinejad

Abstract

This study investigates the genetic and phenotypic aspects of early growth performance in the Murciano-Granadina goat breed, using data collected between 2016 and 2022 from a private dairy farm in Ghale-Ganj city, located in the southern area of Kerman province, Iran. Pedigree and data information were collected on several early body weight traits, including birth weight (BW), weaning weight (WW), average daily gain (ADG), Kleiber ratio (KR), and growth efficiency from birth to weaning (GE). Nine univariate animal models included direct additive genetic effects and different combinations of maternal effects were compared by using Akaike Information Criterion (AIC). Among the tested models, the best genetic analysis model for BW, included direct additive, maternal additive, maternal permanent, and maternal temporary environmental effects. The best model for ADG, KR, and GE included direct additive, maternal permanent, and litter effects. For WW, the best model was determined to be one that included direct additive and maternal additive genetic effects. The estimated direct heritabilities were low values of 0.04, 0.07, 0.08, 0.05, and 0.07 for BW, ADG, KR, GE, and WW, respectively. The estimates of genetic correlations among the studied traits were positive and low to high in magnitude which ranged from 0.11 for BW-KR to 0.91 for BW-GE. The phenotypic correlations ranged from 0.03 for KR-WW to 0.87 for ADG-KR. The positive correlations observed among the studied growth traits of the Murciano-Granadina goat breed indicate no negative genetic or phenotypic changes associated with selection for these traits.