Direct and maternal effects models for variance components and genetic parameters estimation of growth traits in prolific Garole sheep
![](/public/icon/gor.png)
![](/public/icon/pdf.png)
Keywords:
Average Daily Gain, Body Weight, Garole Sheep, Heritability, Maternal effects, VarianceAbstract
The objective of the study was to identify the mostsuitable model for estimation of (co) variance components and genetic parameters of different growth traits in prolific Garole sheep. Growth data of 1,058 Garole lambs born to 49 sires and 208 ewe was collected from ICAR-Central Sheep and Wool Research Institute (ICAR-CSWRI), Avikanagar, India. The traits studied were birth weight (BWT), 3 month weight (3WT), 6 month weight (6WT), 9 month weight (9WT), 12 month weight (12 WT), average daily gain from birth to 3 month age (ADG1), average daily gain from 3 month to 6 month age (ADG2). Twelve different animal models were fitted to account for different direct genetic and maternal effects. Model including maternal permanent environmental effect, maternal temporary environmental effect and direct genetic effects (Model 8) was most appropriate model for BWT. For other traits model with direct genetic effect and common litter effect (Model 7) was found most suitable. From best model direct heritability estimates of 0.037±0.054, 0.148±0.075, 0.104±0.077, 0.079±0.083, 0.103±0.116, 0.137±0.072 and 0.045±0.071 were obtained for BWT, 3WT, 6WT, 9WT, 12WT, ADG1and ADG2, respectively. Maternal temporary environmental effect variance contributed highest to total phenotypic variance. It ranged from 0.347±0.040 for BWT to 0.451±0.083 for 9WT. Estimates of direct genetic correlation ranged from –0.047 for BWT-ADG1 to 1.00 for BWT-12WT, 6WT-12WT and 9WT-12WT. Phenotypic correlations were positive and varied from 0.119 for ADG1-ADG2 to 0.982 for 3WT-ADG1. The growth traits of Garole sheep have low to moderate heritability and were influenced by maternal temporary environmental effect due to sharing of common litter environment.
Downloads
References
Abbasi M A, Abdollahi-Arpanahi B, Maghsoudi A, Vaez T, Orshizi A and Nejati-Javaremi A. 2012. Evaluation of models for estimation of genetic parameters and maternal effects for early growth traits of Iranian Baluchi sheep. Small Ruminant Research 10: 62–69. DOI: https://doi.org/10.1016/j.smallrumres.2011.10.003
Abegaz S, van Wyk J B and Olivier J J. 2005. Model comparisons and genetic and environmental parameter estimates of growth and the Kleiber ratio in Horro sheep. South African Journal of Animal Science 35: 30–40. DOI: https://doi.org/10.4314/sajas.v35i1.4046
ApDewi I, Saatci M and Ulutas Z. 2002. Genetic parameters of weights, ultrasonic muscle and fat depths, maternal effects and reproductive traits in Welsh Mountain sheep. Animal Science 74: 399–408. DOI: https://doi.org/10.1017/S1357729800052541
Boujenane I, Chikhi A, Ibnelbachyr M and Mouh F Z. 2015. Estimation of genetic parameters and maternal effects for body weight at different ages in D’man sheep. Small Ruminant Research 30: 27–35. DOI: https://doi.org/10.1016/j.smallrumres.2015.07.025
Ekiz B. 2005. Estimates of maternal effects for pre- and postweaning daily gain in Turkish Merino lambs. Turkish Journal of Veterinary and Animal Science 29: 399–407.
Gowane G R, Chopra A, Prakash V and Arora A L. 2010. Estimates of (co) variance components and genetic parameters for body weights and first greasy fleece weight in Malpura sheep. Livestock Science 131: 94–101. DOI: https://doi.org/10.1016/j.livsci.2010.03.006
Karmakar P K, Sarkar M, Raha C and Mandal A. 2018. Genetic parameters for direct and maternal effects on birth weight of Garole sheep. Indian Journal of Small Ruminants 24(2): 225– 29. DOI: https://doi.org/10.5958/0973-9718.2018.00067.3
Mandal A, Karmakar P K, Behera R and Pan S. 2017. Prolific Garole Sheep: Pride of Bengal. Research and Review: Journal of Dairy Science and Technology 6(2): 11–19.
Meyer K. 2007. WOMBAT—a tool for mixed model analyses in quanti-tative genetics by restricted maximum likelihood (REML). Journal of Zhejiang University Science B 8(11): 815– 21. DOI: https://doi.org/10.1631/jzus.2007.B0815
Mohammadi H, Moradi Shahrebabak M, Moradi Shahrebabak H, Bahrami A and Dorostkar M. 2013. Model comparisons and genetic parameter estimates of growth and the Kleiber ratio in Shal sheep. Archive Tierzucht 56(26): 264–75. DOI: https://doi.org/10.7482/0003-9438-56-026
Mokhtari M S, Moradi S M, Moradi S H and Sadeghi M. 2013. Estimation of (co) variance components and genetic parameters for growth traits in Arman sheep. Journal of Livestock Science and Technology 1: 35–43.
Ngere L, Burke J, Notter D and Morgan J. 2017. Variance components for direct and maternal effects on body weights of Katahdin lambs. Animal Science 95(8): 3396–405. DOI: https://doi.org/10.2527/jas.2017.1596
Prakash V, Prince L L L, Gowane G R and Arora A L. 2012. The estimation of (co) variance components and genetic parameters for growth traits and Kleiber ratios in Malpura sheep of India. Small Ruminant Research 108: 54–58. DOI: https://doi.org/10.1016/j.smallrumres.2012.07.018
Prakash V, Prince L L L, Sharma R C and Kumar A. 2017. Growth and prolificacy performance of Garole sheep raised under semi-arid conditions. Indian Journal of Animal Sciences 87(10): 1264–68.
Schwarz G. 1978. Estimating the dimension of a model. Annals of Statistics 6: 461–64. DOI: https://doi.org/10.1214/aos/1176344136
SPSS. 2011. IBM Corp. Released 2011. IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY.
Downloads
Submitted
Published
Issue
Section
License
The copyright of the articles published in The Indian Journal of Animal Sciences is vested with the Indian Council of Agricultural Research, which reserves the right to enter into any agreement with any organization in India or abroad, for reprography, photocopying, storage and dissemination of information. The Council has no objection to using the material, provided the information is not being utilized for commercial purposes and wherever the information is being used, proper credit is given to ICAR.