Hostname: page-component-848d4c4894-hfldf Total loading time: 0 Render date: 2024-06-02T07:29:57.063Z Has data issue: false hasContentIssue false

Early growth performance in the Murciano-Granadina goats: insights from genetic and phenotypic analyses

Published online by Cambridge University Press:  09 May 2024

Morteza Mokhtari*
Affiliation:
Department of Animal Science, Faculty of Agriculture, University of Jiroft, Jiroft, Iran
Ali Esmailizadeh
Affiliation:
Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman, Iran
Zahra Roudbari
Affiliation:
Department of Animal Science, Faculty of Agriculture, University of Jiroft, Jiroft, Iran
Arsalan Barazandeh
Affiliation:
Department of Animal Science, Faculty of Agriculture, University of Jiroft, Jiroft, Iran
Juan Pablo Gutierrez
Affiliation:
Departamento de Produccion Animal, Universidad Complutense de Madrid, Avda. Puerta de Hierro s/n. E-28040, Madrid, Spain
Ehsan Mohebbinejad
Affiliation:
Ghale-Ganj dairy farm, Fajr Isfahan Agricultural and Livestock Company, Isfahan, Iran
*
Corresponding author: Morteza Mokhtari; Email: msmokhtari@ujiroft.ac.ir

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.

Type
Animal Research Paper
Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abbasi, MA, Abdollahi-Arpanahib, R, Maghsoudi, A, Vaez Torshizi, R 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 104, 6269.CrossRefGoogle Scholar
Aguirre, E, Mattos, E, Eler, J, Barreto Neto, A and Ferraz, J (2016) Estimation of genetic parameters and genetic changes for growth characteristics of Santa Ines sheep. Genetics and Molecular Research 15, 112.CrossRefGoogle ScholarPubMed
Akaike, H (1974) A new look at the statistical model identification. IEEE Transactions on Automatic Control 19, 716723.CrossRefGoogle Scholar
Baneh, H, Najafi, M and Rahimi, G (2012) Genetic parameter estimates for early growth traits in Naeini goat. Animal Production Science 52, 10461051.CrossRefGoogle Scholar
Bangar, YC, Magotra, A and Yadav, AS (2020) Variance components and genetic parameter estimates for pre-weaning and post-weaning growth traits in Jakhrana goat. Small Ruminant Research 193, 106278.CrossRefGoogle Scholar
Barazandeh, A, Moghbeli, SM, Vatankhah, M and Mohammadabadi, M (2012) Estimating non genetic and genetic parameters of pre-weaning growth traits in Raini Cashmere goat. Tropical Animal Health and Production 44, 811817.CrossRefGoogle ScholarPubMed
Boujenane, I and Diallo, I (2017) Estimates of genetic parameters and genetic trends for pre-weaning growth traits in Sardi sheep. Small Ruminant Research 146, 6168.CrossRefGoogle Scholar
Castel, JM, Ruiz, FA, Mena, Y and Sanchez-rodríguez, M (2010) Present situation and future perspectives for goat production systems in Spain. Small Ruminant Research 89, 207210.CrossRefGoogle Scholar
Delgado, JV, Landi, V, Barba, CJ, Fernández, J, Gomez, MM, Camacho, ME, Martínez, MA, Navas, FJ and Leon, JM (2017) Murciano-Granadina goat: a Spanish local breed ready for the challenges of the twenty-first century. In Simoes, J and Gutierrez, C (eds), Sustainable Goat Production in Adverse Environments: Vol. II: Local Goat Breeds. Cham, Switzerland: Springer, pp. 205219.Google Scholar
Dige, M, Rout, P, Singh, M, Dass, G, Kaushik, R and Gowane, G (2021) Estimation of co (variance) components and genetic parameters for growth and feed efficiency traits in Jamunapari goat. Small Ruminant Research 196, 106317.CrossRefGoogle Scholar
Erdogan Atac, F, Takma, C, Gevrekci, Y, Ozi Altıncekic, S and Ayasan, T (2023) Estimates of genetic parameters for direct and maternal effects on pre-weaning growth traits in Turkish Saanen kids. Animals 13, 940.CrossRefGoogle ScholarPubMed
Falconer, DS and Mackay, TFC (1996) Introduction to Quantitative Genetics. Essex: Longman.Google Scholar
Ghafouri-Kesbi, F and Abbasi, MA (2019) Autosomal and X-linked additive genetic effects on body weight, body measurements and efficiency-related traits in sheep. Small Ruminant Research 180, 2126.CrossRefGoogle Scholar
Ghafouri-Kesbi, F and Eskandarinasab, MP (2008) An evaluation of maternal influences on growth traits: the Zandi sheep breed of Iran as an example. Journal of Animal and Feed Sciences 17, 519529.CrossRefGoogle Scholar
Ghafouri-Kesbi, F and Gholizadeh, M (2017) Genetic and phenotypic aspects of growth rate and efficiency related traits in sheep. Small Ruminant Research 149, 181187.CrossRefGoogle Scholar
Ghafouri-Kesbi, F, Zaman, P and Mokhtari, M (2022) Relative contribution of imprinting, X chromosome and litter effects to phenotypic variation in economic traits of sheep. Journal of Animal Breeding and Genetics 139, 611622.CrossRefGoogle ScholarPubMed
Gutierrez, JP and Goyache, F (2005) A note on ENDOG: a computer program for analysing pedigree information. Journal of Animal Breeding and Genetics 122, 357360.CrossRefGoogle ScholarPubMed
Hagger, C (1998) Litter, permanent environmental, ram-flock, and genetic effects on early weight gain of lambs. Journal of Animal Science 76, 452457.CrossRefGoogle ScholarPubMed
Hosseinzadeh Shirzeyli, F, Joezy-Shekalgorabi, S, Aminafshar, M and Razmkabir, M (2023) The estimation of genetic parameters and genetic trends for growth traits in Markhoz goats. Small Ruminant Research 218, 106886.CrossRefGoogle Scholar
Magotra, A, Bangar, YC, Chauhan, A, Malik, BS and Malik, ZS (2021) Influence of maternal and additive genetic effects on offspring growth traits in Beetal goat. Reproduction in Domestic Animals 56, 983991.CrossRefGoogle ScholarPubMed
Maniatis, N and Pollott, GE (2003) The impact of data structure on genetic (co)variance components of early growth in sheep, estimated using an animal model with maternal effects. Journal of Animal Science 81, 101108.CrossRefGoogle ScholarPubMed
Martinez, AM, Vega-Pla, JL, Leon, JM, Camacho, ME, Delgado, JV and Ribeiro, MN (2010) Is the Murciano-Granadina a single goat breed? A molecular genetics approach. Arquivo Brasileiro de Medicina Veterinária e Zootecnia 62, 11911198.CrossRefGoogle Scholar
Menezes, LM, Sousab, WH, Cavalcanti-Filhoc, EP and Gamad, LT (2016) Genetic parameters for reproduction and growth traits in Boer goats in Brazil. Small Ruminant Research 136, 247 256.CrossRefGoogle Scholar
Meyer, K (2013) WOMBAT- A Programme for Mixed Model Analyses by Restricted Maximum Likelihood. User Notes, Animal Genetics and Breeding Unit, Armidale, Australia.Google Scholar
Mohammadi, H, Moradi Shahrebabak, M and Moradi Shahrebabak, H (2012) Genetic parameter estimates for growth traits and prolificacy in Raeini Cashmere goats. Tropical Animal Health and Production 44, 12131220.CrossRefGoogle ScholarPubMed
Mokhtari, MS, Razmkabir, M, Ghiasi, H and Mohammadi, Y (2019) Genetic evaluation of growth rate and efficiency related traits in Raeini Cashmere goat. Iranian Journal of Applied Animal Science 9, 275282.Google Scholar
Mokhtari, M, Esmailizadeh, A, Mirmahmoudi, R, Gutierrez, JP and Modebbinejad, E (2023) Comparison of non-linear models and genetic parameter estimation for growth curve traits in the Murciano-Granadina goat breed. Small Ruminant Research 226, 107059.CrossRefGoogle Scholar
Oliveira, RR, Brasil, LHA, Delgado, JV, Peguezuelos, J, León, JM, Guedes, DGP, Arandas, JKG and Ribeiro, MN (2016) Genetic diversity and population structure of the Spanish Murciano-Granadina goat breed according to pedigree data. Small Ruminant Research 144, 170175.CrossRefGoogle Scholar
Rashidi, A, Sheikhahmadi, M, Rostamzadeh, J and Shrestha, JNB (2008) Genetic and phenotypic parameter estimates of body weight at different ages and yearling fleece weight in Markhoz goats. Asian-Australian Journal of Animal Science 21, 13951403.CrossRefGoogle Scholar
Rashidi, A, Bishop, SC and Matika, O (2011) Genetic parameter estimates for pre-weaning performance and reproduction traits in Markhoz goats. Small Ruminant Research 100, 100106.CrossRefGoogle Scholar
Rout, PK, Matika, O, Kaushik, R, Dige, MS, Dass, G, Singh, MK and Bhusan, S (2018) Genetic analysis of growth parameters and survival potential of Jamunapari goats in semiarid tropics. Small Ruminant Research 165, 124130.CrossRefGoogle ScholarPubMed
SAS (Statistical Analysis System) (2004) SAS User's Guide, Version 9.1. Cary, North Carolina, USA: SAS Institute Inc.Google Scholar
Singh, MK, Dige, MS, Pourouchottamane, R, Kumar, A and Gowane, GR (2022) Influences of maternal factors on the estimate of genetic parameters for goat feed efficiency traits. Tropical Animal Health and Production 54, 376384.CrossRefGoogle ScholarPubMed
Snyman, MA, Erasmus, GJ, Van Wyk, JB and Olivier, JJ (1995) Direct and maternal (co)variance components and heritability estimates for body weight at different ages and fleece traits in Afrino sheep. Livestock Production Science 44, 229235.CrossRefGoogle Scholar
Tesema, Z, Alemayehu, K, Getachew, T, Kebede, D, Deribe, B, Taye, M, Tilahun, M, Lakew, M, Kefale, A, Belayneh, N, Zegeye, A and Yizengaw, L (2020) Estimation of genetic parameters for growth traits and Kleiber ratios in Boer x Central Highland goat. Tropical Animal Health and Production 52, 31953205.CrossRefGoogle ScholarPubMed
Tosh, JJ and Kemp, RA (1994) Estimation of variance components for lamb weights in three sheep populations. Journal of Animal Science 72, 11841190.CrossRefGoogle ScholarPubMed
Wang, R, Liu, Y, Shi, Y, Qi, Y, Li, Y, Wang, Z, Zhang, Y, Zhao, Y, Su, R and Li, J (2023) Study of genetic parameters for pre-weaning growth traits in inner Mongolia white Arbas cashmere goats. Frontiers in Veterinary Science 9, 1026528.CrossRefGoogle ScholarPubMed
Wilson, AJ and Reale, D (2006) Ontogeny of additive and maternal genetic effects: lessons from domestic mammals. The American Naturalist 167, E23E38.CrossRefGoogle ScholarPubMed
Zishiri, OT, Cloete, SWP, Olivier, JJ and Dzama, K (2013) Genetic parameters for growth, reproduction and fitness traits in the South African Dorper sheep breed. Small Ruminant Research 112, 3948.CrossRefGoogle Scholar
Zurita-Herrera, P, Delgado, JV, Arguello, A and Camacho, ME (2011) Multivariate analysis of meat production traits in Murciano-Granadina goat kids. Meat Science 88, 447453.CrossRefGoogle ScholarPubMed