Browse > Article
http://dx.doi.org/10.5713/ajas.19.0651

Genetic parameters and principal components analysis of breeding value for birth and weaning weight in Egyptian buffalo  

Salem, Mohamed Mahmoud Ibrahim (Department of Animal and Fish Production, Faculty of Agriculture, University of Alexandria)
Amin, Amin Mohamed Said (Animal Production Research Institute, Agricultural Research Center)
Ashour, Ayman Fouad (Animal Production Research Institute, Agricultural Research Center)
Ibrahim, Mohamed Mohamed El-said (Animal Production Research Institute, Agricultural Research Center)
Abo-Ismail, Mohammed Kotb (Animal science Department, College of Agriculture, Food and Environmental Sciences, California Polytechnic State University)
Publication Information
Animal Bioscience / v.34, no.1, 2021 , pp. 12-19 More about this Journal
Abstract
Objective: The objectives of the current study were to study the main environmental factors affecting birth weight (BW) and weaning weight (WW), estimate variance components, genetic parameters and genetic trend and to evaluate the variability and relationships among breeding value of BW and WW using principal components analysis (PCA). Methods: A total of 16,370 records were collected from 8,271 buffalo calves. Genetic parameters and breeding values were estimated using a bivariate animal model which includes direct, maternal and permanent maternal effects. These estimates were standardized and used in PCA. Results: The direct heritability estimates were 0.06 and 0.41 for BW and WW, respectively whereas direct maternal heritability values were 0.03 and 0.14, respectively. Proportions of variance due to permanent environmental effects of dam were 0.455 and 0.280 for BW and WW respectively. The genetic correlation between BW and WWs was weak approaching zero, but the maternal correlation was 0.26. The first two principal components (PC1 and PC2) were estimated utilizing the standardized breeding values according to Kaiser method. The total variance explained by the first two PCs was 71.17% in which 45.91% and 25.25% were explained by PC1 and PC2, respectively. The direct breeding values of BW were related to PC2 but those of WW and maternal breeding values of BW and WWs were associated with PC1. Conclusion: The results of genetic parameters and PCA indicate that BW and WWs were not genetically correlated and improving growth traits of Egyptian buffaloes could be achieved using WW without any adverse effect by BW.
Keywords
Genetic Analysis; Growth Traits; Multivariate Techniques;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Ahmad M, Javed K, Rehman A. Environmental factors affecting some growth traits in Nili-Ravi buffalo calves. 7th World Congress on Genetics Applied to Livestock Production; 2002 Aug 19-23: Montpellier, France.
2 Lopes CRdA, Barbosa SBP, Pereira RGdA, Santoro KR, Lira AVd. Reproductive performance, genetic and environmental effects on birth weight of Buffaloes in Rondonia State. R Bras Zootec 2008;37:1595-600. https://doi.org/10.1590/S1516-35982008000900010   DOI
3 Gupta JP, Sachdeva GK, Gandhi RS, Chakaravarty AK. Developing multiple-trait predection models using growth and production traits in Murraha buffalo. Buffalo Bulletin 2015;34:347-55.
4 Malhado M, Ramos A, Carneiro S, de Souza JC, Lamberson WR. Genetic and phenotypic trends for growth traits of buffaloes in Brazil. Ital J Anim Sci 2007;6:325-7. https://doi.org/10.4081/ijas.2007.s2.325   DOI
5 Gowane GR, Chopra A, Prakash V, Prince LLL. The role of maternal effects in sheep breeding: a review. Ind J Small Rumin 2014;20:1-11.
6 Bolivar DM, Ceron-Munoz MF, Boligon AA, Elzo MA, Herrera AC. Genetic parameters for body weight in buffaloes (Bubalus bubalis) in Colombia using random regression models. Livest Sci 2013;158:40-9. https://doi.org/10.1016/j.livsci.2013.10.015   DOI
7 Meyer K. Variance components due to direct and maternal effects for growth traits of Australian beef cattle. Livest Prod Sci 1992;31:179-204. https://doi.org/10.1016/0301-6226(92)90017-X   DOI
8 Meyer K. Estimates of direct and maternal covariance functions for growth of Australian beef calves from birth to weaning. Genet Sel Evol 2001;33:487. https://doi.org/10.1186/12979686-33-5-487   DOI
9 Ashmawy AA, El-Bramony MM. Genetic association for some growth and reproductive traits in primiparous buffalo females. Int J Genet 2017;7:25-30.
10 Aziz MA, Nishida A, Suzuki K, Nishida S. Estimation of direct and maternal genetic and permanent environmental effects for weights from birth to 356 days of age in a herd of Japanese Black cattle using random regression. J Anim Sci 2005;83:519-30. https://doi.org/10.2527/2005.833519x   DOI
11 Eisen EJ, Hanrahan JP, Legates JE. Effects of population size and selection intensity on correlated responses to selection for postweaning gain in mice. Genetics 1973;74:157-70.   DOI
12 Meyer K. Estimates of genetic parameters for weaning weight of beef cattle accounting for direct-maternal environmental covariances. Livest Prod Sci 1997;52:187-99. https://doi.org/10.1016/S0301-6226(97)00144-9   DOI
13 Gutierrez JP, Goyache F, Alvarez I, Fernandez I, Royo LJ. Genetic relationships among calving ease, calving interval, birth weight, and weaning weight in the Asturiana de los Valles beef cattle breed. J Anim Sci 2007;85:69-75. https://doi.org/10.2527/jas.2006-168   DOI
14 El-Saied UM, Fuente LF, Rodriguez R, Primitivo FS. Genetic parameter estimates for birth and weaning weights, preweaning daily weight gain and three type traits for Charolais beef cattle in Spain. Span J Agric Res 2006;4:146-55.   DOI
15 Aguiari JFd, Marcondes CR, Marques JRF, et al. Genetic variability of birth weight and selection for growth of water buffaloes from State of Para, Brazil. Acta Amazon 2014;44:373-8.   DOI
16 Boligon AA, Bignardi AB, Mercadante MEZ, Lobo RB, Albuquerque LG. Principal components and factor analytic models for birth to mature weights in Nellore cattle. Livest Sci 2013;152:135-42. https://doi.org/10.1016/j.livsci.2013.01.005   DOI
17 Meyer K. Multivariate analyses of carcass traits for Angus cattle fitting reduced rank and factor analytic models. J Anim Breed Genet 2007;124:50-64. https://doi.org/10.1111/j.1439-0388.2007.00637.x   DOI
18 Akhtar P, Kalsoom U, Ali S, et al. Genetic and phenotypic parameters for growth traits of Nili-Ravi buffalo heifers in Pakistan. J Anim Plant Sci 2012;22:347-52.
19 FAOSTAT. FAO Statistics Division. Rome, Italy: FAO; 2016.
20 Salem MMI, Amin AMS. Risk factors and genetic evaluation of stillbirth trait in buffalo. Livest Sci 2017;206:132-4. https://doi. org/10.1016/j.livsci.2017.10.020   DOI
21 Pandya GM, Joshi CG, Rank DN, et al. Genetic analysis of body weight traits of Surti buffalo. Buffalo Bulletin 2015;34:189-95.
22 Suhail SM, Qureshi MS, Khan S, Sanullah IH, Durrani FR. Inheritance of economic traits of dairy buffaloes in Pakistan. Sarhad J Agric 2009;25:87-93.
23 Le S, Josse J, Husson F. FactoMineR: a package for multivariate analysis. J Stat Softw 2008;25:1-18. https://doi.org/10.18637/jss.v025.i01   DOI
24 Boligon AA, Vicente IS, Vaz RZ, et al. Principal component analysis of breeding values for growth and reproductive traits and genetic association with adult size in beef cattle. J Anim Sci 2016;94:5014-22. https://doi.org/10.2527/jas.2016-0737   DOI
25 Agudelo-Gomez DA, Savegnago RP, Buzanskas ME, Ferraudo AS, Munari DP, Ceron-Munoz MF. Genetic principal components for reproductive and productive traits in dual-purpose buffaloes in Colombia. J Anim Sci 2015;93:3801-9. https://doi.org/10.2527/jas.2015-8940   DOI
26 Agudelo-Gomez D, Pineda-Sierra S, Ceron-Munoz MF. Genetic evaluation of dual-purpose buffaloes (Bubalus bubalis) in Colombia using principal component analysis. Plos One 2015;10:e0132811. https://doi.org/10.1371/journal.pone.0132811   DOI
27 SAS. SAS/STAT Software. Release 9.3, Cary, NC, USA: SAS Institute, Inc.; 2012.
28 Meyer K. WOMBAT - Digging deep for quantitative genetic analyses by restricted maximum likelihood. Proc. 8th World Congress of Genetics Applied for Livestock Production; 2006. Communication No. 27-14.17.
29 Buzanskas ME, Savegnago RP, Grossi DA, et al. Genetic parameter estimates and principal component analysis of breeding values of reproduction and growth traits in female Canchim cattle. Reprod Fertil Dev 2012;25:775-81. https://doi.org/10.1071/RD12132   DOI
30 Thiruvenkadan AK, Panneerselvam S, Rajendran R. Nongenetic and genetic factors influencing growth performance in Murrah Buffalos. S Afr J Anim Sci 2009;39 (Suppl 1):1026. https://doi.org/10.4314/sajas.v39i1.61326   DOI
31 Salem MMI, Hammoud MH. Estimates of heritability, repeatability and breeding value of some performance traits of Holstein cows in Egypt using repeatability animal model. Egyptian J Anim Prod 2016;53:147-52.   DOI
32 Jamrozik J, Miller SP. Genetic evaluation of calving ease in Canadian Simmentals using birth weight and gestation length as correlated traits. Livest Sci 2014;162:42-9. https://doi.org/10.1016/j.livsci.2014.01.027   DOI