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Direct and maternal genetic parameters for growth traits in Jersey crossbred cattle

Published online by Cambridge University Press:  27 May 2024

Nunhlupuii Vangchhia ,
Indrajit Gayari ,
Mokidur Rahman ,
Sylvia Lalhmingmawii ,
Champak Bhakat ,
Hasan Baneh  and
Ajoy Mandal Open the ORCID record for Ajoy Mandal [Opens in a new window]
Nunhlupuii Vangchhia
Affiliation:
ICAR-National Dairy Research Institute, Eastern Regional Station, Kalyani, West Bengal, India
Indrajit Gayari
Affiliation:
ICAR-National Dairy Research Institute, Eastern Regional Station, Kalyani, West Bengal, India
Mokidur Rahman
Affiliation:
ICAR-National Dairy Research Institute, Eastern Regional Station, Kalyani, West Bengal, India
Sylvia Lalhmingmawii
Affiliation:
ICAR-National Dairy Research Institute, Eastern Regional Station, Kalyani, West Bengal, India
Champak Bhakat
Affiliation:
ICAR-National Dairy Research Institute, Eastern Regional Station, Kalyani, West Bengal, India
Hasan Baneh
Affiliation:
Project Center for Agro Technologies, Skolkovo Institute of Science and Technology, Moscow, Russia
Ajoy Mandal*
Affiliation:
ICAR-National Dairy Research Institute, Eastern Regional Station, Kalyani, West Bengal, India
*
Corresponding author: Ajoy Mandal; Email: ajoymandal@gmail.com
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Abstract

Growth data on Jersey crossbred calves, maintained at ICAR-National Dairy Research Institute, Eastern Regional Station, Kalyani, Nadia, West Bengal, India, were collected and analysed to assess the influence of maternal effects on growth traits of calves. Traits considered for this study were birth weight (BW) and weights at 3 months (W3M), 6 months (W6M), 9 months (W9M) and 12 months (W12M) of age. Least-squares analyses were employed to obtain the effects of non-genetic factors on the traits of interest. Determination of influence of maternal effects on growth traits was estimated by fitting three univariate animal models (including or excluding maternal effects) using Bayesian approach. The most appropriate model for each trait was selected based on Deviance Information Criterion. Direct heritability (h2) estimates for BW, W3M, W6M, W9M and W12M were 0.31 ± 0.08, 0.26 ± 0.10, 0.48 ± 0.10, 0.44 ± 0.11 and 0.39 ± 0.14, respectively, under the best model. Permanent environmental maternal effects (c2) varied from 0.04 to 0.12 for all traits. Existence of maternal effects for all ages reflects the importance of maternal components for these traits. Moderate to high heritability estimates for growth traits indicate the possibility of modest genetic progress for these traits through selection under prevalent management system.

Keywords

animal modelcattlegenetic parametersgrowth traitsmaternal effects
Type
Animal Research Paper
Information
The Journal of Agricultural Science , First View , pp. 1 - 8
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Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

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References

Abera, H, Abegaz, S and Mekasha, Y (2012) Influence of non-genetic factors on growth traits of Horro (Zebu) and their crosses with Holstein Friesian and Jersey cattle. International Journal of Livestock Production 3, 72–77.Google Scholar
Afroz, MA, Hoque, MA and Bhuiyan, AKFH (2011) Estimation of heritability for growth traits of Red Chittagong cattle in a nucleus herd. Bangladesh Veterinarian 28, 39–46.CrossRefGoogle Scholar
Almasri, OAK, AL-Dakkak, M, Abo-Bakr, S and Ibrahim, MA (2020) Genetic and environmental influences on birth weight, weaning weight and average daily gain of Holstein calves in Syrian coast conditions. Egyptian Journal of Animal Production 57, 127–132.CrossRefGoogle Scholar
Aziz, MA, Nishida, S, Suzuki, K and Nishida, A (2005) 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. Journal of Animal Science 83, 519–530.CrossRefGoogle Scholar
Bitew, A, Taye, M, Kebede, A, Mekuriaw, G, Tassew, A, Mulugeta, T and Goshu, G (2010) Milk yield and calf growth performance of cattle under partial suckling system at Andassa Livestock Research Centre, North West Ethiopia. Livestock Research for Rural Development 22, 136. Available at http://www.lrrd.org/lrrd22/8/bite22136.htmGoogle Scholar
Carvalho, FED, Espigolan, R, Berton, MP, Neto, JBS, Silva, RPD, Grigoletto, L, Silva, RMDO, Ferraz, JBS, Eler, JP, Aguilar, I, Lobo, RB and Baldi, F (2020) Genome-wide association study and predictive ability for growth traits in Nellore cattle. Livestock Science 231, 103861.CrossRefGoogle Scholar
Chen, J, Zhu, HB, Wang, D, Wang, FQ, Hao, HS, Du, WH and Zhao, XM (2012) Estimation of genetic parameters for growth traits in a crossbred population derived from Piedmontese and Nanyang cattle using a multi-trait animal model. Journal of Animal and Veterinary Advances 11, 1570–1573.Google Scholar
Choi, SB, Lee, JW, Choy, YH, Na, KJ and Kim, NS (2005) Estimates of parameters for genetic relationship between reproductive performances and body condition score of Hanwoo cows. Asian-Australasian Journal of Animal Sciences 18, 909–914.CrossRefGoogle Scholar
Chud, TC, Caetano, SL, Buzanskas, ME, Grossi, DA, Guidolin, DG, Nascimento, GB, Rosa, JO, Lobo, RB and Munari, DP (2014) Genetic analysis for gestation length, birth weight, weaning weight, and accumulated productivity in Nellore beef cattle. Livestock Science 170, 16–21.CrossRefGoogle Scholar
Cortes-Lacruz, X, Casasus, I, Revilla, R, Sanz, A, Blanco, M and Villalba, D (2017) The milk yield of dams and its relation to direct and maternal genetic components of weaning weight in beef cattle. Livestock Science 202, 143–149.CrossRefGoogle Scholar
Dezfuli, BT and Mashayekhi, MR (2009) Genetic study of birth weight and weaning weight in Najdi calves. Journal of Animal and Veterinary Advances 8, 276–280. Available at https://medwelljournals.com/abstract/?doi=javaa.2009.276.280Google Scholar
Eler, JP, Van Vleck, LD, Ferraz, JB and Lobo, RB (1995) Estimation of variances due to direct and maternal effects for growth traits of Nellore cattle. Journal of Animal Science 73, 3253–3258.CrossRefGoogle Scholar
Gessesse, T, Dagnew, Y, Abegaz, S and Tesfa, A (2021) Growth performance and survival rate of Fogera and their crossbred calves at government ranches in Ethiopia. Frontiers in Animal Science 2, 745682.CrossRefGoogle Scholar
Gutierrez, JP, Goyache, F, Fernandez, I, Alvarez, I and Royo, LJ (2007) Genetic relationships among calving ease, calving interval, birth weight, and weaning weight in the Asturiana de los Valles beef cattle breed. Journal of Animal Science 85, 69–75.CrossRefGoogle ScholarPubMed
Haile, A, Joshi, BK, Ayalew, W, Tegegne, A and Singh, A (2011) Genetic evaluation of Ethiopian Boran cattle and their crosses with Holstein Friesian for growth performance in central Ethiopia. Journal of Animal Breeding and Genetics 128, 133–140.CrossRefGoogle ScholarPubMed
Harvey, WR (1990) Users' Guide for LSMLMW and MIXMDL, Mixed Model Least Squares and Maximum Likelihood Computer Program. PC-2 Version. Columbus, USA: The Ohio State University.Google Scholar
Hussein, EMA, Kamal El-den, MA, Sanad-Safaa, S and Shehab El-Din, MI (2022) Estimation of direct and maternal genetic parameters for pre-weaning growth traits in Friesian calves. Archives of Agriculture Sciences Journal 5, 58–71.CrossRefGoogle Scholar
Hwang, JM, Choi, JG, Kim, HC, Choy, YH, Kim, S, Lee, C and Kim, JB (2008) Genetic relationship of gestation length with birth and weaning weight in Hanwoo (Bos taurus coreanae). Asian-Australasian Journal of Animal Sciences 21, 633–639.CrossRefGoogle Scholar
Khan, MA, Mirza, RH, Akhtar, M, Mubeen, M, Shakeel, M and Irfan, M (2019) Factors affecting growth performances of Simmental, Angus, Charolais and Hereford beef crossbred calves under sub-tropical environment of Pakistan. Journal of Animal and Plant Sciences 29, 396–401. Available at http://www.thejaps.org.pk/docs/V-29-02/07.pdfGoogle Scholar
Koloi, S and Mandal, A (2020) Genetic analysis of persistency indices of milk yield in Jersey crossbred cattle. Journal of Dairy Research 87, 330–333.CrossRefGoogle ScholarPubMed
Kumar, A and Mandal, A (2021) Evaluation of animal models to explore the influence of maternal genetic and maternal permanent environment effect on reproductive performance of Jersey crossbred cattle. Reproduction in Domestic Animals 56, 511–518.CrossRefGoogle ScholarPubMed
Lopes, FB, Magnabosco, CU, Paulini, F, da Silva, MC, Miyagi, ES and Lobo, RB (2013) Genetic analysis of growth traits in polled Nellore cattle raised on pasture in tropical region using Bayesian approaches. PLoS ONE 8, e75423.CrossRefGoogle ScholarPubMed
Lopez, BI, Santiago, KG, Seo, K, Jeong, T, Park, JE, Chai, HH, Park, W and Lim, D (2020) Genetic parameters of birth weight and weaning weight and their relationship with gestation length and age at first calving in Hanwoo (Bos taurus coreanae). Animals 10, 1083.CrossRefGoogle ScholarPubMed
Majoya, AM, Khobondo, JO, Tura, S and Muasya, TK (2022) Genetic variation and parameters for growth and feed efficiency traits in Boran beef cattle in Kenya. International Journal of Veterinary Sciences and Animal Husbandry 7, 41–45.Google Scholar
Martinez, RA, Dassonneville, R, Bejarano, D, Jimenez, A, Even, G, Meszaros, G and Sölkner, J (2016) Direct and maternal genetic effects on growth, reproduction, and ultrasound traits in zebu Brahman cattle in Colombia. Journal of Animal Science 94, 2761–2769.CrossRefGoogle ScholarPubMed
Meyer, K (1992) Variance components due to direct and maternal effects for growth traits of Australian beef cattle. Livestock Production Science 31, 179–204.CrossRefGoogle Scholar
Misztal, I (1999) GIBBS3F90 Manual. Available at http://nce.ads.uga.edu/igancy/numpub/bilupf90/docs/gibbs3f90.pdfGoogle Scholar
Misztal, I, Tsuruta, S, Lourenço, D, Aguilar, I, Legara, A and Vitezica, Z (2014) Manual for BLUPF90 Family of Programs. Athens: University of Georgia.Google Scholar
Nahar, S, Islam, AFMF, Hoque, MA and Bhuiyan, AKFH (2016) Animal performance of indigenous Red Chittagong cattle in Bangladesh. Acta Scientiarum Animal Sciences 38, 177–182.CrossRefGoogle Scholar
Pires, BC, Tholon, P, Buzanskas, ME, Sbardella, AP, Rosa, JO, da Silva, LOC, de Almeida Torres, RA, Munari, DP and de Alencar, MM (2016) Genetic analyses on body weight, reproductive, and carcass traits in composite beef cattle. Animal Production Science 57, 415–421.CrossRefGoogle Scholar
Rabeya, T, Bhuiyan, AKFH, Habib, MA and Hossain, MS (2009) Phenotypic and genetic parameters for growth traits in Red Chittagong Cattle of Bangladesh. Journal of the Bangladesh Agricultural University 7, 265–271.CrossRefGoogle Scholar
Rahman, SMA, Bhuiyan, MSA and Bhuiyan, AKFH (2015) Effects of genetic and non-genetic factors on growth traits of high yielding dairy seed calves and genetic parameter estimates. Journal of Advanced Veterinary and Animal Research 2, 450–457.CrossRefGoogle Scholar
Ramírez, TEJ, Burgos Paz, WO, Elzo, MA, Martinez Sarmiento, RA and Ceron-Munoz, MF (2020) Genetic parameters and trends for growth traits in Blanco Orejinegro cattle. Translational Animal Science 4, 1–9.Google Scholar
Rezende, MPG, Malhado, CHM, Biffani, S, Carrillo-Tabakman, JA, Fabbri, MC, Crovetti, A, Carneiro, PLS and Bozzi, R (2022) Heritability and genetic correlation of body weight and Kleiber ratio in Limousin and Charolais beef cattle breeds. Animal: An International Journal of Animal Bioscience 16, 100528.CrossRefGoogle ScholarPubMed
Ríos-Utrera, A, Vega-Murillo, VE, Martinez-Velazquez, G and Montano-Bermudez, M (2011) Comparison of models for the estimation of variance components for growth traits of registered Limousin cattle. Tropical and Subtropical Agroecosystems 14, 667–674.Google Scholar
Robison, OW (1981) The influence of maternal effects on the efficiency of selection; a review. Livestock Production Science 8, 121–137.CrossRefGoogle Scholar
Rumph, JM, Koch, RM, Gregory, KE, Cundiff, LV and Van Vleck, LD (2002) Comparison of models for estimation of genetic parameters for mature weight of Hereford cattle. Journal of Animal Science 80, 583–590.CrossRefGoogle ScholarPubMed
Sadeghi, SAT, Rokouei, M, Valleh, MV, Abbasi, MA and Faraji-Arough, H (2020) Estimation of additive and non-additive genetic variance component for growth traits in Adani goats. Tropical Animal Health and Production 52, 733–742.CrossRefGoogle ScholarPubMed
Sagar, NG, Baranwal, A, Saini, BL, Kumar, S and Prasad, AR (2017) Effect of non-genetic factors on the growth traits of Vrindavani cattle. International Journal of Livestock Research 7, 224–230.Google Scholar
Sahin, A, Ulutas, Z, Yilmaz Adkinson, A and Adkinson, RW (2012) Estimates of phenotypic and genetic parameters for birth weight of Brown Swiss calves in Turkey using an animal model. Tropical Animal Health and Production 44, 1027–1034.CrossRefGoogle ScholarPubMed
Schiermiester, LN, Thallman, RM, Kuehn, LA, Kachman, SD and Spangler, ML (2015) Estimation of breed-specific heterosis effects for birth, weaning, and yearling weight in cattle. Journal of Animal Science 93, 46–52.CrossRefGoogle ScholarPubMed
Setiaji, R, Rohadi, M, Widyas, N and Prastowo, S (2022) The effect of non-genetic factors on Bali Cattle (Bos javanicus) growth traits. In IOP Conference Series: Earth and Environmental Science 1020, 12001.Google Scholar
Shi, MJ, Laloe, D, Menissier, F and Renand, G (1993) Estimation of genetic parameters of preweaning performance in the French Limousin cattle breed. Genetics Selection Evolution 25, 177–189.CrossRefGoogle Scholar
Smith, T, Domingue, JD, Paschal, JC, Franke, DE, Bidner, TD and Whipple, G (2007) Genetic parameters for growth and carcass traits of Brahman steers. Journal of Animal Science 85, 1377–1384.CrossRefGoogle ScholarPubMed
Spiegelhalter, DJ, Best, NG, Carlin, BP and van der Linde, A (2002) Bayesian measures of model complexity and fit (with discussion and rejoinder). Journal of the Royal Statistical Society Series B 64, 583–639.CrossRefGoogle Scholar
Waldron, DF, Morris, CA, Baker, RL and Johnson, DL (1993) Maternal effects for growth traits in beef cattle. Livestock Production Science 34, 57–70.CrossRefGoogle Scholar
Wasike, CB, Ilatsia, ED, Ojango, JMK and Kahi, AK (2006) Genetic parameters for weaning weight of Kenyan Boran cattle accounting for direct-maternal genetic covariances. South African Journal of Animal Science 36, 275–281. Available at https://hdl.handle.net/10520/EJC94494Google Scholar
Wasike, CB, Indetie, D, Ojango, JMK and Kahi, AK (2009) Direct and maternal (co) variance components and genetic parameters for growth and reproductive traits in the Boran cattle in Kenya. Tropical Animal Health and Production 41, 741–748.CrossRefGoogle ScholarPubMed
Willham, RL (1972) The role of maternal effects in animal breeding: III. Biometrical aspects of maternal effects in animals. Journal of Animal Science 35, 1288–1293.CrossRefGoogle Scholar