Performance evaluation and trends estimation of production and reproduction traits in Frieswal cattle under field progeny testing
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Keywords:
Environmental trend, Frieswal, Genetic trend, Phenotypic trend, Production traits, Reproduction traitsAbstract
The objective of animal breeding is to optimize the genetic gain per unit time and to assess this gain per unit time, it is therefore, necessary to separate the environmental component from overall phenotypic gain. The data spanning over a period of nine years (2013-2021), pertaining to Frieswal cattle maintained at Pantnagar centre of AICRP- FPT was analyzed and the overall means of 806.30±6.93, 1084.17±6.93, 277.87±0.17, 12.89±0.07, 3060.12±15.66, 3.51±0.01, 310.53±0.43, 373.15±0.44, 95.28±0.48, 1.46±0.03 and 62.62±0.15 for age at sexual maturity (ASM), age at first calving (AFC), gestation period (GP), test day peak yield (TDPY), 305-days milk yield (305D-MY),fat percentage (FP), lactation length (LL), calving interval (CI), service period (SP), number of services per conception (NSPC) and dry period (DP), respectively. The corresponding overall breeding values for these traits were observed as 800.61, 1064.51, 277.64, 13.02, 3163.24, 3.474, 310.00, 372.58, 94.42, 1.468 and 62.57, respectively. The product moment correlations and Spearman rank correlations ranged from low to very high. The estimated phenotypic, genetic, and environmental trends were in positive direction for ASM, AFC, TDPY, 305D-MY and DP whereas in negative direction for GP, FP, LL, CI, SP and NSPC. The results revealed that improvement in the herd has been achieved with respect to TDPY and 305D-MY, however, some deterioration in traits viz. ASM, AFC, Fat % and DP.
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References
Ambhore G S, Singh A, Deokar D K, Singh M and Sahoo S K. 2017. Phenotypic, genetic and environmental trends of production traits in Phule Triveni synthetic cow. Indian Journal of Animal Sciences 87(6): 736–41.
Baba M A, Ganai T A S, Rather M A, Hamadani A, Shanaz S, Alam S and Khan N N. 2020. Estimation of genetic, phenotypic and environmental trends for production and reproduction traits in a flock of Corriedale sheep. The Indian Journal of Animal Sciences 90(6), 890–2.
Balasubramaniam S, Singh M, Gowane G R and Kumar S. 2013. Estimate of genetic and non-genetic parameters and trends for age at first calving in Sahiwal cows. The Indian Journal of Animal Sciences 83(9): 948–52.
Dash S K, Gupta A K, Singh A, Chakravarty A K, Valsalan J, Shivahre P R, Panmei A and Divya P. 2016. Analysis of genetic trend in fertility and production traits of Karan Fries (Holstein Friesian crossbred) cattle using BLUP estimation of breeding values. Indian Journal Dairy Science 69(2): 186-9.
Durán-Alvarez C, García-Ruiz A, Alonso Morales R A, Eguiarte L E and Ruiz-López F D J. 2023. Genetic parameters, correlations and trends of reproductive traits in Holstein cattle from Mexico. Revista mexicana de ciencias pecuarias 14(3): 539-55.
Girimal D G, Kumar D, Shahi B N, Ghosh A K and Kumar S. 2020. Studies on some reproduction and first lactation milk yield traits in Sahiwal and crossbred cattle. Journal of Veterinary Medicine and Animal Sciences 3(1): 1019.
Gupta J P, Prajapati B M, Chaudhari J D, Pandey D P, Panchasara H H and Prajapati K B. 2019. Impact of environmental trend in relation to genotypic and phenotypic trend on traits of economic interest in Kankrej cattle. Indian Journal of Animal Sciences 89(11): 1255–61.
Hammoud M H and Salem M M I. 2013. The genetic evaluation of some first lactation traits of Holstein cows in Egypt. Alexandria Journal of Agricultural Research 58: 1–8.
Harvey W R. 1990. User’s guide for LSMLMW and MIXMDL, PC-2 version, Mixed Model Least Squares and Maximum Likely hood Computer Program, USA, ARS.
Ibrahim M A M, Rushdi H E, Abdel-Salam S A M and Abou-Bakr S. 2009. Genetic and phenotypic trends of calving interval and age at first calving in a commercial Holstein herd. Egyptian Journal of Animal Production 46(2): 103-12.
Kramer C R. 1957. Extension of multiple range tests to group correlated means. Biometrics 13(1): 13–8.
Kumar R, Das A K, Raja T V, Rathee S K, Dubey P P and Prakash B. 2017. Performance of crossbred cattle (HF× Sahiwal) under tropical farming conditions of Punjab. Indian Journal of Animal Sciences 87(11): 1402-5.
Minj, S K, Singh, D V, Singh C B, Prasad S, Kumar S and Kumar A. 2016. Non-genetic factors affecting first lactation reproduction traits of frieswal heifers/cows under field conditions. Indian Journal of Animal Production and Management 32(3-4):166- 73.
Mostert B E, Van der Westhuizen R R and Theron H E. 2010. Calving interval genetic parameters and trends for dairy breeds in South Africa. South African Journal of Animal Science 40(2): 156-62.
Mukherjee S. 2005. Genetic Evaluation of Frieswal cattle. Ph.D Thesis, National Dairy Research Institute (Deemed University), Karnal, India.
Meyer K. 2007. WOMBAT-A tool for mixed model analyses in quantitative genetics by REML. Journal of Zhejiang University Science B 8: 815–21.
Nehara M, Singh A, Gandhi R S, Chakravarty A K, Gupta A K, Sachdeva G K and Singh R K. 2012. Phenotypic, genetic and environmental trends of milk production traits in Karan Fries cattle. Indian Journal Dairy Sciences 65(3): 242–5.
Lodhi G, Singh C V, Barwal R S, Shahi B N and Dalal D S. 2015. Estimation of breeding values by different sire evaluation methods for selection of sires in crossbred cattle. Journal of Veterinary Science & Medical Diagnosis 4: 1-5.
Prasanna J S, Rao S T, Prakash M G, Rathod S, Kalyani P and Sharma M R. 2023. Production and reproduction performance of sahiwal and HF× sahiwal cows. Indian Journal of Animal Research 57(6): 698-701.
Ratwan P, Chakravarty A K, Kumar M, Gupta A K, Lathwal S S and Malhotra R. 2018. Production performance and estimation of genetic parameters of production traits in Sahiwal cattle. Indian Journal of Dairy Science 71(6): 592-7.
Ratwan P, Kumar M and Chakravarty A K. 2024. Bayesian approach for assessment of co-variances and genetic parameters of economically important traits in Sahiwal cattle. Tropical Animal Health and Production 56(8): 299. doi: 10.1007/s11250-024-04148-y.
Roshanfekr H, Berg P, Mohammadi K and Mohamadi M E. 2015. Genetic parameters and genetic gains for reproductive traits of Arabi sheep. Biotechnology in Animal Husbandry 31(1): 23-36.
Sahin A, Ulutas Z, Adkinson A Y and Adkinson R W. 2012. Genetic and environmental parameters and trends for milk production of Holstein cows in Turkey. Italian Journal of Animal Science 11(3): 44.
Singal D K. 1993. Estimation of genetic trends for economic traits in Sahiwal breed of dairy cattle. M.V.Sc. thesis, CCS HAU, Hisar.
Singh K, Sangwan M L and Dalal D S. 2002. Estimation of genetic, phenotypic and environmental trends in Hariana cattle. Asian-Australasian Journal of Animal Sciences 15(1): 7-10.
Smith C. 1962. Estimation of genetic changes in farm livestock using field records. Animal Production 4(2): 239-51.
Spearman C. 1904. The proof and measurement of association between two things. American Journal of Psychology 15: 72–101.
SPSS. 2021. Statistical Packages for Social Sciences, Version 24.0. SPSS Inc. Chicago, IL, USA.
Yadav U, Malik Z, Dalal D, Dahiya S and Patil C. 2018. Estimation of Breeding Values and Genetic Trend of Production Traits in Munjal Sheep. International Journal of Livestock Research 8(8): 135-41.
Vergara O D, Elzo M A and Cerón-Muñoz M F. 2009. Genetic parameters and genetic trends for age at first calving and calving interval in an Angus-Blanco Orejinegro-Zebu multibreed cattle population in Colombia. Livestock Science 126(1-3): 318-22.
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