Estimation of Genetic, Phenotypic and Environmental Trends in Hariana Cattle

Singh, Kirti; Sangwan, M. L.; Dalal, D. S.

doi:10.5713/ajas.2002.7

Cited by 5 publications

(5 citation statements)

References 4 publications

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“…The results displayed in Table 2 show that calving season had statistically significant effect on the yield of milk and milk proteins (p<0.05) and statistically very significant effect on the yield of milk fat (p<0.01). The results obtained are consistent with a number of studies (Lukač et al, 2014;Stanojević et al, 2012b;Singh et. al., 2001;Gaydarska et al, 2001) in which a significant effect of calving season on the yield of milk, milk fat and protein was determined.…”

Section: Resultssupporting

confidence: 92%

Phenotypic and genetic parameters of milk yield traits in first-calf heifers of Holstein-Friesian breed

Popovac

Miletić²,

Raguž

et al. 2020

Mljekarstvo.com

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The objective of this paper was to study variability, heritability and correlation of the three production traits in 1409 first-calf heifers of Holstein-Friesian breed; including the determination of the quantity of milk during lactation (ML), the quantity of milk fat during lactation (MM) and the quantity of protein during lactation (PR). According to the obtained results it could be concluded that there were statistically significant differences (P<0.01, P<0.05, P<0.001) between ML, MM and PR regarding the effect of season of the first calving and the length of the first lactation. In addition, there were also significant differences (P<0.01, P<0.001) between ML and PR with respect to the effect of farm on which animals were raised, while on MM variability the year and age at first calving had a significant effect (P<0.05). A share of Holstein genes and the ration which animals were fed had no effect (P>0.05) on variability of any of the examined traits, while the farm on which animals were raised had no effect (P>0.05) on MM, and year and age at first calving did not demonstrate (P>0.05) statistically significant effect on ML and PR. By applying the animal model, based on the use of kinship matrix which involved 3867 animals, by help of REML methodology following heritability coefficients were evaluated: ML h2= 0.25; MM h2= 0.40; PR h2= 0.37. Coefficients determined for genetic and phenotypic correlations indicated existence of complete and positive correlations between these traits the interval of values being from rg = 0.96 between ML and MM to rg = 1.00 between ML and PR.

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Section: Resultssupporting

confidence: 92%

Phenotypic and genetic parameters of milk yield traits in first-calf heifers of Holstein-Friesian breed

Popovac

Miletić²,

Raguž

et al. 2020

Mljekarstvo.com

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“…Heritability estimate was slightly higher for the definition in which each lactation was restricted to 305-days and may be favoured for use in future. Heritability estimates in the present study was similar to earlier estimates of 0.17±0.07 by Dutt and Taneja (1994) and in cattle (0.18±0.16) by Singh et al (2002). Lower h 2 estimates (0.03 to 0.08) have been reported in cattle using the paternal halfsib correlation and Animal Model (VanRandan and Klaaskate, 1993;Vollema and Groen, 1996;Weigel et al, 1997;Vollema et al, 2000).…”

Section: Productive Lifesupporting

confidence: 91%

Lifetime Performance of Nili-ravi Buffaloes in Pakistan

Bashir¹,

Khan²,

Bhatti³

et al. 2007

Asian Australas. J. Anim. Sci

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Data on 1,037 Nili-Ravi buffaloes from four institutional herds were used to study lifetime milk yield, herd life, productive life and breeding efficiency. A general linear model was used to study the environmental effects while an animal model having herd, year of birth and age at first calving (as covariate) along with random animal effect was used to estimate breeding values. The lifetime milk yield, herd life, productive life and breeding efficiency averaged 7,723±164 kg, 3,990±41 days, 1,061±19 days and 64 percent, respectively. All the traits were significantly (p<0.01) affected by the year of birth and herd of calving, while the herd life was also affected (p<0.01) by the age at first calving. The heritabilities for lifetime milk yield, herd life, productive life and breeding efficiency were 0.093±0.056, 0.001±0.055, 0.144±0.079 and 0.001, respectively. The definition for productive life, where each lactation gets credit upto 10 months had slightly better heritability and may be preferred over the definition where no limit is placed on lactation length. The genetic correlation between productive life and lifetime milk yield was low but high between productive life and herd life. The selection for productive life will increase herd life while lifetime milk yield will also improve. The overall phenotypic trend during the period under the study was negative for lifetime milk yield (-280 kg/year), herd life (-93 days), productive life (-42 days/year) and breeding efficiency (-0.36 percent/year), whereas the genetic trend was positive for lifetime milk yield (+15 kg/year) and productive life (+4 days/year).

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“…The annual genetic change in interval traits were positive (0.07+0.02 and 0.24+0.04 for CFS and DO, respectively) indicating that more attention should be given to reproductive traits to avoid losses related to these traits in the future. As the trait is mainly governed by non-genetic factors, managemental practices should be improved for lowering the interval traits (Singh et al, 2002). Atil and Khattab (2005) found that genetic trend for 305 d milk yield to be 44.85 kg/yr and concluded that selection objective focused on choosing the best sires and cows to be the next generation parents would lead to increase in milk traits and decrease in reproductive traits simultaneously.…”

Section: Genetic and Phenotypic Trendsmentioning

confidence: 99%

Genetic and Phenotypic Association between Productive and Reproductive Traits in Friesian Cows In Egypt

Zahed¹,

Badr²,

Khattab³

2020

Journal of Animal and Poultry Production

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Genetic parameters for Friesian cows were estimated from 9155 lactation records for 3625 cows sired by 182 bulls covered 34 years in two herds (Sakha and El-Karada), belongs to the Animal Production Research Institute, Ministry of Agriculture, Egypt. Multi-trait repeated animal model was employed using the REML procedure to estimate (co)variance components of productive (305-day milk yield-M305 and lactation period-LP) and reproductive traits (number of services per conception-NSC, calving to first service interval-CFS and days open-DO), There is sufficient genetic variation in productive (from 9.5 to 17.1%) and reproductive traits (from 3.9 to 10.3 %). Heritability estimates for M305 and LP traits were 0.204 and 0.110, however, reproduction traits were ranged from 0.010 to 0.044. Genetic correlation between M305 and LP was high (>0.94). Among reproductive traits, absolute genetic correlations were also high (>0.85). Genetic correlations between reproductive and productive traits were high (>0.99). The annual genetic changes were positive for M305, LP, CFS and DO (9.07 kg/yr., 0.30, 0.07 and 0.24 d/yr., respectively), however it was -0.003 number/yr for NSC. The annual phenotypic changes were positive for M305, CFS and DO (12.4 kg/yr., 0.029 and 0.829d/yr., respectively), however it were negative for LP and NSC (-0.265 d/yr. and -0.002 number /yr.).

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Estimation of Genetic, Phenotypic and Environmental Trends in Hariana Cattle

Cited by 5 publications

References 4 publications

Phenotypic and genetic parameters of milk yield traits in first-calf heifers of Holstein-Friesian breed

Phenotypic and genetic parameters of milk yield traits in first-calf heifers of Holstein-Friesian breed

Lifetime Performance of Nili-ravi Buffaloes in Pakistan

Genetic and Phenotypic Association between Productive and Reproductive Traits in Friesian Cows In Egypt

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