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South African Journal of Animal Science

versión On-line ISSN 2221-4062
versión impresa ISSN 0375-1589

S. Afr. j. anim. sci. vol.39 no.5 Pretoria ene. 2009


Non-genetic and genetic factors influencing growth performance in Murrah Buffalos



A.K. Thiruvenkadan#; S. Panneerselvam; R. Rajendran

Department of Animal Genetics and Breeding, Veterinary College and Research Institute, Namakkal-637 002, Tamil Nadu, India




Live weight data from 590 Murrah buffalo calves (140 male and 450 female calves) maintained at the Central Cattle Breeding Farm, Alamadhi, Tamil Nadu, India, born in the period between 1990 and 2004 were used for this study. Data were analysed using least-squares procedures. The adjusted birth weights of male and female calves were 33.0 ± 0.49 and 31.9 ± 0.27 kg, respectively, with an overall value of 32.4 ± 0.30 kg. The mean body weight at three, six, nine and 12 months of age pooled over periods, season and sex were 62.0 ± 0.65, 87.9 ± 0.95, 112.4 ± 1.23 and 134.16 ± 1.41 kg, respectively. Period of calving influenced the weight significantly at birth, three and six months of ages only. The effect of dam parity on body weight at different ages was highly significant. The calves born during the dam's second parity were generally heavier than those born in other parities. Generally, males had a higher body weight than females at all age groups. All the growth traits showed medium heritability (direct) estimates, which ranged between 0.12 ± 0.01 and 0.22 ± 0.16. The genetic correlations were all medium to high and positive. The genetic parameter estimates indicated that the six months weight can be used as a selection tool for genetic improvement of growth traits considering its high heritability and positive genetic correlations with succeeding growth traits.

Keywords: Body weight, heritability, genetic correlations




The genetic improvement of growth of Murrah buffaloes is of great importance in the large ruminant industry in India, since buffaloes contribute 19.8% of the total meat production (Report, 2006). In addition, the growth rate of a heifer calf until it matures to a cow is also an important trait because it characterises the adaptability and economic suitability of the animal. It is expected that animals growing faster in terms of body weight may also initiate physiological functioning of reproduction and milk production earlier. Reports on growth rate of Murrah buffaloes were few (Basu & Rao, 1979; Report, 1982; Patnaik, 1988; Yadav et al., 2001; Kumaravel et al., 2004) and little is known about the non-genetic factors that can interfere with body weight at different ages in Murrah buffaloes. Against this background, this study aimed to evaluate effects of various non-genetic factors on body weight of Murrah buffaloes and to estimate the genetic factors for these characteristics. The above study will help to formulate suitable evaluation procedures especially in organised farms for improving economic traits of this breed.


Materials and Methods

Growth data from 590 (140 males and 450 females) Murrah calves produced by 236 dams and 44 sires born in the period between 1990 and 2004 were collected from Central Cattle Breeding Farm, Alamadhi, Tamil Nadu. Animals were reared under intensive system of management. Regular weighing was done at birth, three, six, nine and 12 months of age. The data were subjected to least-squares analysis of variance using LSMLMW PC-2 VERSION software package (Harvey, 1990). The data were analysed to examine the effects of period, season, sex and parity on body weights at different ages. The data were analysed using a mixed model least-squares analysis for fitting constants, including all main effects and interactions. In the initial model, all interactions were found to be non-significant and hence all interactions were ignored in the final model, which was:

Yilklm = µ + Pi + Sj + Tk + Ul + eijklm.


Yijklm = observed body weight at different ages,

µ= population mean,

Pi = effect of ith period (i =1 to 3),

Sj = effect of jth season (j =1 to 4),

Tk = effect of kth sex (k=1 and 2),

U1 = effect of 1th parity (1=1 to 6) and

eijklm = random errors.

The DFREML programme (Meyer, 2000) was used for the estimation of (co)variance components. The fixed effects that were found to be significant (P <0.05) were incorporated into the operational models. Random terms were added to analytical models sequentially. Random effects that were significant in the single-trait analyses were included in the three-trait analysis. Three-trait analyses were then performed to estimate correlations among traits. The following single-trait animal models (in matrix notation) were fitted for each trait:

1. Y = Xb + Z1a + e  
2. Y = Xb + Z1a + Z2m + e with cov (a,m) = 0
3. Y = Xb + Z1a + Z2m + Z3c + e with cov (a,m) = 0


Y = the vector of observations for growth traits

b = the vector of fixed effects

a = the vector of direct genetic effects

m = the vector of maternal genetic variances

c = the vector of maternal permanent environmental variances

e = the vector of residuals

X, Z1, Z2 and Z3 are the corresponding incidence matrices relating the respective effects to y.

It was assumed that: V (a) = Aσ2a; V (m) = Aσ2m; V (c) = Aσ2c and V (e) = Iσ2e


Results and Discussion

Selection of an appropriate model was done according to log likelihood values. Log likelihoods obtained for each trait under the different models of analyses with the most appropriate model in bold are presented in Table 1. The most appropriate model for all the traits was those with direct additive, maternal and permanent environmental effects due to dam.

The least-squares mean estimates (± s.e.) of weight at birth, three, six and 12 months of age were 32.4 ± 0.30, 62.0 ± 0.65, 87.9 ± 0.95 and 134.2 ± 1.41 kg, respectively (Table 2) and the mean growth rate from birth to three, birth to six and birth to 12 months of age were 32.9 ± 1.62 , 30.78 ± 1.51 and 27.9 ± 0.98 g/day respectively. The overall growth rate of males (28.5 ± 0.75 g/day) was slightly higher than females (27.3 ± 0.89 g/day). The birth weight observed in the present study was higher than those reported by Veerapandian et al. (1996), Yadav et al. (2001) and Kumaravel et al. (2004) on the same breed. However, comparable values were also found by Basu & Rao (1979), Patnaik (1988) and Kumar et al. (2007) on Murrah calves.

The body weight observed at different ages were comparable to the values already reported by Patnaik (1988) on the same herd. The body weight up to three months of ages reported by Basu & Rao (1979), Report (1982) and Kumar et al. (2007) were also comparable to the present estimates, however they reported higher weights at six, nine and 12 months of age. The lower value observed in the present study compared to reports from north India might be due to genotype x environment interaction. The climatic conditions of Murrah buffaloes in its breeding tract are generally hot, semi-arid and dry in nature; whereas the climatic condition in southern coastal region is hot, semi-arid and humid in nature. The high humidity and temperature of southern peninsular coastal region of Tamil Nadu are perhaps the reason for the lower body weight of Murrah breed in this region. However, this needs further detailed investigation.

The period of birth had significant to highly significant (P <0.01) effect on birth, three and six months of ages and this might be due to variation in management practices and availability of quality fodder over the periods. It is in accordance with the report of Yadav et al. (2001). Season of birth had no significant (P >0.05) effect on body weight at different ages and is similar to the report of Yadav et al (2001). On the contrary, Basu & Rao (1979), Report (1982) and Kumaravel et al. (2004) observed significant effect of season of birth on body weight at different ages. The influence of sex of the calf was found to be significant on weight at birth and 12 months of age and highly significant effect on weaning weight. Males were heavier at all ages than the females. The increase in body weight probably arises from the increasing differences in the endocrine system between males and females (Swenson and Reece, 1993). Significant influence of the sex of the calf on birth weight was also reported by Basu & Rao (1979), Report (1982) and Kumaravel et al. (2004). Parity had highly significant effect on all the traits studied. The body weight observed in first parity (Figure 1) was significantly lower than those observed in later parities.



The direct heritability estimates for birth, three, six, nine and 12 months of age were 0.12 ± 0.01, 0.19 ± 0.02, 0.22 ± 0.06, 0.18 ± 0.08 and 0.20 ± 0.06 respectively and the maternal heritability estimates were 0.11 ± 0.02, 0.09 ± 0.02, 0.08 ± 0.03, 0.05 ± 0.01 and 0.08 ± 0.03, respectively (Figure 2). The maternal permanent environmental variances observed at birth, three, six, nine and 12 months of age 0.041 ± 0.013, 0.032 ± 0.014, 0.030 ± 0.013, 0.014 ± 0.009 and 0.028 ± 0.016, respectively. The increasing heritability of body weights at the later stages of developmental process indicates that environmental factors had more influence on birth weight than on the weights achieved later in developmental stages. The heritability of birth weight observed was lower than the findings of Report (1982) and Yadav et al. (2001) and Salces et al. (2006). The estimates of correlation between body weight at different ages are given in Table 3.

The estimates of genetic correlation between birth weight and weight at different ages were medium to high and positive and it is in accordance with the previous reports on Murrah buffaloes (Report, 1982; Salces et al., 2006). The genetic correlations between body weight at different ages were positive and medium to high in magnitude. The moderately high genetic correlations between birth weight and the weight at six and nine months in this study indicate that selection for increased birth weight would also result in genetic improvement in the subsequent ages. Although the birth weight may be suitable criteria in a preliminary section for growth, the strong maternal influences must not be ignored, as it tends to mask the true genetic merit in the calves. The results of this study indicated that selection for weight should be done on the basis of six months or nine months weight. A positive response should be expected in other traits owing to the generally large and positive correlations.



The study revealed that the non-genetic factors such as period of birth, sex of the calf and parity of the dam might be considered when performing an evaluation of Murrah calves based on growth traits. The effect of parity on the production performances has been demonstrated for the commercial exploitation of this breed for meat purpose. Estimated heritability for six months weight and its genetic correlations with body weight at other ages were high, suggesting that improvement in genetic gains for body weight could be reached by using this trait in selection programmes. Further estimation of genetic parameters based on large amounts of data on various economically important traits (i.e. growth efficiency traits along with body weights at different ages) will help in accurate selection of animals to improve the genetic capacity of the breed for meat production.



Arya, Y.V. & Desai, R.N., 1969. Growth and its relationship with weight and age at first calving in buffaloes maintained in military farms. Indian J. Diary Sci. 31, 294-296.         [ Links ]

Basu, S.B. & Rao, M.K., 1979. Growth pattern in Murrah buffalo calves. Indian Vet. J. 56, 570-574.         [ Links ]

Harvey, W.R., 1990. User's Guide for LSMLMW and MIXMDL PC-2 Version. Mixed model least-squares and maximum likelihood computer program. Ohio State University, Columbus, Ohio, U.S.A.         [ Links ]

Kumar, R., Jain, A.K. & Mehra, M.L., 2007. Effect of inbreeding on body weight at different ages in graded Murrah buffaloes. Indian Vet. J. 84, 1148-1150.         [ Links ]

Kumaravel, N., Sivakumar, T., Nisha, P.R. & Gopi, H., 2004. Studies on some factors affecting birth weight in buffalo calves. Cheiron 33, 51-53.         [ Links ]

Meyer, K., 2000. DFREML Programs to estimate variance components by restricted maximum likelihood using a derivative-free algorithm-User Notes.         [ Links ]

Patnaik, A.K.C., 1988. Body Weight and its Effect on First Lactation Yield in Murrah. M.V.Sc. thesis submitted to Tamil Nadu Agricultural University, Coimbatore, India.         [ Links ]

Report, 1982. Final report on selective breeding in Murrah buffaloes for economic traits. National Dairy Research Institute, Karnal, Haryana, India.         [ Links ]

Report, 2006. Basic Animal Husbandry Statistics. AHS Series-10. Government of India, Department of Animal Husbandry, Dairying and Fisheries, New Delhi, India. pp. ix+162+14.         [ Links ]

Salces, C.B., Salces, A.J., Seo, K.S. & Bajenting, G.P., 2006. Genetic parameters estimation of growth traits of Murrah buffaloes raised under ranch production system. Proc. 8th World Congress on Genetic Applied to Livestock Production, August 13-18, 2006, Belo Horizonte, Brasil.         [ Links ]

Swenson, M.J. and Reece, W.O., 1990. Duke's Physiology of Domestic Animals (11th edn.) Cornell University Press, Ithaka, New York.         [ Links ]

Veerapandian, C., Chandran, N. D.J, Jayaraja, S. & Kathaperumal, V., 1996. Pattern of calving and birth weight in Murrah buffaloes in an organised farm. Indian Vet. J. 73, 450-451.         [ Links ]

Yadav, B.S., Yadav, M.C., Singh, A. & Khan, F.H., 2001. Murrah buffaloes-1. Birth weight. Buffalo Bulletin 20, 29-31.         [ Links ]



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