NAAS Score 2019

                   5.36

Declaration Format

Please download DeclarationForm and submit along with manuscript.

UserOnline

Free counters!

Previous Next

Non Genetic Factors Affecting Lactation Length in Surti Buffaloes

V. D. Pawar N. S. Dangar G. M. Pandya B. P. Brahmkshtri V. B. Kharadi
Vol 9(1), 318-323
DOI- http://dx.doi.org/10.5455/ijlr.20180729090659

The records of 457 Surti buffaloes with 1346 lactations sired by 35 sires maintained at Livestock Research Station, Navsari Agricultural University, Navsari born during 1987 to 2012 were collected and analysed to examine the effect of non-genetic factors viz. season of birth, period of birth and parity on lactation length. The least squares mean of lactation length in Surti buffaloes was found to be 310.01 ± 9.23 days. The analysis of variance revealed highly significant effect of period of birth and parity but non-significant effect of season of birth on lactation length. No effect of season of birth on lactation length indicated breed characteristics to acclimatize with environment. Lactation length showed a significant rise from Period-1 (1987 to 1992) to Period-4 (2004-2012) indicates improvement of breeding and managemental practices over the periods in the farm. As the parity increases the lactation length shows declining trend but after 6th parity it was again show increasing trend which indicates that the animals having high production potential have constant period of production and we have to give preference to such animals’ in future breeding programme.


Keywords : Lactation Length and Non-Genetic Factors Surti Buffalo

In India, the majority of small and marginal farmers are more dependent on buffaloes than cattle for their livelihood as they also serve as an insurance against the risk of crop failure due to natural calamities (Dhanda, 2004). FAO (2000) has termed the buffalo as an important but ‘an asset undervalued’. Buffalo is a triple purpose animal, being suitable for milk, meat and draught. The Surti buffalo is a reputed breed of buffalo with its origin in charotar region of central Gujarat.

High production efficiency in livestock production is an economically desirable attribute that targets ultimately for genetic up gradation. In fact, the economy of dairy industry mainly rely upon the performance parameters of dairy animals, therefore, it becomes more relevant to tackle out the means for ameliorating the performance efficiencies by developing certain guidelines for selection (Dangar and Vataliya, 2014). Lactation length (LL) is one of the important traits affecting the lactation yield. Dairy animals are not selected for this economic trait because its increase can cause increase in calving interval, which is not an economically viable option. Milk production records are usually adjusted for lactation length. Many factors such as feed and fodder availability and managemental conditions along with seasonal variation affect it. Thus, segregation of factors like season, years and parity and their effect on trait like lactation length will enable the breeder in assessing the effectiveness of selection programme and managemental conditions over time. This will help in designing more appropriate breeding strategies to maximize genetic gain and also suggest amendments in managemental standards if desired. Therefore the present investigation was planned with a view to study the non-genetic factors affecting lactation length in Surti buffaloes.

Materials and Methods

In order to achieve the objective, the data pertinent to production traits on 457 Surti buffaloes with 1346 lactation which were born during 1987 to 2012 and progeny of 35 sires maintained at Livestock Research Station, Navsari Agricultural University, Navsari, Gujarat, India were considered. The duration of 1987 to 2012 was divided into 4 periods; PB1 (1987 to 1992), PB2 (1993 to 1998), PB3 (1999 to 2004) and PB4 (2005 to 2012). The three seasons were delineated as winter (November-February), summer (March- June) and monsoon (July-October) on the basis of geo-climatic conditions prevailing in the region. Records of buffaloes with some specific or non-specific diseases, reproductive disorder and physical injury were excluded from the present investigation.

Statistical Methods

For analysis Harvey (1990) software was used following LSMLMW mix model:

Yhijkl   =    µ   +   Sh + Ai   +   Bj   + Ck   + ehijkl

Where,

Yhijkl      = record of lth buffalo born in ith period, jth season and kth parity

µ          = population mean

Sh         = Random effect of sire

Ai         = fixed effect of jth season where i = 1, 2 and 3.

Bj         = fixed effect of ith period where j = 1, 2, 3 and 4.

Ck           = effect of parity of calving where k=1, 2, 3, 4 and above.

ehijkl      = random error which is assumed to be normally independently distributed with zero mean and constant variance (NID, 0, σ2).

Duncan’s Multiple Range Test (DMRT) as modified by Kramer (1957) was used for testing differences among least squares means.

Results and Discussion

The overall least-squares means for LL was found to be 310.01 ± 9.23 days as presented in Table 1. The estimated LL of the present study was very much similar with the results obtained by Patel and Tripathi (1994, 1998) in Surti buffaloes. However, the lower estimate of LL in Surti buffaloes was obtained by Pathodiya et al. (1999), Bharat et al. (2004), Warade et al. (2005) and Pandya et al. (2013).

Table 1: Season of birth, period of birth and parity wise least square means and standard error for lactation length in Surti buffaloes

Factors N Least Square Means and Standard Error of LL (Days)
μ 1346 310.01 ± 9.23
Season   NS
SB1 351 313.41  ± 9.68
SB2 117 307.34 ± 10.95
SB3 878 309.28 ± 9.20
Period   **
PB1 325 289.88c ± 12.12
PB2 409 290.93c ± 10.95
PB3 380 315.64b ±  10.90
PB4 232 343.60a ±  15.39
Parity   *
Parity 1 457 1044.77c ± 37.70
Parity 2 311 1137.60b ± 38.60
Parity 3 207 1217.28a ± 40.18
Parity 4 137 1211.35a ± 42.38
Parity 5 99 1220.72a ± 45.06
Parity 6 73 1164.98ab ± 48.18
Parity 7 36 1170.11ab ± 58.86
Parity 8 17 1053.53c ± 76.91
Parity 9 9 1044.66c ± 100.68

Mean of a trait bearing different superscript differ significantly (P<0.05)

The higher estimates of LL in Murrah buffaloes as compared to the results of present study were obtained by Jain and Taneja (1982), Gupta et al. (2012) and Sigdel et al. (2014) whereas lower estimates of LL in the same breed were found by Thiruvenkadan et al. (2014) and Jamuna et al. (2015). However reports by Umrikar and Deshpande (1985), Yadav et al. (2002), Pandey et al. (2015) and Jakhar et al. (2016) in Murrah buffaloes were comparable with the findings of the present study. Comparable results with that of present findings were also found by Chaudhry (1992) in Nili-Ravi and by Bharat et al. (2004) in Mehsana buffaloes. The lower estimates for LL have been reported in Mehsana (Tajane and Siddiquee, 1985) and in Surti, Murrah, Nili-ravi and their crossed buffaloes (Charlini and Sinniah, 2015). The results of the present study pertaining to LL in Surti buffaloes are very much comparable with the findings of the same in Surti and other Indian breeds of buffalo and also reveal that the animals on the farm have optimum time period for the productivity and so as the production. The differences in LL due to season of birth were found to be statistically non-significant (P>0.05) in present study (Table 2). Similar finding was agreement with the report of Thiruvenkadan et al. (2014) in Murrah buffalo.

Table 2: Analysis of variance for lactation length in Surti buffalo

  LL (Days)
Source DF MS
Sire 34 11111.53**
SB 2 2166.45
PB 3 16838.5**
Parity 8 9594.91*
Error 1298 4265.39

* = Significant (P<0.05), ** = Highly Significant (P<0.01)

The least squares analyses of variance for different factors affecting LL have been presented in (Table 2). The analysis revealed highly significant (P<0.01) effect of period of birth on LL in Surti buffaloes. These results revealed that there was periodic trend in the LL due to period of birth. Highest LL was found in period of birth 4 (343.60 ± 15.39 days) viz. animals born during the period 2005-2012 (Table 1). Reports on effect of period of birth on LL are scanty, so the results of this study could not be correlated with the results of other researchers.

Parity had significant (P<0.05) effect on LL (Table 2) in present findings. Parity 6 (296.84 ± 11.48 days) and 7 (301.01 ± 13.94 days) had lower LL as compared to other parities (Table 1). Parity 8 had highest LL of 325.34 ± 18.12 days followed by parity 1 of 321.23 ± 9.09 days. In general decreasing trends were observed in LL with advancement of age except parities 8 and 9. Significant effect of parity on LL have been reported by Swain and Bhatnagar (1983), Thiruvenkadan et al. (2014), Sigdel et al. (2015) and Jakhar et al. (2016) in Murrah buffalo. Further, Swain and Bhatnagar (1983) found highest LL in first parity. Thiruvenkadan et al. (2014) reported decline in LL with the advancement of parity as observed in our study. Chaudhry et al. (1992) and Tajane and Siddiquee (1985) reported significant effect of parity on LL in Nili-Ravi and Mehsani buffaloes respectively. However, Patel and Tripathi (1998) had reported no significant effect of parity on LL in Surti buffalo.

Conclusion

Lactation length showed a significant rise from Period-1 (1987 to 1992) to Period-4 (2004-2012) indicates improvement of breeding and managemental practices over the periods in the farm. As the parity increases the lactation length shows declining trend but after 6th parity it was again show increasing trend which indicates that the animals having high production potential have constant period of production and we have to give preference to such animals’ in future breeding programme.

References

  1. Bharat, N. K., Thapan, P. C. and Gahlot, G. C. (2004). Production and reproduction performance of light breed of buffaloes. Indian Journal of Animal Science, 74(5): 527-529.
  2. Chaudhry, M. A. (1992). Factors affecting the lactation length and milk yield in Nili-Ravi buffaloes.Asian Australian Journal of Animal Science, 5, 375-382.
  3. Charlini, B. C. and Sinniah, J. (2015). Performance of Murrah, Surti, Nili-Ravi buffaloes and their crosses in the intermediate zone of Sri Lanka. Livestock Research for Rural Development, 27(3): 47.
  4. Dangar, N. S. and Vataliya, P. H., (2014). Factors Affecting Age at First Calving in Gir Cattle. IJLR, 4(2): 86-91.
  5. Dhanda, O.P. (2004). Developments in water buffalo in Asia and Oceania, p. In Proceedings, 20: 1728.
  6. (2000). Water Buffalo: an Asset Undervalued, pp.1-6. FAO Regional Office for Asia and the Pacific, Bangkok, Thailand.
  7. Gupta J. P., Sachdeva, G. K., Gandhi, R. S. and Cahkaravarty, A. K. (2012). Non-genetic Factors Influencing Growth and Production Performance in Murrah Buffaloes. Indian Journal of Dairy Science, 65(3):239-241.
  8. Harvey W. R. (1990) Guide for LSMLMW, PC-1 Version, mixed model least squares and maximum likelihood computer programme. Mimeograph Ohio State University, USA.
  9. Jain, A. and Taneja, V. K. (1982). Effects of non-genetic factors on reproduction and production traits in Murrah buffaloes. Asian Journal of Dairy Science, 1(2): 123-129.
  10. Jakhar, V., Vinayak, A. K. and Singh, K. P. (2016). Genetic evaluation of performance attributes in Murrah buffaloes.Haryana Vet, 55(1): 66-69.
  11. Jamuna, V., Chakravarty, A. K. and Patil, C. S. (2015). Influence of non-genetic factors on performance traits in Murrah buffaloes. Journal of Ani. Res., 49(3): 279-283.
  12. Kramer, C. Y. (1957). Extension of multiple range tests to group correlated adjusted means. Biometrics, 13(1): 13-18.
  13. Pandey, H. O., Tomar, A. K. S. and Upadhyay, D. (2015). Effect of environmental factors on first lactation milk yield in murrah buffaloes.Buffalo Bulletin (December 2015), 34(4): 459-464.
  14. Pandya, G.M., Joshi, C. G., Rank, D. N., Kharadi, V. B., Vataliya, P.H., Desai, P.M. and Solanki, J. V. (2013)  Genetic analysis of production and reproduction traits in Surti buffalo on an organized farm. Indian Journal of Dairy Science, 66(3): 235-242.
  15. Pathodiya, O. P., Jain, S. L. and Tailor, S. P. (1999). Age at first calving and its correlation with economic traits in Surti buffaloes. Journal of Vet. Res., 76(10): 902-905.
  16. Patel, A. K. and Tripathi, V. N. (1994). Effect of certain non-genetic factors affecting some production traits in Surti buffaloes. Indian Journal of Dairy Science, 47(12): 1038-1042.
  17. Patel, A. K. and Tripathi, V. N. (1998). Effect of non-genetic factors on economic traits of Surti buffalo. Indian Journal of Animal Science, 68(6): 566-569.
  18. Sigdel, A., Bhattarai, N., Kolachhapati, M. R. and Paudyal, S. (2015). Estimation of Genetic Parameters for Productive Traits of Murrah Buffaloes in Kaski, Nepal.International Journal of Research, 2(5): 248-257.
  19. Swain, S. N. and Bhatnagar, D. S. (1983). Reproductive and productive traits in Murrah buffaloes. Indian Journal Dairy Science, 36(4): 382-386.
  20. Tajane, K. R. and Siddiquee, G. M. (1985). Adjustment for effects due to parity and year of calving on lactation production in Mehsana buffaloes. Indian Journal of Animal Science, 55(3): 71-72.
  21. Thiruvenkadan, A. K., Panneerselvam, S., Murali, N., Selvam, S. and Saravanakumar, V. R. (2014). Milk production and reproduction performance of Murrah buffaloes of Tamil Nadu, India.Buffalo Bull, 33(3): 291-300.
  22. Umrikar, U. D. and Deshpande, K. S. (1985). Genetic studies on lactation length and dry period in Murrah buffaloes. Indian Journal of Animal Sciences, 55(10): 888-892.
  23. Warade, S. D., Patil, S. L., Ali, S. Z. and Kularlkar, S. V. (2005). Productive and reproductive genetics traits of Surti buffaloes in Maharashtra state.Indian Journal of Veterinary Research, 14(1): 25-28.
  24. Yadav, B. S., Yadav, M. C., Khan, F. H. and Singh, A. (2002).Murrah buffaloes. II. First lactation yield and first lactation period. Buffalo Bull, 21(3): 51-54.
Abstract Read : 330 Downloads : 72
Previous Next

Submit Case Reports for Special Issue (Dec’19)

Recommend IJLR to include in UGC-CARE list

Download Completed format here

IJLR_UGC CARE Recommendation

And

Recommendations of new journals should be routed by universities and colleges as follows:

  1. Universities: IQAC cell to respective regional CARE University
  2. Affiliated colleges: College IQAC cell to parent university’s IQAC cell. Parent university IQAC cell will forward to respective regional CARE University.

You can find Zonal UGC-CARE address here https://ugccare.unipune.ac.in/site/website/ugc-contact.aspx

Close