2-Title: Development of prediction models for assessment of length of productive life in Frieswal cattle
Authors: MM Chopade, RS Deshmukh, BN Ramteke, SD Ingole, VB Dongre and MP Sawane
Source: Ruminant Science (2021)-10(1):9-12
How to cite this manuscript: Chopade MM, Deshmukh RS, Ramteke BN, Ingole SD, Dongre VB and Sawane MP (2021). Development of prediction models for assessment of length of productive life in Frieswal cattle. Ruminant Science 10(1):9-12.
Abstract
The present study was carried out on Frieswal cattle (Holstein Friesian × Sahiwal cattle) maintained at Military Dairy Farm, Pimpri, Pune, Maharashtra. The data from the year 1983 to 2019 spread over 36 years was utilized for research purpose. The length of productive life was predicted using the explanatory variables lactation length, dry period and inter-calving period. The data were normalized for all the variables under the study and the cows with abnormal records are removed from the study. Further, the prediction equations were developed for the lifetime traits like the length of productive life up to three lactations (LPL3), length of productive life up to five lactations (LPL5) and length of productive life up to seven lactations (LPL7). It was observed that amongst the five lactations the incorporation of cumulative lactation length instead of individual lactation length has increased the accuracy of prediction. The highest accuracy of prediction for the length of productive life till seven lactations was observed when the cumulative lactation length model (cumll3 and cumll5) viz. 376.13-0.09 cumll3 + 1.20 cumll5 were used with coefficient of determination value as 82.58% and RMSE as 0.61%.
References
Dash SK, Gupta AK, Avtar Singh, Mohanty TK, Ved Prakash, Tavsief Ahmad and Sahoo SK (2015). Multiple linear correlation and prediction of lifetime performance on the basis of first lactation fertility and production traits in Karan Fries (Holstein Friesian crossbred) cattle. Indian Journal of Dairy Science 68(6):603-606.
Dongre VB, Gandhi RS, Avtar Singh and Ruhil AP (2012). Comparative efficiency of artificial neural networks and multiple linear regression analysis for prediction of first lactation 305-day milk yield in Sahiwal cattle. Livestock Science 147:192-97.
Kathiravan P (2009). Genetic evaluation of lifetime performance of Sahiwal cattle. PhD thesis submitted to ICAR-NDRI, Karnal.
Kumar S, Alex R, Gaur GK, Mukharjee SS, Mandal DK, and Kashyap S (2018). Evolution of Frieswal cattle: A crossbred dairy animal of India. Indian Journal of Animal Sciences 88(3):265-275.
Mishra Geetesh, Siddiqui MF, Ingle VS, Pal RS and Meel MS (2017). Studies on genetic and phenotypic correlation of different productive and reproductive traits of Tharparkar cattle at organized farm. Ruminant Science 6(2):275-278.
SAS Institute Inc. (2009). SAS/STAT ® 9.2User’s Guide, Second Edition. Cary, NC: SAS Institute Inc.
Singh AP, Chakravarty AK and Mir MA (2018). Breeding performance of Murrah buffaloes in organised herd. Ruminant Science 7(2):207-212.
Singh S, Rana ZS, Pander BL, Dhaka SS and Kumar R (2013). Prediction of phenotypic value of lifetime performance from early lactation traits in Haryana cattle. Indian Journal of Animal Research 47(4):352-355.
Wasana Nidarshani, GwangHyun Cho and ChangHee Do (2015). Genetic relationship of productive life, production and type traits of Korean Holsteins at early lactations. Asian-Australas Journal of Animal Science 28(9):1259-1265.