VETERINARY MEDICINE Open Journal ISSN 2475-1286 Jaswant Singh, PhD; C.V. Singh, PhD * Department of Animal Genetics & Breeding, College of Veterinary & Animal Sciences, Govind Ballabh Pant University of Agriculture & Technology, Pantnagar-263145 (U.S. Nagar) Uttarakhand, India * Corresponding author C.V. Singh, PhD Professor, Department of Animal Genetics & Breeding, College of Veterinary & Animal Sciences, Govind Ballabh Pant University of Agriculture & Technology, Pantnagar-263145 (U.S. Nagar) Uttarakhand, India; Tel. +91-7248486041; E-mail: cvsingh2010@gmail.com Article information Received: July 20 th , 2018; Revised: September 8 th , 2018; Accepted: September 11 th , 2018; Published: October 15 th , 2018 Efect of Non-Genetic Factors on Pooled Productive and Reproductive Traits in Sahiwal Cattle Original Research Cite this article Singh J, Singh CV. Effect of non-genetic factors on pooled productive and reproductive traits in Sahiwal cattle. Vet Med Open J. 2018; 3(1): 16-20. doi: 10.17140/VMOJ-3-128 ABSTRACT Copyright 2018 by Singh CV. This is an open-access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0), which allows to copy, redistribute, remix, transform, and reproduce in any medium or format, even commercially, provided the original work is properly cited. 16 Original Research | Volume 3 | Issue 1| cc Introduction The present study investigated the infuence of various non-genetic factors on various economic traits to plan better management practices for higher milk production in Sahiwal cattle. Materials and Methods The data for the present investigation were collected over a period of 71-years (1944-2014) from pedigree sheets of 1367 Sahiwal cows born to 112 sires maintained at Government Livestock Farm, Chak-Ganjeria, Lucknow were utilized. The infuence of non- genetic factors on different traits were studied by least-squares analysis of variance for non orthogonal data using mixed model least-squares and maximum likelihood programme described by Harvey (1990). Result The overall performance levels of cows for total milk yield (TMY) and lactation length (LL) were 1815.192±12.87 kg and 300.77 ±1.58 days, respectively. The overall least-squares means estimated for all the reproduction traits in this study were 192.60±2.35 days for service period, 163.74±2.31 days for dry period and 475.64±2.78 days for calving interval. The least-squares analysis of variance for the pooled lactation traits showed the signifcant (p<0.01) effect of season of calving on total milk yield, whereas it was signifcant (p<0.05) for total dry period and non-signifcant for other pooled lactation traits i.e. lactation length, service period and calving interval. The effect due to period of calving on all the pooled lactation traits was found to be signifcant (p<0.01). The effect due parity on all the pooled lactation traits was also signifcant (p<0.01). Conclusion Analysis of variance for the pooled milk production traits showed that the effect due to season of calving was signifcant for total milk yield and total dry period. The effect due to period of calving on all the pooled milk production traits was found to be signifcant. The effect due parity on all the pooled milk production traits was also signifcant effect of non-genetic factors on pooled milk production and reproduction traits revealed that managemental practices were not similar during different periods. Keywords Pooled lactation traits; Total milk yield; Lactation length; Productive life; Herd life. INTRODUCTION S ahiwal is one of the most preferred breed of cattle for genetic improvement various descript and non-descript cattle popula- tion of our country. Sahiwal is regarded as one of the improver breed of cattle in our country. There is a great need to evaluate the performance of Sahiwal at organized dairy farm. The present eco- nomic conditions demand that a dairy animal should be proftable and overall proftability of dairy animals depends upon more on the return through the milk production during its life-time than on its frst lactation alone. Evaluation of sires for life-time production traits not only delays selection decision but also reduces the rate of genetic progress. To overcome this, life-time milk production was computed indirectly from some early observable traits. Early