19-Title: Performance evaluation of Marwari goat for growth traits under field conditions

19-Title: Performance evaluation of Marwari goat for growth traits under field conditions

Authors: Jayesh Vyas, Virendra Kumar, Prakash, Aarti Nirwan, Urmila Pannu and Vaishali Pareek

Source: Ruminant Science (2022)-11(2):347-350.

How to cite this manuscript: Vyas Jayesh, Kumar Virendra, Prakash, Nirwan Aarti, Pannu Urmila and Pareek Vaishali (2022). Performance evaluation of Marwari goat for growth traits under field conditions. Ruminant Science 11(2):347-350.

Abstract

The present study aimed at the performance evaluation of Marwari goats under field conditions on growth traits. The present study was undertaken to assess the live weights of 3755 Marwari goats (from 2016 to 2021) of registered farmers under the All India Coordinated Research Project on goats in the semi-arid region of Rajasthan. The overall least-squares means of live body weight at birth (BWT), 3-month (3MWT), 6-month (6MWT), 9-month (9MWT) and 12-month (12MWT) of age were observed to be 2.47±0.01, 8.03±0.03, 14.16±0.05, 18.28±0.08 and 22.52±0.11 kg, respectively. Results revealed 8.95, 0.78, 2.01 and 5.75 per cent improvement in the 3MWT, 6MWT, 9MWT and 12MWT live weights, respectively, since 2016. The study revealed that the year of birth and sex had a highly significant effect on all live weights. The cluster and birth type had a highly significant effect on all live weights except 12MWT. However, a non-significant effect of the age of the dam was observed on all live weights except 3MWT. Heritability estimates for BWT, 3MWT, 6MWT, 9MWT and 12MWT were 0.22±0.14, 0.69±0.45, 0.89±0.45, 0.64±0.29 and 0.30±0.19. The genetic correlation was negative between BWT and other body weights. The estimate of phenotypic correlation among body weight was negative between BWT and 9MWT as well as between BWT and 12MWT whereas positive and low to high among other stages of body weights. The study concluded that regular monitoring of birth weight is necessary and factors affecting growth must be monitored to attain better growth under field conditions.

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