GENETIC EVALUATION OF GROWTH IN FIELD FLOCKS OF MADRAS RED SHEEP USING RANDOM REGRESSION MODELS
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Date
2017
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Abstract
Growth performance of Madras Red sheep in farmers‘ flocks was
evaluated using random regression models (RRM). Data accrued over 25 years at
the Network Project on Sheep Improvement - Madras Red field unit (NWPSI),
jointly funded by Indian Council of Agricultural Research, New Delhi and Tamil
Nadu Veterinary and Animal Sciences University (TANUVAS), Chennai has been
utilised for this study. Evaluation of growth was done through univa.riate analyses,
multivariate analyses and RRM and the results were compared. Univariate
analyses was done for body weight at birth (BW), weaning weight (WW), 6-
month weight (6W), 9-month weight (9W), 12-month weight (YW), pre-weaning
(ADG1, birth to 3-months) and post-weaning average daily gains (ADG2, 3- 6
months; ADG3, 6-9 months; ADG4, 9-12 months and ADG5, 3-12 months).