Prediction of lifetime performance traits by principal component analysis in Jersey crossbred cattle at an organized farm of eastern India

POONAM RATWAN; AJOY MANDAL; MANOJ KUMAR; ATISH KUMAR CHAKRAVARTY

doi:10.56093/ijans.v87i9.74340

Authors

POONAM RATWAN ICAR-National Dairy Research Institute, Karnal, Haryana 132 001 India
AJOY MANDAL Eastern Regional Station, ICAR-National Dairy Research Institute, Kalyani, Nadia, West Bengal 741 235 India
MANOJ KUMAR ICAR-National Dairy Research Institute, Karnal, Haryana 132 001 India
ATISH KUMAR CHAKRAVARTY ICAR-National Dairy Research Institute, Karnal, Haryana 132 001 India

https://doi.org/10.56093/ijans.v87i9.74340

Keywords:

Early selection, Jersey crossbred, Lifetime performance, PCA

Abstract

Data on first lactation traits viz. peak yield, 305 days milk yield, milk yield per day of lactation length and total milk yield per day of calving interval were used for prediction of lifetime milk yield (LTMY) upto 4^th lactation in Jersey crossbred animals maintained at the organized herd of the Eastern Regional Station, ICAR-National Dairy Research Institute, Kalyani, Nadia, West Bengal using principal component analysis (PCA). The evolved equation, LTMY4 = 2400.56** + 0.698**PC could explain 48.8% variation in the estimated values with adjusted R² = 48.5%. Early selection of Jersey crossbred cattle based on first lactation records can be done with the help of predicted equation. The study also revealed that factor extracted could be used in breeding programs with sufficient reduction in the number of first lactation traits to be recorded for explanation of maximum variability for prediction of lifetime performance traits in Jersey crossbred cattle.

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