Projection of lactation milk yield from part records in crossbred dairy cows

Abstract

SummaryFirst lactation records of a total of 242 Jersey (JH), Brown Swiss (BH) and Holstein-Friesian (FH) halfbreeds from Hariana cows were studied for projecting 300 d milk yield from 12,14,16,18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38 and 40 weeks’ milk yield. The correlation coefficients between 300 d milk yield and part records ranged from 0·84 to 0·9 in the JH, 0·80 to 0·90 in the BH and 0·72 to 0·86 in the FH groups. Prediction equations and standard errors of estimation for prediction of 300 d milk yield for an individual animal are presented. It is suggested that part records up to 16, 22 and 22 weeks may be used for projecting 300 d yield with sufficient accuracy in the JH, BH and FH groups respectively.

Prediction of 305-day milk yield in Brown Swiss cattle using artificial neural networks

“…Njubi et al (2010) applied ANNs to predict first lactation 305-d milk yield using test-day records in Kenyan Holstein Friesian dairy cows. These studies have shown that total lactation yield and short-term milk yield are positively correlated (Rayalu et al, 1984;Shrivastava et al, 1988;Brutta et al, 1989;Jain et al, 1991;Jadhav et al, 1998).…”