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University of Agricultural Sciences, Dharwad

The University of Agricultural Sciences, Dharwad was established on October 1, 1986. The University has 5 Colleges, 27 Research Stations, 6 Agriculture Extension Education Centers, 6 Krishi Vigyan Kendras and ATIC. The University has its jurisdiction over 7 districts namely Bagalkot, Belgaum, Bijapur, Dharwad, Gadag, Haveri, and Uttar Kannada in northern Karnataka. Greater diversity exists in soil types, climate, topography cropping and farming situations. The jurisdiction includes dry-farming to heavy rainfall and irrigated area. Important crops of the region include sorghum, cotton, rice, pulses, chilli, sugarcane, groundnut, sunflower, wheat, safflower etc. The region is also known for many horticultural crops. Considerable progress has been registered in the field of education, research and extension from this University.

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20131
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Subject: Agricultural Statistics and Informatics × Author: Ashwini Hebbar ×
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    ThesisItemOpen Access
    Moodels to Estimate Milk yield in HF Crossbred Cows
    (UAS, Dharwad, 2013) Ashwini Hebbar; S.N. Megeri
    The world cattle population is estimated to be about 1.3 billion. Indian cattle population is around 281 million. Holsteinare the primary dairy breed, bred for high milk production which are originated from Holland. Milk production is being most predominant for any dairy farm hence the estimation of milk yield is essential. For this purpose modeling is essential to know the performance of any animal. In this regard the study was under taken by taking secondary data from the Dairy unit of main agriculture research station UAS, Dharwad. The data was collected on 25 milking HF crossbred cow for the period from 1993- 94 to 2010-11. Out of the 25 HF crossbred cows 18 were on born and 7 were purchased. Cobb Douglas model was used for estimation of 305 days milk yield and total milk yield in HF crossbred cow with high efficiency. Tri period moving average was tried for each lactation of the high milk producing animal to fit the time series model. Lactation wise milk yield was estimated using various models out of those sixth degree polynomial was found to be best suitable in estimating individual 305 days and total milk yield up to four lactations followed by Sinusoidal model based on R2, SE and RMSE values. The farm managers may use this model for milk yield estimation. The Weibull distribution was fitted for 305 days and total milk yield. The multiple linear regression equations was also tried using various parameters. The backward regression indicates the most contributing parameters were 305 days milk yield, lactation length and peak yield in estimating the life time milk yield. This would help in taking proper managerial decisions to remove low producing animals from the farm.