Abstract
A cross sectional study was conducted to observe the factors affecting the productive performance of dairy cattle from northern rural areas of Bangladesh during July and September 2013. Data of 105 cows, 85 (80.95%) from local and 20 (19.05%) cows from cross breed, were randomly selected for the study. A binary logistic regression, expressed by odds ratio with 95% confidence interval, was done to determine the association of daily milk production categorized into ? 2 and > 2 liters (L), based on median, with the significant explanatory variables of body weight, age at first calving, lactation period, vitamin use, type of floor and milking person. The result demonstrated that the probability of milk production of >2 L was 6.16, 4.5, 20.65 and 5.7 times higher from the with animal body weight of >140 kg, age at first calving of >36 m, lactation period of >8 m and vitamin use than that of body weight of 140 kg, age at first calving of ?36 m, lactation period of ? 8 m, and not vitamin used respectively. The chance of milk production of > 2 L was 0.25 and 0.22 times lower for mud floor, and owner milking than that of brick floor and gowala (professional milking person) respectively. DOI: http://dx.doi.org/10.3329/ijarit.v4i2.22646 Int. J. Agril. Res. Innov. & Tech. 4 (2): 41-45, December, 2014
Highlights
An important component of national economy, Bangladesh has 47.51 million livestock of which 22.87 million are cattle, plays a vital role for economic development of Bangladesh (BBS, 2008)
The maximum frequency of milking daily once was found 87 (82.9%), and 29 (27.6%) owner collect milk by Gowala (Professional milkers) and remaining 76 (72.4%) by himself but the proportion of vitamin used during lactation period was only 29 (27.6%)
It was revealed that, significant relation was pragmatic between milk production and age at first calving which was consistent with previous literature (Pirlo et al, 2000; Bayram et al, 2009; Bajwa et al, 2004)
Summary
An important component of national economy, Bangladesh has 47.51 million livestock of which 22.87 million are cattle, plays a vital role for economic development of Bangladesh (BBS, 2008). Better genotype and sound management are the major determinants of profitability of dairying at either farm or individual level (Djemali and Freeman, 1987; Rahman et al, 1987) performances of high yielding exotic crossbred cows may differ among different geographical areas (Jahan et al, 1990; Alam and Ghosh, 1994). Biological potential for milk production depends on the age at puberty, first calving age, number of parity and calving interval (Djemali and Freeman, 1987; Rahman et al, 1987). Around 2 years age of first calving and less than 13 to 14 months calving interval are the indicators of better management index of a farm (Wiltbank, 1970; Sarder, 2001). The goal was to quantify the significant association of milk production with other covariates and factors by implying binary logistic regression model
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