Potential of Livestock Production Systems: Explaining Employability and Milk Productivity Through Multivariate Typology

A study was conducted in four different agro-climatic zones of Maharashtra state India. The typology developed with an aim to identify livestock production system, employment generation, and milk productivity oflivestock system. Multivariate statistical technique, i.e. Cluster analysis (CA) used classify groupsof farm households similar characteristics into homogenous clusters, viz. possessingsmall landholding, a larger high yielding dairy stock small goat flock size (37.5%); landholding asmall animal (39%); large yieldingdairy (13.5%); size(10%). It observed that 47.5% the respondents had 31.3% totalman-days generated for family labour were (165.87) cluster 2 while, hired labour, man-daysgenerated 4 households. Milk yield index significantly 3 1households. Spearman correlation revealed independent variables, total SAU, size, income from dairyand system positively correlated productivity, generation (man-days) andgross annual income. Multiple regression integration farming along technology adoption influenced landholders.