Bayesian Analysis of Factors Influencing Milk Productivity of Small-hold Dairy Buffalo Farmers in South Luzon, Philippines

Thelma Saludes

Philippine Carabao Center at UP Los Baños, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan.

Hironobu Takeshita *

Department of Bioresource Sciences, Graduate School of Bioagricutural Sciences, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan.

*Author to whom correspondence should be addressed.


Abstract

This study analyzed the factors influencing milk productivity of smallholder dairy buffalo farmers in South Luzon, Philippines. We used a cross-sectional data collected from 61 dairy buffalo farmers. This is the first local study to apply a Bayesian approach. The empirical results revealed that among the socio-economic, farm, and technology characteristics investigated, the household size have a positive effect, the number of lactating dairy buffalo negative effect, and the technology adoption of data recording a positive effect on milk productivity of dairy buffalo farmers rendering these factors significant in the analysis of productivity.

Keywords: Bayesian approach, milk productivity, dairy buffalo production, smallholder farmers.


How to Cite

Saludes, Thelma, and Hironobu Takeshita. 2021. “Bayesian Analysis of Factors Influencing Milk Productivity of Small-Hold Dairy Buffalo Farmers in South Luzon, Philippines”. Journal of Experimental Agriculture International 43 (1):1-11. https://doi.org/10.9734/jeai/2021/v43i130625.

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