The study aimed to analyze the adoption of 22 technologies on dairy buffalo production in selected sites in the Philippines. A total of 666 farmer-informants who were previously exposed to training and other extension support services on dairy buffalo production were interviewed using semi-structured questionnaire. Dichotomous (yes or no) frequency and percentage responses along five stages, i.e., 'awareness', 'interest', 'evaluation', 'trial', and 'adoption' were transformed to sigma (Z) scores for adoption. Frequency responses for 'number of years of adoption' were likewise transformed to sigma scores. The two sigma scores were added to get the total adoption scores for each technology. The total or combined adoption scores (dependent variable) for all technologies were then tested for linear correlation and multiple regression with selected socio-economic traits, farm characteristics, and other independent variables. Most of the farmer-informants had at least 75 percent adoption rate in animal health care, improved forage feeding, estrus detection, and feeding of calves with colostrum. Multiple regression analysis indicates that attribution scores, years of experience in dairying, technical assistance, animal inventory, distance of the farm from a buffalo R and D institution, access to information materials and income from dairying positively and significantly influenced adoption scores. To increase adoption, improving the attribution by farmers to technologies as regards their relative advantage, compatibility with existing farm operations, trialability, and simplicity should be given priority consideration in designing and implementing extension delivery systems since it is the most powerful predictor variable to adoption.

A case-control study was conducted to identify the factors associated with the success or failure of artificial insemination (AI) of buffaloes in Baybay City, Leyte, Philippines. The cow-calf pair was used as the unit of interest in this study regardless of breed and number of buffalo cows the farmers own. Of the 24 selected barangays, an equal number of cases (38 failed AI) and control (38 successful AI) were selected from 78 farmercooperators of the Philippine Carabao Center (PCC) AI program and data were collected using a questionnaire. On the one hand, our study found that every year increment beyond the age at first breeding of the cow could predispose the animals to fail by as much as 2.5 times when compared to younger cows. On the other hand, a monthly increment in the calf weaning age may increase the likelihood of AI success by as much as 50 percent. These results imply that the age at first breeding must be conscientiously considered to allow optimal sexual and physical maturity of the breeding cows while ensuring that first breeding does not occur with too much delay. Moreover, while more mature calves have higher chances of success at weaning, provision of wallow during pregnancy also appears to support AI success as an effective method of cooling.