Two experiments were conducted 1) to validate a field protocol for the determination of ruminal pH and 2) to develop a strategy to interpret ruminal pH data from groups of cows. In the first experiment, ruminal fluid was collected from 30 lactating dairy cows. Ruminal fluid pH was 0.28 pH units lower for fluid collected by rumenocentesis than for fluid collected through a ruminal cannula. Concentrations of volatile fatty acids were correspondingly higher in samples collected by rumenocentesis. A portable pH meter capable of measuring pH of a very small volume of ruminal fluid yielded very similar pH readings as did a standard meter with a pH probe. Filtration or aspiration of ruminal fluid had no effect on pH. In the second experiment, a strategy was developed to use ruminal pH values from a subsample of cows to distinguish between groups fed either a low or higher forage diet. Groups could be distinguished using a cut point of 5.5 ruminal pH, a sample size of 12 cows, and a critical value of 3 or more cows below the cut point. This strategy had the lowest theoretical error rate for herds with either a high or low prevalence of cows with a low ruminal pH.

No abstract

The flexible moment‐based approach to production analysis is used to measure the stochastic structure of large‐scale dairy production in Tulare County, California. This approach is flexible because it does not impose restrictions on the relationships between decision variables and the moments of the probability distribution of output. The parameter estimates support the hypothesis that second and third moments are functions of inputs and indicate that capital‐intensive dairies are riskier. The implied behavior of a risk‐averse dairy manager changed markedly when the effects of inputs on the skewness of the output distribution were included in a decision model.

Identified economic opportunities for planning interventions greatly increase farmers' compliance with an extension programme. We investigated opportunities for interventions to increase dairy farmers' income in four areas of Bangladesh, including the districts of Mymensingh, Khulna-Satkhira, Sirajgonj-Pabna and Chittagong. The data were collected from 1440 dairy farms at a one-day visit and were summarized as the difference between management targets and each herd's calculated management indices. The average number of lactating cows, feed cost as a percentage of income from milk, milk sold as percentage of milk produced, lactating cows as a percentage of mature cows, and lactating cows as a percentage of total cattle varied from 1.5 to 3.4, from 52.5% to 92.1%, from 78.7% to 92.6%, from 81.9% to 86.7% and from 34.3% to 37.7%, respectively. The average age at first calving, calf production interval, lactation length, and milk production were 35.0-44.3 months, 14.0-17.6 months, 249-286 days and 3.5-7.2 litres, respectively, depending on the locality. The average cost for producing 100 litres of milk was 18.9-35.1 US dollars. The production cost increased when daily milk production per cow decreased (r2 = 0.43-0.55). Management improvements directed towards increasing average milk production per cow per day, increasing lactation length, decreasing age to first calving, and decreasing calf production interval could expect to yield an average income increase up to a range of 676.3-1730.6 US dollars depending on the milk-producing area.

No abstract