Milking frequency is known to affect milk production and lactation persistence in dairy cows. Despite this, the mechanisms underlying this effect are only partially understood. Previous work in dairy cows examining increases in milk yield due to increased milking frequency have identified changes in apoptosis and expression of genes regulating cytokine signaling. In addition, changes in mitocho...

The use of PCR tests as diagnostics for intramammary infections (IMI) based on composite milk samples collected in a non-sterile manner at milk recordings is increasing. Carryover of sample material between cows and non-aseptic PCR sampling may be incriminated for misclassification of IMI with Streptococcus agalactiae (S. agalactiae) in dairy herds with conventional milking parlours. Misclassif...

in this research in order to estimate genetic parameters for milk yield at different milking times for holstein cows of razavi khorasan, a total of 180,462 monthly test day records belonging to first lactation cows calved from 2000 to 2009 were utilized. the records were analysed by a random regression test day model. in the model, the fixed effects of contemporary group of geographical locatio...

milk and fat yields in 3x and 4x milking schedule in holstein cows of iran were investigatedusing 374170 milk and fat yield test day records measured on the 1st and 2nd lactions of 54580 dairycattle coming from 205 herds. the records had been collected from 2007 to 2009 by the iraniananimal breeding center (iabc). the results indicated that an increases in the milking frequency from3x to 4x inc...

The fully automated milking system VMS has different functions which complements the actual milking of cows. This master thesis presents a method to improve the calculation of milk yield in dairy cows for the VMS. This report also investigates if it is possible to improve the algorithm for finding cows with mastitis (udder inflammation). The correctness of the prediction of milk yield is import...

This manuscript presents the idea of providing dairy farmers with probability distributions to support decisions on mastitis management and illustrates its feasibility by two applications. Naive Bayesian networks were developed for both applications. The networks in the first application were used to compute probability distributions to support decisions on which cows from a mastitis alert list...