SciELO - Scientific Electronic Library Online

vol.66 issue1Characterization of Carbofuran Degrading Bacteria Obtained from Potato Cultivated Soils with Different Pesticide Application RecordsEvaluation of Mechanical Beaters in Coffee Harvesting author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand



Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google


Revista Facultad Nacional de Agronomía Medellín

Print version ISSN 0304-2847


RODRIGUEZ NEIRA, Juan Diego; CORREA LONDONO, Guillermo Antonio  and  ECHEVERRI ZULUAGA, José Julián. Prediction Models for Total Milk Yield and Fat Percentage Using Partial Samples. Rev. Fac. Nac. Agron. Medellín [online]. 2013, vol.66, n.1, pp.6909-6917. ISSN 0304-2847.

This research aimed to present prediction models for daily total milk yield and percentage of total fat from the partial productions in the morning (a.m.) and the afternoon (p.m.). This research was carried out with three dairy herds in Antioquia. 182 Holstein dairy cows milked twice a day were sampled monthly over a year. Recorded data included: information on entering time, milk yield, fat percentage, parity, days in milk, calving season and milking intervals. Predictive models were created from multiple regression analysis. The effects of duration of days in milk, milking interval, birth number, fat percentage and the quadratic terms of the previously mentioned effects were significant for the percentage of fat per day and the total milk production per day. Fat percentage and total milk production are affected by different environmental factors. In order to have more accurate estimates of production, it is necessary to consider adjustment factors for the known effects.

Keywords : Environmental effects; mathematical models; adjustment factors; genetic improvement.

        · abstract in Spanish     · text in English     · English ( pdf )