A study on milk yield persistency using the best prediction and random regression methodologies in Iranian Holstein dairy cows

Vista sencilla de ítem
dc.creatorM. Elahi Torshizi
dc.creatorM. Hosseinpour Mashhadi
dc.date2018
dc.date.accessioned2026-07-07T03:35:02Z
dc.descriptionThe data consisted of 435,390 test day milk yield records of primiparous cows in 659 herds calving from 2001 to 2011. Evaluation of persistency using best prediction methodology showed that the phenotypic correlation between this persistency measure and total milk yield was 0.450, while the best reference day, the heritability of persistency and 305 d milk yield estimated by this method, were day 130, 0.11 and 0.305, respectively. Heritabilities of milk yield persistency for Pers1 predicted breeding value from 106-205 days in milk, subtracted from predicted breeding value from 6-105 days in milk) and Pers2 (predicted breeding value from 206-305 days in milk subtracted from predicted breeding value from 6-105 days in milk) calculated by Random regression methodology were 0.09 to 0.185, respectively. The results showed that the best prediction method is powerful and accurate in measuring persistency. However, due to the flexibility of random regression methodology, some measures of persistency using this method can have higher heritability and genetic correlation with total milk yield compared to the best prediction methodology. It can therefore be concluded that calculation of persistency using random regression methodology is preferred to the best prediction method.
dc.formatapplication/pdf
dc.identifier0034-7485
dc.identifierhttps://www.redalyc.org/articulo.oa?id=193060591002
dc.identifierhttps://www.redalyc.org/journal/1930/193060591002/
dc.identifierhttps://www.redalyc.org/journal/1930/193060591002/html/
dc.identifierhttps://www.redalyc.org/journal/1930/193060591002/193060591002.epub
dc.identifierhttps://www.redalyc.org/journal/1930/193060591002/movil
dc.identifier.urihttp://hdl.handle.net/123456789/437957
dc.languageen
dc.publisherInstituto de Ciencia Animal
dc.relationhttp://www.redalyc.org/revista.oa?id=1930
dc.rightsRevista Cubana de Ciencia Agrícola
dc.sourceRevista Cubana de Ciencia Agrícola (Cuba) Num.2 Vol.52
dc.subjectAgrociencias
dc.titleA study on milk yield persistency using the best prediction and random regression methodologies in Iranian Holstein dairy cows
dc.typeartículo científico

Archivos

Colecciones

Revista Cubana de Ciencia Agrícola - Instituto de Ciencia Animal