Abstract

The objective of this study was to estimate lactation curve parameters with Dijkstra mechanistic model and to evaluate genetic and phenotypic relationships between the parameters and the average somatic cell count in primiparous cows. The finding indicated that heritability estimates for partial milk yield (PMY1, PMY2 and PMY3), total 305-day milk yield (TMY305), decay parameter (λ2), age at first calving (AFC) and peak yield (PY) were moderate while the heritability of persistency (PS%), average somatic cell score (AVGSCS), time to peak yield (TP), initial milk production (λ0), specific rate of cell proliferation at parturition (λ1), and specific rate of cell death (λ3) were quite low. Genetic correlations between both AFC and PS% traits with average somatic cell scores was negative (-0.047 and -0.060) but low positive genetic correlation were between partial milk yields (PMY1 and PMY3) while negative genetic correlation (-0.06) was obtained between TMY305 and AVGSCS. Differences between TMY305 of cows with less than 100000 cells mL-1 and cows with >1,500,000 cells mL-1 was approximately 708 Kg and is equivalent to 8% loss of milk yield/cow during lactation period and also loss of persistency (11.1 %( was shown for the extreme classes of SCC in this study.

Highlights

  • Milk production, reproduction performance and udder health are the most important traits in dairy cattle breeding programs

  • Somatic cell count (SCC) is one the critical traits that is an indicator of mastitis or mammary infection in heifers and dairy cattle (Jeretina, Škorjanc, & Babnik, 2017)

  • In order to make a normal distribution, the average number of SCC (AVGSCC) of different test days during lactation was transformed to average number of SCS (AVGSCS) using the following formula (Ali & Shook, 1980): Mechanistic function of Dijkstra was applied for mathematical description of the lactation curve (Dijkstra et al, 1997)

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Summary

Introduction

Reproduction performance and udder health are the most important traits in dairy cattle breeding programs. One of the main mathematical models suggested for studying the lactation curve are mechanistic models like Dijkstra function. This model was developed to describe the growth pattern of the mammary glands during pregnancy and lactation. Average heritability of SCS was found to be lowest at the beginning and highest at the end of lactation in different studies (Elsaid et al, 2011; Yamazaki et al, 2013).

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