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Heritability estimates and genetic correlations of various production and reproductive traits of different grades of dairy cattle reared under subtropical condition.

Ilyas AliSyed Muhammad SuhailMuhammad Shafiq
Published in: Reproduction in domestic animals = Zuchthygiene (2019)
Inheritance of economic traits and their genetic correlation was studied in different breeds and their various grades (crossbred's cattle) under the subtropical condition. Data on principal parameters comprising 10 years, that is 2004-2014, were utilized for the present study. Different grades of dairy cows comprising Holstein Friesian (HF), Sahiwal x Friesian (SxHF), Jersey (J), Jersey x Achai (JxAC) and Achai (AC) were included in the study. Heritability estimates and genetic correlations of some important productive and reproductive traits were worked out. Heritability estimates of certain economic traits were found to be: birthweight, 0.32 ± 0.181; age at maturity, 0.11 ± 0.136; age at first calving, 0.19 ± 0.162; days open, 0.09 ± 0.121; calving interval, 0.14 ± 0.211; dry period, 0.11 ± 0.124; lactation length, 0.04 ± 0.212 and lactation yield, 0.46 ± 0.206. Genetic correlation showed that body weight was significantly and positively correlated with lactation length (0.30) and lactation yield (0.81), while negatively correlated with age at maturity, age at first calving, days open, calving interval and dry period (-0.09, -0.07, -0.16, -0.34 and -0.002, respectively). Calving interval was positively and significantly correlated with the dry period (0.56), lactation length (0.72) and lactation yield (0.37). Moderate to higher heritability estimates with adequate genetic variance was found for body weight and lactation yield. The moderate to higher heritability estimates of birthweight in the present study revealed that this important trait might be considered in selection criteria.
Keyphrases
  • dairy cows
  • genome wide
  • body weight
  • human milk
  • copy number
  • dna methylation
  • minimally invasive
  • machine learning
  • high intensity
  • mitochondrial dna
  • preterm infants
  • single cell
  • deep learning
  • acute heart failure