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Genetic aspects of Wood's lactation curve parameters in Jersey crossbred cattle using Bayesian approach

Published online by Cambridge University Press:  12 January 2024

Mokidur Rahman ,
Hasan Baneh ,
Indrajit Gayari ,
Muthupalani Karunakaran ,
Thiruvothur Venkatesan Raja ,
Sitangsu Mohan Deb  and
Ajoy Mandal
Mokidur Rahman
Affiliation:
ICAR-National Dairy Research Institute, Eastern Regional Station, Kalyani, 741235, West Bengal, India
Hasan Baneh
Affiliation:
Project Center for Agro Technologies, Skolkovo Institute of Science and Technology (Skoltech), Moscow 121205, Russia
Indrajit Gayari
Affiliation:
ICAR-National Dairy Research Institute, Eastern Regional Station, Kalyani, 741235, West Bengal, India
Muthupalani Karunakaran
Affiliation:
ICAR-National Dairy Research Institute, Eastern Regional Station, Kalyani, 741235, West Bengal, India
Thiruvothur Venkatesan Raja
Affiliation:
ICAR- Central Institute for Research on Cattle, Grass Farm Road, Meerut Cantt, Meerut, Uttar Pradesh 250 001, India
Sitangsu Mohan Deb
Affiliation:
ICAR-National Dairy Research Institute, Eastern Regional Station, Kalyani, 741235, West Bengal, India
Ajoy Mandal*
Affiliation:
ICAR-National Dairy Research Institute, Eastern Regional Station, Kalyani, 741235, West Bengal, India
*
Corresponding author: Ajoy Mandal; Email: ajoymandal@rediffmail.com
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Abstract

The study was undertaken to estimate the genetic parameters of lactation curve parameters of Wood's function in Jersey crossbred cattle using the Bayesian approach. Data on 33,906 fortnightly test day milk yields of 1,718 lactation records of Jersey crossbred cows, maintained at the ICAR-National Dairy Research Institute in West Bengal, were collected over a period of 40 years. The lactation curve parameters including ‘a’ (initial milk yield after calving), ‘b’ (ascending slope up to peak yield) and ‘c’ (descending slope after peak yield) and lactation curve traits, peak yield (ymax), time of peak yield (tmax) and persistency of milk yield (P) of individual cow for each lactation were estimated using the incomplete gamma function (Wood's model) by fitting the Gauss–Newton algorithm as an iteration method using PROC NLIN procedure of SAS 9.3. Variance components and genetic parameters of lactation curve parameters/traits were estimated by a repeatability animal model using the Bayesian approach. Estimates of heritabilities were found to be 0.18 ± 0.05, 0.09 ± 0.03 and 0.11 ± 0.04 for parameters ‘a’, ‘b’ and ‘c’, respectively and 0.24 ± 0.05, 0.12 ± 0.04, and 0.15 ± 0.05 for ymax, tmax and P, respectively. Repeatability estimates were 0.31 ± 0.03, 0.21 ± 0.04 and 0.30 ± 0.04 for parameters ‘a’, ‘b’ and ‘c’ respectively and 0.39 ± 0.03, 0.24 ± 0.03 and 0.37 ± 0.03 for ymax, tmax and p, respectively. Genetic correlations among lactation curve parameters/traits ranged from −0.75 to 0.95. Existence of genetic correlations among lactation curve parameters/traits indicated substantial genetic and physiological relationships among lactation curve parameters/traits of Jersey crossbred cattle.

Keywords

Lactation curveincomplete gamma functionheritabilityrepeatabilitygenetic correlation
Type
Research Article
Information
Journal of Dairy Research , Volume 90 , Issue 4 , November 2023 , pp. 332 - 338
Copyright
Copyright © ICAR-National Dairy Research Institute, 2024. Published by Cambridge University Press on behalf of Hannah Dairy Research Foundation

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