Genetic Evaluation of Murrah buffaloes by fitting Random Regression Models using B-spline function


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Authors

  • Ashish Ranjan PhD
  • Dr. ANAND JAIN Principal Scientist
  • Dr. ARCHANA VERMA Principal Scientist
  • Dr. RANJANA SINHA PhD
  • Dr. POOJA JOSHI
  • Dr. G. R GOWANE Senior seientist

https://doi.org/10.56093/ijans.v95i11.133573

Keywords:

eigenvalues, Legendre polynomial, quadratic spline, Random Regression Model

Abstract

In the present study, random regression models with both random and fixed effect regressions fitted by B-spline functions were used to estimate genetic parameters with 5 knots. The common effects for all models were month of recording, year of recording as fixed regressions on daily milk yield records and random regressions for additive genetic and permanent environmental effects. Among model studied with B-spline functions considering homogeneity and heterogeneity of residual variances, the model that best fit the data was BSQ5H1 (quadratic B-spline model of polynomial order 6 with homogenous residual variance) having knot at 5th, 80th ,155th, 230th  and 305th  DIM for the first lactation daily milk yield records of Murrah buffaloes. For BSQ5H1, the R2 value with estimated arithmetic mean of daily milk yield for first lactation was 93.7%. The highest values of additive genetic (1.22kg2) and permanent environment variance (5.27kg2) were observed in the initial (5th) and last (305th) DIM of lactation. Heritability estimates ranged from 0.07±0.05 to 0.21±0.07. It was observed that the heritability estimates were higher in early and late lactation while lower in mid of lactation (DIM 110 to 154). The estimated value of genetic correlation ranged from -0.50 (DIM 5 with DIM 174 to DIM 187) to 1.00. The DIM 5 had negative genetic correlations with peak yield DIM 65 to DIM 243. The rank correlation between sires with 6th order of Legendre polynomial function (RLP6) with BSQ5H1 was more than 0.99 and highly significant (P<0.001). The high rank correlation between two models, using indicate that both are equally efficient for genetic evaluation of Murrah buffaloes.

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Author Biographies

  • Dr. ANAND JAIN, Principal Scientist

    Principal Scientist, Animal Genetic Resources Division, ICAR- NBAGR, Karnal, Haryana, India.

  • Dr. ARCHANA VERMA, Principal Scientist

    Principal Scientist, Animal Genetics and Breeding division, ICAR-NDRI, Karnal, Haryana, India

  • Dr. RANJANA SINHA, PhD

    PhD, Livestock Production Management, ICAR-NDRI, Karnal, Haryana, India.

  • Dr. POOJA JOSHI

    PhD, Animal Genetics and Breeding, ICAR-NDRI, Karnal, Haryana, India

  • Dr. G. R GOWANE, Senior seientist

    Senior Scientist,  Animal Genetics and Breeding, ICAR-NDRI, Karnal, Haryana, 132001, India.

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Submitted

2023-02-21

Published

2026-07-10

Issue

Section

Articles

How to Cite

Ranjan, A., Dr. ANAND JAIN, Dr. ARCHANA VERMA, Dr. RANJANA SINHA, Dr. POOJA JOSHI, & Dr. G. R GOWANE. (2026). Genetic Evaluation of Murrah buffaloes by fitting Random Regression Models using B-spline function. The Indian Journal of Animal Sciences, 96(5). https://doi.org/10.56093/ijans.v95i11.133573
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