Estimation of co-variance components and genetic parameters of fertility and production traits in crossbred cattle of Kerala

• Published in: Theriogenology Vol. 181; pp. 126 - 130
• Main Authors: Valsalan, Jamuna, Sadan, Tina, Anilkumar, Kulangara, Aravindakshan, T.V.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.03.2022
• Subjects: Animals; Cattle - genetics; Co-variance; Crossbred cattle; Female; Fertility; Fertility - genetics; Heritability; Lactation - genetics; Male; Milk; Milk production; Phenotype; Pregnancy; Pregnancy Rate; Crossbred cattle; Heritability; Fertility; Co-variance; Milk production
• ISSN: 0093-691X; 1879-3231
• DOI: 10.1016/j.theriogenology.2022.01.004

Estimation of co-variance components and genetic parameters of fertility and production traits will help to find out the relative importance of genetic and environmental components of each trait and to develop a genetic evaluation system for overall improvement in performances of crossbred cattle of Kerala. In the present study, major fertility trait considered was daughters pregnancy rate (DPR), measures the percentage of non-pregnant animals that become pregnant during each oestrous cycle. Data pertaining to 1180 crossbred cattle sired by 208 Frieswal bulls, spread over a period of 16 years from 2003 to 2019, maintained at different farms of Kerala Veterinary and Animal Sciences University and field centres of ICAR- Filed Progeny Testing Scheme were analysed in the study. Estimates of covariance components and genetic parameters were obtained using restricted maximum likelihood (REML) approach using average information (AI) algorithm. It was observed that DPR had low heritability (0.092 ± 0.03), compared to 305 days milk yield (MY) (0.170 ± 0.094) and fat percent (FP) (0.173 ± 0.072). Phenotypic (rp), genetic (rg) and residual (re) correlation indicated unfavourable association of fertility with production traits. The estimates of variance and (co)variance components were computed by multivariate animal model. The results indicated that DPR was having lower direct additive (σ2a) 0.046 and environmental variance (σ2c) 0.063 compared to other traits. Highest additive genetic variance (σ2a) 27035.8 was obtained for MY. The study estimates the magnitude of correlations and covariances of fertility and production traits. Since DPR had lower additive genetic variance and negative association with milk production traits in cattle, it would be included as an indirect measure in the evaluation and breeding programs of crossbred cattle of Kerala. •Estimation of co-variance components of major traits are very important for the improvement of overall performances of dairy cattle in a herd.•Daughters pregnancy rate, (DPR) had low heritability (0.092 ± 0.03) compared to 305 days milk yield (0.170 ± 0.094) and fat percent (0.173 ± 0.072).•Daughters pregnancy rate, (DPR) had lower additive genetic (σ2a) 0.046 and environmental variance (σ2c) 0.063, while 305 days milk yield had comparatively higher σ2a (27035) and σ2c (198119).•Fertility traits would be included in the selection criteria of dairy cattle.