Estimation of Genetic Parameters for Peak Yield, Yield and Persistency Traits in Murciano-Granadina Goats Using Multi-Traits Models

Estimation of Genetic Parameters for Peak Yield, Yield and Persistency Traits in Murciano-Granadina Goats Using Multi-Traits Models

Blog Article

This paper studies parameters of a lactation curve such as peak yield (PY) and persistency (P), which do not conform to the usual selection criteria in the Murciano-Granadina (MG) breed, but are considered to be an alternative to benefit animal welfare without reducing production.Using 315,663 production records (of 122,883 animals) over a period of 24 years (1990−2014), genetic parameters were estimated with uni-, bi- and multivariate analysis using multiple trait derivative free restricted maximum likelihood (MTDFREML).The heritability (h2)/repeatability (re) of PY, yield (Y) and P was estimated as 0.13/0.19, 0.

16/0.25 and cent dyyni 0.08/0.09 with the uni-trait and h2 of bi- and multi-traits analysis ranging from 0.16 to 0.

17 of Y, while that of PY and Y remained constant.Genetic correlations were high between PY−Y (0.94 ± 0.011) but low truvisionhealthftp.com between PY−P (−0.16 ± 0.

054 to −0.17 ± 0.054) and between Y−P (−0.06 ± 0.058 to −0.

05 ± 0.058).Estimates of h2/re were low to intermediate.The selection for Y−PY or both can be implemented given the genetic correlation between these traits.PY−P and Y−P showed low to negligible correlation values indicating that if these traits are implemented in the early stages of evaluation, they would not be to the detriment of PY−Y.

The combination of estimated breeding values (EBVs) for all traits would be a good criterion for selection.