Longitudinal genomic analyses of automatically-recorded vaginal temperature in lactating sows under heat stress conditions based on random regression models.

ABSTRACT:

Background

Automatic and continuous recording of vaginal temperature (T_V) using wearable sensors causes minimal disruptions to animal behavior and can generate data that enable the evaluation of temporal body temperature variation under heat stress (HS) conditions. However, the genetic basis of T_V in lactating sows from a longitudinal perspective is still unknown. The objectives of this study were to define statistical models and estimate genetic parameters for T_V in lactating sows using random regression models, and identify genomic regions and candidate genes associated with HS indicators derived from automatically-recorded T_V.

Results

Heritability estimates for T_V ranged from 0.14 to 0.20 over time (throughout the day

SUBMITTER: Wen H 

PROVIDER: S-EPMC10734178 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature