A Novel Estimation of Unobserved Pig Growth Traits for the Purposes of Precision Feeding Methods.

ABSTRACT: Recent technological advances make it possible to deliver feeding strategies that can be tailored to the needs of individual pigs in order to optimise the allocation of nutrient resources and contribute toward reducing excess nutrient excretion. However, these efforts are currently hampered by the challenges associated with: (1) estimation of unobserved traits from the available data on bodyweight and feed consumption; and (2) characterisation of the distributions and correlations of these unobserved traits to generate accurate estimates of individual level variation among pigs. Here, alternative quantitative approaches to these challenges, based on the principles of inverse modelling and separately inferring individual level distributions within a Bayesian context were developed and incor

SUBMITTER: Misiura MM 

PROVIDER: S-EPMC8360350 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature