Flexible modelling of spatial variation in agricultural field trials with the R package INLA.

ABSTRACT:

Key message

Established spatial models improve the analysis of agricultural field trials with or without genomic data and can be fitted with the open-source R package INLA. The objective of this paper was to fit different established spatial models for analysing agricultural field trials using the open-source R package INLA. Spatial variation is common in field trials, and accounting for it increases the accuracy of estimated genetic effects. However, this is still hindered by the lack of available software implementations. We compare some established spatial models and show possibilities for flexible modelling with respect to field trial design and joint modelling over multiple years and locations. We use a Bayesian framework and for statistical inference the integrated nested Lap

SUBMITTER: Selle ML 

PROVIDER: S-EPMC6820601 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature