Robotized indoor phenotyping allows genomic prediction of adaptive traits in the field.

ABSTRACT: Breeding for resilience to climate change requires considering adaptive traits such as plant architecture, stomatal conductance and growth, beyond the current selection for yield. Robotized indoor phenotyping allows measuring such traits at high throughput for speed breeding, but is often considered as non-relevant for field conditions. Here, we show that maize adaptive traits can be inferred in different fields, based on genotypic values obtained indoor and on environmental conditions in each considered field. The modelling of environmental effects allows translation from indoor to fields, but also from one field to another field. Furthermore, genotypic values of considered traits match between indoor and field conditions. Genomic prediction results in adequate ranking of genotypes for th

SUBMITTER: Bouidghaghen J 

PROVIDER: S-EPMC10587076 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature