Reducing herbivory in mixed planting by genomic prediction of neighbor effects in the field.

ABSTRACT: Genetically diverse populations can increase plant resistance to natural enemies. Yet, beneficial genotype pairs remain elusive due to the occurrence of positive or negative effects of mixed planting on plant resistance, respectively called associational resistance or susceptibility. Here, we identify key genotype pairs responsible for associational resistance to herbivory using the genome-wide polymorphism data of the plant species Arabidopsis thaliana. To quantify neighbor interactions among 199 genotypes grown in a randomized block design, we employ a genome-wide association method named "Neighbor GWAS" and genomic prediction inspired by the Ising model of magnetics. These analyses predict that 823 of the 19,701 candidate pairs can reduce herbivory in mixed planting. We planted three pa

SUBMITTER: Sato Y 

PROVIDER: S-EPMC11458863 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature