Improving Genomic Prediction in Cassava Field Experiments by Accounting for Interplot Competition.

ABSTRACT: Plants competing for available resources is an unavoidable phenomenon in a field. We conducted studies in cassava (Manihot esculenta Crantz) in order to understand the pattern of this competition. Taking into account the competitive ability of genotypes while selecting parents for breeding advancement or commercialization can be very useful. We assumed that competition could occur at two levels: (i) the genotypic level, which we call interclonal, and (ii) the plot level irrespective of the type of genotype, which we call interplot competition or competition error. Modification in incidence matrices was applied in order to relate neighboring genotype/plot to the performance of a target genotype/plot with respect to its competitive ability. This was added into a genomic selection (GS)

SUBMITTER: Elias AA 

PROVIDER: S-EPMC5844313 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature