Fusarium ear rot (FER) is a destructive maize fungal disease worldwide. In this study, three tropical maize populations consisting of 874 inbred lines were used to perform genome-wide association study (GWAS) and genomic prediction (GP) analyses of FER resistance. Broad phenotypic variation and high heritability for FER were observed, although it was highly influenced by large genotype-by-environment interactions. In the 874 inbred lines, GWAS with general linear model (GLM) identified 3034 single-nucleotide polymorphisms (SNPs) significantly associated with FER resistance at the P-value threshold of 1 × 10⁻⁵, the average phenotypic variation explained (PVE) by these associations was 3% with a range from 2.33% to 6.92%, and 49 of these associations had PVE values greater than 5%. The GWAS analysis with mixed linear model (MLM) identified 19 significantly associated SNPs at the P-value threshold of 1 × 10⁻⁴, the average PVE of these associations was 1.60% with a range from 1.39% to 2.04%. Within each of the three populations, the number of significantly associated SNPs identified by GLM and MLM ranged from 25 to 41, and from 5 to 22, respectively. Overlapping SNP associations across populations were rare. A few stable genomic regions conferring FER resistance were identified, which located in bins 3.04/05, 7.02/04, 9.00/01, 9.04, 9.06/07, and 10.03/04. The genomic regions in bins 9.00/01 and 9.04 are new. GP produced moderate accuracies with genome-wide markers, and relatively high accuracies with SNP associations detected from GWAS. Moderate prediction accuracies were observed when the training and validation sets were closely related. These results implied that FER resistance in maize is controlled by minor QTL with small effects, and highly influenced by the genetic background of the populations studied. Genomic selection (GS) by incorporating SNP associations detected from GWAS is a promising tool for improving FER resistance in maize.

In vivo haploid induction based on maternal haploid inducers is the first step in deriving completely homozygous maize doubled haploid (DH) lines. Haploid induction rate (HIR) is influenced by both pollen parent inducing haploidy and the maternal source germplasm used in induction crosses. This study was aimed at analyzing the influence of source germplasm on HIR using 671 tropical inbred lines organized in two association mapping panels. These two association mapping panels (AMP1 and AMP2) were crossed to two different Tropically Adapted Inducer Lines (TAILs). For HIR assessment, seeds from induction crosses were planted in the field and ploidy status of each surviving plant was assessed using a gold standard classification based on visual differences between the haploid and diploid plants. The analysis revealed significant variation for HIR and led to identification of several tropical inbred lines that respond very positively to haploid induction. Use of HIR data in a genome wide association study (GWAS) led to identification of twenty-seven and two SNPs that were significantly associated with HIR in AMP1 and AMP2, respectively. Meta-analysis of AMP1 and AMP2 GWAS led to identification of 52 SNPs with significant effect on HIR across both studies. Genome-wide prediction revealed moderate to high prediction accuracy within AMPs using random SNPs. Inclusion of the SNPs detected in GWAS into the prediction model led to improvement in prediction accuracy. Overall, the study revealed that the maternal influence on HIR is controlled by a few moderate and many small effect QTL.