This article traces the 90-yr history and speculates on future applications of predictive breeding in maize (Zea mays L.). Predictive started 1930s when superior double-cross hybrids were identified based mean four nonparental single crosses. The advent recurrent selection 1940s led to methods predict next cycle selection. shift single-cross 1960s necessitated their performance, genomic best li...

Height is one of the most heritable and easily measured traits in maize (Zea mays L.). Given a pedigree or estimates of the genomic identity-by-state among related plants, height is also accurately predictable. But, mapping alleles explaining natural variation in maize height remains a formidable challenge. To address this challenge, we measured the plant height, ear height, flowering time, and...

Open-pollinated cultivars provide a number of benefits for organic and smallholder farmers, allowing them to save seed, conduct on-farm selection, maintain crop genetic diversity. Synthetic open-pollinated advantages over traditional such farmers. The objective this research was determine the usefulness marker-based prediction models relative structured mating design-based predictions selecting...

The aim of this study was to evaluate the impact of genotype imputation on the performance of the GBLUP and Bayesian methods for genomic prediction. A total of 10,309 Holstein bulls were genotyped on the BovineSNP50 BeadChip (50 k). Five low density single nucleotide polymorphism (SNP) panels, containing 6,177, 2,480, 1,536, 768 and 384 SNPs, were simulated from the 50 k panel. A fraction of 0%...

Genomic selection has been widely used for complex quantitative trait in farm animals. Estimations of breeding values for slaughter traits are most important to beef cattle industry, and it is worthwhile to investigate prediction accuracies of genomic selection for these traits. In this study, we assessed genomic predictive abilities for average daily gain weight (ADG), live weight (LW), carcas...

The ability to predict quantitative trait phenotypes from molecular polymorphism data will revolutionize evolutionary biology, medicine and human biology, and animal and plant breeding. Efforts to map quantitative trait loci have yielded novel insights into the biology of quantitative traits, but the combination of individually significant quantitative trait loci typically has low predictive ab...