A major challenge for crop research in the 21st century is how to predict crop performance
as a function of genetic architecture. Advances in “next generation” DNA sequencing have …

… Author links open overlay panel Alexander E Lipka 1 , Catherine B Kandianis 2 3 , Matthew
E Hudson 1 , Jianming Yu 4 , Jenny Drnevich 5 , Peter J Bradbury 6 , Michael A Gore 3 …

Field-based, high-throughput phenotyping enables the detailed characterization of plant
populations under relevant conditions, providing valuable biological insight into the life …

Software programs that conduct genome-wide association studies and genomic prediction
and selection need to use methodologies that maximize statistical power, provide high …

Mixed linear model (MLM) methods have proven useful in controlling for population structure
and relatedness within genome-wide association studies. However, MLM-based methods …

Maize is an important crop species of high genetic diversity. We identified and genotyped
several million sequence polymorphisms among 27 diverse maize inbred lines and discovered …

Physiological and developmental traits that vary over time are difficult to phenotype under
relevant growing conditions. In this light, we developed a novel system for phenotyping …

Northern leaf blight (NLB) can cause severe yield loss in maize; however, scouting large
areas to accurately diagnose the disease is time consuming and difficult. We demonstrate a …

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 …

… In contrast, some of the more recently released cultivars showed less of a difference in yield
between WW and WL growth conditions (Gore, unpublished data). These cultivars are either …