An image?based methodology to evaluate oat panicle architecture

Panicle size and architecture are traits of major relevance for oat production as they play a key role in conditioning the potential number grains per spikelet consequence grain shape, size, distribution. The aim this research was to propose an image-based strategy methodology evaluate panicles. Specifically, goals were create deploy foundations high-throughput phenotype panicles determine optimum needed detect differences between genotypic means panicle with high power. A total 48 genotypes evaluated four field experiments three true replications two locations 2 years. Ten experimental unit harvested image analysis using MATLAB. length, width, aspect ratio, compactness, digital biomass obtained from images. heritability all 0.76 0.93. power 0.80 significant at alpha 0.05 among reached use six replication. Our results showed highly efficient powerful study oat. This could be scaled-up efficiently large populations provide basis understanding morphology