Welcome to the Sorghum SNP Benchmark Leaderboard

A deeper understanding of the genotype x phenotype relationship -- the relationship between the plant's genetics and its actual expressed traits -- is crucial for breeding improved crops. The complex interplay between genes and their resulting phenotypic traits can impact various desirable characteristics such as yield, drought tolerance, nutrient content, and biomass accumulation.

By unraveling the intricacies of how specific genetic traits manifest in the sorghum plant's physical traits and performance, researchers can better identify and select for desirable traits during breeding programs.

The Sorghum Genotype x Phenotype (SGxP) dataset and benchmark seeks to advance the understanding of the sorghum genotype x phenotype relationship, and the ways that machine learning and computer vision can be used to uncover these relationships. You can read the full details about the SGxP dataset in the paper here.

The leaderboards below show the performance of machine learning approaches on the various SGxP benchmarks. Click on a specific SNP to see more information about it or to download the corresponding datasets. To submit new results to the leaderboard, click here.