Global Genotype by Environment Prediction Competition Reveals That Diverse Modeling Strategies Can Deliver Satisfactory Maize Yield Estimates.

Predicting phenotypes from a combination of genetic and environmental factors is a grand challenge of modern biology. Slight improvements in this area have the potential to save lives, improve food and fuel security, permit better care of the planet, and create other positive outcomes. In 2022 and 2023 the first open-to-the-public Genomes to Fields (G2F) initiative Genotype by Environment (GxE) prediction competition was held using a large dataset including genomic variation, phenotype and weather measurements and field management notes, gathered by the project over nine years.

Hip fractures and outcome in elderly patients in a tertiary care hospital of Sri Lanka.

Unlabelled: This study assessed how elderly patients with hip fractures were affected by factors such as comorbidities, fracture type, treatments, complications, and health-related quality of life. The majority of participants had surgery for their fracture with good prognoses despite having comorbidities. Reductions in the general level of activities related to daily living were proportionately higher even after one year.

Temporal regulation of cold transcriptional response in switchgrass.

Switchgrass low-land ecotypes have significantly higher biomass but lower cold tolerance compared to up-land ecotypes. Understanding the molecular mechanisms underlying cold response, including the ones at transcriptional level, can contribute to improving tolerance of high-yield switchgrass under chilling and freezing environmental conditions. Here, by analyzing an existing switchgrass transcriptome dataset, the temporal regulatory basis of switchgrass transcriptional response to cold is dissected computationally.