Scientists Predict Super Peanut Crosses by Decoding Yield Gene Systems
Researchers mapped haplotype-based QTL-allele systems for peanut kernel and pod weight and predicted thirty optimal crosses that could push both ...
Researchers mapped haplotype-based QTL-allele systems for peanut kernel and pod weight and predicted thirty optimal crosses that could push both ...
Integrated transcriptome and metabolome analysis reveals that peanut seedlings under toxic selenium levels ramp up the phenylpropanoid biosynthesis pathway, with ...
New research shows that maize root exudates rich in organic acids acidify the rhizosphere and unlock soil potassium, rescuing potassium-stressed ...
A four-year Georgia study found that sophisticated neural networks struggled to beat a simple persistence baseline in forecasting peanut root-zone ...
A three-year Georgia field study found that machine learning models fed PlanetScope satellite vegetation indices could not reliably predict peanut ...
A Peking University study shows that the circadian clock protein CCA1 and MYB transcription factors regulate sugar transporter and aquaporin ...
A graph-based peanut pan-genome built from 14 genomes and resequencing of 2,320 accessions reveals structural variation, identifies flowering and dwarfing ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine