Samir Alahmad

This study shows that mungbean genotypes significantly influence subsequent wheat yield through legacy effects, suggesting opportunities to breed for system-level productivity in sustainable farming.

This paper uses UAV phenotyping and machine learning to predict barley root traits in the field, identifying genetic drivers of root gravitropism.

This paper identifies haploblocks associated with multiple disease resistance in wheat using a diversity panel and demonstrates their potential to improve resistance through haplotype stacking.

This study examines the relationship between seminal root angle and root system architecture in durum wheat, showing distinct RSA patterns in wide and narrow genotypes at later growth stages.

This study identifies QTL associated with canopy closure timing in durum wheat that improve yield in rainfed environments without yield penalties.