A user-friendly software to accurately count and measure cysts from the parasitic nematode Heterodera glycines

• Published in: Scientific reports Vol. 15; no. 1; pp. 4468 - 12
• Main Authors: Mejias, Joffrey, Kozlowski, Djampa K. L., Goshon, Jackson, Maier, Thomas R., Baum, Thomas J.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 06.02.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 631/114/1564; 631/449/2169/597; Animals; Cysts; Gene mapping; Genome-wide association studies; Glycine max - parasitology; Heterodera glycines; Humanities and Social Sciences; multidisciplinary; Nemacounter; Neural network; New varieties; Plant breeding; Plant Diseases - parasitology; Plant Roots - parasitology; Quantitative Trait Loci; Roots; Science; Science (multidisciplinary); Software; Soybean cyst nematode; Soybeans; Tylenchoidea; YOLOv5; Soybean cyst nematode; Neural network; YOLOv5; Nemacounter

The soybean-cyst nematode (SCN; Heterodera glycines ) is one of the most destructive pests affecting soybean crops. Effective management of SCN is imperative for the sustainability of soybean agriculture. A promising approach to achieving this goal is the development and breeding of new resistant so...