Jawahar R. Sharma’s "Statistical and Biometrical Techniques in Plant Breeding"
Before the digital age of R-software, Python, and AI-driven phenotyping, plant breeders relied heavily on robust mathematical frameworks to separate genetic gain from environmental noise. Jawahar R. Sharma emerged as a pivotal figure who bridged the gap between theoretical statistics and practical field breeding. Jawahar R
Using D² statistics and cluster analysis to measure genetic divergence, helping breeders pick diverse parents for hybridization. 3. Practical Utility What sets Sharma’s approach apart is the step-by-step application and AI-driven phenotyping