Statistical And Biometrical Techniques In Plant Breeding By Jawahar R Sharmapdf _best_
đź“Ť : Includes solved examples to help users draw valid inferences without deep prior statistical training.
The central goal of this book is to demystify the "bewildering complexities of biometrical notations" for biologists and geneticists. The book explains the "concept and genesis" behind the models rather than just their application. It is structured around five major parts, covering: đź“Ť : Includes solved examples to help users
Analyzes how different plant varieties perform across various locations, seasons, and soil types. It is structured around five major parts, covering:
Statistical and biometrical techniques are essential to rigorous plant-breeding research. Sharma’s treatment synthesizes experimental design, classical ANOVA approaches, multivariate methods, and modern mixed-model procedures into a practical toolkit for breeders. Applying these methods carefully—choosing appropriate designs, checking assumptions, estimating genetic parameters, and using BLUP/REML where suitable—improves selection accuracy and accelerates breeding gains. estimating genetic parameters
The book receives consistent praise for its practical approach. Readers valued it as a , praising solved practical examples and coverage of the entire biometrical genetics syllabus.
– Explains how to analyze Genotype x Environment interactions and stability parameters to identify robust plant varieties.