Statistical And Biometrical Techniques In Plant Breeding By Jawahar R Sharmapdf New «Best Pick»

Dedicated to statistical parameters used specifically in selection and mutation breeding experiments, such as expected and realized heritability. Key Features

4. Nature of Gene Action and Variance Components (Chapters 11–23) solved problems using modern software (R

It avoids overly dense, abstract proofs. It focuses on how data behaves in real soil, making it highly accessible to scientists without deep statistical backgrounds. and new chapters on genomic selection.

Jawahar R. Sharma Focus Area: Application of statistical methods to genetic improvement of plants. Target Audience: MSc and PhD students in Plant Breeding, Genetics, and Agronomy; Research Scholars; Agricultural Statisticians. New PDF Edition Features: The latest digital release includes updated datasets, solved problems using modern software (R, SAS, SPSS), and new chapters on genomic selection. solved problems using modern software (R