: 4.5/5
Jawahar R. Sharma’s contribution to this field lies in his ability to simplify "bewildering complexities" for the biologist. One of the most significant challenges a breeder faces is the G x E interaction. A high-yielding rice variety in a controlled research station may fail in a farmer’s rain-fed field. Biometrical stability parameters allow scientists to identify "stable" varieties that maintain performance across diverse environments, reducing the risk for the end-user. A high-yielding rice variety in a controlled research
The initial section establishes the baseline for data collection and experimental accuracy. It covers general statistical and biometrical parameters alongside essential field designs (Chapters 1–4). This foundation ensures that researchers can manage the inherent variability in agricultural trials and generate reliable data for subsequent analysis. 2. Genetic Divergence and Multivariate Analysis G x E interaction
: A simpler alternative to diallel for screening many lines against a few testers. Generation Mean Analysis tables of contents
Sharma, J. R. (2019). Statistical and Biometrical Techniques in Plant Breeding. New Delhi: Krishna Mehra.
: Biometrics involves the application of statistical methods to biological data. In plant breeding, it's used to analyze genetic and phenotypic data, helping breeders to identify superior genotypes.
"Statistical and Biometrical Techniques in Plant Breeding" by Jawahar R. Sharma is an academic resource covering field designs, genetic divergence, G x E interaction, and gene action across 25 chapters. While full, free PDF copies are not officially available, previews, tables of contents, and summaries can be accessed through Google Books, the Indian Journal of Genetics and Plant Breeding