A Comprehensive Handbook on Quantitative and Biometrical Genetics in Plant Breeding

This book offers a thorough and detailed guide on interpreting quantitative and biometrical genetics analyses in the field of plant breeding. Designed for M.Sc. and Ph.D. scholars, as well as young researchers, it serves as a crucial resource for understanding complex statistical methods used in plant breeding research. The book covers a wide range of topics including experimental designs, genetic variability, multivariate analysis, stability analysis and mating designs, among others. Each topic is explained with clear, step-by-step instructions, ensuring that even intricate concepts are easy to follow and apply.
With a special emphasis on practical application, the book provides in-depth coverage of methods such as the Completely Randomized Design (CRD), Randomized Block Design (RBD), genetic variability analysis, correlation and path analysis and multivariate approaches like D 2 analysis, cluster analysis and Principal Component Analysis (PCA). The book also delves into stability analysis models like the Eberhart-Russell models, AMMI and GGE biplot analysis, alongside mating designs such as diallel and line × tester analysis. Furthermore, it offers insight into heterosis, inbreeding depression and techniques like the Triple Test Cross and Generation Mean Analysis.
What sets this book apart from existing resources is its unique approach to the interpretation of statistical analyses. While many books focus on theoretical concepts or computational methods, this handbook emphasizes practical, real-world interpretations of genetic data, enabling readers to confidently draw conclusions from their experiments. Each chapter is illustrated with practical examples, offering actionable insights for researchers in the field.
Written by a team of experts with years of experience in genetics, plant breeding and quantitative analysis, this book stands as a comprehensive and indispensable guide for advancing research in plant breeding and genetics.