This book offers a clear and comprehensible presentation of intricate statistical equations and formulae, permitting the effective analysis of large data collected through field experimentation, and enabling the extraction of accurate conclusions from the information. The text has been organized into seven chapters. The initial two chapters delve into the fundamentals of biometrics and basic statistics, as a solid understanding of the latter is indispensable for the comprehension of the former. The third chapter is dedicated to the assessment of population variability, which can be estimated through various techniques, including D square statistics, Euclidean cluster analysis, and morphoglyph analysis, while simpler statistics like range, standard deviation, variance, and coefficient of variation are also applicable for this purpose. The fourth chapter covers breeding methods, focusing on topics such as selection process, heritability, and selection index. The fifth chapter discusses aids in selection, including important topics like correlation, path analysis, regression analysis, cluster analysis, PCA, and discriminant function analysis. The sixth chapter delves into diallel analysis and generation mean analysis, providing further insights into the subject. The final chapter, on varietal adaptation, encompasses stability analysis of a variety.