Overview

The book provides a thorough examination of complex statistical equations and calculations, which are presented in a manner that is both comprehensive and accessible. This enables researchers to effectively analyze large data sets gathered through field experiments and draw accurate conclusions from the information obtained. The book is divided into seven chapters, with the first two chapters focusing on the development of biometrics and basic statistics, which are critical for a comprehensive understanding of biometrics. The third chapter examines various methods for assessing variability in a population, including D square statistics, Euclidean cluster analysis, and metroglyph analysis, while range, standard deviation, variance, and coefficient of variation are simpler statistics that are also discussed. The fourth chapter delves into breeding methods, including selection processes, heritability, and selection indices. The fifth chapter delves into the aids in selection, including important topics like correlation, path analysis, regression analysis, cluster analysis, principal component analysis, and discriminant function analysis. The sixth chapter focuses on diallel analysis and generation mean analysis, while the seventh chapter examines varietal adaptation, including stability analysis of a variety.

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Nirmal Sharma, Assistant Professor, Division of Fruit Science, Sher-e-Kashmir University of Agricultural Sciences & Technology of Jammu, Jammu & Kashmir, India. V.K.Wali, Professor and Head, Division of Fruit Science, Sher-e-Kashmir University of Agricultural Sciences & Technology of Jammu, Jammu & Kashmir, India. Parshant Bakshi, Associate Professor: Division of Fruit Science, Sher-e-Kashmir University of Agricultural Sciences & Technology of Jammu, Jammu & Kashmir, India.

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