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Review of Statistical and Biometrical Techniques in Plant Breeding by Jawahar R. Sharma Statistical and Biometrical Techniques in Plant Breeding
is a highly regarded text-cum-reference book for graduate students and researchers in agricultural sciences. Authored by Dr. Jawahar R. Sharma, a former Director at the Central Institute of Medicinal and Aromatic Plants (CIMAP), the book serves as a bridge for biologists and geneticists who may lack deep mathematical training but need to apply rigorous statistical tools to their research. Key Strengths and Coverage
The book is organized into 25 chapters across five distinct sections, making it a comprehensive "ready-reckoner" for plant breeding data management:
Section 1: Foundations & Field Designs: Covers general biometrical parameters and standard field designs.
Section 2: Multivariate Analysis: Focuses on genetic divergence through models like D2cap D squared statistics. Conclusion In conclusion
Section 3: G x E Interaction: Explores genotype-by-environment stability parameters.
Section 4: Gene Action: Details variance components and the nature of gene action.
Section 5: Selection & Mutation: Analyzes parameters specifically related to mutation experiments and selection response. User & Expert Feedback
Practicality: Reviewers from platforms like Amazon India and Goodreads highlight the inclusion of solved practical examples in each chapter as its most useful feature.
Accessibility: The book is praised for simplifying complex biometrical notations into language easily grasped by those without a heavy statistical background.
Academic Utility: It is widely recommended for students in Indian agricultural universities preparing for research and data analysis. Areas for Improvement
Experts in the Indian Journal of Genetics and Plant Breeding have noted that while the book is extensive, future editions could benefit from more detailed treatments of Discriminant Function for Plant Selection and elaborated examples of skewness and kurtosis in mutation populations. Conclusion In conclusion
Note on PDF Availability: While many academic platforms like ResearchGate host related research papers and slides on biometrical techniques, the full textbook is a copyrighted work published by New Age International and is primarily available in hardcover or paperback. Statistical and Biometrical Techniques in Plant Breeding
Introduction
Plant breeding is a vital aspect of agriculture that involves the development of new crop varieties with desirable traits. The process of plant breeding involves the selection of parents, hybridization, and selection of desirable progeny. Statistical and biometrical techniques play a crucial role in plant breeding as they help in analyzing and interpreting the data obtained from breeding experiments. These techniques enable plant breeders to make informed decisions and predictions about the performance of crop varieties.
Statistical Techniques in Plant Breeding
Statistical techniques are used in plant breeding to analyze the data obtained from experiments and to make inferences about the populations from which the samples were drawn. Some of the common statistical techniques used in plant breeding include:
Biometrical Techniques in Plant Breeding
Biometrical techniques are used in plant breeding to analyze and interpret the data obtained from breeding experiments. Some of the common biometrical techniques used in plant breeding include: Conclusion In conclusion
Application of Statistical and Biometrical Techniques in Plant Breeding
The application of statistical and biometrical techniques in plant breeding is vast. Some of the applications include:
Conclusion
In conclusion, statistical and biometrical techniques play a crucial role in plant breeding. These techniques enable plant breeders to analyze and interpret the data obtained from breeding experiments, to make informed decisions and predictions about the performance of crop varieties, and to develop new crop varieties with desirable traits. The application of statistical and biometrical techniques in plant breeding has led to the development of high-yielding crop varieties, disease-resistant varieties, and varieties that are adapted to specific environments.
References
Sharma, J. R. (2017). Statistical and Biometrical Techniques in Plant Breeding. New Delhi: Kalyan Publishers.
Allard, R. W. (1999). Principles of Plant Breeding. New York: John Wiley & Sons.
Falconer, D. S., & Mackay, T. F. C. (2009). Introduction to Quantitative Genetics. Harlow: Pearson Education.
Gupta, S. K., & Singh, R. K. (2015). Biometrical Techniques in Plant Breeding. New Delhi: Pointer Publishers.