Animal Genetics and Breeding—Volume I: Biostatistics and Computer Applications
By Dr. Kuldeep Kumar Tyagi

Build a strong foundation in statistics and learn to apply it to veterinary and animal science.

Understanding data is essential to interpreting research, evaluating animal performance and drawing meaningful conclusions. This volume brings together the principles of biostatistics and practical computer applications in a clear, structured text for students of veterinary and animal sciences.

Across 20 chapters, the book progresses from the classification and presentation of data to probability, correlation, regression, sampling, hypothesis testing, analysis of variance, experimental design and non-parametric tests. The computer applications section introduces programming languages, database management, Microsoft Office, data analysis using Excel, computer networks, the internet and e-mail.

Examples drawn from veterinary and animal science connect statistical methods with familiar situations, including lactation records, breed surveys and research trials. Step-by-step calculations help readers follow the reasoning behind each method and relate manual calculations to spreadsheet-based analysis.

Key features

- Subject-relevant worked examples** that connect statistical concepts with veterinary and animal science.
- Chapter roadmaps and learning objectives** to guide systematic study.
- “Points to Remember” and “Exam Focus” boxes** for focused revision.
- Chapter summaries and self-assessment exercises**, including long-answer, short-answer and objective questions with answer keys.
- Practical coverage of Excel-based data analysis** and essential computer skills.
- Statistical tables, a formula quick reference and a subject index** for convenient consultation.

Written for undergraduate and postgraduate students, this volume also supports preparation for university examinations and competitive examinations such as **ICAR JRF/SRF, ICAR-NET, ASRB NET, and state veterinary and animal husbandry recruitment tests**.

A useful companion for classroom learning, independent study and revision, this book helps readers move from understanding statistical concepts to applying them with confidence.