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Data Acquisition and Analysis in Animal Breeding
Data Acquisition and Analysis in Animal Breeding
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Author : R. Venkataramanan
Pages : 226
Year of Publication : 2024
Language : English
Binding : Hardback
The book "Data Acquisition and Analysis in Animal Breeding" is written for students, researchers, and professionals in the animal breeding field. The content, divided into 16 chapters, covers various aspects of data collection, storage, processing, estimation, inference, and application in animal breeding. In addition, the annexure provides information on matrix operations and register formats. This book serves as a guide for users on how to approach a data-driven animal breeding program. The early chapters explain data acquisition details, such as record maintenance, data computerization, economic trait calculation, and database management systems. The book also includes a chapter on basic statistics to understand the principles of experimental design, descriptive analysis, probability distribution, and data types. The book covers various methods of animal breeding data analysis, including basic theory, assumptions, and applicability. Additionally, the book has a unique chapter on meta-analysis in animal breeding, which provides guidance on obtaining powerful genetic parameter estimates from existing studies. The book also explains the use of specific software and includes an exclusive chapter on animal breeding software. The book will be especially useful for postgraduate and Ph.D. students in Animal Genetics and Breeding, particularly for courses on Biometrical Techniques and Recent Trends in Animal Breeding.
Pages : 226
Year of Publication : 2024
Language : English
Binding : Hardback
The book "Data Acquisition and Analysis in Animal Breeding" is written for students, researchers, and professionals in the animal breeding field. The content, divided into 16 chapters, covers various aspects of data collection, storage, processing, estimation, inference, and application in animal breeding. In addition, the annexure provides information on matrix operations and register formats. This book serves as a guide for users on how to approach a data-driven animal breeding program. The early chapters explain data acquisition details, such as record maintenance, data computerization, economic trait calculation, and database management systems. The book also includes a chapter on basic statistics to understand the principles of experimental design, descriptive analysis, probability distribution, and data types. The book covers various methods of animal breeding data analysis, including basic theory, assumptions, and applicability. Additionally, the book has a unique chapter on meta-analysis in animal breeding, which provides guidance on obtaining powerful genetic parameter estimates from existing studies. The book also explains the use of specific software and includes an exclusive chapter on animal breeding software. The book will be especially useful for postgraduate and Ph.D. students in Animal Genetics and Breeding, particularly for courses on Biometrical Techniques and Recent Trends in Animal Breeding.
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