Thoroughbred pedigree analysis

The International Centre for Advanced Mediterranean Agronomic Studies (CIHEAM), established in 1962, is an intergovernmental organization of four teen countries: Albania, Algeria, Egypt, France, Greece, Italy, Lebanon, Malta, Morocco, Portugal, Spain, Tunisia, Turkey and Yugoslavia. Four institutes (Bari, Italy; Chania, Greece; Montpellier, France and Zaragoza, Spain) provide post-graduate education at the Master of Science level. CIHEAM promotes research networks on Mediterranean agricultural priorities, supports the organization of specialized education in member countries, holds seminars and workshops bringing together technologists and scientists involved in Mediterranean agriculture and regularly produces diverse publications including the series 'Options Mediterraneennes'. Through these activities, CIHEAM promotes North/South dialogue and international co-operation for agricultural development in the Mediterranean region. Plant breeding is, since 1982, one of the fields in which CIHEAM is con ducting a programme of training and promotion of research, through its Mediterranean Agronomic Institute of Zaragoza. The programme includes a one-year advanced specialization course, a series of two-week courses for professionals, and support for collaborative research activities in Mediterranean-relevant species. Many of these activities are organized in col laboration with national and international institutions. The publication in 1993 of Plant Breeding. Principles and Prospects, which ini tiated the Chapman & Hall's Plant Breeding Series, has become an important feature of CIHEAM's plant breeding programme. We are now pleased to add a further volume to that series: the present book, Statistical Methods for Plant Variety Evaluation.

Genetic Data Analysis II details the statistical methodology needed to draw inferences from discrete genetic data. An emphasis is given to permutation tests, and developments in phylogenetic tree construction are reviewed.

Plant Breeding and Cultivar Development features an optimal balance between classical and modern tools and techniques related to plant breeding. Written for a global audience and based on the extensive international experience of the authors, the book features pertinent examples from major and minor world crops. Advanced data analytics (machine learning), phenomics and artificial intelligence are explored in the book's 28 chapters that cover classical and modern plant breeding. By presenting these advancements in specific detail, private and public sector breeding programs will learn about new, effective and efficient implementation. The insights are clear enough that non-plant breeding majoring students will find it useful to learn about the subject, while advanced level students and researchers and practitioners will find practical examples that help them implement their work. Bridges the gap between conventional breeding practices and state-of-the-art technologies Provides real-world case studies of a wide range of plant breeding techniques and practices Combines insights from genetics, genomics, breeding science, statistics, computer science and engineering for crop improvement and cultivar development

This book is the result of a study on demand-led plant variety design for changing markets in Africa, the purpose of which is to identify and share best practices in demand-led plant breeding from private and public sector breeding programmes worldwide. The intended audiences are professionals in plant breeding and related areas, such as seed production, who have interests in developing and disseminating new plant varieties as a way to increase productivity and profitability in crop agriculture, especially in Africa. The volume is also intended for use as a resource book for the education of postgraduate scholars in plant breeding and genetics, and for the continuing professional development of plant breeders. For this purpose, boxes are included in the main sections of each chapter that summarize its educational objectives and present the key messages and questions that are involved; in addition, there is a final box at the end of each chapter that summarizes its overall learning objectives.