Titlebook: Statistical Methods for Plant Variety Evaluation; R. A. Kempton,P. N. Fox,M. Cerezo Book 1997 Chapman & Hall 1997 Genotyp.breeding.environ

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书目名称Statistical Methods for Plant Variety Evaluation影响因子(影响力)




书目名称Statistical Methods for Plant Variety Evaluation影响因子(影响力)学科排名




书目名称Statistical Methods for Plant Variety Evaluation网络公开度




书目名称Statistical Methods for Plant Variety Evaluation网络公开度学科排名




书目名称Statistical Methods for Plant Variety Evaluation被引频次




书目名称Statistical Methods for Plant Variety Evaluation被引频次学科排名




书目名称Statistical Methods for Plant Variety Evaluation年度引用




书目名称Statistical Methods for Plant Variety Evaluation年度引用学科排名




书目名称Statistical Methods for Plant Variety Evaluation读者反馈




书目名称Statistical Methods for Plant Variety Evaluation读者反馈学科排名

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Introduction,ales in the 1960s and 1970s. In the developing world, Baum (1986) estimated that the introduction of new semi-dwarf wheat varieties raised average yields by more than 500 kg/ha (i.e. between 25% and 50%). The International Maize and Wheat Improvement Centre (CIMMYT, 1993) estimates that research on

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Book 1997l 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,

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gricultural 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, 978-94-010-7172-7978-94-009-1503-9

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Book 1997n 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 promote

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Data management and validation,se. These changing relationships in costs of research components in crop improvement demand better use of collected data than in the past. Increased communications facilities support data transfer and sharing among scientists. However, unsysternatically arranged data cannot be profitably shared.

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,Multi-environment testing and genotype × environment interaction,nd for characterizing environments are presented, focusing mostly upon analyses of two-way tables of genotype by environment data. Genotype estimates for different environments in the same GE table may be derived using different methods of trial design and analysis.

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