Buch, Englisch, 192 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1040 g
Reihe: Plant Breeding
Buch, Englisch, 192 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 1040 g
Reihe: Plant Breeding
ISBN: 978-0-412-54750-8
Verlag: Springer Netherlands
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1 Introduction.- 1.1 Change and challenges.- 1.2 Managing the information.- 1.3 Statistical design of the selection programme.- 1.4 Statistical models and prediction.- 1.5 Impact of genotype by environment interaction.- 1.6 Summary.- 1.7 Nomenclature.- 2 Field plot technique.- 2.1 Introduction.- 2.2 Terminology.- 2.3 Within-location variation.- 2.4 Inter-plot interference.- 2.5 The plot.- 2.6 Replication.- 2.7 Trial management.- 2.8 Trial layout.- 2.9 Data.- 2.10 Data collection.- 2.11 Data analysis.- 3 Data management and validation.- 3.1 Introduction.- 3.2 Data management.- 3.3 Validation of trial data.- 4 Design of plant breeding trials.- 4.1 Introduction.- 4.2 Experimental design concepts and model assumptions.- 4.3 Plots, replication, randomization, covariance.- 4.4 Blocking - control and adjustment.- 4.5 The construction of incomplete block designs.- 4.6 Precision.- 4.7 Multiple levels of information.- 4.8 Row and column designs.- 4.9 Trial designs for spatial analysis.- 4.10 Multilocation experiments.- 4.11 Additional factors.- 5 Spatial analysis.- 5.1 Why spatial analysis?.- 5.2 Spatial autocorrelation.- 5.3 Sample spatial correlations for uniformity trials.- 5.4 Models for the analysis of field trial data.- 5.5 Stationarity.- 5.6 One-dimensional spatial analysis.- 5.7 Estimation.- 5.8 Assessing model adequacy.- 5.9 Extension to two-dimensional spatial analysis.- 5.10 Example.- 5.11 Conclusion.- 6 Unreplicated trials.- 6.1 Introduction.- 6.2 Local control using check plots.- 6.3 Local control from blocking test plots.- 6.4 Local control by spatial analysis.- 6.5 Conclusions.- 7 Interference between plots.- 7.1 Introduction.- 7.2 Reducing interference through design.- 7.3 Modelling interference.- 7.4 Adjusting for interference.- 7.5 Summary.- 8 Multi-environmenttesting and genotype x environment interaction.- 8.1 What is genotype x environment interaction?.- 8.2 Implications for breeding programmes.- 8.3 Univariate data analysis and exploration of genotype performance.- 8.4 Multivariate exploration of relationships among environments and among genotypes.- 8.5 Information extraction versus computational complexity.- 9 Analysis of series of variety trials.- 9.1 Introduction.- 9.2 Notation and terminology.- 9.3 FITCON and REML.- 9.4 Analysis of Immer’s balanced series.- 9.5 Method of direct differences.- 9.6 Incomplete tables and the adjustment of variety means.- 9.7 An incomplete three-way table.- 9.8 Other models.- 10 Resource allocation for selection systems.- 10.1 Introduction.- 10.2 Variation in trials system.- 10.3 Precision of genotype means.- 10.4 Criteria for assessing the efficiency of the programme.- 10.5 Other issues in resource allocation.- 10.6 Conclusions.- References.
