Statistical Methods for Plant Variety Evaluation

Inbunden, Engelska, 1996

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A comprehensive review of modern statistical and trial management techniques for field evaluation of plant varieties, this advanced text focuses on the distinctive goals of plant breeders and the technical problems they face. Theoretical methods are explained clearly and supported by numerous examples and references to available computer software. This book should be of interest to plant scientists working on plant breeding programmes, masters students, researchers and teachers in the plant sciences, plant genetics and biometry.

Produktinformation

Utgivningsdatum1996-11-30
Mått155 x 235 x 17 mm
Vikt481 g
FormatInbunden
SpråkEngelska
SeriePlant Breeding
Antal sidor192
Upplaga1997
FörlagChapman and Hall
ISBN9780412547508

Tillhör följande kategorier

Botanik inom Naturvetenskap och teknik
Växtböcker inom Djur och Natur

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.