Overview

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.

Full Product Details

Author:   R.A. Kempton ,  P.N. Fox ,  M. Cerezo
Publisher:   Chapman and Hall
Imprint:   Chapman and Hall
Edition:   1997 ed.
Volume:   v. 2
Dimensions:   Width: 15.50cm , Height: 1.20cm , Length: 23.50cm
Weight:   1.040kg
ISBN:  

9780412547508

ISBN 10:   0412547503
Pages:   192
Publication Date:   30 November 1996
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

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.

Reviews

...an interesting value to teachers and graduate students concerned with agronomy, plant breeding and selection. - Biochemical Systemics and Ecology

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