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Crop variety trials : data management and analysis / Weikai Yan.

Ebook Central Academic Complete Available online

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Format:
Book
Author/Creator:
Yan, Weikai, author.
Language:
English
Subjects (All):
Plant varieties--Testing--Databases.
Plant varieties.
Crops--Testing--Databases.
Crops.
Physical Description:
1 online resource (361 p.)
Edition:
1st ed.
Place of Publication:
Chichester, England : Wiley-Blackwell, 2014.
Language Note:
English
Summary:
Variety trials are an essential step in crop breeding and production. These trials are a significant investment in time and resources and inform numerous decisions from cultivar development to end-use. Crop Variety Trials: Methods and Analysis is a practical volume that provides valuable theoretical foundations as well as a guide to step-by-step implementation of effective trial methods and analysis in determining the best varieties and cultivars. Crop Variety Trials is divided into two sections. The first section provides the reader with a sound theoretical framework
Contents:
Theoretical framework for crop variety trials
An overview of variety trial data and analyses
Introduction to biplot analysis
Data centering for biplot analysis
Data scaling and weighting for GGE biplot analysis
Frequently asked questions about biplot analysis
Single trial data analysis
Genotype by location two-way data analysis
Genotype by trait data analysis and decision making
Trait association by environment two-way table analysis
Location by trait two-way data analysis
Mega-environment analysis based on multi-year data
Test location evaluation based on multi-year data
Genotype evaluation based on multi-year data
Building and utilizing a relational database for crop variety trial data
Experimental design for variety trials and breeding nurseries
Modules and functions in GGEbiplot.
Notes:
Description based upon print version of record.
Includes bibliographical references and index.
Description based on print version record.
ISBN:
9781118688564
1118688562
9781118688571
1118688570
9781118688557
1118688554
OCLC:
874966897

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