Genotype-by-Location Two-Way Data Analysis
Analysis of a genotype‐by‐location two‐way table for a key trait has been the most important topic of variety trial data analysis and has commonly been referred to as genotype‐by‐environment data analysis or multi‐environment trial (MET) data analysis. Although the focus of variety trial data analys...
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description | Analysis of a genotype‐by‐location two‐way table for a key trait has been the most important topic of variety trial data analysis and has commonly been referred to as genotype‐by‐environment data analysis or multi‐environment trial (MET) data analysis. Although the focus of variety trial data analysis is on economically important traits, traits with high heritability, with or without important economic values, are useful for detecting human errors. Genotype‐by‐location data analysis includes three main aspects: mega‐environment analysis, test location evaluation, and genotype evaluation. All these aspects can be graphically addressed using GGE biplot analysis, supplemented with numerical outputs. The use of different biplot forms in mega‐environment analysis, test location evaluation, and genotype evaluation are described in this chapter. Summary statistics of grain yield at individual locations are presented in the chapter. |
doi_str_mv | 10.1002/9781118688571.ch8 |
format | Book Chapter |
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Although the focus of variety trial data analysis is on economically important traits, traits with high heritability, with or without important economic values, are useful for detecting human errors. Genotype‐by‐location data analysis includes three main aspects: mega‐environment analysis, test location evaluation, and genotype evaluation. All these aspects can be graphically addressed using GGE biplot analysis, supplemented with numerical outputs. The use of different biplot forms in mega‐environment analysis, test location evaluation, and genotype evaluation are described in this chapter. Summary statistics of grain yield at individual locations are presented in the chapter.</description><identifier>ISBN: 1118688643</identifier><identifier>ISBN: 9781118688649</identifier><identifier>EISBN: 1118688554</identifier><identifier>EISBN: 9781118688557</identifier><identifier>EISBN: 1118688562</identifier><identifier>EISBN: 9781118688564</identifier><identifier>EISBN: 1118688570</identifier><identifier>EISBN: 9781118688571</identifier><identifier>DOI: 10.1002/9781118688571.ch8</identifier><identifier>OCLC: 869066628</identifier><identifier>LCCallNum: SB123.45 .Y36 2014</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Incorporated</publisher><subject>AGRICULTURE & FARMING ; BIOLOGY, LIFE SCIENCES ; biplot analysis ; Crop husbandry ; genotype evaluation ; genotype‐by‐location two‐way data analysis ; GGE biplot analysis ; highly heritable traits ; human errors ; individual trials ; mega‐environment analysis ; test location evaluation</subject><ispartof>Crop Variety Trials, 2014, p.133-162</ispartof><rights>This edition first published 2014 © 2014 John Wiley & Sons, Inc.</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://ebookcentral.proquest.com/covers/1650860-l.jpg</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002/9781118688571.ch8$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002/9781118688571.ch8$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>779,780,784,793,4321,24779,27923,52530,52678</link.rule.ids></links><search><contributor>Yan, Weikai</contributor><creatorcontrib>Yan, Weikai</creatorcontrib><title>Genotype-by-Location Two-Way Data Analysis</title><title>Crop Variety Trials</title><description>Analysis of a genotype‐by‐location two‐way table for a key trait has been the most important topic of variety trial data analysis and has commonly been referred to as genotype‐by‐environment data analysis or multi‐environment trial (MET) data analysis. 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Summary statistics of grain yield at individual locations are presented in the chapter.</description><subject>AGRICULTURE & FARMING</subject><subject>BIOLOGY, LIFE SCIENCES</subject><subject>biplot analysis</subject><subject>Crop husbandry</subject><subject>genotype evaluation</subject><subject>genotype‐by‐location two‐way data analysis</subject><subject>GGE biplot analysis</subject><subject>highly heritable traits</subject><subject>human errors</subject><subject>individual trials</subject><subject>mega‐environment analysis</subject><subject>test location evaluation</subject><isbn>1118688643</isbn><isbn>9781118688649</isbn><isbn>1118688554</isbn><isbn>9781118688557</isbn><isbn>1118688562</isbn><isbn>9781118688564</isbn><isbn>1118688570</isbn><isbn>9781118688571</isbn><fulltext>true</fulltext><rsrctype>book_chapter</rsrctype><creationdate>2014</creationdate><recordtype>book_chapter</recordtype><recordid>eNqNkE1LAzEQhiOiqLU_wFvPQmpm87nHUrUKBS8VjyFfS1eXzdqslPXXm1IVFA8ehmGG93mHdxC6ADIFQoqrUioAUEIpLmHq1uoAnX0tODv8HgSjx-hUiZIIIQp1gsYpPRNCACiUXJ6iy0VoYz90AdsBL6MzfR3byWob8ZMZJtemN5NZa5oh1ekcHVWmSWH82Ufo8fZmNb_Dy4fF_Xy2xF3BWYWFp_lSVVTC2VC6QE0lwTLDvSPKK1uWRDpmZGAeXGF9MEpQAY5QbwmXBR0hvPfd1k0YdLAxviT9I7F-rzudU-vOV1kPf-iB6N2nfnE7Jldm6J7pNvH1LaR-j7nQ9hvTuLXp-rBJmhEqBVeaZzO5o9h_KBCcKJERJTQwSj8AGQB8fQ</recordid><startdate>2014</startdate><enddate>2014</enddate><creator>Yan, Weikai</creator><general>John Wiley & Sons, Incorporated</general><general>Wiley</general><general>John Wiley & Sons, Inc</general><scope>FFUUA</scope></search><sort><creationdate>2014</creationdate><title>Genotype-by-Location Two-Way Data Analysis</title><author>Yan, Weikai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p254f-6d3628f2f6cbe9ce3af71b4a5dc08d8b9907c4a7e4d1c2bdea86361c03db05723</frbrgroupid><rsrctype>book_chapters</rsrctype><prefilter>book_chapters</prefilter><language>eng</language><creationdate>2014</creationdate><topic>AGRICULTURE & FARMING</topic><topic>BIOLOGY, LIFE SCIENCES</topic><topic>biplot analysis</topic><topic>Crop husbandry</topic><topic>genotype evaluation</topic><topic>genotype‐by‐location two‐way data analysis</topic><topic>GGE biplot analysis</topic><topic>highly heritable traits</topic><topic>human errors</topic><topic>individual trials</topic><topic>mega‐environment analysis</topic><topic>test location evaluation</topic><toplevel>online_resources</toplevel><creatorcontrib>Yan, Weikai</creatorcontrib><collection>ProQuest Ebook Central - Book Chapters - Demo use only</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yan, Weikai</au><au>Yan, Weikai</au><format>book</format><genre>bookitem</genre><ristype>CHAP</ristype><atitle>Genotype-by-Location Two-Way Data Analysis</atitle><btitle>Crop Variety Trials</btitle><date>2014</date><risdate>2014</risdate><spage>133</spage><epage>162</epage><pages>133-162</pages><isbn>1118688643</isbn><isbn>9781118688649</isbn><eisbn>1118688554</eisbn><eisbn>9781118688557</eisbn><eisbn>1118688562</eisbn><eisbn>9781118688564</eisbn><eisbn>1118688570</eisbn><eisbn>9781118688571</eisbn><abstract>Analysis of a genotype‐by‐location two‐way table for a key trait has been the most important topic of variety trial data analysis and has commonly been referred to as genotype‐by‐environment data analysis or multi‐environment trial (MET) data analysis. 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subjects | AGRICULTURE & FARMING BIOLOGY, LIFE SCIENCES biplot analysis Crop husbandry genotype evaluation genotype‐by‐location two‐way data analysis GGE biplot analysis highly heritable traits human errors individual trials mega‐environment analysis test location evaluation |
title | Genotype-by-Location Two-Way Data Analysis |
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