Use of Principal Coordinate Analysis for Measuring GE Interactions in Rain-Fed Durum Wheat Genotypes
Genotype × environment interactions complicate selection of superior genotypes for narrow and wide adaptation. Multienvironment yield trials of twenty durum wheat genotypes were conducted at five locations of Iran (Gachsaran, Gonbad, Moghan, Ilam and Khorram abad) over four years (2009-2013). Combin...
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| Language: | English |
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Ankara University
2019-03-01
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| Series: | Journal of Agricultural Sciences |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/353339 |
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| author | Rahmatollah Karimizadeh Rahim Chinipardaz Omid Sofalian Abdolali Ghaffari Kamal Shahbazi Tahmasb Hosseinpour Hassan Ghojog Mohammad Armion Ali Asghari |
| author_facet | Rahmatollah Karimizadeh Rahim Chinipardaz Omid Sofalian Abdolali Ghaffari Kamal Shahbazi Tahmasb Hosseinpour Hassan Ghojog Mohammad Armion Ali Asghari |
| author_sort | Rahmatollah Karimizadeh |
| collection | DOAJ |
| description | Genotype × environment interactions complicate selection of superior genotypes for narrow and wide adaptation. Multienvironment yield trials of twenty durum wheat genotypes were conducted at five locations of Iran (Gachsaran, Gonbad, Moghan, Ilam and Khorram abad) over four years (2009-2013). Combined ANOVA of yield data of the twenty environments (year/location combined) revealed highly significant differences among genotypes and environments as well as significant genotype-environment interaction indicated differential performance of genotypes over test environments. The GE interaction was examined using multivariate analysis technique as principal coordinate analysis (PCOA). According to grand means and total mean yield, test environments were grouped into two main groups as high mean yield (H) and low mean yield (L). There were eleven H test environments and nine L test environments which analyzed in the sequential cycles. For each cycle, both scatter point diagram and minimum spanning tree plot were drawn. The identified most stable genotypes with dynamic stability concept and based on the minimum spanning tree plots and centroid distances were G12 (3342 kg ha-1), G10 (3470.3 kg ha-1), G5 (3203.0 kg ha-1), and G1 (3263.5 kg ha-1), and therefore could be recommended for unfavorable or poor conditions. Genotypes G10 (3470.3 kg ha-1) and G9 (3404.2 kg ha-1) were located several times in the vertex positions of high cycles according to the principal coordinates analysis (PCOA) and therefore could be recommended for favorable or rich conditions. Finally, the results of principal coordinates analysis in general confirmed the breeding value of the genotypes, obtained on the basis of the yield stability evaluation. |
| format | Article |
| id | doaj-art-df052233cea74c2995cb9de454294686 |
| institution | Kabale University |
| issn | 1300-7580 2148-9297 |
| language | English |
| publishDate | 2019-03-01 |
| publisher | Ankara University |
| record_format | Article |
| series | Journal of Agricultural Sciences |
| spelling | doaj-art-df052233cea74c2995cb9de4542946862025-08-20T03:24:56ZengAnkara UniversityJournal of Agricultural Sciences1300-75802148-92972019-03-01251384610.15832/ankutbd.53899345Use of Principal Coordinate Analysis for Measuring GE Interactions in Rain-Fed Durum Wheat GenotypesRahmatollah KarimizadehRahim ChinipardazOmid SofalianAbdolali GhaffariKamal ShahbaziTahmasb HosseinpourHassan GhojogMohammad ArmionAli Asghari0Department of Agronomy and Plant Breeding, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, IranGenotype × environment interactions complicate selection of superior genotypes for narrow and wide adaptation. Multienvironment yield trials of twenty durum wheat genotypes were conducted at five locations of Iran (Gachsaran, Gonbad, Moghan, Ilam and Khorram abad) over four years (2009-2013). Combined ANOVA of yield data of the twenty environments (year/location combined) revealed highly significant differences among genotypes and environments as well as significant genotype-environment interaction indicated differential performance of genotypes over test environments. The GE interaction was examined using multivariate analysis technique as principal coordinate analysis (PCOA). According to grand means and total mean yield, test environments were grouped into two main groups as high mean yield (H) and low mean yield (L). There were eleven H test environments and nine L test environments which analyzed in the sequential cycles. For each cycle, both scatter point diagram and minimum spanning tree plot were drawn. The identified most stable genotypes with dynamic stability concept and based on the minimum spanning tree plots and centroid distances were G12 (3342 kg ha-1), G10 (3470.3 kg ha-1), G5 (3203.0 kg ha-1), and G1 (3263.5 kg ha-1), and therefore could be recommended for unfavorable or poor conditions. Genotypes G10 (3470.3 kg ha-1) and G9 (3404.2 kg ha-1) were located several times in the vertex positions of high cycles according to the principal coordinates analysis (PCOA) and therefore could be recommended for favorable or rich conditions. Finally, the results of principal coordinates analysis in general confirmed the breeding value of the genotypes, obtained on the basis of the yield stability evaluation.https://dergipark.org.tr/tr/download/article-file/353339adaptationeenvironmentinteractionggenotypestability |
| spellingShingle | Rahmatollah Karimizadeh Rahim Chinipardaz Omid Sofalian Abdolali Ghaffari Kamal Shahbazi Tahmasb Hosseinpour Hassan Ghojog Mohammad Armion Ali Asghari Use of Principal Coordinate Analysis for Measuring GE Interactions in Rain-Fed Durum Wheat Genotypes Journal of Agricultural Sciences adaptation eenvironment interaction ggenotype stability |
| title | Use of Principal Coordinate Analysis for Measuring GE Interactions in Rain-Fed Durum Wheat Genotypes |
| title_full | Use of Principal Coordinate Analysis for Measuring GE Interactions in Rain-Fed Durum Wheat Genotypes |
| title_fullStr | Use of Principal Coordinate Analysis for Measuring GE Interactions in Rain-Fed Durum Wheat Genotypes |
| title_full_unstemmed | Use of Principal Coordinate Analysis for Measuring GE Interactions in Rain-Fed Durum Wheat Genotypes |
| title_short | Use of Principal Coordinate Analysis for Measuring GE Interactions in Rain-Fed Durum Wheat Genotypes |
| title_sort | use of principal coordinate analysis for measuring ge interactions in rain fed durum wheat genotypes |
| topic | adaptation eenvironment interaction ggenotype stability |
| url | https://dergipark.org.tr/tr/download/article-file/353339 |
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