Additive Main Effects and Multiplicative Interactions (AMMI) Analysis of Grain Yield in Barley Genotypes Across Environments
Abstract
The study was carried out to analyze grain yield performances of nine varieties and sixteen advanced barley genotypes across eight environments of Southeastern Anatolia, Turkey, between 2003-2007 growing seasons. The experimental layout was randomized complete block design with four replications. Additive main effects and multiplicative interactions analysis (AMMI) revealed that the yield performances of genotypes were under the main environmental effects of genotype by environmental interactions. The first two principal component axes (IPCA 1 and IPCA 2) were significant (P<0.01) and cumulatively contributed to 61.07% of the total genotype by environmental interaction. According to the AMMI biplot analysis, genotype G17 and G21 had the desirable characteristics of high or moderate stability with high grain yield and were thus recommended for commercial release in Turkey and genotypes G7, G9 and the G8 proved to be valuable sources for yield stability in barley breeding programs.
References
- Akcura M, Kaya Y, Taner S & Ayrancı R (2006). Parametric stability analyses for grain yield of durum wheat. Plant Soil Environtment 52(6): 254–261
- Annicchiarico P (2002). Genotype environment interactions challenge and opportunities for plant breeding and cultivar recommendations. FAO Plant production and protection, pp. 174
- Banik B R, Khaldun A B M, Mondal A A, Islam A & Rohman M M (2010). Assessment of genotype-byenvironment interaction using additive main effects and multiplicative interaction model (AMMI) in Maize (Zea mays L.) Hybrids. Academic Journal of Plant Sciences 3(4): 134-139
- Bantayehu M (2009). Analysis and correlation of stability parameters in malting barley. African Crop Science Journal 17(3): 145-153
- Ceccarelli S (1996). Positive interpretation of genotype by environment interactions in relation to sustainability and biodiversity. In: Cooper M, Hammer GL (eds) Plant adaptation and crop improvement. CAB International in association with IRRI and ICRISAT, Wallingford, pp. 467-486
- Crossa J, P N Fox, Pfeifer W H, Rajaram S & Gauch H G (1990). AMMI adjustment for statistical analysis of international wheat yield trial. Theoretical and Applied Genetics 81: 27-37
- DeLacy I H, Basford K E, Cooper M, Bull J K & McLaren C G (1996). Analysis of multi-environment data - An historical perspective .In: M Cooper & G L Hammer (Eds), Plant adaptation and crop improvement, Wallingford, UK, CABI, pp. 39-124
- Ebdon J S & Gauch H G (2002). Additive main effect and multiplicative interaction analysis of national turfgrass performance trials. II cultivar recommendations. Crop Science 42: 497-506
- Gauch H G & Zobel R W (1996). AMMI analyses of yield trials. In Kang MS and Gauch HG (eds.). Genotype by environment interaction. CRC. Boca Raton, Florida, pp. 85-122
- Hanamaratti N G, Salimath P M, Vijayakumar C H M, Ravikumar R L, Kajjidonı S T & Chetti M B (2009). Genotypic stability of superior near isogenic introgression lines for productivity in upland rice. Karnataka Journal of Agricultural Sciences 22(4): 736-740
- Ilker E, Tonk F A, Çaylak Ö, Tosun M & Özmen İ (2009). Assessment of genotype x environment interactions 344
Arpa Genotiplerinde Çevreler Üzerinden Tane Verimlerinin Eklemeli Ana Etkiler ve Çarpımsal İnteraksiyonlar Analizi
Abstract
Bu çalışma, 16 ileri hat ve 9 arpa çeşidinin 8 çevrede verim performanslarını belirlemek amacıyla 2003-2007 yılları arasında yürütülmüştür. Denemeler, tesadüf blokları deneme deseninde 4 tekerrürlü olarak kurulmuştur. Eklemeli ana etkiler ve çarpımsal interaksiyonlar analizi (AMMI), genotip × çevre interaksiyonunda genotiplerin verim performansları üzerine çevresel etkilerin baskın olduğunu göstermiştir. İlk iki ana bileşen ekseni (PCA 1 ve PCA 2), istatistiki olarak önemli (P<0.01) bulunmuş ve genotip × çevre interaksiyonunun % 61.07’sini açıklamıştır. AMMI modeli esas alınarak yapılan biplot analizlerinden elde edilen bulgular: (1) orta veya yüksek stabilite ile birlikte yüksek tane verimine sahip olmaları sebebiyle G17 ve G21 genotipleri Türkiye’de tescile teklif edilmiştir; (2) G7, G9 ve G8 genotiplerinin verim stabilitesi bakımından arpa ıslah programları için önemli bir kaynak oldukları tespit edilmiştir.
Keywords
References
- Akcura M, Kaya Y, Taner S & Ayrancı R (2006). Parametric stability analyses for grain yield of durum wheat. Plant Soil Environtment 52(6): 254–261
- Annicchiarico P (2002). Genotype environment interactions challenge and opportunities for plant breeding and cultivar recommendations. FAO Plant production and protection, pp. 174
- Banik B R, Khaldun A B M, Mondal A A, Islam A & Rohman M M (2010). Assessment of genotype-byenvironment interaction using additive main effects and multiplicative interaction model (AMMI) in Maize (Zea mays L.) Hybrids. Academic Journal of Plant Sciences 3(4): 134-139
- Bantayehu M (2009). Analysis and correlation of stability parameters in malting barley. African Crop Science Journal 17(3): 145-153
- Ceccarelli S (1996). Positive interpretation of genotype by environment interactions in relation to sustainability and biodiversity. In: Cooper M, Hammer GL (eds) Plant adaptation and crop improvement. CAB International in association with IRRI and ICRISAT, Wallingford, pp. 467-486
- Crossa J, P N Fox, Pfeifer W H, Rajaram S & Gauch H G (1990). AMMI adjustment for statistical analysis of international wheat yield trial. Theoretical and Applied Genetics 81: 27-37
- DeLacy I H, Basford K E, Cooper M, Bull J K & McLaren C G (1996). Analysis of multi-environment data - An historical perspective .In: M Cooper & G L Hammer (Eds), Plant adaptation and crop improvement, Wallingford, UK, CABI, pp. 39-124
- Ebdon J S & Gauch H G (2002). Additive main effect and multiplicative interaction analysis of national turfgrass performance trials. II cultivar recommendations. Crop Science 42: 497-506
- Gauch H G & Zobel R W (1996). AMMI analyses of yield trials. In Kang MS and Gauch HG (eds.). Genotype by environment interaction. CRC. Boca Raton, Florida, pp. 85-122
- Hanamaratti N G, Salimath P M, Vijayakumar C H M, Ravikumar R L, Kajjidonı S T & Chetti M B (2009). Genotypic stability of superior near isogenic introgression lines for productivity in upland rice. Karnataka Journal of Agricultural Sciences 22(4): 736-740
- Ilker E, Tonk F A, Çaylak Ö, Tosun M & Özmen İ (2009). Assessment of genotype x environment interactions 344
Details
| Primary Language | English |
|---|---|
| Journal Section | Makaleler |
| Authors | |
| Publication Date | October 16, 2014 |
| Submission Date | February 14, 2013 |
| Published in Issue | Year 2014 Volume: 20 Issue: 4 |
Cited By
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Bazı Ekmeklik Buğday Çeşitlerinde Verim Stabilitesinin Biplot ve AMMI Analiz Yöntemleri ile Değerlendirilmesi
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Journal of Agricultural Sciences is published open access journal. All articles are published under the terms of the Creative Commons Attribution License (CC BY).