Additive main effects and multiplicative interactions (AMMI) analysis of grain yield in barley genotypes across environments
Bu çalışma, 16 ileri hat ve 9 arpa çeşidinin 8 çevrede verim performanslarını belirlemek amacıyla 2003-2007 yıllarıarasında yürütülmüştür. Denemeler, tesadüf blokları deneme deseninde 4 tekerrürlü olarak kurulmuştur. Eklemeli anaetkiler ve çarpımsal interaksiyonlar analizi (AMMI), genotip × çevre interaksiyonunda genotiplerin verim performanslarıüzerine çevresel etkilerin baskın olduğunu göstermiştir. İlk iki ana bileşen ekseni (PCA 1 ve PCA 2), istatistiki olarakönemli (P
Arpa genotiplerinde çevreler üzerinden tane verimlerinin eklemeli ana etkiler ve çarpımsal interaksiyonlar analizi
The study was carried out to analyze grain yield performances of nine varieties and sixteen advanced barley genotypesacross eight environments of Southeastern Anatolia, Turkey, between 2003-2007 growing seasons. The experimentallayout was randomized complete block design with four replications. Additive main effects and multiplicative interactionsanalysis (AMMI) revealed that the yield performances of genotypes were under the main environmental effects ofgenotype by environmental interactions. The frst two principal component axes (IPCA 1 and IPCA 2) were signifcant(P
___
- Akcura M, Kaya Y, Taner S & Ayrancı R (2006). Parametric stability analyses for grain yield of durum wheat. Plant Soil Environtment 52 (6): 254261
- 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-by- environment 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 for grain yield in maize hybrids using AMMI and gge biplot analyses. Turkish Journal of Field Crops 14 (2): 123135
- Kaya Y, Palta Ç & Taner S (2002). Additive main effects and multiplicative interactions analysis of yield performances in bread wheat genotypes across environments. Turk Journal of Agricultural Forestry 26 : 275-279
- Mahalingam L, Mahendran S, Chandra B R & Atlin G (2006). AMMI Analysis for stability of grain yield in rice (Oryza sativa L ). International Journal of Botany 2 (2): 104-106
- Mekonnen Z & Mohammed H (2010). Study on genotype x environment interaction of oil content in sesame (Sesamum indicum L.) World Journal of Fungal and Plant Biology 1 (1): 15-20
- Muhe K & Assefa A (2010). Genotypes × environment interaction in bread wheat (Triticum aestivum L.) cultivar development in Ethiopia. International Research Journal of Plant Science 2 (10): 317-322
- Öktem A, Engin A & Çölkesen M (2004). Arpada (Hordeum vulgare L.) genotip x çevre interaksiyonları ve stabilite analizi. Tarım Bilimleri Dergisi-Journal of Agricultural Sciences 10 (1): 31-37
- Özcan H, Aydın, N & Bayramoğlu H O (2005). Ekmeklik buğdayda verim stabilitesi ve stabilite parametreleri arasındaki korelasyon. Tarım Bilimleri Dergisi- Journal of Agricultural Sciences 11 (1): 21-25
- Purchase J L (1997). Parametric analysis to describe G×E interaction and yield stability in winter wheat. PhD. Thesis, Department of Agronomy, Faculty of Agriculture, University of the Orange Free State, Bloemfontein, South Africa
- Rodriguez M, Rau D, Papa R & Attene G (2007). Genotype by environment interactions in barley (Hordeum vulgare L.): different responses of landraces, recombinant in bred lines and varieties to Mediterranean environment. Euphytica , DOI10.1007/ s10681-007-9635-8
- Sadeghi S M, Samizadeh H, Amiri E & Ashouri M (2011). Additive main effects and multiplicative interactions (AMMI) analysis of dry leaf yield in tobacco hybrids across environments. African Journal of Biotechnology 10 (21): 4358-4364
- SAP (2010). Statistics of agricultural production From: http://www.tarimsal.com/tarim_istatistikleri.htm Vargas M & Crossa J (2000). The AMMI analysis and graphing the biplot. Biometrics and Statistics Unit, CIMMYT
- Voltas J, Van Eeuwijk F A, Igartua E, Garciadel Moral L.F, Molina Cano J L & Romagosa I (2002). Genotype by environment interaction and adaptation in barley breeding: basic concepts and methods of analysis. In: Slafer GA, Molina-Cano JL, Savin R, Araus JL, Romagosa I (eds) Barley science: recent advances from molecular biology to agronomy of yield and quality. New York, Food Product Press, ISBN1- 56022-909-8
- Wieslaw M.S, Gacekb E, Paderewski J, Gozdowski D & Drzazga T (2011). Adaptive yield response of winter wheat cultivars across environments in Poland using combined AMMI and cluster analyses. International Journal of Plant Production 5 (3): 1735-8043
- Wallace D H, Youstone K S, Baudoin J P, Beaver J, Coyne D P, White J W & Zobel R W (1995). Photoperiod × temperature interaction effects on the days to fowering of beans (Phaseolus vulgaris L.). In: Handbook of Plant and Crop Physiology. Mohammed Pessaraki (Ed.), pp. 863-891
- Yan W, Cornelius P L, Crossa J & Hunt L A (2001). Two types of GGE biplots far analyzing multi-environment trial data. Crop Science 41 : 656-663
- Yan, W & Rajcan I (2002). Biplots analysis of the test sites and trait relations of soybean in Ontario. Crop Science 42 : 11-20
- Zobel R W, Wright M & Gauch H G (1988). Statistical analysis of a yield trial. Agronomy Journal 80 : 388- 393