Farklı Çevre Şartlarında Yetiştirilen Yağlık Ayçiçeği Genotiplerinin AMMI Analizi ile Genotip x Çevre İnteraksiyonlarının İncelenmesi

Yıl 2022, , 2532 - 2542, 01.12.2022

Mustafa Yaşar , Mehmet Sezgin

https://doi.org/10.21597/jist.1159707

Cited By: 2

Öz

Genotip, çevre interaksiyonu diğer bitkilerde olduğu gibi ayçiçeği bitkisinde de verimi sınırlayan önemli bir
faktördür. Çoklu çevre şartlarında yetiştiriciliği yapılan yağlık ayçiçeği genotiplerinden elde edilen tane verimi bakımından
AMMI analizi kullanılarak genotiplerin stabilite durumları incelenmiştir. Bu çalışma; toplam on iki yağlık ayçiçeği genotipi
ile altı lokasyonda iki yıl (2016 ve 2017) süre ile tesadüf blokları deneme desenine göre dört tekrarlamalı olarak
yürütülmüştür. AMMI analizi ile en stabil genotipler ve özel çevrelere uyumlu genotipler belirlenmeye çalışılmıştır. AMMI
analizi ile kareler ortalamasının % 73.5 ile en fazla çevreden, % 19.5 ile interaksiyondan ve % 7.0 ile genotipten etkilendiği
tespit edilmiştir. Analiz sonuçlarına göre G3, G8 genotiplerinin oldukça stabil oldukları ve bu çeşitlerle birlikte G4, G6, G7,
G9 ve G10 genotipleri ortalamanın üzerinde bir verime, G1 genotipinin oldukça düşük verime sahip olduğu ve G9, G10 ve
G11’in stabilite çizgisinden oldukça uzakta konumlandıkları ve dolayısıyla stabil olmadıkları anlaşılmıştır. AMMI analizi ile
çevreler değerlendirildiğinde E5’in en elverişli ve yüksek verimli olduğu, bu çevre ile birlikte E10 ve E11’in ortalama verimin
üzerinde bir verim ile sonuçlandığı tespit edilmiştir. Ayrıca yapılan sektör analizinde ise G4 ve G6’nın E3, E4, E7, E10 ve
E11 çevrelerde, G8, G7 ve G1’nun E1, E2, E5, E6 E8 ve E12 çevrelerde, G2 ve G9’un ise sadece E9 çevresinde yüksek
performans sergiledikleri ve spesifik olarak bu çevrelerde önerilirken G1 ve G5 gibi diğer genotipler ise çevrelerle
ilişkilendirilmemiştir. Sonuç olarak AMMI analizi ile görsel olarak en stabil ve yüksek verimli genotipler belirlenmiştir.

Anahtar Kelimeler

AMMI, Ayçiçeği, verim, interaksiyon, stabilite

Destekleyen Kurum

Ankara Tohumluk Tescil ve Sertifikasyon Merkez Müdürlüğü-Ankara

Teşekkür

Bu çalışmadaki desteklerinden dolayı Ankara Tohumluk Tescil ve Sertifikasyon Merkez Müdürlüğüne teşekkür ederiz.

Investigation of Genotype x Environment Interactions by AMMI Analysis of Oilseed Sunflower Genotypes Grown in Different Environmental Conditions

Öz

Genotype-environment interaction is an important factor limiting yield in sunflower as in other plants. Stability
of the genotypes was investigated by using AMMI analysis in terms of seed yield obtained from oil sunflower genotypes
grown under multi-environmental conditions. This work; The study was carried out with a total of twelve oil sunflower
genotypes in six locations for two years (2016 and 2017) in a randomized block design with four replications. The most stable
genotypes and genotypes compatible with special environments were tried to be determined by AMMI analysis. With AMMI
analysis, it was determined that the mean of squares was affected by the environment with 73.5%, interaction with 19.5%
and genotype with 7.0%. According to the results of the analysis, the G3, G8 genotypes are quite stable and together with
these varieties, the G4, G6, G7, G9 and G10 genotypes have a seed yield above the average, the G1 genotype has a very low
seed yield, and the G9, G10 and G11 are located quite far from the stability line. therefore, they were found to be unstable.
When the environments were evaluated with AMMI analysis, it was determined that E5 was the most suitable and highly
productive, and together with this environment, E10 and E11 resulted in a seed yield above the average yield. In addition, in
the sector analysis made, it is seen that G4 and G6 are high in E3, E4, E7, E10 and E11 circles, G8, G7 and G1 are high in
E1, E2, E5, E6 E8 and E12 circles, and G2 and G9 are only high in E9 circles. performance and were specifically
recommended for these environments, while other remaining genotypes such as G1 and G5 were not associated with
environments. As a result, visually the most stable and high yielding genotypes were determined by AMMI analysis.

Anahtar Kelimeler

Sunflower, yield, interaction, stability, AMMI

Kaynakça

• Aktas B, Ure T, 2021. Evaluation of Multi-Environment Grain Yield Trials in Maize Hybrids by GGE-Biplot Analysis Method. Maydica, 65(3), 9.
• Ansarifard I, Mostafavi K, Khosroshahli M, Reza Bihamta M, Ramshini H, 2020. A Study on Genotype–Environment Interaction Based on GGE Biplot Graphical Method in Sunflower Genotypes (Helianthus annuus L.). Food Science & Nutrition, 8(7), 3327-3334.
• Balalic I, Brankovic G, Zoric M, Miklic V, Jocic S, Surlan-Momirovic G, 2013. Sunflower Mega-Environments in Serbia Revealed by GGE Biplot Analysis. Field and Vegetable Crops Research, 50(2), 20-27.
• Boydak E, Fırat R, 2020. Bazı Farklı Ayçiçeği (Helianthus Annuus L.) Genotiplerinin Geçit Bölgelerindeki Performanslarının Belirlenmesi. Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 9(1): 288-294, 2019. ISSN: 2146-0574, eISSN: 2536-4618.
• Gauch HG, 2006. Statistical Analysis of Yield Trials by AMMI and GGE. Crop Science 46(4), 1488–1500.
• Heiser C.B, Smith D.M, Clevenger S.B, Martin W.C, 1969. The north american sunflowers (Helianthus). Memoirs of the Torrey Botanical Club, 22(3), 1-218.
• Heiser Jr. C.B, 1978. Taxonomy of Helianthus and Origin of Domesticated Sunflower. Sunflower Science and Technology, 19, 31-53.
• Jockovic M, Cvejic S, Jocic S, Marjanovic-Jeromela A, Miladinovic D, Jockovic B, Radic V, 2019. Evaluation of Sunflower Hybrids in Multi-Environment Trial (MET). Turkish Journal of Field Crops, 24(2), 202-210.
• Joshi R, Wani S.H, Singh B, Bohra A, Dar Z.A, Lone A.A, Pareek A, Singla-Pareek S.L, 2016. Transcription Factors and Plants Response to Drought Stress: Current Understveing ve Future Directions, Frontiers in Plant Science, vol. 7.
• Kaya Y, Atakişi İ. K, 2002. Ayçiçeğinde (Helianthus annuus L.) Farklı Verim Karakterlerinde Stabilite Analiz. ANADOLU, Journal of Aegean Agricultural Research Institute. 12 (2) 2002, 1 - 20 MARA.
• Kaya A.R, Eryiğit T, 2020. Bazı Yağlık Ayçiçeği (Helianthus annuus L.) Çeşitlerinin Önemli Kalite Özelliklerinin Tespiti Üzerine Bir Araştırma. Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 10(3): 2143-2152, 2020. ISSN: 2146-0574, eISSN: 2536-4618.
• Kendal E, Sener O, 2015. Examination of Genotype× Environment İnteractions by GGE Biplot Analysis in Spring Durum Wheat. Indian J. Genet, 75(3), 341-348.
• Kendal E, Tekdal S, 2016. Application of AMMI Model for Evaulation Spring Barley Genotypes in Multi-Environment Trials. Bangladesh Journal of Botany, 45(3), 613-620.
• Khan M.M.H, Rafii M.Y, Ramlee S. I, Jusoh M, Al Mamun M, 2021. AMMI ve GGE Biplot Analysis for Yield Performance and Stability Assessment of Selected Bambara Groundnut (Vigna subterranea L. Verdc.) Genotypes Under the Multi-Environmental Trials (METs). Scientific Reports, 11(1), 1-17.
• Khomari A, Mostafavi K, Mohammadi A, 2017. Stability Study of Yield in Sunflower (Helianthus Annuus L.) Cultivars Using AMMI Method. Journal of Crop Breeding, 9(23), 117–124.
• Miller J. F, 1987. Sunflower. Vol. 2. pp. 626-668. In: W. Fehr (Ed.) Principle of Cultivar Development. Macmillan Pub. Co. NY.
• Mohammadi R, Amri A, 2013. Genotype x Environment İnteraction and Genetic İmprovement for Yield and Yield Stability of Rainfed Durum Wheat in Iran. Euphytica 192 (2):227-249.
• Movahedi H, Mostafavi K, Shams M, Golparvar A.R, 2020. AMMI Analysis of Genotype× Environment İnteraction on Grain Yield of Sesame (Sesamum indicum L.) Genotypes in Iran. Biotechnology & Biotechnological Equipment, 34:1, 1013-1018, DOI: 10.1080/13102818.2020.1816216.
• Pveey G, 2018. Challenges and Future Prospects of Agri-Nano-Technology for Sustainable Agriculture in India. Environmental Echnology & Innovation, 11, 299–307. https://doi.org/10.1016/j.eti.2018.06.012.
• Putt E.D, 1978. History and Present Word Status. pp. 1-9. In: J. F. Carter (Ed.) Sunflower Science and Technology. American Society of Agronomy, Madison. Wl.
• Oliveira E.J, Freitas J.P.X, Jesus O.N, 2014. AMMI Analysis of The Adaptability and Yield Stability of Yellow Passion Fruit Varieties. Scientia Agricola 71 (2): 139-145.
• Sefaoğlu F, Kaya C, 2018. Bazı Yağlık Ayçiçeği (Helianthus annuus L,) Genotiplerinin Erzurum Ekolojik Koşullarında Adaptasyon Kabiliyetlerinin Belirlenmesi. Alınteri Zirai Bilimler Dergisi. 2018, 33(1): 37-41.
• Seiler G.J, Qi L.L, Marek L.F, 2017. Utilization of Sunflower Crop Wild Relatives for Cultivated Sunflower Improvement, Crop Science.
• Stojakovic M, Mitrovic B, Zoric M, Ivanovic M, Stanisavljevic D, Nastasic A, Dodig D, 2015. Grouping Pattern of Maize Test Locations and İts İmpact on Hybrid Zoning. Euphytica 204 (2): 419-431.
• Tan A.Ş, Tan A. 2010. Sunflower (Helianthus annuus L.) Landraces of Turkey, Their Collections Conservation and Morphmetric Characterization. Helia 33 (53): 55-62.
• Tan A.Ş, Aldemir M, Altunok A, Tan A, 2013. Characterization of Confectionary Sunflower (Helianthus Annuus L.) Genetic Resources of Denizli and Erzurum Provinces. ANADOLU, Journal of Aegean Agricultural Research Institute (AARI) 23 (1) 2013, 5 - 11 MARA.
• Tekdal S, Kendal E, 2018. AMMI Model To Assess Durum Wheat Genotypes in Multi-Environment Trials. Journal of Agricultural Science and Technology, 20(1), 153-166.
• TÜİK 2022. Yağlık Ayçiçeği Üretim İstatistikleri. Erişim linki: https://data.tuik.gov.tr/Kategori/GetKategori?p=tarim-111&dil=1 (Erişim Tarihi: 08.08.2022). Xu N.Y, Fok M, Zhang G.W, Li J, Zhou Z.G, 2014. The Application of GGE Biplot Analysis For Evaluating Test Locations And Mega-Environment İnvestigation Of Cotton Regional Trials. Journal of Integrative Agriculture, 13(9), 1921-1933.
• Vaezi B, Pour-Aboughadareh A, Mohammadi R, Armion M, Mehraban A, Hossein-Pour T, Dorii M, 2017. GGE Biplot and AMMI Analysis of Barley Yield Perfo Rmance in Iran. Cereal Research Com., 45(3), 500-511.
• Verianasolo F.N, Casadebaig P, Langlade N, Debaeke P, Maury P, 2016. Effects of Plant Growth Stage and Leaf Aging on the Response of Transpiration and Photosynthesis to Water Deficit in Sunflower, Functional Plant Biology, vol. 43, no. 8, pp. 797-805.
• Yadav S, Sharma K.D, 2016. Molecular and Morphophysiological Analysis of Drought Stress in Plants," Plant Growth,150-173. Yan W, Kang M.S, Ma B, Woods S, Cornelius P.L, 2007. GGE Biplot vs. AMMI Analysis of Genotype-by-Environment Data. Crop Science 47(2), 643–653.
• Yan W, Tinker N.A, 2006. An Biplot Analysis of Multi-Environment Trial Data; Principles and Applications, Canadian Journal of Plant Science 86, 623-64.
• Zeven A.C, De Wet J.M, 1982. Dictionary of Cultivated Plants and Their Regions of Diversity: Excluding Most Ornamentals, Forest Trees and Lower Plants. Pudoc, Wageningen, the Netherlves.