Stability of yield and other important characters of short day onion genotypes in south regions of Iran using graphical GGE biplot method

Document Type : Full Paper

Authors

1 Agricultural Research, Education and Extension Organization

2 Seed and Plant Improvement Institute

Abstract

Stability of yield and other important characters of eight short day onion genotypes (Behbahan, Padook, Ramhormoz, Iranshahr and Brazjan landraces, Primavera and Texas Early Grano cultivars and  Behbahan bred onion) were studied using a randomized complete block design with four replications at Behbahan, Minab and Iranshahr Agriculture Research Stations for two years (2012-14). Genotype × environment interaction (GEI) was evaluated through GGE biplot. Using polygones for grouping of environments based on total yield showed that each location­ was considered as a mega environment. In Behbahan, Minab and Iranshahr locations, Texas Early Grano, Brazjan landrace and Primavera cultivar produced the highest total yield respectively. In regard to marketable yield two mega environments were identified. The first mega environment contains Minab and Iranshahr, the second mega-environment only contained Behbahan. According to the GGE biplot analysis of the ideal environment, it was concluded that Iranshahr and Minab were closest to the ideal environment for bolting and bulb doubling, respectively. For total and marketable yield Behbahan was closest to the ideal environment. Iranshahr and Behbahan was nearest to ideal environment for bulb dry matter percentage. Evaluation of genotypes through average environment coordinate indicated that Texas Early Grano was the best genotype in term of total yield and performance stability. Based on marketable yield, bulb doubling and bolting and performance stability, Primavera was the best genotype.

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References

  1. Anonymus. (2016). Agricultural statistics, first volume-horticultural and field crop, 2014-15 Ministry of Jihad-e- Agriculture, Programing and Economic Deputyt, Statistics and Information Tecnology Office. pp. 99. (in Farsi)
  2. Brandiej, E.  &Meverty, B. E. (1994). Genotype × environmental interaction and stability of seed yield of oil rapeseed. Crop Science, 18, 344-353.
  3. Brewster, J. L. (2008). Onions and other vegetable alliums (2th ed.) edition. CABI International , UK.
  4. Bybordi, A. & Malakoti, M. J. (1999). The necessary of optimum application of fertilizer to increase yield and quality and reducing nitrate concentration in onion bulb. Publication of Agricultural. 16 pp. (in Farsi)
  5. Darabi, A. (2009). Study of bulbing physiology in important local populations of Iranian onion in Behbahan and Karaj province. Ph. D. Thesis. Campus of Agriculture & Natural Science. Faculty of Agriculture and Engineering, Teharan University, Iran. 162 pp. (in Farsi)
  6. Dehghani, H., Ebadi, A. & Yousefi, A. (2006). Biplot analysis of genotype by environment interaction for barley yield in Iran.Agronomy Journal, 98, 388-393.
  7. Fallconer, D. S. (1981). Introduction to Quantitative Genetics. (2nd ed.). Longman Press. London, UK.
  8. FAO STAT. (2017).  Food and Agricultural Organization, from: www.fao.org/ faostst/en/#dara/QC.
  9. Fan, X. M., Kang, M. S., Chen, H., Zhang, Y., Tan, J. & Xu, C. (2007). Yield stability of maize hybrids evaluated in multi-environment trials in Yunnan, China. Agronomy Journal, 99, 220-228.
  10. Fattahi, F. & Yossefi, A. (2006). Evaluation of yield stability of barley genotypes (Hordeum vulgare L.) using repeatable stability parameters and pattern analysis of AMMI model.  Iranian Journal of Agricultural Science, 37, 317-326.  (in Farsi)
  11. Gauch, H. G. (2006). Statistical analysis of yield trials by AMMI and GGE. Crop Science, 46,
    1488-1500.
  12. Golani, J. I., Vaddoria, M. I., Metha, D. R., Naliyadhara, M. V. & Dobariya, K. L. (2005). Genotype × environment interaction and stability analysis in red onion (Allium cepa L.). Indian Journal of Agricultural Research, 39(4), 307-309.
  13. Jalata, Z. (2011). GGE biplot analysis of multi-environment yield trials of barley (HordeumVulgare L.) genotype in southeaster Ethiopia. Plant breeding and genetics, 5(1), 57-59.
  14. Khar, A., Ashadevi, A., Mahajan, V. & Lawande, K. E. (2007).Stability analysis of some elite onion lines in late kharif season. Indian Journal of Horticulture, 64(4), 415-419.
  15. Kimani, P. M., Kariuki, J. W., Peters, R. & Rabinowitch, H. D. (1993). Influence of the environment on the performance of some onion cultivars in Kenya. African Crop Science Journal, 1(1), 15-23.
  16. Koocheki, A. R., Sorkhilaleloo, B. & Eslamzadeh Hesari, M.R. (2012). Yield stability of barley elite genotypes in cold regions of Iran using GGE biplot. Seed and Plant Improvement Journal, 28(4), 533-543. (in Farsi)
  17. Lin, C. S., Binns, M. R. & Lefcovitch, L. P. (1986). Stability analysis: Where do we stand? Crop Science, 26, 894-900.
  18. Mohammadi, R., Haghparast, R., Amri, A. & Ceccarelli, S. (2010). Yield stability of rainfed durum wheat and GGE biplot analysis of multi-environment trials. Crop and Pasture Science, 61, 92-101.
  19. Mohammadi, R., Armion, M., Zadehhassan, E., Ahmadi, M. M. & Sadeghzadehahri, D. (2012). Genotype × environment interaction for grain yield of rainfed durum wheat using GGE biplot .Seed and Plant Improvement Journal, 28(3), 503-517. (in Farsi)
  20. Mostefavi, K., mohammadi, A., Khodarahmi, M., Zabet, M. & Zare, M. (2011). Yield response of commercial canola cultivar to different location using graphic GGE biplot method. Iranin Journal of Agronomy and plant breeding, 8 (4), 133-143. (in Farsi)
  21. MSTATC. (1983). Department of Crop and Soil Science. Mishigan State University.
  22. Perkins, J. M. & Jinks, J. L. (1971). Environmental and genotype environment components of variability. III. Multiple line and crosses. Heredity, 23, 339-356.
  23. Pham, H. N. & Kang, M. S. (1988). Interrelationships among and repeatability of several stability statistics estimated from international maize trials. Crop Science, 28, 925-928.
  24. Pourdad, S. S. & Moghaddam, M. J. (2013). Study on genotype × environment interaction through GGE biplot for seed yield in spring rapeseed (Brassica napus L.) in rain–fed condition. Journal of Crop Breeding, 5 (12), 1-14. (in Farsi)
  25. Rai, N. & Yadav, D. S. (2005). Advances in Vegetable Production. Research. Book Center. New Delhi. India.
  26. Roy, D. (2000). Plant breeding analysis and exploitation of variation. Alpha Science International Ltd., UK.
  27. Sabaghnia, N., Dehghani, H. & Sabaghpour, S. H. (2008). Graphical analysis of genotype by environment interaction for lentil yield in Iran. Agronomy Journal, 100, 760-764.
  28. Sayad, S., Khodarahmi, M., Hamidreza Nikkhah, H. R., SorkhiLaleloo, B., Tajali, H., Taheri, M., Hasani, F. & Mahlooji, M. (2014). Evaluation of yield stability of barley genotypes using GGE-biplot method. Applied Crop Breeding, 2 (1), 47-58. (in Farsi)
  29. Sing Batth, G., Kumar, H., Gupta, V. & Singh Bahar, P. (2013). GGE biplot analysis for characterization of garlic (Alliumsativum L.) germplasm based on agro-morphological traits. International Journal of plant Breeding, 7 (2), 106-110.
  30. Yan, W., Hunt, L. A., Sheng, Q. & Szlavnics, Z. (2000). Genotype evaluation and mega-environment investigation based on the GGE biplot. Crop Science, 40, 597-605.
  31. Yan, W. & Hunt, L. A. (2002). Biplot analysis of diallel data. Crop Science, 42, 21-30.
  32. Yan, W. & Kang, M. S. (2003). GGE Biplot Analysis: A Graphical Tool for Breeders, Geneticists, and Agronomists. CRC Press, Boca Raton, FL, USA.
  33. Yan, W. & Tinker, N. A. (2006). Biplot analysis of multi-environment trial data: Principles and applications. Canadian Journal of Plant Science, 86, 623-645.
  34. Yan, W., Baoluo, M., Sheila, M. & Paul, W.  (2007). GGE biplot vs.  Ammi analysis of genotype-by-environment data. Crop Science, 47, 643-653.

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History

  • Receive Date: 08 June 2017
  • Revise Date: 19 November 2017
  • Accept Date: 09 December 2017

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