Iranian Journal of Horticultural Science

Iranian Journal of Horticultural Science

Estimation of compatibility of some olive cultivars and genotypes in Tarom climate ‎conditions using non-parametric methods ‎

Document Type : Full Paper

Authors
Amir Abbas Taghizadeh 1
Roghayeh Aminian dehkordi 2
Ali asghar Zeinanloo 3
1 Ph.D. Candidate, Imam Khomeini International University, Qazvin, Iran
2 Assistant Professor, Imam Khomeini International University, Qazvin, Iran
3 Associate Professor, Temperate and Cold Fruits Research Institute (TCFRI), Horticulture Science Research Institute, Karaj, Iran
10.22059/ijhs.2019.283230.1662
Abstract
Investigation of the interactions of genotype× environment and integration of the effects of adaptation parameters are major problems in the decisions of plant breeding researchers. The aim of this study was to evaluate the adaptation and provide a strategy for the integration of sustainability parameters using non-parametric methods. For this purpose, one hundred genotypes and olive cultivars collected from all over Iran, in Tarom climate, were planted in the form of a randomized complete block design with three replications in 2006 and studied during six crop years from 2011 to 2016. To study the interaction effects of genotype and environment, four methods of De Kroon/Van der Laan, Bredenkamp, Hildebrand and Kubinger were used and to determine the compatibility, nonparametric methods of Nassar & Huhn and Thennarasu were used. The effects of stability and yield criteria were carried using the "adjusted of Selection Index of Ideal Genotype" (ASIIG) and the resulting plot. Accordingly, Koroneiki and Conservalia cultivars were the best cultivars for stability and yield index and QG12, BN8 and BASH genotypes were ranked last in terms of stability and yield.
Keywords
Anti-ideal genotype
interaction of genotype and environment
ideal genotype
Nassar and Huhn statistics
‎Thennarasu statistics
  1. Abdulahi, A., Mohammadi, R. & Pourdad, S.S. (2007). Evaluation of safflower (Carthamus spp.) genotypes in multi-environment trials by nonparametric methods. Asian Journal of Plant Sciences, 6, 827-832.
  2. Akbarpour, O. A., Dehghani, H., Sorkhi-Lalelo, B. & Singh Kang, M. (2016). A SAS macro for computing statistical tests for two-way table and stability indices of nonparametric method from genotype by environment interaction. Acta Scientiarum. Agronomy, 38(1), 35-50.
  3. Arji, I. (2018). Stability analysis of fruit yield of some olive cultivars in semi-arid environmental condition. Advances in Horticultural Science, 32(4), 517-524.
  4. Barranco, D., Cimato, A., Fiorino, P., Rallo, L., Touzani, A., Castañeda, C. & Trujillo, I. (2000). World catalogue of olive varieties. International Olive Oil Council, Madrid, pp. 360.‏
  5. Baxevanos, D., Goulas, C., Tzortzios, S. & Mavromatis, A. (2008). Interrelationship among and repeatability of seven stability indices estimated from commercial cotton variety evaluation trials in three Mediterranean countries. Euphytica, 161, 371-382.
  6. Bredenkamp, J. (1974). Nonparametrische Prüfung von Wechselwirkungen. Psychologische Beiträge, 16, 398-416.
  7. Bertrand, E. )2002(.  The beneficial cardiovascular effects of the Mediterranean diet. Olivae, 90, 29-31.
  8. De Kroon, J.P.M. & van der Laan, P. (1981). Distribution-free test procedures in two-way layouts: a concept of crossover-interaction. Statistica Neerlandica, 35, 189-213.
  9. Ebadi Segherloo, A., Sabaghpour, S., Dehghani H. & Kamrani, M. (2008). Non-parametric measures of phenotypic stability in chickpea genotypes (Cicer arietinum L.). Euphytica, 162, 221-229.
  10. Esmaelizadem, A., Zakizadeh, M., Akbarimogaddam, H., Abedniasfahlani, M., Sayahfar, M., Nekzadfar, A., Tabebgafari, S.M.  & Aeineh, A.L. (2011). Study of grain yield stability and genotypeenvironment interaction in 20 bread wheat lines in warm and dry areas of south of Iran. Electronic Journal of Crop Production, 3, 179-200. (in Farsi)
  11. Farshadfar, E., Sabaghpour, S.H. & Zali, H. (2012). Comparison of parametric and non-parametric stability statistics for selecting stable chickpea (Cicer arietinum L.) genotypes under diverse environments. Australian Journal of Crop Sci., 6 (3), 514-524.
  12. Farshadfar, E. (2015). Genotype and Environment Interaction in Plant Breeding. Islamic Azad University of Kermanshah.
  13. Hwang, C. L. & Yoon, K. (1981). Multiple Attributes Decision Making Methods and Applications, Springer.Berlin Heidelberg. Germany.
  14. Hildebrand, H. (1980). A symptotisch verteilungs freie Rangtests in linearen Modellen. Medizinische Informatik und Statistik, 17, 344-349
  15. IRIMO. (2017). Islamic Republic of Iran Meteorological Organization at: https://www.irimo.ir/.Accessed 16 Sep 2017.
  16. Jamshidimoghaddam, M. & Pourdad, S.S. (2013). Evaluation of seed yield adaptability of spring safflower genotypes using nonparametric parameters and GGE biplot method in rain-fed conditions. Seed and Plant Improvment Journal, 19 (1), 45-63. (in Farsi)
  17. Kang, M.S. & Martin, F.A. (1987). A review of interaction aspects of genotype environmental interactions and practical suggestions for sugarcane breeders. Journal of American Society of Sugarcane Technology, 9, 36-38.
  18. Kang, M.S. (1988). A rank-sum method for selecting high yielding stable corn genotypes. Cereal Research Communications, 16, 113-115.
  19. Kang, M.S. (1991). Modified rank-sum method for selecting high-yield, stable crop genotype. Cereal Research Communications, 19, 361-364.
  20. Kang, M.S. (1993). Simultaneous selection for yield and stability in crop performance trials: Consequences for growers. Agronomy Journal, 85, 754-757.
  21. Karimizadeh, R., Safikhani Nasimi, M., Mohamadi, M., Seyyedi, F., Mahmodi, A. & Rostami, B. (2009). Determination of rank and stability of lentil genotypes in rain-fed by use of nonparametric statistics. Agriculture and Natural Resources Science and Technology, 12, 93-102. (in Farsi)
  22. Kaya, Y. & Taner, S. (2003). Estimating genotypic ranks by nonparametric stability analysis in bread wheat (Triticum aestivum L.). Journal of Central European Agriculture, 4, 47-53.
  23. Magari, R. & Kang, M.S. (1997). SAS-STABLE: stability analyses of balances and unbalanced data. Agronomy Journal, 89, 929-932.
  24. Maulión, E., Valentini, G., Ornella, L., Pairoba, C. F., Daorden, M. E. & Cervigni, G. D. L. (2014). Study of statistic stability to select high-yielding and stable peach genotypes. Scientia Horticulturae, 175, 258-268.
  25. Ministry of Agricultural Jihad. (2018). Crop production yearbook in 2017-2018. (in Farsi)
  26. Mogaddam, A. (2003). Simultaneous selection for yield and yield stability and its comparison with different stability statistics. Seed and Plant Journal, 19, 1-13 (in Farsi).
  27. Moghaddam, M. J. & Pourdad, S.S. (2009). Comparison of parametric and non-parametric methods for analyzing genotype × environment interactions in safflower (Carthamus tinctorius L.). Journal of Agricultural Science, 147, 601-612.
  28. Mohammadi, R., Abdulahi, A., Haghparast, R., Aghaee, M. & Rostaee, M. (2007). Nonparametric methods for evaluating of winter wheat genotypes in multi-environment trial. World Journal of Agricultural Science, 3, 137-142.
  29. Mohammadi, R., Abdulahi, A., Haghparast, R., Aghaee, M. & Rostaee, M. (2007). Nonparametric methods for evaluating of winter wheat genotypes in multi-environment trial. World Journal of Agricultural Science, 3, 137-142.
  30. Najafi Mirak, T., Dastfal, M., Andarzian, B., Farzadi, H., Bahari, M. & Zali, H. (2018). Assessment of non-parametric methods in selection of durum wheat (Triticum turgidum L. var. durum) stable genotypes. Iranian Journal of Crop Sciences, 20 (2) ,126-138 (in Farsi)
  31. Nassar, R. & Huhn, M. (1987). Studies on estimation of phenotypic stability: Tests of significance for non-parametric measures of phenotypic stability. Biometrics, 43, 45-53
  32. Pourdad, S.S., Jamshid Moghaddam, M., Faraji, A. & Naraki, H. (2014). Study on different nonparametric stability methods on seed yield of spring rapeseed varieties and hybrids. Iranian Journal of Field Plant Science, 44, 539-548. (in Farsi)
  33. Rasoli, V., Farshadfar, E. & Ahmadi, J. (2015). Evaluation of Genotype× Environment Interaction of grapevine genotypes (Vitis vinifera L.) by non parametric method. Journal of Agricultural Technology, 17, 1279-1289.
  34. Romagosa, I. & Fox, P.N. (1993). Genotype ×environment interaction and adaptation. In: M.D. Hayward, N. O. Bosemark & I. Romagosa (Ed), Plant Breeding: Principles and Prospects, p. 373-390. London, Chapman & Hall.
  35. Sadrabadi, R., Marashi, H. & Nasiri, M. )2002(. Principles of cultivar development. Vol 1. Theory and technique. Ferdosi University of Mashhad Publication.
  36. Sivčev, B., Petrović, N., Ranković-Vasić, Z., Radovanović, D., Vuković, A. & Vujadinović, M. (2011). Effect of the Genotype-environmental Interaction on Phenotype Variation of the Bunch Weight in White Wine Varieties. Arch. Biol. Sci., Belgrade, 63, 365-370.
  37. Thennarasu, K. (1995). On certain non-parametric procedures for studying genotype-environment interactions and yield stability. PhD Thesis. P. J. School, IARI, New Delhi. 1995
  38. Therios I. N. (2009) Olives. Crop production science in horticulture series. - CABi, Walllinford, Oxfordshire, UK, pp. 409.
  39. Tigerstedt, P.M.A. )1994(. Adaptation, variation and selection in marginal areas. Euphytica, 77, 171-174.
  40. Zali, H. (2006). Evaluation of adaptation of yield in chickpea genotypes using AMMI model and path analysis. MSc Thesis. College of agriculture. University of Razi Kermanshah Iran. (in Farsi)
  41. Zali, H., Farshadfar, E. & Sabaghpour, S.H. (2011).  Non-parametric analysis of phenotypic stability in chickpea (Cicer arietinum L.) genotypes in Iran. Journal of Crop Breeding, 1, 89-100
  42. Mohammadi, M., Karimizadeh, R., Sabaghnia, N. & Shefazadeh, M. K. (2013). Estimating genotypic ranks by several nonparametric stability statistics in Barley (Hordeum vulgare L.). Yuzuncu Yıl University Journal of Agricultural Sciences, 23(2), 57-65.
  43. Zali, H., Sofalian, O., Hasanloo, T., Asghari, A. & Hoseini, S.M. (2015). Appraising of drought tolerance relying on stability analysis indices in canola genotypes simultaneously, using selection index of ideal genotype (SIIG) technique: Introduction of new method. Biological Forum – An International Journal, 7(2), 703-711.
  44. Zali, H., Hasanloo, T., Sofalian, O., Asghari, A. & Zeinalabedini, M. (2016). Appropriate strategies for selection of drought tolerant genotypes in canola. Journal of Crop Breeding, 8(20), 77-90. (in Farsi)
  45. Zeinanloo, A. A., Arji, I., Taslimpour, M., Ramazani, M. R. M. & Azimi, M. (2015). Effect of cultivar and climatic conditions on olive (Olea europaea L.) oil fatty acid composition. Iranian Journal of Horticultural Sciences, 46(2), 233-242. (in Farsi)

 

Iranian Journal of Horticultural Science
Volume 51, Issue 3
Autumn 2020
Pages 657-688

  • Receive Date 13 June 2019
  • Revise Date 17 August 2019
  • Accept Date 27 August 2019