Evaluation of yield stability of promising winter rapeseed lines in cold and semi-cold climate of Iran

Document Type : scientific research article

Authors

1 Corresponding Author, Assistant Prof., Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.

2 Professor, University of Agriculture and Natural Resources, University of Tehran, Karaj, Iran

3 Professor, University of Agriculture and Natural Resources, University of Tehran, Karaj, Iran.

4 Researcher, Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran.

Abstract

Background and Objectives: Rapeseed (B. napus. L) is the most important and most cultivated area among other oil crops in Iran. Two types of it, spring and winter, are cultivated in the country. More than 70% of rapeseed is cultivated in semi-hot and tropical regions and only 30% in cold and semi-cold areas of Iran. Considering the dependence of more than 90% of the country on oil imports and the importance of producing oilseeds, it seems necessary to pay attention to the appropriate cultivars in semi cold and cold regions and use the existing potential to develop its oilseed cultivation. Therefore, in this study, the stability of rapeseed winter mutant lines was investigated.
Materials and Methods: In this study, three Rapeseed cultivars named Zarfam, Talaieh and Express, along with 16 mutant lines, were obtained from irradiating the above cultivars with intensities of 800-900-1200 g of gamma-ray and, after seven generations, were salved. Along with three commercial cultivars, Okapi, Ahmadi and ES Neptune, they were planted in a randomized complete block design with three replications. This experiment was carried out in four research stations (Karaj, Zarghan, Kermanshah and Isfahan) during the two crop years of 2015-2016 and 2016-2017. In the combined analysis, the effect of environment (year composition on location) was considered random, and the effect of genotype was fixed. The stability of the lines was performed by AMMI method, Stability value (ASV) statistics and other stability methods include S (1-6), NP (1-4), etc.
Results: The Combined analysis of data showed that the effect of genotype, environment and genotype × environment interaction were significant at the 1% level probability and explained 7.5, 55.3 and 37.0% of the total variance of the data, respectively. In this study, genotype × environment interaction was divided into four components, which accounted for 36.7, 23.6, 16.5, and 9.7% of the total interaction squares, respectively. This study's results showed a high genetic diversity between mutant lines evaluated in terms of grain yield.
G13 (T-900-4) lines, followed by G6 (Z-900-7), and G3 (Z-800-6) were superior to other lines in grain yield, averaging 3840, 3757 and 3665 kg/ha, respectively. In the biplot diagram of grain yield and ASV index, lines G3, G6, G2, G18 and G7 had the highest yield and the lowest number for ASV, which were identified as stable lines.
Conclusion: The results of the Three-dimensional graph of the mean rank of stability statistics (Ar) and standard deviation of rankings (SD), and mean yield showed that lines G6 (Z-900-7), G2 (Z-800-3), G12 (T-800-6) and G15 (T-1200-1) were stable line with higher-than-average yield and control cultivars of the region and were identified as stable lines.

Keywords

Main Subjects


1.Rouhi, M., Banayan Aval, M. and Shirani Rad, A.H. 2021. Study of ecophysiology of reaction of wintering rapeseed (Brassica napus L.) cultivars to end of season drought stress in delayed culture. environmental. Env. Stresses Crop Sci. 14: 1. 13-26. (In Persian)
2.Ahmadi, M., Omidi, M., Alizadeh, B. and Shah Nejat Bushehri, A.A. 2019. Study of advanced mutant rapeseed lines in cold regions of Iran. J. Agric. Sci. Technol. 29: 4. 175-184. (In Persian)
3.Akcura, M., Kaya, Y., Taner, S. and Ayranci, R. 2006. Parametric stability analyses for grain yield of durum wheat. Plant Soil Environ. 52: 254-261.
4.Becker, H.C. and Leon, J. 1988. Stability analysis in plant breeding. Plant Breed. 101: 1-23.
5.Kang, M.S. and Gauch, H.G. 1996. Genotype-by-Environment Interaction. CRC press, Boca Raton, FL. Ali, N., F. Javıdfar and A.A. Attary. 2002. Stability analysis of seed yield in winter type rapeseed (Brassica napus) varieties. Pak. J. Bot. 34: 151-155.
6.Alizadeh, B., Rezaizad, A., Yazdandoost Hamedani, M., Shiresmaeili, G.h., Nasserghadimi, F., Khademhamzeh, H.R. and Gholizadeh, A. 2020. Evaluation of Seed Yield Stability of Winter Rapeseed (Brassica napus L.) Genotypes using Non-Parametric Methods. J. Crop. Breed. 12: 35. 202-212. (In Persian) 
7.Moghaddaszadeh, M., Asghari Zakaria, R., Hassanpanah, D. and Zare, N. 2019. Nonparametric stability analysis of tuber yield in potato (Solanum tuberosum L.) genotype. J. Crop. Breed. 28: 50-63. (In Persian)
8.Albert, J.A. 2004. A comparison of statistical methods to describe genotype×environment interaction and yield stability in multi-location maize trials. Free State University, Bloemfontein, M.Sc. Dissertation.
9.Mokhtarifar, Kh., Abdolshahi, R. and Pour Seyyedy, S. 2016. Yield Stability Analysis of Eight Bread Wheat (Triticum aestivum L.) Cultivars in Kerman Province Condition. J. Crop. Breed. 8: 17. 96-103. (In Persian)
10.Purchace, J.L., Hatting, H. and Vandeventer. C.S. 2000. Genotype × environment interaction of winter wheat (Triticum aestivum L.) in South Africa: II. Stability analysis of yield performance. S. Afr. J. Plant Soil, 17: 101-107.
11.Amini, A., Tabatabaee, M.T., Akbari Mogadam, H., Ravari, Z., Amin Azarm, D. and Tajali, H. 2021. Evaluation of grain yield and its stability in bread wheat genotypes in saline regions of Iran. Int. J. Fron. Crop. Sci. 51: 4. 191-202.
12.Alizadeh, B., Rezaizad, A., Yazdandoost Hamedani, M., Shiresmaeili, Gh., Nasserghadimi, F., Khademhamzeh, H.R. and Gholizadeh, A. 2021. Analysis of Genotype × Environment Interaction for Seed Yield in Winter Rapeseed Cultivars and Lines Using Multivariate Method of Additive Main Effects and Multiplicative Interaction. J. Crop. Proc. Prot. 11: 1. 95-108. (In Persian) 
13.Erdogdu, Y. and Esendal, E. 2019. Multi-Environment Trial Analysis by Parametric and Non-Parametric Stability Parameters for Seed Yield in Winter Rapeseed (Brassica napus L.) Genotypes. Turk. J. Field Crops. 26: 1. 71-78.
14.Taherian, M., Bihamta, M.R., Peyghambari, S.A., Alizadeh, H. and Rasoulnia, A. 2019. Stability Analysis and Selection of Salinity Tolerant barley Genotypes. J. Crop. Breed. 11: 29. 93-103. (In Persian)
15.Sharifi, P., Erfani, R., Mohaddesi, A., Abbasian, A., Aminpanah, H., Mohammad Yousefi, M. and Saeedi, M. 2021. Stability Analysis of Grain Yield of Some of Rice Genotypes by Parametric and Non-parametric Univariate Methods. Crop Prod.
13: 3. 85-106. (In Persian).
16.Zeinalzadeh-Tabrizi, H., Mansouri, S. and Fallah-Toosi, A. 2022. Evaluation of Seed Yield Stability of Promising Sesame Lines using Different Parametric and Nonparametric Methods. Plant Genet. Res. 8: 1. 43-60. (In Persian)
17.Liersch, A., Bocianowski, J., Nowosad, K., Mikołajczyk, K., Spasibionek, S., Wielebski, F., Matuszczak, M., Szała, L., Cegielska-Taras, T., Sosnowska, K. and Bartkowiak-Broda, I. 2020. Effect of Genotype × Environment Interaction for Seed Traits in Winter Oilseed Rape (Brassica napus L.). J. Agric. 10: 607. 1-19.
18.Mozaffari, K. and Ahmadi, M.R. 2010. Breeding rapeseed varieties for early maturity by inducting gamma rays. J. Nucl. Sci. Technol. Project Code: 5/1/1/26. pp. 1-66. (In Persian)
19.Huhn, M. 1990. Nonparametric measures of phenotypic stability. Part 1: Theory. Euphytica. 47: 189-1990.
20.Nassar, R. and Huhn, M. 1987. Studies on estimation of phenotypic stability: tests of significance for nonparametric measures of phenotypic stability. Biometrics. 43: 45-53.
21.Thennarasu, K. 1995. On certain non-parametric procedures for studying genotype-environment interactions and yield stability. PhD thesis, PJ School, IARI, New Delhi, India.
22.Wricke, G. 1962. Übereine Methode zur Erfassung der ökologischen Streubreite in Feldversuchen. Zeitschrift für Pflanzenzüchtung. 47: 92-96.
23.Shukla, G.K. 1972. Some statistical aspects of partitioning genotype-environmental components of variability. Heredity. 29: 237-245.
24.Finlay, K.W. and Wilkinson, G.N. 1963. Adaptation in a plant breeding programme. Aust. J. Agric. Res. 14: 742-754.
25.Eberhart, S.A.T. and Russell, W.A. 1966. Stability parameters for comparing varieties. Crop Sci. 6: 36-40.
26.Francis, T.R. and Kannenberg, L.W. 1978. Yield stability studies in short-season maize: I. A descriptive method for grouping genotypes. Can. J. Plant Sci. 58: 1029-1034.
27.Plaisted, R.L. 1960. A shorter method for evaluating the ability of selections to yield consistently over locations. A. Potato J. 37: 166-172.
28.Plaisted, R.I. and Peterson, L.C. 1959. A technique for evaluating the ability of selection to yield consistently in different locations or seasons. A. Potato J. 36: 381-385.
29.Pour-Aboughadareh, A., Yousefian, M., Moradkhani, H., Poczai, P. and Siddique, K.H.M. 2019. STABILITYSOFT: a new online program to calculate parametric and non-parametric stability statistics for crop traits. Appl. Plant Sci. 7: 1, e1211.
30.Najafi Mirak, T., Dastfal, M., Andarzian, B., Farzadi, H., Bahari, M. and Zali, H. 2019. Evaluation of Durum Wheat Cultivars and Promising Lines for Yield and Yield Stability in Warm and Dry Areas using AMMI Model and GGE Biplot. J. Crop. Breed. 10: 28. 1-12. (In Persian)
31.Najafi Mirak, T., Dastfal, M., Andarzian, B., Farzadi, H., Bahari, M. and Zali, H. 2018. Stability Analysis of Grain Yield of Durum Wheat Promising Lines in Warm and Dry Areas Using Parametric and Non-Parametric Methods. J. Crop. Proc. Prot. 8: 2. 79-96.