[Home ] [Archive]   [ فارسی ]  
:: About :: Main :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
About the Journal
Editorial Board
Aims& Scopes
Journal News
Publication Ethics
Indexing and Abstracting
Manuscript Review Process
Articles archive::
All Issues
Current Issue
For Authors::
Submission Instruction
Submission Form
For Reviewers::
Reviewers Section
Registration::
Registration Form
Contact us::
Contact Information
Contact us
Site Facilities::
Site map
Search contents
FAQ
Top 10 contents
Inform to friends
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..



 
..
:: Volume 8, Issue 1 (2021) ::
pgr 2021, 8(1): 95-114 Back to browse issues page
Evaluation of grain yield stability of lentil genotypes using non-parametric methods
Samaneh Akbari , OmidAli Akbarpour * , Payam Pezeshkpour
Department of Plant Production and Genetic Engineering, Faculity of Agriculture, Lorestan University, Khorramabad, Iran , akbarpour.oa@lu.ac.ir
Abstract:   (7692 Views)
The challenge of the interaction of genotype × environment is one of the main issues in plant breeding. Various statistical methods to estimate the interaction of genotype × environment and choice the stable and productive genotype(s) have been introduced. In this study, 14 lentil genotypes along with two controls (Sepehr and Gachsaran cultivars) were evaluated during four growing seasons (2016-2020). The experiments were conducted in a randomized complete blocks design in three replications at Sarab Changai Agricultural Research Station, Khorammabad (Iran). The combined analysis of variance was used to investigate the interaction of genotype × environment, and results of the analysis showed significant effects for genotype, year, and genotype × environment interaction. Genotypes G5 (FLIP2014-032L) and G12 (ILL8006) were introduced based on Si(1), Si(2), and NPi(1) statistics as stable and high-yielding genotypes. Based on various non-parametric statistics, genotypes G5 (FLIP2014-032L) with a mean grain yield of 1574.68 kg.ha-1 and G12 (ILL8006) with a mean grain yield of 1333.6 kg.ha-1 were introduced as stable genotypes. The heritability rate was estimated on the plot mean basis for yield trait in four years (0.61 ± 0.18) which indicated the capability of the studied genotypes to be selected and improved for grain yield. Based on the results of cluster analysis, the genotypes were divided into three main clusters. The highest distance was observed between the second and third groups. The first cluster included highly stable genotypes.
Keywords: Genetic variety, Cluster analysis, Non-parametric, Yield
Full-Text [PDF 951 kb]   (1582 Downloads)    
Type of Study: Applicable | Subject: Population genetics
References
1. Abdulahi, A., Mohammadi, R. and Pourdad, S.S. (2007). Evaluation of safflower (Carthamus spp.) genotypes in multi-environment trials by nonparametric methods. Asia Journal of Plant Sciences, 6(5): 827-832.
2. Adugna, W. and Labuschagne, M.T. )2003(. Parametric and nonparametric measures of phenotypic stability in linseed (Linum usitatissimum L.). Netherlands Journal of Plant Breeding, 129: 211-218.
3. Akbarpour, O.A., Dehghani, H., Sorkheh Lalelu, B. and Kang, M.S. (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.
4. Akcura, M., Kaya, Y., Taner, S. and Ayranci, R. (2006). Parametric stability analyses for grain yield of durum wheat. Plant Soil Environment, 52: 254-261.
5. Alizadeh, B., Rezaizad, A., Yazdandoost Hamedani, M., Shiresmaeili, G., Nasserghadimi, F. and Khademhamzeh, H. (2020). Investigation of genotype × environment interaction and seed yield stability of rapeseed genotypes in cold and mild cold regions of Iran. Plant Genetic Researches, 7(2): 65-82 (In Persian).
6. Alizadeh, B., Rezaizad, A., Yazdandoost Hamedani, M., Shiresmaeili, G., Nasserghadimi, F., Khademhamzeh, H. and Gholizadeh, A. (2020). Evaluation of seed yield stability of winter rapeseed (Brassica napus L.) genotypes using non-parametric methods. Journal of Crop Breeding, 35: 202-212.
7. Azizi Chakherchaman, S., Mostafaee, H., Hasanpanah, D,. Kazemiarbat, H. and Yarniya, M. (2009). Path coefficient analysis of yield and yield components in promising Lentil (Lens culinaris L.) genotypes under dry land conditions. Agroecology Journal, 5(4): 45-56 (In Persian).
8. Bredenkamp, J. )1974(. Nonparametriche prufung von wechsew-irkungen. Psychology Beitrage, 16: 398-416.
9. Chakherchaman, S., Mostafaee, H., Hasanpanah, D,. Kazemiarbat, H. and Yarniya, M. (2009). Path coefficient analysis of yield and yield components in promising Lentil (Lens culinaris L.) genotypes under dry land conditions. Agroecology Journal, 5(4): 45-56 (In Persian).
10. De Kroon, J. and Van Der Laan, P. (1981). Distribution free test procedures in two-way layouts: A concept of rank interaction. Statatistica Neerlandica 35: 189-213.
11. Ebadi Segherloo, A., Sabaghpour, S.H., Dehghani, H. and Kamrani, M. (2008). Non-parametric measures of phenotypic stability in chickpea genotypes (Cicer arietinum L.). Euphytica, 162: 221-229.
12. Eberhart, S.A. and Russell, W.A. (1966). Stability parameters for comparing varieties. Crop Science, 6:36-40.
13. Elias, A.A., Robbins, K.R,. Doerge, R.W. and Tuinstra, M.R. (2016). Half a century of studying genotype × environment interactions in plant breeding experiments. Crop Science, 58: 2090-2105.
14. Farshadfar, E., Sabaghpour, S.H. and Zali, H. (2012). Comparison of parametric and non parametric stability statistics for selecting stable chickpea (Cicer arietimum L.) genotypes under diverse environments. Australian Journal of Crop Science, 6: 514-524.
15. Flores, F., Moreno, M.T. and Cubero, J.I. (1998). A Comparison of univariate and multivariate methods to analyze G × E interaction. Field Crop Research, 56: 271-286.
16. Fox, P.N., Skovmand, B,. Thompson, B.K., Braun, H.J. and Cormier, R. (1990). Yield and adaptation of hexaploid spring triticale. Euphytica, 47: 57-64.
17. Hildebrand, H. (1980). Asymptotosch verteilungsfreie rangtests in linearen modellen. Medical Informatics Statistics, 17: 344-349.
18. Holland, J., Nyquist, W. and Cervantes-Martínez, C.T. (2003). Estimating and interpreting heritability for plant breeding: an update. Plant Breeding Reviews, 22: 9-112.
19. Huehn, M. (1979). Beitrage zur Erfassung der phanotypischen Stabilita t. I. Vorschlag einiger auf Rang informationen beruhenden Stabilitä tsparameter. EDV in Medizin ünd Biologie, 10: 112-117.
20. Huehn, M. (1996). Non-parametric analysis of genotype × environment interactions by ranks, In: Kang, M.S. and Gauch, H. G., Eds., Genotype By Environment Interaction. CRC Press, BocaRaton, FL, USA. [DOI:10.1201/9781420049374.ch9]
21. Huehn, M. and Leon, J. (1995). Nonparametric analysis of cultivar performance trials : Expermental results and comparison of different procedures based on ranks. Agronomy Journal, 87: 627-632.
22. Jamshidimoghaddam, M. and 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 Improvement Journal, 19(1): 45-63 (In Persian).
23. Kang, M.S. (1988). A rank-sum method for selecting high-yielding, stable corn genotypes. Cereal Research Communicationsn, 16: 113-115.
24. Karimizadeh, R. and Mohammadi, M. (2011). Determining the interaction of genotypes environment using parametric and non parametric methods of phenotypic stability in lentil genotypes. Modern Genetics Journal, 6: 75-86 (In Persian).
25. Kaya, Y. and Taner, S. (2003). Estimating genotypic ranks by nonparametric stability analysis bread wheat (Triticum aestivum L.). Journal of Central European Agriculture, 4: 47-53.
26. Kaya, Y. and Turkoz, M. (2016). Evaluation of genotype by environment interaction for grain yield in durum wheat using non-parametric stability statistics. Turkish Journal of Field Crops, 21: 51-59.
27. Kubinger, K.D. (1986). A note on non-parametric tests for the interaction on two- way layouts. Biometrical Journal, 28: 67-72.
28. Moghaddaszadeh, M., Asghari Zakaria, R., Hassanpanah, D. and Zare, N. (2018). Non-parametric stability analysis of tuber yield in potato (Solanum tuberosum L.) genotypes. Journal of Crop Breeding, 10(28): 50-63 (In Persian).
29. Mohammadi, R. and Amri, A. (2008) Comparison of parametric and non-parametric methods for selecting stable and adapted durum wheat genotypes in variable environments. Euphytica, 159: 419-432. [DOI:10.1007/s10681-007-9600-6]
30. Mohammadi, R., Abdulahi, A., Haghparast, R., Aghaee, M. and Rostaee, M. (2007). Nonparametric methods for evaluating of winter wheat genotypes in multi-environment trial. World journal of Agricultural Science, 3: 137-142.
31. Mohammadi, R., Abdulahi, A., Haghparast, R. and Armion, M. )2007(. Interpreting genotype × environment interactions for durum wheat grain yields using nonparametric methods. Euphytica, 157: 239-251.
32. Mohammadi, R., Armion, M., Zadhasan, E., Ahmadi, M.M. and Sadeghzadeh Ahari, D. (2012). Genotype × environment interaction for grain yield of rainfed durum wheat using the GGE Biplot model. Seed Plant Improvment Journal, 28-1(3): 503-518 (In Persian).
33. Mohtasham, M., Karimizadeh, R., Hosseinpour, T., Ghojogh, H., Shahbazi, K. and Sharifi, P. (2017). Use of parametric and non-parametric methods for genotype × environment interaction analysis in bread wheat genotypes. Plant Genetic Researches, 4(2): 75-88.
34. Mortazavian, S.M.M. and Azizzinia, S.H. )2014(. Nonparametric stability analysis in multi-environment trial of canola. Turkish Journal of Field Crops, 19(1): 108-117.
35. Mut, Z., Gulumser, A. and Sirat, A. (2010). Comparison of stability statistics for yield in barley (Hordeum vulgare L.). African Journal of Biotechnology, 9: 1610-1618.
36. Nassar, R. and Huehn, M. (1987). Studies on estimation of phenotypicstability: Tests of significance for non-parametric measures of phenotypic stability. Biometrics, 43: 45-53.
37. Pawar, I.S. and Singh, S. (2010).Theory and Application of Biometrical Genetics. CBS Publisher & Distributors Pvt. Ltd., (2010). Softcover, 1st edition. New Delhi, IND.
38. Pourdad, S., Jamshidmoghaddam, M., Faraji, A. and Naraki, H. (2014). Study on different nonparametric stability methods on seed yield of spring rapeseed varieties and hybrids. Iranian Journal of Field Crop Science, 44: 539-548 (In Persian).
39. Sabaghnia, N., Dehghani, H. and. Sabaghpour, S.H. (2006). Nonparametric methods for interpreting genotype×environment interaction of Lentil genotypes. Crop Science, 46: 1100-1106.
40. Sabaghnia, N., Sabaghpour, S.H. and Dehghani, H. (2008). The use of an AMMI model and its parameters to analize yield stability in multi-environment trials. Journal of Agricultural Science, 146(5): 571-581.
41. Sabaghpour, S.H., Safihkni, M. and Sarker, A. (2004). Present status and future prospects of lentil cultivation in Iran. Proceedings of the Fifth European Conference on Grain Legume, 7-11 June, Dijon, France.
42. Shukla, G.K. (1972). Some statistical aspects of partitioning genotype - environmental components of variability. Heredity, 29: 237-245.
43. Syukur, M., Sujiprihati, S., Yunianti, R. and Kusumah, D.A. (2014). Non parametric stability analysis for yield of hybrid chili pepper (Capsicum annuum L.) across six different environments. Journal Agronomi Indonesia, 42: 32-38.
44. Tahir, N.A.R. and Omer, D.A. (2017). Genetic variation in lentil genotypes by morpho-agronomic traits and RAPD-PCR. The Journal of Animal and Plant Sciences, 27(2): 468-480.
45. Thennarasu, K. (1995). On certain non-parametric procedures for studying genotype -environment interactions and yield stability. New Dehli, IN: PJ School; Iari.
46. Vaezi, B., Pour-Aboughadareh, A., Mehraban, A., Hossein-Pour, T., Mohammadi, R., Armion, M. and Dorri, M. (2018). The use of parametric and non-parametric measures for selecting stable and adapted barley lines. Archives of Agronomy and Soil Science, 64: 597-611.
47. Yong-jian, L., Chuan, D., Meng-liang, T., Er-liang1, H.U. and Yu-bi, H. )2010(. Yield stability of maize hybrids evaluated in maize regional trials in southwestern China using nonparametric methods. Agricultural Sciences in China, 9: 1413-1422.
48. Zaker Tavallaie, F., Ghareyazie, B., Bagheri, A. and Sharma, K. (2017). Genetic transformation of Lentil (Lens culinaris M.) and production of transgenic fertile plants. Iranian Journal Pulses Research, 7(2): 215-229 (In Persian).
49. Zali, H., Farshadfar, E. and Sabaghpour, S.H. (2011). Non-parametric analysis of phenotypic Stability in chickpea (Cicer arieti num L.) genotypes in Iran. Crop Breeding Journal, 1: 89-100.
Send email to the article author

XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Akbari S, Akbarpour O, Pezeshkpour P. Evaluation of grain yield stability of lentil genotypes using non-parametric methods. pgr 2021; 8 (1) :95-114
URL: http://pgr.lu.ac.ir/article-1-221-en.html
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 8, Issue 1 (2021) Back to browse issues page
پژوهش های ژنتیک گیاهی Plant Genetic Researches
Persian site map - English site map - Created in 0.07 seconds with 38 queries by YEKTAWEB 4657