[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): 43-60 Back to browse issues page
Evaluation of Seed Yield Stability of Promising Sesame Lines using Different Parametric and Nonparametric Methods
Hossein Zeinalzadeh-Tabrizi * , Sadollah Mansouri , Abbas Fallah-Toosi
Horticultural and Crops Research Department, Ardabil Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization (AREEO), Moghan, Iran , h.zeinalzadeh@areeo.ac.ir
Abstract:   (6911 Views)
Analysis of genotype by environment interaction using different statistical methods is very important in plant breeding. In order to evaluate the seed yield stability of promising sesame lines using different parametric and non-parametric statistics, an experiment was conducted using 13 promising sesame lines with check variety Oltan at three locations of Karaj, Mashhad, and Moghan (Iran) in a randomized complete block design with four replications over two years (2016 and 2017). Combined analysis of variance for seed yield of promising sesame lines showed that the effect of genotype and the three-way interaction of genotype × year × location at the level of 0.01% probability were statistically significant. Karaj-96 environment with 1346 kg/ha and Mashhad-96 environment with 1001 kg/ha had the highest and lowest mean yield, respectively. The highest and lowest mean seed yield among genotypes in all test environments were related to G6 line with 1444 kg/ha and G12 line with 762 kg/ha, respectively. Heatmap along with cluster analysis divided both genotypes and stability parameters into three groups. Based on cluster analysis, genotype G12 was clustered into the first group, genotypes G1, G3, G7, G8, and G13 were clustered into the second group and the rest of the genotypes along with the check cultivar Oltan were clustered into the third group. The genotypes of the second group with the highest rank in most criteria of stability stasistics were stable compared to other genotypes and among them, the genotypes G8, G1 and G3 (with mean yields 1417, 1398 and 1291 Kg/ha, repectively) were selected and recommended in the test locations due to their average yield above the average yield of all genotypes.
 
Keywords: Cluster analysis, Genotype, Genotype by environment interaction, Heatmap
Full-Text [PDF 801 kb]   (1626 Downloads)    
Type of Study: Research | Subject: Bioinformatics
References
1. Abate, M., Mekbib, F., Ayana, A. and Nigussie, M. (2015). Genotype x environment and stability analysis of oil content in sesame (Sesamum indicum L.) evaluated across diverse agro-ecologies of the Awash Valleys in Ethiopia. Journal of Experimental Agriculture International, 9: 1-12.
2. Adugna, W. and Labuschagne, M. (2003). Parametric and nonparametric measures of phenotypic stability in linseed (Linum usitatissimum L.). Euphytica, 129: 211-218.
3. Ahmadi, K., Ebadzadeh, H., Hatami, F., Abdshah, H. and Kazemian, A. (2019) Agricultural Statistics I: Field Crops in, Iranian Ministry of Agriculture. Tehran, Iran (In Persian).
4. Alberts, M.J. (2004) A Comparison of Statistical Methods to Describe Genotype x Environment Interaction and Yield Stability In Multi-Location Maize Trials. University of the Free State, Bloemfontein, SA.
5. Alizadeh, B., Rezaizad, A., Yazdandoost Hamedani, M., Shiresmaeili, G., Nasserghadimi, F. and Khademhamzeh, H.R. (2021). Investigation of genotype × environment interaction and seed yield stability of rapeseed genotypes in cold and mild cold regions of Iran. Plant Genetic Researches, 7(1): 65-82 (In Persian).
6. Amiri Oghan, H., Zeinalzadeh-Tabrizi, H., Fanaei, H.R., Kazerani, N.K., Ghodrati, G., Danaie, A. and Valipuor, M.B. (2019). Stability study of seed yield in promising lines of spring oilseed rape in southern-worm regions of Iran. Journal of Crop Breeding, 11: 42-54 (In Persian).
7. Bashir, M., Muhammad, Y., Abid, M., Ahsan, M. and Khan, Q. (2020). Adaptability trials of sesame germplasm against Macrophomina phaseolina by using AMMI biplot analysis in Pakistan. International Journal of Agriculture and Biology, 23: 851-856.
8. Bayuardi-Suwarno, W., Sobir, A.H. and Syukur, M. (2008). PBSTAT: a web-based statistical analysis software for participatory plant breeding. Paper presented at the Memorias de The 3rd International Conference On Mathematics And Statistics, Bogor, Indonesia, Bogor, Indonesia.
9. Becker, H. and Leon, J. (1988). Stability analysis in plant breeding. Plant Breeding, 101: 1-23. [DOI:10.1111/j.1439-0523.1988.tb00261.x]
10. Changizi, M., Choukan, R., Heravan, E.M., Bihamta, M.R. and Darvish, F. (2014). Evaluation of genotype× environment interaction and stability of corn hybrids and relationship among univariate parametric methods. Canadian Journal of Plant Science, 94: 1255-1267.
11. Eberhart, S. and Russell, W. (1966). Stability parameters for comparing varieties 1. Crop Science, 6: 36-40.
12. FAOSTAT. (2018). Food and Agriculture Organization of the United Nations. Available online at: http://wwwfaoorg/faostat/en/#data Accessed August 2020.
13. Farrokhi, E. and Ahamadi, M.R. (1998). Comparison of different methods for determining of stability parameters on sesame varieties of North of Iran. Iranian Journal of Agriculture Science, 29: 275-283 (In Persian).
14. Farshadfar, E. (1998) Application of Quantitative Genetics in Plant Breeding, Razi University, Kermanshah, Iran (In Persian).
15. Fasahat, P., Rajabi, A., Mahmoudi, S., Abdolahian-Noghabi, M. and Mohseni-Rad, J. (2015). An overview on the use of stability parameters in plant breeding. Biometrics & Biostatistics International Journal, 2: 149-159.
16. Fikere, M., Tadesse, T. and Letta, T. (2008). Genotype-environment interactions and stability parameters for grain yield of faba bean (Vicia faba L.) genotypes grown in South Eastern Ethiopia. International Journal of Sustainable Crop Production, 3: 80-87.
17. Finlay, K. and Wilkinson, G. (1963). The analysis of adaptation in a plant-breeding programme. Australian Journal of Agricultural Research, 14: 742-754.
18. Fox, P., Skovmand, B., Thompson, B., Braun, H.J. and Cormier, R. (1990). Yield and adaptation of hexaploid spring triticale. Euphytica, 47: 57-64.
19. Francis, T. and Kannenberg, L. (1978). Yield stability studies in short-season maize. I. A descriptive method for grouping genotypes. Canadian Journal of Plant Science, 58: 1029-1034.
20. Freiria, G.H., Gonçalves, L.S.A., Furlan, F.F., Fonseca Junior, N.D.S., Lima, W.F. and Prete, C.E.C. (2018). Statistical methods to study adaptability and stability in breeding lines of food-type soybeans. Bragantia, 77: 253-264.
21. Goksoy, A., Sincik, M., Erdogmus, M., Ergin, M., Aytac, S., Gumuscu, G., Gunduz, O., Keles, R., Bayram, G. and Senyigit, E. (2019). The parametric and non-parametric stability analyses for interpreting genotype by environment interaction of some soybean genotypes. Turkish Journal of Field Crops, 24: 28-38.
22. Grubbs, F.E. (1969). Procedures for detecting outlying observations in samples. Technometrics, 11: 1-21.
23. Hanson, W. (1970). Genotypic stability. Theoretical and Applied Genetics, 40: 226-231.
24. Huhn, M. (1990). Nonparametric measures of phenotypic stability: Part 1: Theory. Euphytica, 47: 189-199.
25. Hühn, M. and Léon, J. (1995). Nonparametric analysis of cultivar performance trials: experimental results and comparison of different procedures based on ranks. Agronomy Journal, 87: 627-632.
26. Kang, M. (1988). A rank-sum method for selecting high-yielding, stable corn genotypes. Cereal Research Communications, 16: 113-115.
27. Karimizadeh, R., Hosseinpour, T., Alt Jafarby, J., Shahbazi Homonlo, K. and Armion, M. (2021). Evaluation of genotype × environment interaction and determining grain yield stability of durum wheat genotypes in uniform regional yield trials in semi-warm rainfed areas. Plant Genetic Researches, 7(2): 25-40 (In Persian).
28. Kilic, H., Akcura, M. and Aktas, H. (2010). Assessment of parametric and non-parametric methods for selecting stable and adapted durum wheat genotypes in multi-environments. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 38: 271-279.
29. Kubinger, K.D. (1986). A note on non‐parametric tests for the interaction in two‐way layouts. Biometrical Journal, 28: 67-72.
30. Kumaresan, D. and Nadarajan, N. (2005). Stability analysis for yield and its components in sesame (Sesamum indicum L.). Indian Journal of Agricultural Research, 39: 60-63.
31. Levene, H. (1961) Robust Tests for Equality of Variances, Stanford University Pres, California, USA.
32. Mansoori, S., Zeinalzadeh Tabrizi, H. and Fallah-Toosi, A. (2019). Adaptability Evaluation of New Sesame Lines For Yield and Important Agronomic Traits. Final Research Report Seed and Plant Improvement Institute (SPII), AREEO, IR (In Persian).
33. Masoudi, B., Abbasali, M., Aien, A. and Saif Amiri, S. (2020). Evaluation of sesame yield stability using statistical parameters and GGE biplot graphical methods. Journal of Crop Production, 13: 71-84 (In Persian).
34. Mekonnen, Z. and Mohammed, H. (2010). Study on genotype x environment interaction of oil content in sesame (Sesamum indicum L.). World Journal of Fungal and Plant Biology, 1: 15-20.
35. Mirza, M.Y., Khan, M.A., Amjad, M. and Nawaz, M.S. (2013). Stability analysis for economic traits in sesame (Sesamum indicum L.). Pakistan Journal of Agricultural Research, 26: 168-177.
36. Mohammadi, R. and Amri, A. (2013). Genotype× environment interaction and genetic improvement for yield and yield stability of rainfed durum wheat in Iran. Euphytica, 192: 227-249.
37. Mohammadi, R., Sadeghzadeh, B., Poursiahbidi, M.M. and Ahmadi, M.M. (2020). Integrating univariate and multivariate statistical models to investigate genotype × environment interaction in durum wheat. Annals of applied biology, 1. [DOI:10.1111/aab.12648]
38. Movahedi, H., Mostafavi, K., Shams, M. and Golparvar, A.R. (2020). AMMI analysis of genotype × environment interaction on grain yield of sesame (Sesamum indicum L.) genotypes in Iran. Biotechnology & Biotechnological Equipment, 34: 1013-1018.
39. Nassar, R. and Huehn, M. (1987). Studies on estimation of phenotypic stability: Tests of significance for nonparametric measures of phenotypic stability. Biometrics, 43: 45-53.
40. Oz, M. (2018). Yield and stability analysis of some sesame (Sesamum indicum) genotypes in Turkey. International Journal of Agriculture and Biology, 20: 821-825.
41. Plaisted, R. (1960). A shorter method for evaluating the ability of selections to yield consistently over locations. American Potato Journal, 37: 166-172.
42. Plaisted, R. and Peterson, L. (1959). A technique for evaluating the ability of selections to yield consistently in different locations or seasons. American Potato Journal, 36: 381-385.
43. Purchase, J., Hatting, H. and Van Deventer, C. (2000). Genotype× environment interaction of winter wheat (Triticum aestivum L.) in South Africa: II. Stability analysis of yield performance. South African Journal of Plant and Soil, 17: 101-107.
44. Ramazani, S.H.R. (2013). Investigation on the yield and yield components of Iranian promising Sesame (Sesamum indicum L.) lines. International Journal of Agriculture and Crop Sciences, 6: 23-26.
45. Ramazani, S.H.R. and Mansouri, S. (2017). Relationships of quantitative traits in advanced lines of sesame. Journal of Crop Breeding, 9: 58-66. (In Persian).
46. Rharrabti, Y., del Moral, L.G., Villegas, D. and Royo, C. (2003). Durum wheat quality in mediterranean environments: III. Stability and comparative methods in analysing G × E interaction. Field Crops Research, 80: 141-146.
47. Robbelen, G., Downey, R.K. and Ashri, A. (1987). Oil Crops of the World. Mc GrawHill Publication. New York. USA.
48. Ryan, M.C., Stucky, M., Wakefield, C., Melott, J.M., Akbani, R., Weinstein, J.N. and Broom, B.M. (2020). Interactive clustered heat map builder: An easy web-based tool for creating sophisticated clustered heat maps. F1000Research (ISCB Comm J), 8. 1750. [DOI:10.12688/f1000research.20590.2]
49. Sahin, E., Tabrizi, H. and Tosun, M. (2011). Genotype × environment interaction and stability analysis of orchardgrass (Dactylis glomerata L.) ecotypes for seed yield in Turkey. Research Journal of Biological Sciences, 6: 413-416.
50. Salehi, M. and Saeidi, G. (2012). Genetic variation of some agronomic traits and yield component in breeding lines of sesame. Journal of Crop Breeding, 9: 77-92 (In Persian).
51. SAS Institute (2008) SAS/STAT User's Guide Version 9.1, SAS Institute, Cary, New York, USA.
52. Shapiro, S.S. and Wilk, M.B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52: 591-611.
53. Shukla, G. (1972). Some statistical aspects of partitioning genotype environmental components of variability. Heredity, 29: 237-245.
54. Singh, B. and Bisen, R. (2020). AMMI analysis of genotype×environment interaction and stability of sesame genotypes. Bangladesh Journal of Botany, 49: 215-221.
55. Tabrizi, H.Z. (2012). Genotype by environment interaction and oil yield stability analysis of six sunflower cultivars in Khoy, Iran. Advances in Environmental Biology, 6: 227-231.
56. Thennarasu, K. (1995). On certain non parametric procedures for studying genotype-environment interactions and yield stabilitiy. M.Sc. Thesis, PJ School, IARI, New Delhi, India.
57. Vaezi, B., Pour-Aboughadareh, A., Mohammadi, R., Mehraban, A., Hossein-Pour, T., Koohkan, E., Ghasemi, S., Moradkhani, H. and Siddique, K.H. (2019). Integrating different stability models to investigate genotype × environment interactions and identify stable and high-yielding barley genotypes. Euphytica, 215: 63.
58. Weiss, E.A. (2000) Oilseed Crops, Blackwell Sc. Ltd, Bodmin, UK.
59. Wricke, G. (1962). Uber eine Methode zur Erfassung der okologischen Streubreite in Feldverzuchen. Z Pflanzenzuchtg, 47: 92-96.
60. Yan, W., Hunt, L., Sheng, Q. and Szlavnics, Z. (2000). Cultivar evaluation and mega-environment investigation based on the GGE biplot. Crop Science, 40: 597-605.
61. Yol, E., Karaman, E., Furat, S. and Uzun, B. (2010). Assessment of selection criteria in sesame by using correlation coefficients, path and factor analyses. Australian Journal of Crop Science, 4: 598-602.
62. Zeinalzadeh-Tabrizi, H. and Mansouri, S. (2020). Identification of adapted genotypes in sesame lines based on multi-trait selection. Journal of Crop Production and Processing, 11: 17-37 ( In Persian).
Send email to the article author

XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Zeinalzadeh-Tabrizi H, Mansouri S, Fallah-Toosi A. Evaluation of Seed Yield Stability of Promising Sesame Lines using Different Parametric and Nonparametric Methods. pgr 2021; 8 (1) :43-60
URL: http://pgr.lu.ac.ir/article-1-215-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