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:: Volume 8, Issue 2 (2022) ::
pgr 2022, 8(2): 117-130 Back to browse issues page
Use of Selection Indices for Improving Grain Yield in Sesame Local Populations
Abdul Karim Tahmasebi , Reza Darvishzadeh , Amir Fayaz Moghaddam , Esmaeil Gholinezhad * , Hossein Abdi
Department of Agricultural Sciences, Payame Noor University, Tehran, Iran , e_gholinejad@pnu.ac.ir
Abstract:   (7272 Views)
The selection of genotypes based on multiple traits is a fundamental issue and an important part of the process of plant breeding. In the present study, the efficiency of selection indices based on phenological, morphological and physiological traits was studied to improve sesame grain yield. The evaluation of 25 sesame populations was realized in a completely randomized design with 10 replications under Urmia conditions in 2017.The results showed that phenotypic and genotypic correlations between grain yield and No. of capsules per plant, No. of grains per capsule, No. of branches, leaf temperature, leaf index and biological weight were positive and significant. By regression and path analysis, the No. of capsules and No. of branches were identified as the variables of the first-order cause and biological weight, harvest index, leaf index, plant height and chlorophyll as the second-order cause variables, among which only plant height had a direct negative effect. In order to obtain selection indices, two optimal and basic methods and ten different vectors of economic values of traits were used. The vectors were based on the analysis of correlation, regression, path and broad sense heritability. The third and fourth indices, in which the first-order cause entered the model, showed high relative efficiency and in terms of these two indices, and the sesame populations with code number of 12, 17, 18 and 19 populations were identified as the most desirable populations. Finally, it is suggested that the efficiency of these selection indices be evaluated in the field
Keywords: Path analysis, Regression, Selection indices, Indirect selection, Trait’s correlation
Full-Text [PDF 1588 kb]   (1302 Downloads)    
Type of Study: Research | Subject: Molecular genetics
References
1. Ahmadpour, S., Darvishzadeh, R. and Sofalian, O. (2018). Selection indices for yield improvement of sunflower under normal and salt stress conditions. Journal of Crop Breeding, 10(25): 91-100 (In Persian). [DOI:10.29252/jcb.10.25.91]
2. Akhtar, K.P., Sarwar, G., Dickinson, M., Ahmad, M., Haq, M.A., Hameed, S. and Iqbal, M.J. (2009). Sesame phyllody disease: its symptomatology, etiology, and transmission in Pakistan. Turkish Journal of Agriculture and Forestry, 33(5): 477-486.
3. Alipour, H., Abdi, H. and Bihamta, M.R. (2021). Path analysis of wheat grain yield with overcoming multi-collinearity of traits. Journal of Crop Breeding, 13(39): 122-129 (In Persian).
4. Anilakumar, K.R., Pal, A., Khanum, F. and Bawa, A.S. (2010). Nutritional, medicinal and industrial uses of sesame (Sesamum indicum L.) seeds - an overview. Agriculturae Conspectus Scientificus, 75(4): 159-168.
5. Askari, A., Zabet, M., Ghaderi, M.G., Samadzadeh, A.R. and Shorvazdi, A. (2016). Choose the most important traits affecting on yield of some sesame genotypes (Sesamum indicum L.) in normal and stress conditions. Journal of Crop Breeding, 8(18): 78-87 (In Persian). [DOI:10.29252/jcb.8.18.78]
6. Baker, R.J. (1986). Selection Indices in Plant Breeding. CRC Press, Boca Raton, Florida, USA.
7. Baker, R.J. (1993). Breeding methods and selection indices for improved tolerance to biotic and abiotic stresses in cool season food legumes. Euphytica, 73(1-2): 67-72. [DOI:10.1007/BF00027183]
8. Bos, I. and Caligari, P. (2007). Selection Methods in Plant Breeding. 2nd Edn. Springer, Berlin, DE. [DOI:10.1007/978-1-4020-6370-1]
9. Boureima, S. and Yaou, A. (2019). Genotype by yield*trait combination biplot approach to evaluate Sesame genotypes on multiple traits basis. Turkish Journal of Field Crops, 24(2): 237-244. [DOI:10.17557/tjfc.655165]
10. Boureima, S., Diouf, S., Amoukou, M. and Van Damme, P. (2016). Screening for sources of tolerance to drought in sesame induced mutants: Assessment of indirect selection criteria for seed yield. International Journal of Pure and Applied Bioscience, 4(1): 45-60. [DOI:10.18782/2320-7051.2218]
11. Brim, C.A., Johnson, H.W. and Cockerham, C.C. (1959). Multiple selection criteria in soybeans. Agronomy Journal, 51(1): 42-46. [DOI:10.2134/agronj1959.00021962005100010015x]
12. Da Silva, A.R., Malafaia, G. and Menezes, I.P.P. (2017). Biotools: an R function to predict spatial gene diversity via an individual-based approach. Genetics and Molecular Research, 16(2): 1-6. [DOI:10.4238/gmr16029655]
13. Dossa, K., Wei, X., Niang, M., Liu, P., Zhang, Y., Wang, L., Liao, B., Cissé, N., Zhang, X. and Diouf, D. (2018). Near-infrared reflectance spectroscopy reveals wide variation in major components of sesame seeds from Africa and Asia. The Crop Journal, 6(2): 202-206. [DOI:10.1016/j.cj.2017.10.003]
14. Dossa, K., Yehouessi, L.W., Likeng-Li-Ngue, B.C., Diouf, D., Liao, B., Zhang, X., Cissé, N. and Bell, J.M. (2017). Comprehensive screening of some west and central African sesame genotypes for drought resistance probing by agro-morphological, physiological, biochemical and seed quality traits. Agronomy, 7(4): 83. [DOI:10.3390/agronomy7040083]
15. Farahbakhsh, S. and Farahbakhsh, H. (2014). Effect of drought stress on yield and yield components of sesame cultivars under Kerman conditions (Sesamum indicum L.). Iranian Journal of Field Crops Research, 12(4): 776-783 (In Persian).
16. Fazlalipour, M., Rabiei, B., Samizadeh Lahiji, H. and Rahim Soroush, H. (2008). Multi-trait selection for screening elite genotypes of an F2 rice population. Journal of Water and Soil Science, 11(42): 41-52 (In Persian).
17. Gholinezhad, E. and Darvishzadeh, R. (2018). Investigation the drought tolerance of sesame (Sesamium indicum L.) local landraces based on drought stress tolerance indices in different levels of irrigation and mycorrhizae. Journal of Crop Breeding, 10(26): 185-194 (In Persian). [DOI:10.29252/jcb.10.26.185]
18. Gholinezhad, E. and Darvishzadeh, R. (2020). Path analysis of effective traits on oil and protein yield in sesame genotypes under different moisture conditions and mycorrhiza utilization. Iranian Journal of Field Crop Science, 51(1): 177-194 (In Persian).
19. Hazel, L.N. (1943). The genetic basis for constructing selection indexes. Genetics, 28(6): 476-490. [DOI:10.1093/genetics/28.6.476]
20. Khavari Khorasani, S. and Mahdipoor, A. (2018). Genetic improvement of grain yield by determination of selection index in single cross hybrids of maize (Zea mays L.). Plant Genetic Researches, 5(1): 1-18 (In Persian). [DOI:10.29252/pgr.5.1.1]
21. Li, D., Dossa, K., Zhang, Y., Wei, X., Wang, L., Zhang, Y., Liu, A., Zhou, R. and Zhang, X. (2018). GWAS uncovers differential genetic bases for drought and salt tolerances in sesame at the germination stage. Genes, 9(2): 87. [DOI:10.3390/genes9020087]
22. Mansouri, S. and Soltani Najafabadi, M. (2004). Study and systemic analysis on yield and yield components association for sesame (Sesamum indicum L.) Breeding. Seed and Plant Improvement Journal, 20(2): 149-165 (In Persian).
23. Masoudi, B. (2019). An evaluation of the relationship between seed yield and oil percentage with some important agronomic traits in sesame by using path analysis and principal component analysis. Iranian Journal of Field Crops Research, 17(1): 99-110 (In Persian).
24. Mohammadi, R., Geravandi, M., Haghparast, R., Rajabi, R., Abdulahi, A., Mahmodi, F., Malekhosseini, R., Yarkarami, K. and Shahsavari, B. (2020). Study of grain yield and agro-physiological characteristics of some promising rainfed bread wheat genotypes under no-till condition. Journal of Crop Breeding, 11(32): 207-217 (In Persian). [DOI:10.29252/jcb.11.32.207]
25. Pesek, J. and Baker, R.J. (1969). Desired improvement in relation to selection indices. Canadian Journal of Plant Science, 49(6): 803-804. [DOI:10.4141/cjps69-137]
26. Rabiei, B., Valizadeh, M., Ghareyazie, B. and Moghaddam, M. (2004). Evaluation of selection indices for improving rice grain shape. Field Crops Research, 89(2-3): 359-367. [DOI:10.1016/j.fcr.2004.02.016]
27. Rahimi, M. and Rabiei, B. (2011). The application of selection indices on improvement of grain yield in rice (Oryza sativa L.). Agronomy Journal (Pajouhesh & Sazandegi), 90: 39-49 (In Persian).
28. Ramazani, S.M.R. and Mansouri, S. (2017). Relationships of quantitative traits in advanced lines of Sesame. Journal of Crop Breeding, 9(23): 58-66 (In Persian). [DOI:10.29252/jcb.9.23.58]
29. Sabouri, H., Biabani, A., Fazlalipour, M. and Sabouri, A. (2010). Determination of best selection indices for facilitating selection in rice. Journal of Plant Production, 17(4): 1-25 (In Persian).
30. Sabouri, H., Mohammadinejad, G. and Fazlalipour, M. (2012). Selection for yield improvement using of multivariate statistical methods. Iranian Journal of Field Crops Research, 9(4): 639-650 (In Persian).
31. Salehi, M. and Saeidi, G. (2013). Selection indices for seed yield improvement in sesame (Sesamum indicum L.). Iranian Journal of Field Crops Research, 10(4): 667-673 (In Persian).
32. Saljooghianpour, M. and Javadzadeh, S.M. (2018). Morpho-agronomical diversity in some sesame (Sesamum indicum L.) cultivars under drought stress conditions. Asian Journal of Advances in Agricultural Research, 6(4): 1-8. [DOI:10.9734/AJAAR/2018/41599]
33. Smith, H.F. (1936). A discriminant function for plant selection. Annals of Eugenics, 7(3): 240-250. [DOI:10.1111/j.1469-1809.1936.tb02143.x]
34. Tahmasebi, A.K., Darvishzadeh, R., Fayaz Moghaddam, A., Gholinezhad, E. and Abdi, H. (2021). Phenotypic variation of indigenous sesame landraces in Urmia climate. Journal of Crop Breeding, 12(36): 30-38 (In Persian).
35. Yan, W. (2014). Crop Variety Trials: Data Management and Analysis. John Wiley & Sons Inc., New York, USA. [DOI:10.1002/9781118688571]
36. Yan, W., Frégeau-Reid, J. (2018). Genotype by yield*trait (gyt) biplot: a novel approach for genotype selection based on multiple traits. Scientific Reports, 8(1): 1-10. [DOI:10.1038/s41598-018-26688-8]
37. Zeinali, H., Mir Elahi, A. and Safaei, L. (2006). Evaluation of relationship between grain yield and yield components in sesame (Sesamum indicum L.). Journal of Research in Agricultural Science, 2(1): 1-9 (In Persian). [DOI:10.4314/jost.v1i2.17522]
38. Zeinalzadeh-Tabrizi, H., Mansouri, S. and Fallah-Toosi, A. (2021). Evaluation of seed yield stability of promising sesame lines using different parametric and nonparametric methods. Plant Genetic Researches, 8(1): 43-60 [DOI:10.52547/pgr.8.1.4]
39. Zhou, R., Dossa, K., Li, D., Yu, J., You, J., Wei, X. and Zhang, X. (2018). Genome-wide association studies of 39 seed yield-related traits in sesame (Sesamum indicum L.). International Journal of Molecular Sciences, 19(9): 2794. [DOI:10.3390/ijms19092794]
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Tahmasebi A K, Darvishzadeh R, Fayaz Moghaddam A, Gholinezhad E, Abdi H. Use of Selection Indices for Improving Grain Yield in Sesame Local Populations. pgr 2022; 8 (2) :117-130
URL: http://pgr.lu.ac.ir/article-1-226-en.html


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Volume 8, Issue 2 (2022) Back to browse issues page
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