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. Akbari, N. and Darvishzadeh, R. (2023). Identification of IRAP markers associated with agromorphological traits in oil seed sunflower (Helianthus annuus L.) under normal and water limited conditions. Cellular and Molecular Research (Iranian Journal of Biology), 4(36): 343-357 (In Persian). 3. Andrade, A.C.B., Silva, A.J., Ferraudo, A.S., Unêda-Trevisoli, S.H. and Mauro, A.S. (2016). Strategies for selecting soybean genotypes using mixed models and multivariate approach. African Journal of Agricutural Research, 11: 23-31. 4. Barth, E., de Resende, J.T.V., Mariguele, K.H., de Resende, M.D.V., da Silva, A.L.B.R. and Ru, S. (2022). Multivariate analysis methods improve the selection of strawberry genotypes with low cold requirement. Scientific Reports, 12:11458. [ DOI:10.1038/s41598-022-15688-4] 5. Bernardo, R. (2010). Breeding for Quantitative Traits in Plants. Woodbury: Stemma Press, Minnesota, USA. 6. Baker, R.J. (1986). Selection Indices in Plant Breeding: CRC Press, Inc. Boca Raton, Florida, USA. 7. Brim, C.A., Johnson, H.W. and Cockerham, C.C. (1959). Multiple selection criteria in soybeans. Agronomy Journal, 51: 42-46. [ DOI:10.2134/agronj1959.00021962005100010015x] 8. Charles, B. and Heiser, Jr. (1955). The origin and development of the cultivated sunflower, university of California press on behalf of the national association of biology teachers. The American Biology Teacher, 17(5): 161-167. [ DOI:10.2307/4438706] 9. Carvalho, A.D.F., Nogueira, M.T.M., Silva, G.O., Luz, J.M.Q., Maciel, G.M. and Rabelo, P.G. (2017). Seleção de genótipos de cenoura para caracteres fenotípicos de raiz. Horticultura Brasileira, 35: 97-102. [ DOI:10.1590/s0102-053620170115] 10. Crispim‐Filho, A.J., Dos Santos, F.P., Pinto, J.F.N., Melo, P.G.S., Dos Reis, E.F. and Mendes‐Resende, M.P. (2020). Dealing with multiple traits in maize: A new approach for selecting progenies. Crop Science, 60(6): 3151-3165. [ DOI:10.1002/csc2.20292] 11. Dovale, J.C., Fritsche-Neto, R. and Silva, P.S.L. (2011). Índice de seleção para cultivares de milho com dupla aptidão: minimilho e milho verde. Bragantia, 70: 781-787. [ DOI:10.1590/S0006-87052011000400008] 12. Ebrahimian, E., Seyyedi, S.M., Bybordi, A. and Damalas, C.A. (2019). Seed yield and oil quality of sunflower, safflower, and sesame under different levels of irrigation water availability. Agricultural Water Management, 218: 149-157. [ DOI:10.1016/j.agwat.2019.03.031] 13. Falconer, D.S. and Mackay, T.F.C. (1996). Introduction to Quantitative Genetics. Longmans Green, Harlow, Essex, UK. 14. Falconer, D.S., Mackay, T.F. and Frankham R. (1996). Introduction to Quantitative Genetics (4th ed.). Trends in Genetics, 12(7): 280. [ DOI:10.1016/0168-9525(96)81458-2] 15. Fernandez, O., Urrutia, M., Berton, T., Bernillon, S., Deborde, C., Jacob, D., Maucourt, M., Maury, P., Durufé, H., Gibon, Y., Langlade, N.B. and Moing, A. (2019). Metabolomic characterization of sunfower leaf allows discriminating genotype groups or stress levels with a minimal set of metabolic markers. Metabolomics, 15: 56. [ DOI:10.1007/s11306-019-1515-4] 16. Hashemzehi, M., Moradgholi, A. and Ghasemi, A. (2013). Evaluation of responses of mung bean (Vigna radiata) genotypes to drought stress using different stress tolerance indices. Journal of Crop Breeding, 5(12): 112-122 (In Persian). 17. Hazel, L.N. and Lush, J.L. (1942). The Efficiency of Three Methods of Selection. Journal of Heredity, 33(11): 393-399. [ DOI:10.1093/oxfordjournals.jhered.a105102] 18. Hazel, L.N. (1943). The genetic basis for constructing selection indices. Genetics, 28: 476-490. [ DOI:10.1093/genetics/28.6.476] 19. Kang, M. (1994). Applied Quantitative Genetics. Kang. In: MS Publisher, Baton Rouge, LA, USA. 20. Khavari Khorasani, S. and Mahdi Poor, 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. Leilah, A.A. and Al-Khateeb, S.A. (2005). Statistical analysis of wheat yield under drought conditions. Journal of Arid Environments, 61: 483-96. [ DOI:10.1016/j.jaridenv.2004.10.011] 22. Li, Z., Xiang, F., Huang, X., Liang, M., Ma, S., Gafurov, K., Gu, F., Guo, Q. and Wang, Q. (2024). Properties and Characterization of Sunflower Seeds from Different Varieties of Edible and Oil Sunflower Seeds. Foods, 13: 1188. [ DOI:10.3390/foods13081188] 23. Lima, V.J., Freitas Junior, S.P., Souza, Y.P. Silva, C.S. Farias, J.E.C., Souza, R.F., Chaves, M.M. and Feitosa, J.V. (2018). Genetic gain capitalization in the first cycle of recurrent selection in popcorn at Ceará's Cariri. Revista Brasileira de Ciências Agrárias, 13: e5556. [ DOI:10.5039/agraria.v13i3a5556] 24. Marhtwe, N., Aye, M. and Nyein Thu, M. (2020). Selection index for yield and yield contributing traits inimproved rice genotypes. International Journal of Environmental and Rural Development, 11(2): 86-91. 25. Pesek, J. and Baker, R. (1970). An application of index selection to the improvement of self-pollinated species. Canadian Journal of Plant Science, 50(3): 267-276. [ DOI:10.4141/cjps70-051] 26. Radanovíc, A., Miladinovic, D., Cvejic, S., Jockovic, M. and Jocic, S. (2018). Sunflower Genetics from Ancestors to Modern Hybrids-A Review. Genes, 9: 528. [ DOI:10.3390/genes9110528] 27. Rahimi, M. and Rabiei, B. (2011). The application of selection indices improvement of grain yield hn rica(Oriza sativa). Agronomy Journal (Pajouhash and Sazandegi), 90: 39-46 (In Persian). 28. Rana, M., Sood, A., Hussain, W., Kaldate, R., Sharma, T.R., Gill, R.K., Kumar, S. and Singh, S. (2019). Gene pyramiding and multiple character breeding (Chapter 6). In: Mohar Singh, M., Ed., Lentils, pp. 83-121. Headquarters location, Cambridge, Massachusetts, USA. [ DOI:10.1016/B978-0-12-813522-8.00006-6] 29. Raza, A., Mubarik, M.S., Sharif, R., Habib, M., Jabeen, W., Zhang, C., Chen, H., Chen, Z.H., Siddique, K.H.M., Zhuang, W. and Varshney, R.K. (2023). Developing drought-smart, ready to grow future crops. Plant Genome, 10: e20279. [ DOI:10.1002/tpg2.20279] 30. Rauf, S. (2008). Breeding sunflower (Helianthus annuus L.) for drought tolerance. Commun. Biometry Crop Science, 3: 29-44. 31. Robinson, H.F., Comstock, R.E. and Harvey, P.H. (1951). Genotypic and phenotypic correlation and their implications in selection. Agronomy Journal, 43: 282-287. [ DOI:10.2134/agronj1951.00021962004300060007x] 32. Seiler, G.J., Qi, L.L. and Marek, L.F. (2017). Utilization of sunflower crop wild relatives for cultivated sunflower improvement. Crop Science, 57: 1083-1101. [ DOI:10.2135/cropsci2016.10.0856] 33. Shiri, M. and Ebrahimi, L. (2018). Comprehensive SAS code for computing several selection indices. Journal of Crop Improvement, 32(2): 225-238. [ DOI:10.1080/15427528.2017.1407855] 34. 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] 35. Tahmasbali, M., Darvishzadeh, R. and Fayaz Moghaddam, A. (2021). Evaluation of oriental tobacco (Nicotiana tabacum L.) genotypes using selection indices under the presence and absence of broomrape. Iranian Journal of Field Crop Science, 52(3): 189-20 (In Persian). 36. Tahmasebi, A., Darvishzadeh, R., Fayaz Moghadam, A., Gholinejhad, E. and Abdi, H. (2022). Using selection indices to improve seed yield in native sesame stands. Plant Genetic Researches, 8(2): 117-130 (In Persian). [ DOI:10.52547/pgr.8.2.9] 37. Williams, J.S. (1962).The evaluation of a selection index. Biometrics, 18: 375-393.
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