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:: Volume 9, Issue 1 (2022) ::
pgr 2022, 9(1): 57-70 Back to browse issues page
Estimation of Genetic Variance Components of Sunflower Fatty Acids Under Normal irrigation and Drought Stress Conditions Using Line × Tester Method
Seyede Sharare Arianezhad , Hamid Hamid Najafi Zarini * , Mehdi Ghaffari , Gholamali Ranjbar
Department of Plant Breeding, Agricultural Sciences and Natural Resources University, Mazandaran, Sari, Iran , h.najafi@sanru.ac.ir
Abstract:   (3873 Views)

This research was carried out to estimate the genetic variance components for sunflower fatty acids in two separate optimum and drought stressed conditions in Karaj during 2020 and 2021 growing seasons. The plant materials consisted of 12 hybrids derived from crossing of four restorer lines by three cytoplasmic male sterile lines (Testers) that were evaluated in two separate experiments as randomized complete block design with three replications. Drought stress made a reduction in oil yield (34 percent), oil content (six percent), stearic acid (4.7 percent) and oleic acid (10.6 percent) and an increase in palmitic acid (12 percent) and linoleic acid (2.8 percent). Line × tester interaction effect had a major role in explanation of the variance of the hybrids in terms of fatty acid content in both conditions, indicating the critical role of non-additive effects in genetic control of these traits. Under optimum irrigation, oil yield, oil content and stearic acid content were under control of both additive and dominant gene action and palmitic, oleic and linoleic acids were under control of dominant gene action. Under drought stress, except oil content which was under control of additive effects, all the other traits were under control of dominant gene action. According to the results of this study, fatty acid composition of sunflower was under control of non-additive genetic effects and the crossing-based methods and hybrid breeding could be used for improvement of sunflower in terms of fatty acid composition.
Keywords: Additive effect, Dominance, Line, Linoleic, Oleic, Tester
Full-Text [PDF 490 kb]   (854 Downloads)    
Type of Study: Research | Subject: Plant improvement
References
1. Abd El-Satar, M.A. (2017). Genetic analysis of half diallel matting with different methods and their comparisons for yield and its associated traits in sunflower under saline soil stress conditions. Helia, 40(66): 85-114. [DOI:10.1515/helia-2017-0001]
2. Akcay, S. and Dagdelen, N. (2016). Water use efficiency, yield and yield components of second crop sunflower under deficit irrigation. Turkish Journal of Field Crops, 21: 190-199. [DOI:10.17557/tjfc.05690]
3. Ali, Q., Ashraf, M. and Anwar, F. (2009). Physico-chemical attributes of seed oil from drought stressed sunflower (Helianthus annuus L.) plants. Grasas Y aceites, 60(5): 477-483. [DOI:10.3989/gya.021009]
4. Anastasi, U., Santonoceto, C., Giuffre, A., Sortino, O., Gresta, F. and Abbate, V. (2010). Yield performance and grain lipid composition of standard and oleic sunflower as affected by water supply. Field Crops Research, 119: 145-153. [DOI:10.1016/j.fcr.2010.07.001]
5. Azadmard-Damirchi, S. and Dutta, P.C. (2006). Novel solid-phase extraction method to separate 4-desmethyl-, 4-monomethyl-, and 4, 40-dimethylsterols in vegetable oils. Journal of Chromatography A, 1108: 183-187. [DOI:10.1016/j.chroma.2006.01.015]
6. Baldini, M., Giovanardi, R. and Vannozzi, G. (2000). Effect of different water availability on fatty acid composition of the oil in standard and high oleic sunflower hybrids. 15th International Sunflower Conference, Toulouse, France.
7. Banaei, R., Baghizadeh, A., and Khavari Khorasani, S. (2016). Estimates of genetic variance parameters and general and specific combining ability of morphological traits, yield and yield components of maize hybrids in normal and salt stress conditions. Plant Genetic Researches, 3(1): 57-74 (In Persian). [DOI:10.29252/pgr.3.1.57]
8. Barzgari, A., Malekzade Shafaroudi, S., and Khavari Khorasani, S. (2022). Study on combining ability and gene effects estimation in some sweet corn inbred lines (Zea mays L. var saccarata) by line× tester method. Plant Genetic Researches, 8(2): 131-142 (In Persian). [DOI:10.52547/pgr.8.2.10]
9. Chahal, R.K., Dhillon, S.K., Kandhola, S.S., Kaur G., Kaila V. and Tyagi. V. (2019). Magnitude and nature of gene effects controlling oil content and quality components in sunflower (Helianthus annuus L.). Helia, 42(70): 73-84. [DOI:10.1515/helia-2018-0006]
10. Chimenti, C., Pearson, J. and Hall, A. (2002). Osmotic adjustment and yield maintenance under drought in sunflower. Field Crops Research, 75: 235-246. [DOI:10.1016/S0378-4290(02)00029-1]
11. Demurin, Y., Skoric D., Vorosbaranyi, I. and Jocic S. (2000). Inheritance of increased high oleic acid content in sunflower seed oil. Helia, 23(32): 87-92.
12. FAO. (2020). Agricultural Production Year Book. Rome. Italy. Available at: http://faostat3.fao.org.
13. Flagella, Z., Rotunno, T., Tarantito, E., Caterina, R.D. and Caro, A.D. (2002). Changes in seed yield and oil fatty acid composition of high oleic sunflower (Helianthus annuus L.) hybrids in relation to the sowing date and the water regime. European Journal of Agronomy, 17: 221-230. [DOI:10.1016/S1161-0301(02)00012-6]
14. Gangappa, E., Channakishnaiah, K.M., Harini, M.S. and, Ramesh, S. (1997). Studies on combining ability in sunflower (Helianthus annuus L.). Helia, 20(27): 73-84.
15. Ghaffari, M. and Shariati, F. (2018). Combining ability of sunflower inbred lines under drought stress. Helia, 41(69): 201-212. [DOI:10.1515/helia-2017-0009]
16. Ghaffari, M., Andarkhor, S., Homayonifar, M., Kalantar Ahmadi, S., Shariati, F., Jamali, H. and Rahmanpour, S. (2020). Agronomic attributes and stability of exotic sunflower hybrids in Iran. Helia, 43(72): 67-81. [DOI:10.1515/helia-2020-0004]
17. Ghaffari, M., Toorchi, M., Valizadeh, M. and Shakiba, M.R. (2012). Morpho-physiological screening of sunflower inbred lines under drought stress condition. Turkish Journal of Field Crops, 17(2): 185-190.
18. Haddadan, A.Z., Ghaffari, M., Hervan, E.M. and Alizadeh, B. (2020) Impact of parent inbred lines on heterosis expression for agronomic characteristics in sunflower. Czech Journal of Genetics and Plant Breeding, 56(3): 123-132. [DOI:10.17221/100/2019-CJGPB]
19. Hassan, A.M. and Mohamed, H.E. (2019). l- Arginine Pretreatment Enhances Drought Resistance of Sunflower (Helianthus annuus L.) Plants by Increase in Polyamines Content, Journal of Plant Growth Regulation, 38(2): 600-605. [DOI:10.1007/s00344-018-9873-0]
20. Hussain, M., Farooq, S., Hasan, W., Ul-Allah, S., Tanveer, M., Farooq, M. and Nawaz, A. (2018). Drought stress in sunflower: Physiological effects and its management through breeding and agronomic alternatives. Agricultural Water Management, 201: 152-166. [DOI:10.1016/j.agwat.2018.01.028]
21. Ivanov, P., Petakov, D., Nikolova V. and Pentchev, E. (1988). Sunflower breeding for high palmitic acid content in the oil. 12th International Sunflower Conference, Novi Sad, Yugoslavia, Serbia.
22. Jockovic, M., Cvejic, S., Jocic, S., Marjanovic-Jeromela, A., Miladinovic, D., Jockovic, B., Miklic, V. and Radic, V. (2019). Evaluation of sunflower hybrids in multi-environment trial (MET). Turkish Journal of Field Crops, 24: 202-210.
23. Joksimovic, J., Atlagic, J., Marinkovic, R. and Jovanović, D. (2006). Genetic control of oleic and linoleic acid contents in sunflower. Helia, 29: 33-40. [DOI:10.2298/HEL0644033J]
24. Knowles, P.F. (1988). Recent advances in oil crops breeding. Proceeding of the World Conference on Biotechnology for the Fats and Oil Industry. American Oil Chemists Society, Illinois, USA.
25. Leon, A.J., Andrade, F.H. and Lee, M. (2003). Genetic analysis of seed oil concentration and environments in sunflower. Crop Science, 43: 135-140. [DOI:10.2135/cropsci2003.1350]
26. Memon, S., Baloch, M.J., Baloch, G.M. and Jatoi, W.A. (2015). Combining ability through line × tester analysis for phenological, seed yield, and oil traits in sunflower (Helianthus annuus L.). Euphytica, 204: 199-209 [DOI:10.1007/s10681-015-1368-5]
27. Miller, J.F. and Vick, B.A. (1999). Registration of three low palmitic acid and five low stearic acid sunflower genetic stocks. Crop Science, 39(1): 305-306. [DOI:10.2135/cropsci1999.0011183X003900010080x]
28. Neelima, S. and Parameshwarappa, K.G. (2017). Stability of single and three-way cross hybrids for seed yield and other important agronomic traits in sunflower (Helianthus annuus L.). Helia, 40(67): 197-210. [DOI:10.1515/helia-2016-0020]
29. Ortis, L., Nestares, G., Frutos, E. and Machado, N. (2005). Combining ability analysis for agronomic traits in sunflower (Helianthus annuus L.). Helia, 28: 125-134. [DOI:10.2298/HEL0543125O]
30. Perez-Vich, B., Fernandez-Martínez, J., Grondona, M., Knapp, S.J. and Berry, S.T. (2002). Stearoyl-ACP and oleoyl-PC desaturase genes co-segregate with quantitative trait loci underlying high stearic and high oleic acid mutant phenotypes in sunflower. Theoretical Applied Genetic, 104(2-3): 338-349. [DOI:10.1007/s001220100712]
31. Petcu, E., Arsintescu, A. and Stanciu, D. (2001). The effect of drought stress on fatty acid composition in some Romanian sunflower hybrids. Romanian Agricultural Research, 15: 39-43.
32. Popa, M., Anton, G.F., Rişnoveanu, L., Petcu, E. and Babeanu, N. (2017). The effect of planting date and climatic condition on oil content and fatty acid composition in some Romanian sunflower hybrids. AgroLife Scientific Journal, 6: 212-221.
33. Robinson, R.G. (1997). Production and culture. In: Schneiter A.A., (ed.). Sunflower Science and Technology, pp. 55-87. Agronomy Monograph, ASA Inc, Madison, USA.
34. Sakthivel, K. (2003). Line × tester analysis for combining ability in kharif sunflower (Helianthus annuus L.). Journal of Ecobiology, 15(4): 299-304.
35. Schneiter, A. and Miller, J. (1981). Description of sunflower growth stages. Crop Science, 21: 901-903. [DOI:10.2135/cropsci1981.0011183X002100060024x]
36. Seiler, G.J. (2007). The potential of wild sunflower species for industrial uses. Helia, 30: 175-198. [DOI:10.2298/HEL0746175S]
37. Shekar, G.C., Jayaramafah, H., Virupakshappa, K. and Jagadeesh, B.N. (1998). Combining ability of high oleic acid in sunflower. Helia, 21(28): 7-14.
38. Singh, R.K. and Chaudhary, B.D. (1985). Biometrical Techniques in Breeding and Genetics. Kalyani Publishers, New Delhi, IND.
39. Skoric, D. (2012). The genetics of sunflower. In: Skoric, D., Seiler, G., Liu, Z., Jan, C.C., Miller, J.F. and Charlet, L.D. (Eds.). Sunflower Genetics and Breeding. pp. 102-128. Serbian Academy of Science and Arts, Novi Sad, CS.
40. Smith, S.A., King, R.E. and Min, D.B. (2007). Oxidative and thermal stabilities of genetically modified high oleic sunflower oil. Food Chemistry, 102: 1208-1213. [DOI:10.1016/j.foodchem.2006.06.058]
41. Tan, A.S. (2010). Study on the determination of combining abilities of inbred lines for hybrid breeding using line× tester analysis in sunflower (Helianthus annuus L.). Helia, 33(53): 131-148. [DOI:10.2298/HEL1053131T]
42. Todorovic, M., Albrizio, R., Zivotic, L., Saab, M.T.A., Stöckle, C. and Steduto, P. (2009). Assessment of AquaCrop, CropSyst, and WOFOST models in the simulation of sunflower growth under different water regimes. Agronomy Journal, 101: 509-521. [DOI:10.2134/agronj2008.0166s]
43. Tyagi, V., Dhillon, S.K. and Kaur, K. (2020). Gene action for oil content and quality in diverse cytoplasmic sources in sunflower under varied moisture environments. Helia, 43(73): 151-166. [DOI:10.1515/helia-2020-0020]
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Arianezhad S S, Hamid Najafi Zarini H, Ghaffari M, Ranjbar G. Estimation of Genetic Variance Components of Sunflower Fatty Acids Under Normal irrigation and Drought Stress Conditions Using Line × Tester Method. pgr 2022; 9 (1) :57-70
URL: http://pgr.lu.ac.ir/article-1-242-en.html


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Volume 9, Issue 1 (2022) Back to browse issues page
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