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QTL analysis of agronomic traits in recombinant inbred lines of sunflower under partial irrigation

  • Haddadi, P. (Laboratoire de Symbiose et Pathologie des Plantes (SP2)) ;
  • Yazdi-Samadi, B. (Agronomy and Plant Breeding Department, Faculty of Agriculture, University of Tehran) ;
  • Naghavi, M.R. (Agronomy and Plant Breeding Department, Faculty of Agriculture, University of Tehran) ;
  • Kalantari, A. (Agronomy and Plant Breeding Department, Faculty of Agriculture, University of Tehran) ;
  • Maury, P. (Agrosystemes et Developpement Territorial, UMR 1248, INRA, INP-ENSAT) ;
  • Sarrafi, A. (Laboratoire de Symbiose et Pathologie des Plantes (SP2))
  • Received : 2010.05.17
  • Accepted : 2010.12.21
  • Published : 2011.04.30

Abstract

The objective of the present research was to map QTLs associated with agronomic traits such as days from sowing to flowering, plant height, yield and leaf-related traits in a population of recombinant inbred lines (RILs) of sunflower (Helianthus annuus). Two field experiments were conducted with well-irrigated and partially irrigated conditions in randomized complete block design with three replications. A map with 304 AFLP and 191 SSR markers with a mean density of 1 marker per 3.7 cM was used to identify QTLs related to the studied traits. The difference among RILs was significant for all studied traits in both conditions. Three to seven QTLs were found for each studied trait in both conditions. The percentage of phenotypic variance ($R^2$) explained by QTLs ranged from 4 to 49%. Three to six QTLs were found for each yield-related trait in both conditions. The most important QTL for grain yield per plant on linkage group 13 (GYP-P-13-1) under partial-irrigated condition controls 49% of phenotypic variance ($R^2$). The most important QTL for 1,000-grain weight (TGW-P-11-1) was identified on linkage group 11. Favorable alleles for this QTL come from RHA266. The major QTL for days from sowing to flowering (DSF-P-14-1) were observed on linkage group 14 and explained 38% of the phenotypic variance. The positive alleles for this QTL come from RHA266. The major QTL for HD (HD-P-13-1) was also identified on linkage group 13 and explained 37% of the phenotypic variance. Both parents (PAC2 and RHA266) contributed to QTLs controlling leaf-related traits in both conditions. Common QTL for leaf area at flowering (LAF-P-12-1, LAF-W-12-1) was detected in linkage group 12. The results emphasise the importance of the role of linkage groups 2, 10 and 13 for studied traits. Genomic regions on the linkage groups 9 and 12 are specific for QTLs of leaf-related traits in sunflower.

Keywords

References

  1. Alza JO, Fernandez-Martinez JM (1997) Genetic analysis of yield and related traits in sunflower (Helianthus annuus L.) in dryland and irrigated environments. Euphytica 95:243-251. https://doi.org/10.1023/A:1003056500991
  2. Bachlava E, Dewey RE, Auclair J, Wang S, Burton JW, Cardinal AJ (2008) Mapping genes encoding microsomal x-6 desaturase enzymes and their cosegregation with QTL affecting oleate content in soybean. Crop Sci 48:640-650. https://doi.org/10.2135/cropsci2007.07.0381
  3. Beavis WD (1994) The power and deceit of QTL experiments: lessons from comparative QTL studies, pp 250-266. In: Wilkinson DB (ed) 49th Annual corn and sorghum Research Conference, Chicago. American Seed Trade Association, Alexandria
  4. Bert PF, Dechamp-Guillaume G, Serre F, Jouan I, de Labrouhe DT, Nicolas P, Vear F (2004) Comparative genetic analysis of quantitative traits in sunflower (Helianthus annuus L.). 3. Characterisation of QTL involved in resistance to Sclerotinia sclerotiorum and Phoma macdonaldii. Theor Appl Genet 109:865-874. https://doi.org/10.1007/s00122-004-1701-1
  5. Ebrahimi A, Maury P, Berger M, Poormohammad Kiani S, Nabipour A, Shariati F, Grieu P, Sarrafi A (2008) QTL mapping of seedquality traits in sunflower recombinant inbred lines under different water regimes. Genome 51:599-615. https://doi.org/10.1139/G08-038
  6. Evans LE (1993) Crop evolution, adaptation and yield. Cambridge University Press, New York.
  7. Flagella Z, Rotunno T, Tarantino E, Di Caterina R, De Caro A (2002) Changes in seed yield and fatty acid composition of high oleic sunflower (Helianthus annuus L.) hybrids in relation to the sowing date and the water regime. Eur J Agron 17:221-230. https://doi.org/10.1016/S1161-0301(02)00012-6
  8. Flores Berrios E, Gentzbittel L, Kayyal H, Alibert G, Sarrafi A (2000a) AFLP mapping of QTLs for in vitro organogenesis traits using recombinant inbred lines in sunflower (Helianthus annuus L.). Theor Appl Genet 101:1299-1306. https://doi.org/10.1007/s001220051610
  9. Flores Berrios E, Sarrafi A, Fabre F, Alibert G, Gentzbittel L (2000b) Genotypic variation and chromosomal location of QTLs for somatic embryogenesis revealed by epidermal layers culture of recombinant inbred lines in the sunflower (Helianthus annuus L.). Theor Appl Genet 101:1307-1312. https://doi.org/10.1007/s001220051611
  10. Flores Berrios E, Gentzbittel L, Mokrani L, Alibert G, Sarrafi A (2000c) Genetic control of early events in protoplast division and regeneration pathways in sunflower. Theor Appl Genet 101: 606-612. https://doi.org/10.1007/s001220051522
  11. Gentzbittel L, Vear F, Zhang Y-X, Berville A, Nicolas P (1995) Development of a consensus linkage RFLP map of cultivated sunflower (Helianthus annuus L.). Theor Appl Genet 90: 1079-1086.
  12. Gimenez C, Fereres E (1986) Genetic variability in sunflower cultivars under drought. II. Growth and water relations. Aust J Agr Res 37:583-597. https://doi.org/10.1071/AR9860583
  13. Herve D, Fabre F, Flores Berrios E, Leroux N, Al Chaarani G, Planchon C, Sarrafi A, Gentzbittel L (2001) QTL analysis of photosynthesis and water status traits in sunflower (Helianthus annuus L.) under greenhouse conditions. J Exp Bot 52:1857-1864. https://doi.org/10.1093/jexbot/52.362.1857
  14. Hugo A, DaMatta Fabio Pinheiro M, Chaves Agnaldo RM, Fontes Elizabeth PB, Loureiro Marcelo E (2004) Drought tolerance in relation to protection against oxidative stress in clone of Coffea canephora subjected to long-term drought. Plant Sci 167: 1307-1314. https://doi.org/10.1016/j.plantsci.2004.06.027
  15. Leon AJ, Andrade FH, Lee M (2003) Genetic analysis of seed oil percentage across generations and environments in sunflower (Helianthus annuus L.). Crop Sci 43:135-140. https://doi.org/10.2135/cropsci2003.0135
  16. Maury P, Berger M, Mojayad F, Planchon C (2000) Leaf water characteristics and drought acclimation in sunflower genotypes. Plant Soil 223:153-160.
  17. Mestries E, Gentzbittel L, Tourvieille de Labrouhe D, Nicolas P, Vear F (1998) Analysis of quantitative trait loci associated with resistance to Sclerotinia sclerotiorum in sunflower (Helianthus annuus L.) using molecular markers. Mol Breeding 4:215-226. https://doi.org/10.1023/A:1009694626992
  18. Micic Z, Hahn V, Bauer E, Schon CC, Melchinger AE (2005) QTL mapping of resistance to Sclerotinia midstalk-rot in RIL of sunflower population NDBLOSsel ${\times}$ CM625. Theor Appl Genet 110:1490-1498. https://doi.org/10.1007/s00122-005-1984-x
  19. Mokrani L, Gentzbittel L, Azanza F, Fitamant L, Al-Chaarani G, Sarrafi A (2002) Mapping and analysis of quantitative trait loci for grain oil and agronomic traits using AFLP and SSR in sunflower (Helianthus annuus L.). Theor Appl Genet 106: 149-156.
  20. Pankovic D, Sakac Z, Kevresan S, Plesnicar M (1999) Acclimation to longterm water deficit in the leaves of two sunflower hybrids: photosynthesis, electron transport and carbon metabolism. J Exp Bot 330:127-138.
  21. Poormohammad Kiani S (2007) Analyse genetique des reponses physiologiques du tournesol (Helianthus annuus L.) soumis a la secheresse. PhD thesis, l'Institut National Polytechnique de Toulouse.
  22. Poormohammad Kiani S, Talia P, Maury P, Grieu P, Heinz R, Perrault A, Nishinakamasu V, Hopp E, Gentzbittel L, Paniego N, Sarrafi A (2007) Genetic analysis of plant water status and osmotic adjustment in recombinant inbred lines of sunflower under two water treatments. Plant Sci 172:773-787. https://doi.org/10.1016/j.plantsci.2006.12.007
  23. Prieto Iosada H (1992) Response to drought conditions of sunflower genotypes differing in yield potential and length of cycle. PhD thesis, University of Cordoba (in Spanish).
  24. Rachid Al-Chaarani G, Roustaee L, Gentzbittel L, Mokrani L, Barrault G, Dechamp-Guillaume G, Sarrafi A (2002) A QTL analysis of sunflower partial resistance to downy mildew (Plasmopara halstedii) and black stem (Phoma macdonaldii) by the use of recombinant inbred lines (RILs). Theor Appl Genet 104:490-496. https://doi.org/10.1007/s001220100742
  25. Rachid Al-Chaarani G, Gentzbittel L, Huang X, Sarrafi A (2004) Genotypic variation and identification of QTLs for agronomic traits using AFLP and SSR in recombinant inbred lines of sunflower (Helianthus annuus L.). Theor Appl Genet 109: 1353-1360. https://doi.org/10.1007/s00122-004-1770-1
  26. Rachid Al-Chaarani G, Gentzbittel L, Wedzony M, Sarrafi A (2005) Identification of QTLs for germination and seedling development in sunflower (Helianthus annuus L.). Plant Sci 169: 221-227. https://doi.org/10.1016/j.plantsci.2005.03.016
  27. Richards RA (2000) Selectable traits to increase crop photosynthesis and yield of grain crops. J Exp Bot 51:447-458. https://doi.org/10.1093/jexbot/51.suppl_1.447
  28. Russel WA (1991) Genetic improvement of maize yields. Adv Agron 46:245-298.
  29. SAS Institute (1996) SAS/STAT user's guide, v.6, 4th edn, vols 1 and 2. SAS Institute, Cary
  30. Tang S, Yu JK, Slabaugh MB, Shintani DK, Knapp SJ (2002) Simple sequence repeat map of the sunflower genome. Theor Appl Genet 105:1124-1136. https://doi.org/10.1007/s00122-002-0989-y
  31. Tezara W, Mitchall V, Driscoll SP, Lawlor DW (2002) Effects of water deficit and its interaction with $CO_2$ supply on the biochemistry and physiology of photosynthesis in sunflower. J Exp Bot 375:1781-1791.
  32. Tuberosa R, Salvi S, Sanguineti MC, Landi P, Maccaferri M, Conti S (2002) Mapping morpho-physiological traits and yield: case studies, shortcoming and perspectives in drought-stressed maize. Ann Bot 89:941-963. https://doi.org/10.1093/aob/mcf134
  33. Wang S, Basten CJ, Zeng ZB (2005) Windows QTL Cartographer V2.5. Department of Statistics, North Carolina State University, Raleigh. Available from http://statgen.ncsu.edu/qtlcart/ WQTLCart.htm 146 Plant Biotechnol Rep (2011) 5:135-146 123

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