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

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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.

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Abbreviations

QTL:

Quantitative trait locus

CIM:

Composite interval mapping

References

  • 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

    Article  Google Scholar 

  • Bachlava E, Dewey RE, Auclair J, Wang S, Burton JW, Cardinal AJ (2008) Mapping genes encoding microsomal ω-6 desaturase enzymes and their cosegregation with QTL affecting oleate content in soybean. Crop Sci 48:640–650

    Article  CAS  Google Scholar 

  • 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

  • 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

    Article  PubMed  CAS  Google Scholar 

  • Ebrahimi A, Maury P, Berger M, Poormohammad Kiani S, Nabipour A, Shariati F, Grieu P, Sarrafi A (2008) QTL mapping of seed-quality traits in sunflower recombinant inbred lines under different water regimes. Genome 51:599–615

    Article  PubMed  CAS  Google Scholar 

  • Evans LE (1993) Crop evolution, adaptation and yield. Cambridge University Press, New York

    Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Gentzbittel L, Vear F, Zhang Y-X, Bervillé A, Nicolas P (1995) Development of a consensus linkage RFLP map of cultivated sunflower (Helianthus annuus L.). Theor Appl Genet 90:1079–1086

    Article  CAS  Google Scholar 

  • Gimenez C, Fereres E (1986) Genetic variability in sunflower cultivars under drought. II. Growth and water relations. Aust J Agr Res 37:583–597

    Article  Google Scholar 

  • Hervé 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

    Article  PubMed  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Maury P, Berger M, Mojayad F, Planchon C (2000) Leaf water characteristics and drought acclimation in sunflower genotypes. Plant Soil 223:153–160

    Article  CAS  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • 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 × CM625. Theor Appl Genet 110:1490–1498

    Article  PubMed  CAS  Google Scholar 

  • 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

    PubMed  CAS  Google Scholar 

  • 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

    Article  Google Scholar 

  • Poormohammad Kiani S (2007) Analyse génétique des réponses physiologiques du tournesol (Helianthus annuus L.) soumis à la sécheresse. PhD thesis, l’Institut National Polytechnique de Toulouse

  • 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

    Article  Google Scholar 

  • 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)

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • 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

    Article  Google Scholar 

  • Richards RA (2000) Selectable traits to increase crop photosynthesis and yield of grain crops. J Exp Bot 51:447–458

    Article  PubMed  CAS  Google Scholar 

  • Russel WA (1991) Genetic improvement of maize yields. Adv Agron 46:245–298

    Article  Google Scholar 

  • SAS Institute (1996) SAS/STAT user’s guide, v.6, 4th edn, vols 1 and 2. SAS Institute, Cary

  • 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

    Article  PubMed  CAS  Google Scholar 

  • Tezara W, Mitchall V, Driscoll SP, Lawlor DW (2002) Effects of water deficit and its interaction with CO2 supply on the biochemistry and physiology of photosynthesis in sunflower. J Exp Bot 375:1781–1791

    Article  Google Scholar 

  • 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

    Article  PubMed  CAS  Google Scholar 

  • 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

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Correspondence to A. Sarrafi.

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Haddadi, P., Yazdi-samadi, B., Naghavi, M.R. et al. QTL analysis of agronomic traits in recombinant inbred lines of sunflower under partial irrigation. Plant Biotechnol Rep 5, 135–146 (2011). https://doi.org/10.1007/s11816-011-0164-5

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