Abstract
Midstalk rot caused by Sclerotinia sclerotiorum is an important disease of sunflower in its main areas of cultivation. The objectives of this study were to (1) verify quantitative trait loci (QTL) for midstalk-rot resistance found in F3 families of the NDBLOSsel × CM625 population in recombinant inbred lines (RIL) derived from the same cross; (2) re-estimate their position and genetic effects; (3) draw inferences about the predictive quality of QTL for midstalk-rot resistance identified in the F3 families as compared to those in the RIL. Phenotypic data for three resistance (leaf lesion, stem lesion, and speed of fungal growth) and two morphological traits (leaf length and leaf length with petiole) were obtained from 317 RIL following artificial infection in field experiments across two environments. For genotyping the 248 RIL, we selected 41 simple sequence repeat (SSR) markers based on their association with QTL for Sclerotinia midstalk-rot resistance in an earlier study. The resistance traits showed intermediate to high heritabilities \({\text{(0}}{\text{.51}} < \hat h^{\text{2}} < {\text{0}}{\text{.79)}}\) and were significantly correlated with each other \({\text{(0}}{\text{.45}} < \hat r_g < {\text{0}}{\text{.78)}}.\)Genotypic correlations between F3 families and the RIL were highly significant and ranged between 0.50 for leaf length and 0.64 for stem lesion. For stem lesion, two genomic regions on linkage group (LG) 8 and LG16 explaining 26.5% of the genotypic variance for Sclerotinia midstalk-rot resistance were consistent across generations. For this trait, the genotypic correlation between the observed performance and its prediction based on QTL positions and effects in F3 families was surprisingly high \((\hat r_g ({\text{M}}_{{\text{iF3}}}, {\text{Y}}_{{\text{iRIL}}}) = {\text{0}}{\text{.53)}}.\)The genetic effects and predictive quality of these two QTL are promising for application in marker-assisted selection to Sclerotinia midstalk-rot resistance.
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References
Austin DF, Lee M, Veldboom LR, Hallauer AR (2000) Genetic mapping in maize with hybrid progeny across testers and generations: grain yield and grain moisture. Crop Sci 40:30–39
Bernardo R (2003) On the effectiveness of early generation selection in self-pollinated crops. Crop Sci 43:1558–1560
Bert P, Jouan F, Tourvieille de Labrouhe D, Seere F, Nicolas P, Vear F (2002) Comparative genetic analysis of quantitative traits in sunflower (Helianthus annuus L.) 1. QTL involved in resistance to Sclerotinia sclerotiorum and Diaporthe helianthi. Theor Appl Genet 105:985–993
Castaño F, Vear F, Tourvieille de Labrouhe D (1993) Resistance of sunflower inbred lines to various forms of attack by Sclerotinia sclerotiorum and relations with some morphological characters. Euphytica 68:85–98
Degener D, Melchinger AE, Gumber RK, Hahn V (1998) Breeding for Sclerotinia resistance in sunflower: a modified screening test and assessment of genetic variation in current germplasm. Plant Breed 117:367–372
Doerge RW, Churchill GA (1996). Permutation tests for multiple loci affecting a quantitative character. Genetics 142:285–294
Gentzbittel L, Mouzeyar S, Badaoui S, Mestries E, Vear F, Tourvieille De Labrouhe D, Nicolas P (1998) Cloning of molecular markers for disease resistance in sunflower, Helianthus annuus L. Theor Appl Genet 96:519–525
Groh S, Gonzalez-de-Leon D, Khairallah MM, Jiang C, Bergvinson D, Bohn M, Hoisington DA, Melchinger AE (1998). QTL mapping in tropical maize: III. Genomic regions for resistance to Diatraea spp. and associated traits in two RIL populations. Crop Sci 38:1062–1072
Haldane JBS (1919) The combination of linkage values, and the calculation of distance between the loci of linked factors. J Genet 8:299–309
Hallauer AR, Miranda JB (1981) Quantitative genetics in maize breeding. Iowa State University Press, Ames
Holm S (1979) A simple sequentially rejective multiple test procedure. Scand J Stat 6:65–70
Jansen RC, Stam P (1994) High resolution of quantitative traits into multiple loci via interval mapping. Genetics 136:1447–1455
Knapp SJ, Stroup WW, Ross WM (1985) Exact confidence intervals for heritability on a progeny mean basis. Crop Sci 25:192–194
Köhler H, Friedt W (1999) Genetic variability as identified by AP-PCR and reaction to mid-stem infection of Sclerotinia sclerotiorum among interspecific sunflower (Helianthus annuus L.) hybrid progenies. Crop Sci 39:1456–1463
Krakowsky MD, Lee M, Woodman-Clikeman WL, Long MJ, Sharopova N (2004) QTL mapping of resistance to stalk tunneling by the European corn borer in RILs of maize population B73 × De811. Crop Sci 44:274–282
Melchinger AE, Utz HF, Schön CC (1998) Quantitative trait locus (QTL) mapping using different testers and independent population samples in maize reveals low power of QTL detection and large bias in estimates of QTL effects. Genetics 149:383–403
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 sunflowers (Helianthus annuus L.) using molecular markers. Mol Breed 4:215–226
Micic Z, Hahn V, Bauer E, Schön CC, Knapp SJ, Tang S, Melchinger AE (2004) QTL mapping of Sclerotinia midstalk rot resistance in sunflower. Theor Appl Genet 109:1474–1484
Micic Z, Hahn V, Bauer E, Melchinger AE, Knapp SJ, Tang S, Schön CC (2005) Identification and validation of QTL for Sclerotinia midstalk rot resistance in sunflower by selective genotyping. Theor Appl Genet (in press)
Miller AJ (1990) Subset selection in regression. Chapman and Hall, London
Mode CJ, Robinson HF (1959) Pleiotropism and genetic variance and covariance. Biometrics 15:518–537
Ooijen JW van, Voorrips RE (2001) joinmap version 3.0: software for the calculation of genetic linkage maps. Plant Research International, Wageningen
Sackston WE (1992) On a treadmill: breeding sunflowers for resistance to disease. Annu Rev Phytopathol 30:529–551
Schön CC, Utz HF, Groh S, Truberg B, Openshaw S, Melchinger AE (2004) QTL mapping based on resampling a vast maize testcross experiment and its relevance to quantitative genetics to complex traits. Genetics 167:485–498
Searle SR (1971) Linear models. Wiley, New York
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
Tourvieille de Labrouhe D, Mestries E, Vear F (1996) Multilocal Sclerotinia sclerotiorum resistance tests. In: Pouzet A (ed) International Sunflower Association (ISA) Symposium I: disease tolerance in sunflower. ISA, Paris, pp 71–76
Utz HF (2000) plabqtl: a computer program for statistical analysis of plant breeding experiments. Institute for Plant Breeding, Seed Science and Population Genetics. University of Hohenheim, Stuttgart, Germany
Utz HF, Melchinger AE (1996) plabqtl: a program for composite interval mapping of QTL. J Quant Trait Loci 2 (http://www.uni-hohenheim.de/~ipspwww/soft.html)
Utz HF, AE Melchinger, CC Schön (2000) Bias and sampling error of the estimated proportion of genotypic variance explained by quantitative trait loci determined from experimental data in maize using cross validation and validation with independent samples. Genetics 154:1839–184
Acknowledgements
The Deutsche Forschungsgemeinschaft (DFG) (Sp292/7-1, Ha2253/3-1) supported this work. The authors thank S. Schillinger, T. Mellin, S. Kaiser, and A. Harmsen for their technical assistance and the staff at the Experimental Station, Eckartsweier, for conducting the field experiments.
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Micic, Z., Hahn, V., Bauer, E. et al. QTL mapping of resistance to Sclerotinia midstalk rot in RIL of sunflower population NDBLOSsel × CM625. Theor Appl Genet 110, 1490–1498 (2005). https://doi.org/10.1007/s00122-005-1984-x
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DOI: https://doi.org/10.1007/s00122-005-1984-x