Erratum to: Differential influence of QTL linked to Fusarium head blight, Fusarium-damaged kernel, deoxynivalenol contents and associated morphological traits in a Frontana-derived wheat population

Szabó-Hevér, Ágnes; Lehoczki-Krsjak, Szabolcs; Varga, Mónika; Purnhauser, L.; Pauk, János; Lantos, Csaba; Mesterházy, Ákos

doi:10.1007/s10681-014-1229-7

Cited by 30 publications

(43 citation statements)

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“…Since different ripening groups are involved in different ways, and genotype differences might also be present, results which diverge often may be able to be interpreted. However, there is a genetic cause: in the QTL analyses we found [13] [14] that QTLs were identified in Frontana populations being responsible for either the FHB or FDK reactions, or both. We do not know what the genetic function of the QTLs is, but QTLs with a different effect can be responsible for such deviations.…”

Section: Resistance Types and Selection Criteriamentioning

confidence: 79%

“…In another test MAS was more effective [69], but plant height interfered with the Qfhs.lX-6ALQTL. LOD values of QTLs is generally low [13] [71], even in some cases higher LOD values were achieved [14]. For the reasons, the phenotypic selection will be the decisive screening method for FHB as this can integrate known and unknown QTLs with their unknown interactions.…”

Section: Breeding Aspectsmentioning

confidence: 99%

“…Genetic studies underline the complexity of the resistance. The rare QTL analyses by testing all traits (FHB, FDK, DON) clearly show that some QTLs determine resistance to FHB, FDK or DON, or their combination [12]- [14]. The validation of the QTLs has not always been successful, for example, the Arina studies showed a high number of QTLs in three different populations, but only the QTL for the Rht-D1 gene co-localizing with a Fusarium QTL was shown to be common [15]- [17].…”

Section: Introductionmentioning

confidence: 99%

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Breeding for FHB Resistance via Fusarium Damaged Kernels and Deoxynivalenol Accumulation as Well as Inoculation Methods in Winter Wheat

Mesterházy¹,

Lehoczki-Krsjak²,

Varga³

et al. 2015

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FHB is one of the most destructive diseases of wheat. Resistance testing depends strongly on inoculation methods, and on measured traits. Therefore a four-year (2009-2012) study was performed using spray inoculation + polyethylene (PE) bag cover, spray inoculation + mist irrigation, and spawn method supported by mist irrigation on 40 genotypes, 20 from Hungary and 20 from IFA Tulln, Austria. Each year four isolates were used in artificial inoculations except the spawn method where stalk debris served the inoculum. Visual Fusarium head blight (FHB) scores, Fusarium damaged kernels (FDK) and deoxynivalenol (DON) contamination were checked. 7680 FHB and FDK, as well as 3840 DON analyses served as the background for the statistical evaluation. The most reliable method used was the spray + polyethylene (PE) bag; the other two were significantly poorer being valid for all traits. The FHB scores were the least reliable, whereas the FDK was much more consequent and the DON gave the best results. The FDK gave much better predictions for DON contamination than FHB. The cultivars responses correlated well at different epidemic severities. The presence of the kernel resistance was confirmed and a new trait as extra kernel susceptibility was described. Presence of DON resistance was confirmed again, and extra DON susceptibility was described as a new trait. DON performance varied on the most sensitive cultivar between 0.32 and 143 mg/kg (mean 17.52 mg/kg) and on the most resistant genotype between 0.00 and 18.19 mg/kg (mean 1.87 mg/kg). Correlations between stability and resistance level are r = 0.85 for FHB, 0.78 for FDK, and 0.88 for DON, all at a significance level of p = 0.001. The very close correlation between FDK and DON contamination (r = 0.81, p = 0.001) proves that control of DON contamination needs appropriate resistance. In the breeding program evaluation of FDK is the most important, and then DON will be decided. Variety registration must be updated; otherwise no improvement on the field will occur.

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Section: Resistance Types and Selection Criteriamentioning

confidence: 79%

Section: Breeding Aspectsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Breeding for FHB Resistance via Fusarium Damaged Kernels and Deoxynivalenol Accumulation as Well as Inoculation Methods in Winter Wheat

Mesterházy¹,

Lehoczki-Krsjak²,

Varga³

et al. 2015

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“…The second high-confidence FHB resistance QTL was positioned in the telomeric region of chromosome 6BL dissimilar to the well-known FHB resistance QTL Fhb2 (Anderson et al 2001 ) and to other resistance genes identified on chromosome 6B in tetraploid wheat (Somers et al 2006 ; Buerstmayr et al 2012 , 2013 ) as well as in hexaploid wheat (Bonin and Kolb 2009 ; Zhang et al 2010 ; Basnet et al 2012 ; Szabó-Hevér et al 2014 ; Buerstmayr and Buerstmayr 2015 ). Most importantly, especially the identified resistance QTL on chromosome 3BS denotes a valuable finding for resistance breeding as the variation for FHB resistance is very limited in the primary gene pool of durum wheat.…”

Section: Discussionmentioning

confidence: 90%

Exploring and exploiting the genetic variation of Fusarium head blight resistance for genomic-assisted breeding in the elite durum wheat gene pool

et al. 2018

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Key message Genomic selection had a higher selection response for FHB resistance than phenotypic selection, while association mapping identified major QTL on chromosome 3B unaffected by plant height and flowering date. Abstract Fusarium head blight (FHB) is one of the most destructive diseases of durum wheat. Hence, minimizing losses in yield, quality and avoiding contamination with mycotoxins are of pivotal importance, as durum wheat is mostly used for human consumption. While growing resistant varieties is the most promising approach for controlling this fungal disease, FHB resistance breeding in durum wheat is hampered by the limited variation in the elite gene pool and difficulties in efficiently combining the numerous small-effect resistance quantitative trait loci (QTL) in the same line. We evaluated an international collection of 228 genotyped durum wheat cultivars for FHB resistance over 3 years to investigate the genetic architecture and potential of genomic-assisted breeding for FHB resistance in durum wheat. Plant height was strongly positively correlated with FHB resistance and led to co-localization of plant height and resistance QTL. Nevertheless, a major QTL on chromosome 3B independent of plant height was identified in the same chromosomal interval as reported for the prominent hexaploid resistance QTL Fhb1, though haplotype analysis highlighted the distinctiveness of both QTL. Comparison between phenotypic and genomic selection for FHB resistance revealed a superior prediction ability of the former. However, simulated selection experiments resulted in higher selection responses when using genomic breeding values for early generation selection. An earlier identification of the most promising lines and crossing parents was feasible with a genomic selection index, which suggested a much faster short-term population improvement than previously possible in durum wheat, complementing long-term strategies with exotic resistance donors.

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“…Plant height was first identified as a potential FHB disease escape trait with taller plants having significantly less severe symptoms possibly due to the reduced dispersal of ground inoculum to the ear (Mesterhazy, 1995 ; Hilton et al, 1999 ). Numerous studies thereafter (Paillard et al, 2004 ; Steiner et al, 2004 ; Schmolke et al, 2008 ; Szabo-Hever et al, 2014 ) identified quantitative trait loci (QTL) associated with FHB resistance and plant height, and Srinivasachary et al ( 2008 ) showed that increased FHB susceptibility in shorter genotypes was genetically linked with Rht1 dwarfing alleles. Significant correlations between ear traits such as length (Suzuki et al, 2012 ) or density (Steiner et al, 2004 ) and FHB susceptibility rather than resistance have been most often reported (Somers et al, 2003 ; Schmolke et al, 2005 ; Liu et al, 2007 ).…”

Section: Introductionmentioning

confidence: 99%

Canopy and Ear Traits Associated With Avoidance of Fusarium Head Blight in Wheat

et al. 2018

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Doubled haploid and elite wheat genotypes were ground inoculated in three field experiments and head spray inoculated in two glasshouse experiments, using mixed Fusarium and Microdochium species, to identify crop canopy and ear traits associated with Fusarium head blight (FHB) disease. In all experiments, flag leaf length and tiller number were consistently identified as the most significant canopy traits contributing to progression of FHB caused by Fusarium graminearum, F. culmorum, and F. avenaceum. The influence of ear traits was greater for F. poae that may possess more diverse routes for transmission and spread. Consistently, spikelet density was associated with increased disease severity in the field. F. graminearum, F. culmorum, and F. langsethiae were the main mycotoxin producers and their respective toxins were significantly related to fungal biomass and number of spikelets per ear. Genotypes with lower tiller numbers, shorter flag leaves and less dense ears may be able to avoid FHB disease caused by F. graminearum, F. culmorum, F. avenaceum, or Microdochium species however selection for these canopy and ear architectural traits to enable disease avoidance in wheat is likely to result in a potential trade-off with grain yield and therefore only moderately advantageous in susceptible genotypes.

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Erratum to: Differential influence of QTL linked to Fusarium head blight, Fusarium-damaged kernel, deoxynivalenol contents and associated morphological traits in a Frontana-derived wheat population

Cited by 30 publications

References 0 publications

Breeding for FHB Resistance via Fusarium Damaged Kernels and Deoxynivalenol Accumulation as Well as Inoculation Methods in Winter Wheat

Breeding for FHB Resistance via Fusarium Damaged Kernels and Deoxynivalenol Accumulation as Well as Inoculation Methods in Winter Wheat

Exploring and exploiting the genetic variation of Fusarium head blight resistance for genomic-assisted breeding in the elite durum wheat gene pool

Canopy and Ear Traits Associated With Avoidance of Fusarium Head Blight in Wheat

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