Identification and genetic mapping of the putative Thinopyrum intermedium-derived dominant powdery mildew resistance gene PmL962 on wheat chromosome arm 2BS

Shen, Xiaoxu; X., L.; Zhong, Shengyi; Liu, N.; Zhang, M.; Chen, W. Q.; Zhou, Yang; Li, H. J.; Chang, Zhijian; Li, X.; Bai, Guihua; Zhang, H. Y.; Tan, Feiquan; Ren, Zhenglong; Luo, Peigao

doi:10.1007/s00122-014-2449-x

Cited by 34 publications

(14 citation statements)

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“…Twentyseven Blumeria framinis f.sp. tritici (Bgt) single-spore isolates (Shen et al 2015) were collected from Beijing, Shandong, Hebei, Henan, and Jiangsu provinces to assess the reactions of all genotypes to the pathogen causing powdery mildew. Evaluation of seedling reactions to 27 isolates was conducted in a greenhouse using the previously reported method (Zhao et al 2013).…”

Section: Methodsmentioning

confidence: 99%

“…Furthermore, the three genotypes exhibited positive agronomic traits such as PH (70~75 cm) and TGW (Table 2). In addition, L962 was found to be resistant to powdery mildew (Shen et al 2015) (Figure 1C) while both L958 and L987 were susceptible to powdery mildew. Regarding the stripe rust resistance, the specific PCR amplification result indicated that L958 and L987 carry the WCBP1 gene ( Figure 1D) for resistance to stripe rust.…”

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confidence: 99%

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Identification of three new resources of resistance to Fusarium head blight in wheat

Huang¹,

Fatima²,

Zhong³

et al. 2019

CZECH J GENET PLANT

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Fusarium head blight (FHB) mainly caused by Fusarium species is one of the most important diseases threatening worldwide wheat production. To develop new FHB resistance resources, disease resistances of three new wheat lines L958, L962 and L987 were evaluated over a period of several years. We employed L699 (PI672540) and L661 as the resistant and susceptible control, respectively. Moderate FHB resistance was observed in these three wheat lines, among which the genotype L958 was found a good resource for yield, quality and FHB resistance improvement. In addition, genotype L962 was found to be resistant to powdery mildew, and both L958 and L987 carried the YrL693 gene conferring stripe rust resistance. The study provides promising results for accelerating the resistance breeding of the three wheat lines. Keywords: agronomic trait; FHB; resistance evaluation; Triticum aestivumFusarium head blight (FHB), mainly caused by Fusarium graminearum Schwabe and F. culmorum WG Smith, is a serious wheat (Triticum aestivum L.) disease worldwide (Bai & Shaner 2004;Li et al. 2017). In China, FHB epidemics have frequently occurred in the middle to lower valleys of the Yangtze River (Yao & Lu 2000). In recent years, FHB has spread to the southwest of China, including Sichuan Province (Zhang et al. 2011;Liu et al. 2015;Yang et al. 2016), where the climate was warm and rainy. Furthermore, FHB is also a fungal disease threatening food and economic security due to its contamination with mycotoxins, decreasing the wheat yield and quality (Zwart et al. 2008). At present, there is still no economic and effective way to control this disease. Developing resistant cultivars is an important approach to control this disease, for which the decisive step is to identify new germplasm with multi-resistance.Some effective FHB resistance sources have been identified in common wheat (Chu et al. 2011), and some FHB resistance quantitative trait loci (QTLs) have also been found and mapped in wheat relatives (Cai et al. 2005;Chen et al. 2007). In recent years, some geneticists and breeders have paid much ata These authors contributed equally to this work. 16 Original PaperCzech Journal of Genetics and Plant Breeding, 55, 2019 (1) (Luo et al. 2009;Liu et al. 2013). In addition, four new FHB resistant wheat germplasms were identified and released , which demonstrated the possibility of using Th. intermedium to develop novel wheat germplasm with different disease resistance. However, some breeding problems still remain and new materials with effective resistance to various diseases need to be developed.The research in this paper is aimed at screening wheat FHB resistance germplasm derived from an MY11 × YU25 cross for FHB resistance improvement. MATERIAL AND METHODSPlant material. The three wheat lines L958, L962, and L987 were selected from the F 7 populations derived from an MY11 × YU25 cross during 2007. MY11 is a wheat cultivar widely grown in southwestern China, while YU25 is a wheat cultivar with a foreign pedigree of Th. intermedium .FH...

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Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Identification of three new resources of resistance to Fusarium head blight in wheat

Huang¹,

Fatima²,

Zhong³

et al. 2019

CZECH J GENET PLANT

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“…In China, powdery mildew is increasing its importance and for the last decade more than six million hectares of wheat cultivated area have been affected annually. Currently it is more dangerous than any other wheat diseases for this region (Zeng et al, 2014;Ma et al, 2015;Shen et al, 2015;Mwale et al, 2017). Some researchers predict powdery mildew to become more important in the future because of the climate change, which will provide more favourable conditions for the development of the disease (Tang et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Virulence and diversity of the Blumeria graminis f. sp. tritici populations in Lithuania and Southern Ukraine

Traskovetskaya

Gorash

Liatukas

et al. 2019

Zemdirbyste-Agriculture

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For the present study, samples of cleistothecia were collected in Central Lithuania and Southern Ukraine. To characterize the virulence, complexity and diversity of powdery mildew (Blumeria graminis f. sp. tritici) populations, 80 isolates were derived from single ascospores, 40 isolates from each population. Pathotype analysis was conducted on 16 differentials with known Pm genes. According to the proposed nomenclature, 32 pathotypes were identified in the Lithuanian powdery mildew population and 30-in the Ukrainian population. The most frequent phenotype in Lithuania was NGDE (7.5%), and in Ukraine it was NGKE (15%). The Ukrainian powdery mildew population was more complex and contained more virulence genes per isolate. The virulence test was carried out by inoculation on detached leaves of 26 common wheat (Triticum aestivum L.) differentials with known Pm genes and 12 resistant winter wheat breeding lines and cultivars. The frequencies of virulence to these differentials ranged from 0% to 100%, and most of them had high level of virulence. No virulence was found to Pm20 and Pm25+3a genes, cultivar 'Lastivka odeska' and breeding lines CN 89/16 and PI 170911 in both populations, whereas the frequencies of virulence were more than 50% to Pm1a,

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“…Wheat powdery mildew is caused by the fungus Blumeria graminis and is one of the most common diseases that result in significant loss of crop yield and quality in China [1][2][3]. Recently, wheat powdery problems [27].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Regional Monitoring of Wheat Powdery Mildew Based on an Instance-Based Transfer Learning Method

et al. 2019

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In order to monitor the prevalence of wheat powdery mildew, current methods require sufficient sample data to obtain results with higher accuracy and stable validation. However, it is difficult to collect data on wheat powdery mildew in some regions, and this limitation in sampling restricts the accuracy of monitoring regional prevalence of the disease. In this study, an instance-based transfer learning method, i.e., TrAdaBoost, was applied to improve the monitoring accuracy with limited field samples by using auxiliary samples from another region. By taking into account the representativeness of contributions of auxiliary samples to adjust the weight placed on auxiliary samples, an optimized TrAdaBoost algorithm, named OpTrAdaBoost, was generated to map regional wheat powdery mildew. The algorithm conducts this by: (1) producing uncertainty associated with each prediction based on the similarities, and calculating the representativeness contribution of all auxiliary samples by taking into account the overall uncertainty of the wheat powdery mildew map; (2) calculating the errors of the weak learners during the training process and using boosting to filter out the unreliable auxiliary samples by adjusting the weights of auxiliary samples; (3) combining all weak learners according to the weights of training instances to build a strong learner to classify disease severity. OpTrAdaBoost was tested using a dataset with 39 study area samples and 106 auxiliary samples. The overall monitoring accuracy was 82%, and the kappa coefficient was 0.72. Moreover, OpTrAdaBoost performed better than other algorithms that are commonly used to monitor wheat powdery mildew at the regional level. Experimental results demonstrated that OpTrAdaBoost was effective in improving the accuracy of monitoring wheat powdery mildew using limited field samples.

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Identification and genetic mapping of the putative Thinopyrum intermedium-derived dominant powdery mildew resistance gene PmL962 on wheat chromosome arm 2BS

Cited by 34 publications

References 42 publications

Identification of three new resources of resistance to Fusarium head blight in wheat

Identification of three new resources of resistance to Fusarium head blight in wheat

Virulence and diversity of the Blumeria graminis f. sp. tritici populations in Lithuania and Southern Ukraine

Enhanced Regional Monitoring of Wheat Powdery Mildew Based on an Instance-Based Transfer Learning Method

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