Mapping of quantitative trait loci for field resistance to Fusarium head blight in an European winter wheat

Gervais, Laura; Dedryver, Françoise; Morlais, JY; Bodusseau, V.; Nègre, Sylvie; Bilous, M.; Groos, C.; Trottet, Maxime

doi:10.1007/s00122-002-1160-5

Cited by 226 publications

(221 citation statements)

References 46 publications

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“…Moreover, humid conditions can stimulate Fusarium spp. which has an effect not only on the yield, but also on product quality as toxic mycotoxins are produced (Rosenzweig et al 2001;Gervais et al 2003). Wind and rain surges in the vulnerable period of May to August can cause the wheat to lodge.…”

Section: Winter Wheatmentioning

confidence: 99%

Impact changes of climatic extremes on arable farming in the north of the Netherlands

et al. 2011

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Agriculture is vulnerable to climate change in multiple ways. Here, we use the northern region of the Netherlands as a case study to explore how risk assessments for climate change impacts on crop production can address multiple vulnerabilities. We present a methodology, which we call agro climate calendar (ACC) that (i) includes potential yield losses, as well as loss of product quality, and (ii) assesses the risks of a variety of climate factors including weather extremes and the emergence and abundance of pests and diseases. Climate factors are defined for two time slices: 1990 (1976-2005) and 2040 (2026-2055); the frequency of occurrence of the factors is compared for the two periods, and the resulting frequency shifts are presented in a crop calendar on a monthly basis. This yields an indication of the magnitude and direction of changes in climatic conditions that can lead to damage by extreme events and pests and diseases. We present results for the two most important crops in the region, seed potato, and winter wheat. The results provide a good overview of risks from climate factors, and the most important threats and opportunities are identified. This semi-quantitative approach is firmly rooted in farm management, which is the level where operational and strategic decisions are made. Thus, the approach is well suited to assist local stakeholders such as farmers and policy makers to explore farm-level adaptation. This work is complementary to previous modeling work that focused mainly on the relation between mean climate change factors (i.e., temperature) and crop yield.

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Section: Winter Wheatmentioning

confidence: 99%

Impact changes of climatic extremes on arable farming in the north of the Netherlands

et al. 2011

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“…In wheat, several FHB resistance QTLs overlap with QTL for plant height, weight of infected spikelets or awns when examining crosses between unrelated cultivars which differ in these morphological traits (e.g. Gervais et al 2003;Srinivasachary et al 2008a). Quite a lot of papers have also been published which examine the effect of allelic constitution at rht-B1 locus (also called rht1) and rht-D1 locus (also called rht2; loci determining plant height located on 4BS and 4DS, respectively) on FHB resistance in wheat.…”

Section: Types and Mechanisms Of Fhb Resistancementioning

confidence: 99%

“…Promising sources of moderate resistance to FHB (better adapted to the conditions that are prevalent in Europe) may be the Swiss cultivar Arina (Paillard et al 2004), German cultivars Cansas, Petrus and Dream (Klahr et al 2007;Schmolke et al 2005), French cultivars Renan (Gervais et al 2003) and Apache , Dutch cultivar Romanus (Badea et al 2008) and Romanian cultivar Fundulea F201R (Ittu et al 2002;Shen et al 2003b). Using the cultivars Centenaire, Tulsa, Tuareg, Elegant and Arina as sources of moderate type II FHB resistance, specific hybrid combinations were identified with this resistance type at the level equal to or more resistant than the cultivar Arina (Zwart et al (2008b).…”

Section: Sources Of Natural Resistance To Fhbmentioning

confidence: 99%

Cereal resistance to Fusarium head blight and possibilities of its improvement through breeding

Kosová¹,

Chrpová²,

Šíp³

2009

CZECH J GENET PLANT

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The aim of this review is to summarize recent information on Fusarium head blight (FHB) in small grain cereals, especially in wheat and barley. Basic information on FHB epidemiology, types of resistance and plant resistance mechanisms is included. Standard methods for the evaluation of the individual types of FHB resistance and the extent of infection are briefly described. Special attention is paid to the sources of FHB resistance of different origin and possibility of their exploitation in cereal breeding. Unfortunately, a high level of FHB resistance was detected in non-adapted germplasm or distant relatives, which is a serious impediment to breeding progress in this field. The present state of breeding for FHB resistance in wheat, barley, rye, triticale and oats was analyzed. It was shown that large-scale QTL detections provide new opportunities for increasing the resistance; however, multi-step phenotypic selection still remains to be the most effective tool. Pedigree analyses indicated that the latest progress reached in this field was obtained through the cumulation of resistance genes coming from heterogeneous sources with different response to FHB.

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“…Some of these genes have been *Corresponding authors (email: penghuiru@cau.edu.cn; qxsun@cau.edu.cn) exploited to breed many semidwarf cultivars with high yield potential. Recently, along with the advent of molecular quantitative genetics, about 50 quantitative trait loci (QTLs) for wheat plant height have been identified using the constructed molecular genetic linkage maps [3][4][5][6][7][8][9][10][11][12][13][14][15]. However, QTL mapping of plant height in wheat was only focused on the performance of this trait at the maturing stage.…”

mentioning

confidence: 99%

Molecular dissection of plant height QTLs using recombinant inbred lines from hybrids between common wheat (Triticum aestivum L.) and spelt wheat (Triticum spelta L.)

Liu

et al. 2011

Chin. Sci. Bull.

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In wheat, plant height is an important agronomic trait, and a number of quantitative trait loci (QTLs) controlling plant height have been located. In this study, using the conditional and unconditional QTL mapping methods, combined with data from five different growth stages over two years of field trials, the developmental behavior for plant height in wheat was dissected. Nine unconditional QTLs and 8 conditional QTLs were identified, of which 6 were detected by both methods. None of the 11 QTLs was detected at all of the 5 investigated developmental stages, but 7 QTLs were detected at certain stages in both years. Further analysis identified 9 unconditional QTLs at different stages, which could explain the phenotypic variation from 4.81% to 17.35%. It was noteworthy that one major QTL designated QHt-4B-2, which was located on chromosome 4B, was detected on May 18 and 25 in both years, and its genetic contributions to plant height ranged from 13.42% to 16.13%. Moreover, of the 8 conditional QTLs identified, six were detected in both years, in the order of QHt-3B→QHt-4B-1→QHt-4B-2→QHt-4D→QHt-5A and QHt-2B expressed at the same developmental stage. The results indicate that QTL expression during plant height development is selective and in a temporal order. As one of the most important agronomic traits in wheat breeding, plant height plays a vital role in producing plants with high lodging resistance and high harvest index. For example, the dwarfism gene from Nonglin-10, which was widely used in classical wheat breeding programs, contributed significantly to the green revolution in the 1960s [1]. Until now, dwarfism breeding has been important in increasing the yield of wheat all over the world. Genetic analysis of plant height has been carried out by many researchers, and more than 20 dwarfism genes have been identified in wheat [2]. Some of these genes have been *Corresponding authors (email: penghuiru@cau.edu.cn; qxsun@cau.edu.cn) exploited to breed many semidwarf cultivars with high yield potential. Recently, along with the advent of molecular quantitative genetics, about 50 quantitative trait loci (QTLs) for wheat plant height have been identified using the constructed molecular genetic linkage maps [3][4][5][6][7][8][9][10][11][12][13][14][15]. However, QTL mapping of plant height in wheat was only focused on the performance of this trait at the maturing stage.Conventional statistical genetic analysis revealed that gene expression patterns were distinct at different developmental stages, and the genetic model for the final character did not fully reflect the true gene expression pattern during formation of the character [16][17][18][19][20][21][22]. Therefore it is necessary to conduct dynamic mapping of plant height at a variety of

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Mapping of quantitative trait loci for field resistance to Fusarium head blight in an European winter wheat

Cited by 226 publications

References 46 publications

Impact changes of climatic extremes on arable farming in the north of the Netherlands

Impact changes of climatic extremes on arable farming in the north of the Netherlands

Cereal resistance to Fusarium head blight and possibilities of its improvement through breeding

Molecular dissection of plant height QTLs using recombinant inbred lines from hybrids between common wheat (Triticum aestivum L.) and spelt wheat (Triticum spelta L.)

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