| Title |
Identification of quantitative trait loci for resistance to Verticillium wilt and yield parameters in hop (Humulus lupulus L.)
|
|---|---|
| Published in |
Theoretical and Applied Genetics, February 2013
|
| DOI | 10.1007/s00122-013-2062-4 |
| Pubmed ID | |
| Authors |
Jernej Jakse, Andreja Cerenak, Sebastjan Radisek, Zlatko Satovic, Zlata Luthar, Branka Javornik |
| Abstract |
Verticillium wilt (VW) can cause substantial yield loss in hop particularly with the outbreaks of the lethal strain of Verticillium albo-atrum. To elucidate genetic control of VW resistance in hop, an F1 mapping population derived from a cross of cultivar Wye Target, with the predicted genetic basis of resistance, and susceptible male breeding line BL2/1 was developed to assess wilting symptoms and to perform QTL mapping. The genetic linkage map, constructed with 203 markers of various types using a pseudo-testcross strategy, formed ten major linkage groups (LG) of the maternal and paternal maps, covering 552.98 and 441.1 cM, respectively. A significant QTL for VW resistance was detected at LOD 7 on a single chromosomal region on LG03 of both parental maps, accounting for 24.2-26.0 % of the phenotypic variance. QTL analysis for alpha-acid content and yield parameters was also performed on this map. QTLs for these traits were also detected and confirmed our previously detected QTLs in a different pedigree and environment. The work provides the basis for exploration of QTL flanking markers for possible use in marker-assisted selection. |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 51 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 35% |
| Student > Ph. D. Student | 9 | 17% |
| Student > Bachelor | 6 | 11% |
| Student > Master | 5 | 9% |
| Student > Doctoral Student | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 9 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 65% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Arts and Humanities | 1 | 2% |
| Immunology and Microbiology | 1 | 2% |
| Earth and Planetary Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 12 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 December 2014.
All research outputs
#7,845,540
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#1,366
of 3,565 outputs
Outputs of similar age
#65,762
of 195,034 outputs
Outputs of similar age from Theoretical and Applied Genetics
#7
of 17 outputs
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