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Novel strategies for genetic improvement of disease resistance in perennial ryegrass

Novel strategies for genetic improvement of disease resistance in perennial ryegrass
多年生黑麦草抗病性遗传改良的新策略
批准号:
BB/M028267/1
负责人:
Leif Skot
金额:
$30.26万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --

项目摘要

项目成果

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中文摘要
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英文摘要
Perennial ryegrass (PRG) provides the majority of forage for livestock in the UK. Drechslera andersonii or net blotch is a serious fungal disease of PRG, and the UK is at high or medium risk. Yield effects can be over 1t DM per hectare in the first cut (British Society of Plant Breeders - Recommended List). Few current diploid varieties have good resistance, and the UK bred high sugar grass (HSG) varieties show poor resistance. Fungicide use is not a viable option. Reduction in the use of HSG varieties will lead to decreasing sales and increase in imported varieties with higher resistance, but without the high sugar content, which improves ruminant nutrition efficiency. The project brings together the only UK owned forage grass and legume seed production and wholesale company (Germinal Holdings Ltd), and the major forage plant breeding and genetics research organisation within the UK (IBERS, Aberystwyth University) in a consortium that has the skills and commercial experience to deliver new net blotch resistant PRG varieties with HSG characteristics. IBERS, Aberystwyth University will breed net blotch resistant HSG varieties using a novel backcross strategy aided by genomic selection. This will increase the speed with which disease resistant hybrids recover previous values of agronomic and HSG traits. This has not been done before in a ryegrass breeding programme. New net blotch resistant HSG ryegrass varieties will help GHL maintain and increase market share in the UK and abroad. We have identified ecotypes with high net blotch resistance. They will initially be crossed with AberWolf, a high performing HSG varieties with low net blotch resistance. The F1 progeny will be assessed phenotypically for disease resistance, and genotyped with a 4000 molecular marker SNP chip. This allows us to identify quantitative trait loci (QTLs) for net blotch resistance. Secondly, prediction models have been developed to derive genomic estimated breeding values for agronomic and forage quality traits. This will enable us to select the best candidates for disease resistance as well as HSG traits. A polycross of the F1 plants will be performed to guarantee segregation of the disease resistance traits. By year 5 three further rounds of backcrossing with the recurrent HSG parent will have been completed. Seed will be set aside from year 3 for small scale field trials in Devon for the remaining two years. These field trials will also include a wide range of susceptible and resistant material with high or low water soluble carbohydrate (WSC) content for comparison and as controls. These rigorous trials will ensure that by the end of the project, we will have populations with much higher net blotch resistance in addition to the beneficial properties of AberHSG varieties in terms of yield, WSC and digestibility. A range of activities will be undertaken to publicise this work, and thus facilitate fast on-farm uptake of these new varieties. This includes communication with seed distributors, advisors and farmers. The technology will be demonstrated at various livestock shows, including demonstration plots, where possible. GHL will also produce easy to follow management guidelines for farmers.
期刊论文(3)
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会议论文
Prediction of breeding values and variance in Lolium perenne (L.) breeding populations
黑麦草 (Lolium perenne (L.)) 育种群体育种值和方差的预测
DOI: --
发表时间: 2018
期刊:
影响因子: --
作者: [Skot, L.]
通讯作者: Skot, L.
DOI: 10.3389/fpls.2016.00133
发表时间: 2016
期刊: Frontiers in plant science
影响因子: 5.6
作者: [Grinberg NF, Lovatt A, Hegarty M, Lovatt A, Skøt KP, Kelly R, Blackmore T, Thorogood D, King RD, Armstead I, Powell W, Skøt L]
通讯作者: Skøt L
Encyclopedia of Applied Plant Sciences
应用植物科学百科全书
DOI: 10.1016/b978-0-12-394807-6.00228-8
发表时间: 2017
期刊:
影响因子: --
作者: [Skøt L]
通讯作者: Skøt L
Magnesium Network (MAG-NET): Integrating Soil-Crop-Animal Pathways to Improve Ruminant Health
  • 批准号:
    BB/N004272/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $14.39万
  • 财政年份:
    2016
  • 负责人:
    Leif Skot
  • 依托单位:
Comparative population genomics of red clover domestication and improvement
  • 批准号:
    BB/L023563/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $36.05万
  • 财政年份:
    2014
  • 负责人:
    Leif Skot
  • 依托单位:
Molecular marker-assisted plant breeding on a genome wide scale
  • 批准号:
    BB/J006955/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $50.38万
  • 财政年份:
    2012
  • 负责人:
    Leif Skot
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
5'-tRF-GlyGCC通过SRSF1调控RNA可变剪切促三阴性乳腺癌作用机制及干预策略
  • 批准号:
    82372743
  • 项目类别:
    面上项目
  • 资助金额:
    49.00万元
  • 批准年份:
    2023
  • 负责人:
    陈卓佳
  • 依托单位:
面向人工智能生成内容的风险识别与治理策略研究
  • 批准号:
    72304290
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30.00万元
  • 批准年份:
    2023
  • 负责人:
    向安玲
  • 依托单位:
放疗通过激活GSDMD诱发细胞焦亡促进肿瘤再增殖的机制研究及干预策略探讨
  • 批准号:
    82373299
  • 项目类别:
    面上项目
  • 资助金额:
    49.00万元
  • 批准年份:
    2023
  • 负责人:
    程进
  • 依托单位: