Development of a Marker within the Candidate Un8 True Loose Smut Resistance Gene for Use in Barley Breeding

Author:

Šķipars Vilnis1,Sokolova Elīna2,Seile Sanita2,Ruņģis Dainis1,Legzdiņa Linda2

Affiliation:

1. 2 Genetic Resource Centre, Latvian State Forest Research Institute “Silava” , 111 Rīgas Salaspils, LV-2169 , Latvia

2. 1 Priekuļi Research Centre, Institute of Agricultural Resources and Economics , 2 Zinātnes Str., Priekuli, LV-4126 , Latvia

Abstract

Abstract Breeding for resistance to true loose smut infection caused by the pathogen (Ustilago nuda (Jens.) Rostr.) is an economical and environmentally safe way to limit the effect of this pathogen on barley. However, screening for resistance using natural infection can lead to inconsistent results and artificial inoculation is labour intensive, and unless done in growth chambers or greenhouses, can also be affected by environmental conditions, leading to inconsistent phenotyping. Marker-assisted selection of genes conferring disease resistance can increase the efficiency of breeding programmes. A candidate gene for Un8 resistance was used to develop a genetic marker, which was tested on a recombinant inbred line (RIL) population derived from the resistant ‘CDC Freedom’ and the susceptible ‘Samson’ varieties. The RIL population (98 lines) was pheno-typed for resistance to true loose smut by artificial inoculation and genotyped with the newly developed marker. Only one of the 98 RILs tested had a resistant genotype, but was susceptible according to the artificial inoculation results. The marker was also tested in 47 additional barley cultivars and breeding material, and of the five lines with inconsistent results, four were susceptible according to the genotyping results, but were resistant according to the artificial inoculation results, while one line was resistant according to the genotyping results but had a susceptible resistance phenotype.

Publisher

Walter de Gruyter GmbH

Subject

Multidisciplinary

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3