摘要
为了解贵州小麦条锈病抗性水平及抗性基因本底,本试验利用条锈病流行生理小种对274份小麦种质进行条锈病抗性表型鉴定,并结合已知Yr家族基因进行分子检测.结果表明,156份小麦种质田间表现出稳定成株期抗性,分子检测出 Yr9、Yr10、Yr17、Yr18、Yr26、Yr29、Yr30、Yr65、Yr67、Yr78 和 Yr81 等基因所在材料份数依次为 2 份、37 份、53 份、4 份、49份、23份、91份、40份、15份、38份、15份、106份和145份,176份种质携带2个及以上Yr家族基因.材料中含有的基因数越多,对应群体材料的感病率下降.Yr5、Yr15、Yr17、Yr65和Yr78等基因与田间抗性相关性较明显,应充分利用生产上仍保持良好抗性的基因Yr5和Yr15.抗性基因Yr81在表达上可能与其他基因存在上位效应,在考虑上位效应、基因型与环境互作影响抗性表达和抗性基因相关的生理成本等问题的基础上,积极开展抗性基因的聚合育种工作,并充分利用现代生物技术手段快速培育具有持久抗性且农艺性状优良的小麦新品种,有效控制小麦条锈病大流行.
Abstract
In order to understand the resistance level and resistance gene background of wheat(Triticum aestivum L.)stripe rust in Guizhou Province,stripe rust resistance phenotype was identified in 274 wheat germplasms using the prevalent physiological species of stripe rust and molecular detection was performed with the known Yr gene.The results showed that 156 wheat germplasm showed stable adult resistance in the field.Molecular detection of Yr9,Yr10,Yr17,Yr18,Yr26,Yr29,Yr30,Yr65,Yr67,Yr78 and Yr81 of which the number of materials containing isogenes was 2,37,53,4,49,23,91,40,15,38,15,106 and 145,respectively.176 germplasms had two or more Yr genes.The higher the number of genes contained in the material,the disease susceptibility of the corresponding population material decreased.Yr5,Yr15,Yr17,Yr65 and Yr78 genes were significantly correlated with field resistance.Making full use of the genes Yr5 and Yr15 which still maintained good resistance in production.The expression of resistance gene Yr81 could have epistatic effect with other genes.Considering epistatic effect,genotype and environment interaction affecting resistance expression and physiological cost related to resistance genes,polymeric breeding of resistance genes should be actively carried out.Fully utilize modern biotechnology to rapidly cultivate new wheat varieties with persistent resistance and excellent agronomic traits,effectively controlling the outbreak of wheat stripe rust.
基金项目
贵州省科技计划项目(黔科合基础-ZK[2023]一般170)
贵州省科技计划项目(黔科合基础-ZK[2022]一般234)
贵州省科技计划项目(黔科合支撑[2024]一般109)
贵州省农科院基金项目(黔农科青年基金[2023]23号)
贵州省农科院基金项目(黔农科科技创新[2023]02号)
国家现代农业产业技术体系建设专项(CARS-3-87)
国家农业科技重大项目(NK20220607)
维普
万方数据