节点文献
大豆新品系抗SMV鉴定及分析
Identification and Analysis of Soybean New Lines for Resistance to Soybean mosaic virus
【摘要】 为了筛选出对大豆花叶病毒(SMV)病具有抗性的大豆新品系,以1 108份新选育的大豆品系为材料,人工接种SMV优势株系SC3和SC7,通过调查发病率和病情指数以考察其抗性,同时分析其亲本来源和抗性。结果显示,有356和326份大豆品系对SMV株系SC3和SC7分别表现高抗,占比为32.13%,29.42%,同时对这2个株系均表现高抗的品系有252份,占22.75%。相关性分析结果显示,SC3和SC7发病率与病情指数呈极显著正相关(r=0.942和r=0.956)。线性回归结果显示,SC3和SC7发病率与其病情指数呈线性关系,线性关系显著,其发病率可以分别解释其病情指数变异的88.75%,91.47%。从亲本来源可以看到,母本来源于河北育成的品系数最多,有97份;父本来源于国外育成的品系数最多,为85份。抗性分析显示,来源于河北的母本抗性的病情指数相对较低,其后代品系平均发病率和病指指数也均相对较低。研究结果为SMV病情预测和大豆抗病育种提供了参考。
【Abstract】 In order to screen soybean lines with resistance to Soybean mosaic virus(SMV),a total of 1 108 recent bred soybean lines were evaluated through the incidence rate and disease index to SMV by inoculation with two SMV prevalent strains SC3 and SC7. The results showed that among the 1 108 varieties inoculated by SC3 and SC7,356(32.13%)and 326(29.42%)exhibited high resistance, respectively. 252(22.75%)varieties were high resistance to both SC3 and SC7. The correlation analysis showed the incidence rate to SC3 and SC7 had extremely significantly positive relation with disease index(r=0.942 and r=0.956). The linearity regression analysis indicated, the incidence rate to SC3 and SC7 if only disease index to become the linear relations, the linear relations quite was remarkable. The incidence rate of SC3 and SC7 could explain 88.75% and 91.47% of the disease index variation, respectively. The analysis of the parental origins showed that the new lines was the most, were bred by the female from Hebei, account for 97,while the new lines was the most, were bred by the male from foreign varieties, account for 85. The resistance analysis showed that the average incidence rate and disease index to SC3 and SC7 of the offspring lines that were bred by the female from Hebei were relatively lower. These findings could provide reference for the prediction of Soybean mosaic virus disease and SMV resistance breeding.
【Key words】 Soybean; Lines; Soybean mosaic virus; Parental origins; Resistance analysis;
- 【文献出处】 华北农学报 ,Acta Agriculturae Boreali-Sinica , 编辑部邮箱 ,2021年S1期
- 【分类号】S435.651
- 【被引频次】1
- 【下载频次】65