摘要
选用结缕草属植物抗寒性两极端类型材料Z136(抗寒)和Z039(不抗寒)相互杂交,获得正反交F1分离群体,通过改良电导率外渗法对F1群体的抗寒性进行鉴定,并应用植物数量性状主基因+多基因混合遗传模型分析方法对F1群体进行遗传分析。结果表明,1)正反交后代的抗寒性变异范围均较大,正交的变异范围为-11.6^-0.3℃,反交的变异范围为-10.9^-1.7℃,均远远超出了双亲的抗寒性(-9.1和-3.3℃),正反交后代的平均值相差不大,正交后代LT50的平均值为-6.0℃,反交后代LT50的平均值为-6.3℃,均间于双亲之间,没有发现明显的母性遗传现象。2)次数分布分析结果表明,正反交F1群体的抗寒性均呈混合正态分布,表现出明显的主基因+多基因的遗传特征。3)遗传分析结果表明,结缕草属植物的最适遗传模型为B-4,即结缕草属植物的抗寒性受2对等加性的主效基因控制,正反交主基因遗传率分别为77.27%和79.60%。本研究目的在于明确结缕草属植物的抗寒性遗传规律,为结缕草属植物抗寒性基因的分子标记、定位以及标记辅助育种提供试验依据。
The aims of this study were to find the genetic mechanism of cold tolerance in zoysia grass, and to provide an experimental basis for analysis of molecular markers related to cold tolerance for Molecular Marker Assisted Breeding of zoysia grass. Two Zoysia F1 segregating populations of the reciprocal crosses of Z136 （cold tolerant） and Z039 （ non-cold tolerant） were obtained, and the cold tolerance of F1 populations were identiffed by leaf electrolyte leakage rate. The heredity of cold tolerance in the two F1 populations of Z136 × Z039 and Z039 × Z136 were analyzed by major gene and polygene mixed genetic models. Both crosses had a high variation range of cold tolerance： -11.6 to-0.3℃ （ZJ36×Z039） and-10.9 to -1.7℃ （Z039×Z13）, ranges far beyond those of their two parents （-9.1 and -3.3℃）. The average LT50 of reciprocal crosses were -6.0and -6.3℃, both intermediate between the two parents. No obvious maternal genetic phenomenon for cold tolerance were observed in zoysia grass. The frequency distribution of cold tolerance in F1 populations of the two crosses showed characteristics of a mixed normal distribution, which indicated that the inheritance of cold tolerance was based on a major gene plus poly-genes model. The results of genetic analysis showed that genetic model B-4 was the most suitable for the trait, i.e. the cold tolerance of zoysia was controlled by two equal additive major genes and the heritability of the major genes were 77.27% and 79.60% in the two crosses.
出处
《草业学报》
CSCD
北大核心
2009年第3期53-58,共6页
Acta Prataculturae Sinica
基金
国家自然科学基金项目(30571307)
江苏省科技攻关项目(BE2006339)资助
