国家科技攻关计划
The National Key Technologies R&D Program of China
为了筛选和鉴定耐低铁玉米品种应用于生产,以23个玉米品种为材料,测定低铁胁迫和正常供铁(对照)玉米幼苗的株高、茎粗、可见叶、展叶、叶面积、根长、根体积、干物质、活性铁、含铁量、铁积累量和叶绿素含量等15个性状,以各性状的相对值作为衡量指标,利用主成分分析、隶属函数分析和聚类分析对其进行耐低铁能力的综合评价。结果表明不同玉米品种耐低铁能力存在明显的基因型差异;邡玉1号、福康玉909、正大619、正红102、福得2号、正红2号耐低铁能力较强;展叶数、叶面积、根长、根干重、铁积累量可作为玉米耐低铁品种苗期筛选指标;可利用玉米苗期耐低铁能力的回归模型:D= (-384.23+2.71X4+2.50X5+3.22X6+1.70X9+4.86X14)×10-3对玉米苗期耐低铁能力进行预测。
Twenty-three corn varieties were studied to screening and identification of resistance to low iron capacity. Maize seedlings grown in low and regular iron supply conditions. Seven days later, fifteen indexes including plant height, stem diameter, visible leaf number, expanded leaf number, leaf area, root length, root volume, chlorophyll content, shoot dry weight, root dry weight, root shoot ratio, total dry weight, active iron, iron content and iron accumulation of the seedlings were measured. Relative values of these indexes were comprehensively evaluated the resistance low iron capacity, using the principal component analysis, subordinate function analysis and clustering analysis. The results showed that the different corn varieties resistant to low iron capacity significantly different. Fangyu1, Fukangyu909, Zhengda619, Zhenghong102, Fude2 and Zhenghong2 have strong resistance to low iron. Relative values of expanded leaf number, leaf area, root length, root dry weight and iron accumulation could be considered as low iron-resistance selection in maize seedling stage. The regression equation, D= (-384.23+2.71X4+2.50X5+3.22X6+1.70X9+4.86X14) ×10-3, can be used to predict the low iron-resistance ability of corn varieties in seedling stage.
龙文靖,万年鑫,辜涛,等.玉米苗期耐低铁能力的综合评价及其预测[J].植物遗传资源学报,2015,16(4):734-742.
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