基于非线性主成分分析的寒地水稻齐穗期抗旱性评价

为鉴定寒地水稻在全生育期干旱条件下的齐穗期抗旱性及筛选抗旱性鉴定的适宜指标,以其齐穗期伤流量、干物质量、高效叶面积等17个性状为指标,采用对数主成分分析法对12份寒地水稻种质资源进行抗旱性综合评价。结果表明,利用对数主成分分析将17个单项指标的抗旱系数转化为5个相互独立的综合指标,累积贡献率达83.829%。依据抗旱综合评价S_f值将12份材料分成3类,第一类包括齐粳10、DPB120和DPB15,S_f值在0.548～0.609之间,属于干旱敏感型;第二类包括垦稻24、DPB71、绥育117463、绥育118146和绥粳21,S_f值在0.660～0.764之间,属于中抗旱型;第三类包括DPB70、绥稻3号、DPB112和莹稻2,S_f值在0.859～0.872之间,属于强抗旱型。基于灰色关联系数大小和鉴定效率的考虑,确定有效叶面积、高效叶面积、干物质量和主穗颖花数作为寒地水稻在全生育期干旱条件下的齐穗期抗旱性鉴定指标。

Drought resistance evaluation of rice at full heading period based on nonlinear principal component analysis in cold region

In order to identify the drought resistance of rice at full heading stage under the condition of drought in the whole growth period in cold region and screen the suitable indexes for drought resistance identification, 17 characters at full heading stage, such as wound flow, dry matter quantity, and high efficiency leaf area, and so on, were used as indexes to evaluate drought resistance of 12 rice germplasm resources in cold region by logarithmic principal component analysis. The results showed that the drought resistance coefficients of 17 individual indexes were transformed into 5 independent comprehensive indexes by logarithmic principal component analysis, and the cumulative contribution rate reached 83.829%. According to the S_f value of drought resistance comprehensive evaluation, 12 materials were divided into three groups, the first group included Qijing 10, DPB120, and DPB15 with the S_f value ranging from 0.548 to 0.609, which belonged to drought sensitive type. The second group included Kendao 24, DPB71, Suiyu 117463, Suiyu 118146, and Suijing 21 with the S_f value between 0.660 and 0.764, belonging to moderate drought resistance type. The DPB70, Suidao 3, DPB112, and Yingdao 2 belonged to the third group, with the S_f value ranging from 0.859 to 0.872, which belonged to strong drought resistance type. Based on the grey correlation coefficient and identification efficiency, the effective leaf area, high efficiency leaf area, dry matter quantity, and the spikelet number of main spike were determined as the identification indexes of drought resistance at full heading stage of cold rice under the condition of drought in the whole growth period.