生物炭施加对节水灌溉水稻生长影响的RAGA-PPC模型评价  

Evaluating with RAGA-PPC Effects of Applying Biochar on the Growth of Rice in Water-saving Irrigation Paddy

作　　者：庞红伟 

机构地区：[1]开封市引黄管理处,河南开封475000 [2]三峡大学农业水土资源可持续利用研究所,湖北宜昌443002

出　　处：《安徽农业科学》2017年第25期24-26,64,共4页Journal of Anhui Agricultural Sciences

基　　金：农业部农业水资源高效利用重点实验室开放课题资助项目(2015003)

摘　　要：利用基于实数编码加速遗传算法的投影寻踪模型,根据实测试验数据,评价生物炭对节水灌溉水稻生长的影响。选出反映作物生长特性的株高、LAI、产量、有效分蘖、水分利用效率、灌水量及叶绿素含量等7项指标,按投影函数值对各个指标的贡献大小进行排序,并对各项试验方案进行排序。结果表明,株高及产量对整体评价贡献最大,叶绿素含量则最小;在常规灌溉以及非充分灌溉条件下施加生物炭对水稻生长都有明显促进作用;本试验条件下,施加生物炭并保持土壤水分含量在85%~100%的灌溉方案为最佳灌溉方案。Based on RAGA-PPC, according to experiments data, effects of bio-char on the growth of rice in water-saving irrigation paddy was evaluated. Selecting plant height, LAI, yield, effective tiller, WUE,irrigation water and chlorophyll content as representative indicators, sorted the indicators according to the contribution of value of projection function to each indicator, and sorted experiment plans. The results showed that plant height and yield contributed the most to the overall evaluation, chlorophyll content contributed the smallest, applying bio-char can promote obviously rice growth under conventional irrigation and insufficient irrigation conditions, the experiment plan with applying bio-char and soil water content of 85% - 100% was the best in this experiment condition.

关 键 词：生物炭 综合评价模型 实数编码加速遗传算法 投影寻踪模型 

分 类 号：S511[农业科学—作物学]