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刁万英,李少昆,王克如,金秀良, 陈 兵, 王方永,王 琼,房林峰,肖春华.基于光谱参数估算滴灌小麦干物质氮肥偏生产力和农学效率[J].麦类作物学报,2013,33(4):662
基于光谱参数估算滴灌小麦干物质氮肥偏生产力和农学效率
Estimation of the Partial Productivity and Agronomic Efficiency of N Application on Dry Matter of Wheat under Drip Irrigation by Spectral Parameters
  
DOI:10.7606/j.issn.1009-1041.2013.04.007
中文关键词:  小麦;氮素评价指标  干氮比  干物质氮肥农学效率;光谱参量
英文关键词:Wheat  Nitrogen assessment index  Ratio of dry matter to amount of nitrogen  Dry matter agronomic efficiency of applied N  Spectral parameters
基金项目:国家自然科学基金项目(30760109、31071371、41161068)。
作者单位
刁万英,李少昆,王克如,金秀良, 陈 兵, 王方永,王 琼,房林峰,肖春华 (1.新疆兵团绿洲生态农业重点开放实验室/石河子大学新疆石河子 832003 2.中国农业科学院作物科学研究所/农业部作物生理生态与栽培重点开放实验室北京 100081 3.扬州大学农学院/农业部长江中下游作物生理生态与栽培重点开放实验室/江苏省作物遗传生理重点实验室江苏扬州 2250094.新疆农垦科学院棉花研究所新疆石河子 832003) 
摘要点击次数: 2150
全文下载次数: 2019
中文摘要:
      为了解应用遥感技术估测滴灌小麦氮肥利用效率的可行性,以新春17号、新春6号和新春22号为材料,通过大田试验,分析了不同施氮处理下小麦干物质氮肥偏生产力(RDN)和干物质氮肥农学效率(DMAEn)与光谱参数的相关关系,并建立小麦RDN和DMAEn的光谱参数估算模型。结果表明,在分蘖、抽穗和开花期RDN与绿度植被指数和比值植被指数呈极显著正相关,在拔节和抽穗期DMAEn与土壤调整比值植被指数和归一化差值植被指数呈显著正相关。光谱参数估算模型的均方根误差为7.64~33.31,说明利用光谱参数可以有效地估算小麦氮肥利用效率。
英文摘要:
      The aim of this study is to understand the feasibility of applying remote sensing to estimate nitrogen nutrition in wheat under drip irrigation. Field experiments were conducted with different wheat cultivars of Xinchun 17, Xinchun 6 and Xinchun 22, the relationship was analyzed between spectral parameters and the ratio of dry matter to amount of nitrogen (RDN) and dry matter agronomic efficiency of applied N (DMAEn), and the estimating models were established for RDN and DMAEn at the growth stages of wheat. The results indicated that there were highly significant correlations between the RDN with GreenNDVI and RVI at jointing, heading and anthesis stages, and there were significant correlations between the DMAEn with SARVI and NDVI at jointing and anthesis stages, the estimated models of RDN and DMAEn were established, and the root mean square errors (RMSE ) ranged from 7.64 to 33.31. The results indicated that the RDN and DMAEn can be effectively estimated by spectral parameters during growth stages of wheat.
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