| 光谱学与光谱分析 |
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| Estimated Nitrogen Nutrition Index Based on the Hyperspectral for Wheat of Drip Irrigation under Mulch |
| DIAO Wan-ying1, LI Shao-kun1, 2, WANG Ke-ru1, 2, JIN Xiu-liang1, 3, WANG Fang-yong4, CHEN Bing4, WANG Qiong1, WANG Kai1, XIAO Chun-hua1, 2* |
1. Key Laboratory of Oasis Ecology Agriculture of Xinjiang Construction Crops, Shihezi University, Shihezi 832003, China
2. Institute of Crop Sciences, Chinese Academy of Agricultural Sciences/National Key Facility for Crop Gene Resources and Genetic Improvement, Ministry of Agriculture, Beijing 100081, China
3. College of Agronomy, Yangzhou University/Key Laboratory of Crop Physiology, Ecology and Cultivation in Middle and Lower Reaches of Yangtse River of Ministry of Agriculture/Key Laboratory of Crop Genetics and Physiology of Jiangsu Province, Yangzhou 225009, China
4. Institute of Cotton, Xinjiang Academy of Agricultural Reclamation Sciences, Shihezi 832003, China |
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Abstract The accurate wheat management needs a reasonable nitrogen application, and it is one of the key measures for real-time and quantitatively monitoring of nitrogen status to gain the higher yield of wheat. In the present study, two field experiments were conducted with different nitrogen stress and wheat cultivars, the relationship was analyzed between spectral parameters and the partial factor productivity from applied N (PFPn), and the estimating model was established for PFPn in the growth stages of wheat. The result indicated that there was a highly significant correlation between the PFPn and GreenNDVI at jointing, the correlation coefficient (r) was 0.640 4, the estimating model of PFPn was established, and the root mean square errors(RMSE) was 0.459 7. The result indicated that the PFPn can be effectively estimated by using spectral parameters.
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Received: 2011-11-09
Accepted: 2012-02-28
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Corresponding Authors:
XIAO Chun-hua
E-mail: xiaochunhuaxj@163.com
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