Zhao Ben, Yao Xia, Tian Yong-Chao, Liu Xiao-Jun, Cao Wei-Xing, Zhu Yan
Jiangsu Key Laboratory for Information Agriculture/National Engineering and Technology Center for Information Agriculture/Nanjing Agricultural University, Nanjing 210095, China.
Ying Yong Sheng Tai Xue Bao. 2012 Nov;23(11):3141-8.
Based on three-year field experiments, three models of critical nitrogen concentration dilution curve, nitrogen nutrition index, and accumulative nitrogen deficit were constructed for the aboveground dry matter in medium protein wheat variety Yangmai 16 and low protein wheat variety Ningmai 13, respectively. The critical nitrogen concentration dilution curve model had specific biological meaning, i. e., there existed a negative power function correlation between shoot maximum dry matter (DM) and critical nitrogen concentration (Ncnc) (Yangmai 16: Ncnc = 4.65DM(-0.4); Ningmai 13: Ncnc = 4.33DM(-0.45)), the nitrogen nutrition index model could be used for accurate diagnosis of wheat plant nitrogen status, and the accumulative nitrogen deficit model could be used for quantitative regulation of nitrogen fertilizer management. The tests of the derived equations with independent experiment data (2007-2008) showed higher accuracy and reliable prediction, suggesting that the present models could be used for the diagnosis and regulation of wheat nitrogen nutrition, providing a key technical approach to precise fertilization management in wheat production.
基于三年的田间试验，分别构建了中蛋白小麦品种扬麦16和低蛋白小麦品种宁麦13地上部干物质的临界氮浓度稀释曲线、氮营养指数和累积氮亏缺三种模型。临界氮浓度稀释曲线模型具有特定生物学意义，即地上部最大干物质（DM）与临界氮浓度（Ncnc）之间存在负幂函数关系（扬麦16：Ncnc = 4.65DM(-0.4)；宁麦13：Ncnc = 4.33DM(-0.45)），氮营养指数模型可用于准确诊断小麦植株氮素状况，累积氮亏缺模型可用于氮肥管理的定量调控。利用独立试验数据（2007—2008年）对推导方程进行检验，结果表明具有较高的准确性和可靠的预测性，说明所建模型可用于小麦氮素营养的诊断和调控，为小麦生产精准施肥管理提供了关键技术途径。
