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基于临界氮浓度的小麦地上部氮亏缺模型
引用本文:赵犇,姚霞,田永超,刘小军,曹卫星,朱艳.基于临界氮浓度的小麦地上部氮亏缺模型[J].应用生态学报,2012,23(11):3141-3148.
作者姓名:赵犇  姚霞  田永超  刘小军  曹卫星  朱艳
作者单位:(南京农业大学/国家信息农业工程技术中心/江苏省信息农业高技术研究重点实验室, 南京 210095)
基金项目:教育部新世纪优秀人才支持计划项目(项目编号:NCET-08-0797)国家自然科学基金项目(项目编号:30871448,31201130)国家高技术研究发展计划项目(项目编号:2011AA100703)江苏省科技支撑计划项目(项目编号:BE2010395,BE2011351)江苏省自然科学基金项目(项目编号:BK2008330,BK2010453,BK2012361)江苏高校优势学科建设工程项目
摘    要:基于3年的大田试验,选择代表性的中蛋白小麦品种(扬麦16)和低蛋白小麦品种(宁麦13),分别构建了小麦地上部干物质临界氮浓度(Ncnc)稀释曲线模型、氮营养指数(NNI)模型和氮亏缺(Nand)模型.结果表明: 小麦地上部干物质临界氮浓度稀释曲线模型具有明确的生物学意义,小麦临界氮浓度与地上部最大干物质(DM)符合幂函数关系(扬麦16为Ncnc=4.65DM-0.44;宁麦13为Ncnc=4.33DM-0.45);小麦地上部氮营养指数模型可以准确诊断氮素营养状况;小麦地上部氮亏缺模型可以定量调控氮肥管理措施.利用2007-2008年的独立试验资料对小麦地上部干物质临界氮浓度稀释模型、氮营养指数模型和氮亏缺模型进行检验和测试,结果表明模型的准确性较高,普适性较强.本文所构建模型可以直接用于诊断调控小麦氮素营养,为小麦生产中精确施肥管理提供了较好的技术途径和理论基础.

关 键 词:小麦  临界氮浓度  氮素诊断  氮亏缺模型

Accumulative nitrogen deficit models of wheat aboveground part based on critical nitrogen concentration
ZHAO Ben,YAO Xia,TIAN Yong-chao,LIU Xiao-jun,CAO Wei-xing,ZHU Yan.Accumulative nitrogen deficit models of wheat aboveground part based on critical nitrogen concentration[J].Chinese Journal of Applied Ecology,2012,23(11):3141-3148.
Authors:ZHAO Ben  YAO Xia  TIAN Yong-chao  LIU Xiao-jun  CAO Wei-xing  ZHU Yan
Institution:(Jiangsu Key Laboratory for Information Agriculture/National Engineering and Technology Center for Information Agriculture/Nanjing Agricultural University, Nanjing 210095, China)
Abstract: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=4.65DM-0.44; Ningmai 13: Ncnc=4.33DM-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.
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