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不同降雨状况下渭北旱地春玉米临界氮稀释曲线与氮素营养诊断
基金项目:National Key Technology Support Program of China(2015BAD22B02);National High Technology Research and Development Program of China (863 Program)(2013AA102902);National Natural Science Foundation of China(31801300)
摘    要:过量施氮、降雨变率大和水氮耦合差是渭北旱地春玉米生产中氮肥高效利用的主要难题。构建渭北旱地不同降雨状况下春玉米临界氮稀释曲线,分析采用氮营养指数NNI诊断和评价旱地玉米氮素营养状况的可行性,为实现旱地玉米因雨合理施氮提供理论依据。以郑单958和陕单8806为试验材料,设置5个施氮量处理, 2016—2017年5个施氮量处理分别为0、75、150、270和360 kg hm-2, 2018—2019年施氮量调整为0、90、180、270和360 kg hm–2,文中依次用N0、N1、N2、N3、N4表示。其中2016年和2018年降水状况表现为穗期多雨,花粒期干旱; 2017年和2019年降水状况表现为穗期干旱,花粒期多雨,利用4年田间定位施氮试验数据构建并验证2种降雨状况下旱地春玉米临界氮稀释曲线模型。结果表明:(1)增施氮肥显著提高了旱地春玉米地上部生物量和植株含氮量,不同施氮量处理间差异显著。2种降雨状况下春玉米临界氮浓度和地上部生物量均符合幂指数关系,但模型参数之间存在差异(a.穗期多雨:Nc=35.98DM–0.35;b.穗期干旱:Nc=35.04DM–0.23)。模型拟合的植株氮浓度和实际氮浓度线性相关,穗期多雨年RMSE和n–RMSE分别为1.03、5.75%,穗期干旱年分别为1.53、6.78%,模型均具有较好稳定性。(2)在试验施氮量范围内,不同生育时期NNI随氮肥用量增加而增大,不同降雨状况下最佳施氮量存在差异。渭北旱地玉米最适施氮方案为基施氮肥150~180kghm–2,穗期多雨年追施氮肥45~75kghm–2。(3)氮营养指数NNI与相对吸氮量(RNupt)、相对地上部生物量(RDW)和相对产量(RY)均极显著相关,穗期多雨年NNI为1.02时, RY获得最大值,为0.95;穗期干旱年NNI为1.08时, RY获得最大值,为0.92。本研究建立的旱地玉米临界氮稀释曲线和氮营养指数,能够精准预测2种降雨状况下旱地春玉米拔节期至完熟期的氮素营养状况,对玉米生育季氮诊断及指导精确施氮具有重要意义。

收稿时间:2020-01-31

Critical nitrogen dilution curves and nitrogen nutrition diagnosis of spring maize under different precipitation patterns in Weibei dryland
Authors:LIU Peng-Zhao  SHI Zu-Jiao  NING Fang  WANG Rui  WANG Xiao-Li  LI Jun
Institution:College of Agronomy, Northwest A&F University/Key Laboratory of Crop Physiecology and Tillage Science in Northwestern Loess Plateau, Ministry of Agriculture, Yangling 712100, Shaanxi, China
Abstract:The excessive nitrogen (N) applications, large rainfall variations and poor water-nitrogen couplings are main problems to efficient nitrogen fertilizer uses in spring maize production of Weibei dryland. Critical nitrogen dilution curves under different rainfall scenarios in Weibei dryland were constructed in this study to analyze the feasibilities of diagnosing and evaluating nitrogen nutritional conditions in terms of nitrogen nutrition index (NNI), which would provide a theoretical basis for reasonable nitrogen fertilizations application of dryland maize in response to different rainfalls. The experiment design using Zhengdan 958 (ZD958) and Shaandan 8806 (SD8806) as tested materials was five treatments level, N applied at 0(N0), 75(N1), 150(N2), 270(N3), and 360(N4) kg hm-2 in 2016 and 2017, and at 0(N0), 90(N0), 180(N2), 270(N3), and 360(N4) kg hm-2 in 2018 and 2019, respectively. It was rainy at the ear stage and dry at the grain stage in 2016 and 2018, whereas dry at the ear stage and rainy at the grain stage in 2017 and 2019. Critical nitrogen dilution curve models for spring maize with two precipitation patterns were constructed and verified using the data collected in the four-year position nitrogen fertilization experiment. The results showed that: (1) increased nitrogen fertilizer application significantly increased aboveground biomass and plant N concentrations, and there were significantly different among different treatments. Both critical nitrogen concentrations (Nc) and aboveground biomass conformed the exponential relations with the two precipitation patterns, but there were differences between the parameters of the models for these relations (a. Rainy at the ear stage: Nc = 35.98DM-0.35; b. Dry at the ear stage: Nc = 35.04DM-0.23). The relatively stable model had a linear correlation between the fitted and actual plant N concentrations, which shown that the RMSE and n-RMSE were 1.03 and 5.75% at the ear stage over the rainy years and 1.53 and 6.78% at the ear stage in the dry years, respectively. (2) at the different growth stages, NNI were increased with the increased application, and there were differences in the optimal nitrogen application under different precipitation conditions. The optimum N rate in the form of basal fertilizers was 150-180 kg hm-2, and in the form of top dressing fertilizers was 45-75 kg hm-2 at the ear stage in the rainy years. The nitrogen nutrition index (NNI) was significantly correlated with relative nitrogen uptake (RNupt), as were relative aboveground biomass (RDW) and relative yield (RY). When the NNI was 1.02 at the ear stage in the rainy years, the maximum RY was 0.95; and when the NNI was 1.08 at the ear stage in the dry years, the maximum RY was 0.92. The critical nitrogen dilution curve model and nitrogen nutrition index model constructed in this study were able to accurately predict nitrogen nutrition conditions from jointing stage to maturity stage under the two precipitation patterns of spring maize. They would provide an important guidance for nitrogen diagnosis and fertilization application in maize growing stage.
Keywords:precipitation pattern  Weibei dryland  spring maize  critical nitrogen dilution curve  nitrogen nutrition index  
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