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黄河三角洲盐碱土冬小麦氮磷肥料效应模型研究
引用本文:单晶晶,陈小兵,尹春艳,文佩,颜坤,张立华,张立宾,付希强,孙海栓. 黄河三角洲盐碱土冬小麦氮磷肥料效应模型研究[J]. 中国生态农业学报, 2017, 25(7): 1016-1024. DOI: 10.13930/j.cnki.cjea.160986
作者姓名:单晶晶  陈小兵  尹春艳  文佩  颜坤  张立华  张立宾  付希强  孙海栓
作者单位:1. 中国科学院烟台海岸带研究所/中国科学院海岸带环境过程与生态修复重点实验室 烟台 264003;中国科学院大学 北京 100049;2. 中国科学院烟台海岸带研究所/中国科学院海岸带环境过程与生态修复重点实验室 烟台 264003;3. 东营市科技情报研究所 东营 257091;4. 山东省汇邦渤海农业开发有限公司 东营 257091
基金项目:国家重点研发计划课题(2016YFD0200303)、山东省重点研发计划(2016CYJS05A01-1)、东营市重点研发计划项目(2016YF17)和中国科学院海岸研究所部署项目(Y254021031)资助
摘    要:通过大田试验,研究了黄河三角洲盐碱土地区冬小麦合适的肥料效应模型。在冬小麦生长季设置4种不同的氮磷肥用量,根据"3414"试验设计8种不同的肥效试验处理,以探讨线性加平台、一元二次、平方根和二元二次4种不同模型的拟合效果。结果显示,4种肥料效应模型的拟合结果经检验都达到极显著水平(P0.01)。在一元肥料效应模型中,氮磷一元二次模型拟合效果最好,最高收益分别为7 448.3元·hm~(-2)和7 357.7元·hm~(-2),最佳经济氮磷用量分别为254.4 kg·hm~(-2)和98.6 kg·hm~(-2)。对比一元与二元模型,后者拟合效果较好,最佳经济氮磷用量分别为244.1 kg·hm~(-2)和94.2 kg·hm~(-2),即氮磷肥配比为2.6∶1,经济效益为7 432.4元·hm~(-2),氮肥农学利用率为6.2 kg(籽粒)·kg~(-1)(N),磷肥农学利用率为13.8 kg(籽粒)·kg~(-1)(P_2O_5)。结合拟合度、最佳经济施肥量、经济收益、肥料农学利用率和一元模型的局限性分析得出,二元二次肥料效应模型最优,可作为黄河三角洲地区盐碱土冬小麦氮磷肥效模型的最佳选择。

关 键 词:肥料效应模型  氮磷肥  最佳经济施肥量  冬小麦  盐碱土  黄河三角洲
收稿时间:2016-11-04
修稿时间:2017-02-24

Comparison of fertilizer-effect models on winter wheat response to nitrogen and phosphorus fertilizers in saline soils in the Yellow River Delta
SHAN Jingjing,CHEN Xiaobing,YIN Chunyan,WEN Pei,YAN Kun,ZHANG Lihu,ZHANG Libin,FU Xiqiang and SUN Haishuan. Comparison of fertilizer-effect models on winter wheat response to nitrogen and phosphorus fertilizers in saline soils in the Yellow River Delta[J]. Chinese Journal of Eco-Agriculture, 2017, 25(7): 1016-1024. DOI: 10.13930/j.cnki.cjea.160986
Authors:SHAN Jingjing  CHEN Xiaobing  YIN Chunyan  WEN Pei  YAN Kun  ZHANG Lihu  ZHANG Libin  FU Xiqiang  SUN Haishuan
Affiliation:Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation/Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China;University of Chinese Academy of Sciences, Beijing 100049, China,Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation/Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China,Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation/Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China;University of Chinese Academy of Sciences, Beijing 100049, China,Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation/Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China;University of Chinese Academy of Sciences, Beijing 100049, China,Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation/Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China,Key Laboratory of Coastal Zone Environmental Processes and Ecological Remediation/Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003, China,Dongying Institute of Scientific and Technical Information, Dongying 257091, China,Shandong Huibangbohai Agricultural Development Co. Ltd., Dongying 257091, China and Shandong Huibangbohai Agricultural Development Co. Ltd., Dongying 257091, China
Abstract:Salt-affected soils distribute widely across the Yellow River Delta, which inhibit plant growth and crop yield in this area. Although fertilizer application can alleviate the adverse impact of salinization on crop, little remains known about the per-formance of different fertilizer-effect models on simulation of '3414' fertilizer experiments in winter wheat field in saline soils. Among the essential elements, nitrogen (N) and phosphorus (P) are usually the most important nutrients limiting plant growth in saline or non-saline soils. In this study, four fertilizer-effect models were used to simulate the impact of N and P fertilizers on wheat yield in a field experiment in Lijin County of Shandong Province. The study aimed at selecting suitable fertilizer-effect model for wheat grown in saline soils in the Yellow River Delta. Four levels of N and P fertilizers (N: 0 kg·hm-2, 135 kg·hm-2, 170 kg·hm-2, 405 kg·hm-2; P: 0 kg·hm-2, 53 kg·hm-2, 105 kg·hm-2, 157.5 kg·hm-2) were set in eight treatments based on the '3414' test in order to investigate the fit effect of the four fertilizer-effect models — linear plus plateau, unary quadratic, square root and binary quadratic. To ensure the accuracy of fertilizer-effect models, the least square method was used in the statistical regression analysis. The results suggested that the four fertilizer-effect models had an extremely significant level (P < 0.01) based on the fit test. Unary quadratic model of effects of N and P fertilizers was the best among unary fertilizer-effect models, which suggested that the highest income levels were 7448.3 ¥·hm-2and 7357.7 ¥·hm-2 and the recommended N and P rates were 254.4 kg·hm-2and 98.6 kg·hm-2, respectively. Compared with the unary models, binary model was better. In binary model, the best N and P application amounts were respectively 244.1 kg·hm-2 and 94.2 kg·hm-2, with N to P ratio of 2.6. In the model, the economic benefit and agronomic efficiency of N and P were 7432.4 ¥·hm-2, 6.2 kg(grain)·kg-1(N) and 13.8 kg(grain)·kg-1(P2O5), respectively. On the basis of the fitted curve, the binary quadratic model had the better economic fertilizer rate, agronomic efficiency, economic benefits than the unary models. Then the binary quadratic fertilization model was the best for wheat cul-tivation in saline soils in Yellow River Delta.
Keywords:Fertilizer-effect model  Nitrogen and phosphorus fertilizers  Optimal economic fertilizer rate  Winter wheat  Saline soil  Yellow River Delta Abstract:Salt-affected soils distribute widely across the Yellow River Delta,which inhibit plant growth and crop yield in this
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