中国生态农业学报2017，Vol.25Issue(7)：1016-1024,9.DOI:10.13930/j.cnki.cjea.160986
黄河三角洲盐碱土冬小麦氮磷肥料效应模型研究
Comparison of fertilizer-effect models on winter wheat response to nitrogen and phosphorus fertilizers in saline soils in the Yellow River Delta
摘要
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.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Key words
Fertilizer-effect model/Nitrogen and phosphorus fertilizers/Optimal economic fertilizer rate/Winter wheat/Saline soil/Yellow River Delta分类
农业科技引用本文复制引用
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):1016-1024,9.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 This study was supported by the National Key R&D Projects of China (2016YFD0200303), Shandong Key R&D Project (2016CYJS05A01-1), Dongying Key R&D Project (2016YF17), and the Project of Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences (Y254021031). （2016YFD0200303）
