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辽西半干旱区浅埋滴灌水、氮、磷、锌耦合对春玉米产量的影响
引用本文:刘泳圻,谷健,孙仕军,赵旺,杨金鑫,马宁宁,王子豪,尹光华.辽西半干旱区浅埋滴灌水、氮、磷、锌耦合对春玉米产量的影响[J].植物营养与肥料学报,2021,27(5):898-908.
作者姓名:刘泳圻  谷健  孙仕军  赵旺  杨金鑫  马宁宁  王子豪  尹光华
作者单位:1.沈阳农业大学水利学院,沈阳 110866
基金项目:辽宁省教育厅科学研究经费项目(LSNFW201913);国家“十三五”重点研发计划项目(2018YFD0300301,2017YFD0300704);辽宁省自然科学基金项目(20180550617);辽宁省博士启动基金项目(2019-BS-259);中国博士后科学基金项目(2018M641708)
摘    要:  【目的】  研究辽西半干旱区浅埋滴灌条件下水肥耦合作用对玉米产量的影响,以确定玉米适宜的水肥因素组合。  【方法】  田间试验在辽宁西部半干旱地区 (砂壤土) 进行,供试作物为玉米。选取了灌水量 (W)、施氮量 (N)、施磷量 (P)、施锌量 (Zn) 等因素为自变量,产量 (Y) 为因变量,进行四因子五水平二次回归正交设计 (1/2实施) 试验,灌溉和施氮肥分4次进行,磷肥一次基施,锌肥在拔节期一次性施入。玉米收获后测产,依照二次回归正交试验设计 (1/2实施) 的统计方法建立了产量回归模型,采用频数分析法分析了W、N、P、Zn四因子及其交互作用对产量 (Y) 的影响。  【结果】  5个试验水平中,W、N、P、Zn单因子对产量促进作用均表现为先增加后降低,呈抛物线形趋势变化。单因子影响程度大小为W > N > Zn > P;二因子交互作用对产量影响大小为N × P > W × P > P × Zn > W × N > N × Zn > W × Zn;三因子之间亦存在着一定的相互作用关系。  【结论】  在辽西半干旱地区,水、氮、磷、锌四因子对春玉米产量的贡献大小顺序为W > N > Zn > P,两因子交互作用对产量贡献的大小顺序为N × P > W × P > P × Zn > W × N > N × Zn > W × Zn。依据频数分析结果,采用浅埋滴灌技术,当灌水量46~49 mm、施氮量172~209 kg/hm2、施磷量84~114 kg/hm2、施锌量10~13 kg/hm2时,玉米产量达到10000~12017 kg/hm2的置信区间为95%,该配比为辽西半干旱地区较为适宜的水肥配比方案。

关 键 词:浅埋滴灌    水肥耦合    交互效应    产量    春玉米
收稿时间:2020-09-18

Yield effects of coupling of nitrogen,phosphorus and zinc on spring maize under shallow buried drip irrigation in semi-arid area of western Liaoning Province
LIU Yong-qi,GU Jian,SUN Shi-jun,ZHAO Wang,YANG Jin-xin,MA Ning-ning,WANG Zi-hao,YIN Guang-hua.Yield effects of coupling of nitrogen,phosphorus and zinc on spring maize under shallow buried drip irrigation in semi-arid area of western Liaoning Province[J].Plant Nutrition and Fertilizer Science,2021,27(5):898-908.
Authors:LIU Yong-qi  GU Jian  SUN Shi-jun  ZHAO Wang  YANG Jin-xin  MA Ning-ning  WANG Zi-hao  YIN Guang-hua
Institution:1.College of Water Conservancy, Shenyang Agricultural University, Shenyang 110866
Abstract:  【Objectives】  To clarify the appropriate combination of water and fertilizer required for optimal maize yield, we studied the effect of water and fertilizer coupling on maize yield under shallow drip irrigation in semi-arid area of western Liaoning Province.  【Methods】  The field experiment was carried out in the semi-arid area (sandy loam) in the west of Liaoning Province. Four factors irrigation (W), nitrogen (N), phosphorus (P) and zinc (Zn)] were selected as independent variables, while yield (Y) was considered the dependent variable. Four factors and five levels quadratic regression orthogonal design (1/2 implementation) was used. Irrigation and N fertilizer application were divided into four times, P fertilizer was applied at sowing, and Zn was applied at elongation stage. According to the statistical method of quadratic regression orthogonal experiment design (1/2 implementation), the yield regression model was established. Frequency analysis method was used to analyze the effect of W, N, P, Zn and their interaction on yield (Y).  【Results】  Within the tested five levels of W, N, P and Zn, maize yield increased first and then decreased, showing a parabolic trend. Yield response to single factor was in order of W > N > Zn > P; maize yield response to two-factor interaction was in order of N × P > W × P > P × Zn > W ×N > N× Zn > W × Zn; and a certain interaction of three factors existed to some extent.  【Conclusions】  In the semi-arid area of western Liaoning, the contribution of water, N, P and Zn to spring maize yield was in order of W > N > Zn > P, and the contribution of two-factor interaction was in order of N × P > W × P > P × Zn > W × N > N × Zn > W × Zn. According to the results of frequency analysis, the confidence interval of maize yield reaching 10000–12017 kg/hm2 was 95% under irrigation amount of 46–49 mm, N application rate of 172–209 kg/hm2, P application rate of 84–114 kg/hm2, and Zn rate of 10–13 kg/hm2.
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