摘要
气候变化显著影响作物产量及产量构成,CO_(2)浓度和氮肥水平的交互作用对陇中黄土丘陵沟壑区旱地春小麦(Triticum aestivum L.)产量的影响效应并不明确。本研究以陇中黄土丘陵沟壑区为研究区域,利用甘肃农业大学试验区1970-2018年气象数据,运用APSIM模型对不同大气CO_(2)浓度和氮肥水平耦合变化下旱地春小麦的产量进行模拟,并采用二次多项式回归、单因素分析和通径分析研究了不同大气CO_(2)浓度和氮肥水平交互作用下对旱地春小麦产量的影响机制。结果表明:APSIM模型在试验区具有较高的精确度和适应性。在试验设计范围内,旱地春小麦产量与CO_(2)浓度呈开口向上的二次抛物线且无阈值出现,与施氮水平呈开口向下的二次抛物线变化且在N150(施氮量为150 kg/hm^(2))处出现阈值。CO_(2)浓度和施氮水平对春小麦产量均为正效应,且施氮水平对小麦产量影响在一定程度会出现报酬递减效应,每增加CO_(2)浓度100 mol/mol,最大增产可达13%,每增加施氮量50 kg/hm^(2),最大增产可达到3.1%。
Climate change significantly affected crop yield and yield composition,but the effect of the interaction of atmospheric CO_(2) concentration and nitrogen fertilizer level on the yield of the dry-land spring wheat(Triticum Aestivum L.)in the loess hilly and gully region of Central China remained unclear.In this study,the loess hilly and gully region in central Gansu Province was taken as the study area,and the meteorological data from 1970 to 2018 in the experimental area of Gansu Agricultural University were used to simulate the yield of spring wheat in the dryland under the coupling changes of atmospheric CO_(2) concentration and nitrogen fertilizer level.Quadratic polynomial regression,single factor analysis and path analysis were used to study the interaction mechanism of different atmospheric CO_(2) concentrations and nitrogen levels on the yield of spring wheat in the dryland.The results showed that the APSIM model had high accuracy and adaptability in the test area.Within the scope of the experimental design,the yield and CO_(2) concentration of spring wheat in dryland showed a quadratic parabola with an upward opening and no threshold,while the yield and Nitrogen level showed a quadratic parabola with an downward opening and a threshold at N150(150 kg/hm^(2)).Both CO_(2) concentration and Nitrogen application level had positive effects on spring wheat yield,and both had diminishing returned on wheat yield to a certain extent.The maximum yield increase could reach 13%when CO_(2) concentration was increased by 100 mol/mol,and 3.1%when nitrogen application was increased by 50 kg/hm^(2).
作者
高雪慧
刘强
王钧
GAO Xuehui;LIU Qiang;WANG Jun(College of Information Science and Technology,Gansu Agricultural University,Lanzhou,730070,China)
出处
《作物研究》
2021年第5期544-548,552,共6页
Crop Research
基金
甘肃省高等学校创新基金(2021B—122)
甘肃省教育厅产业支撑计划(2021CYZC-15)
甘肃省自然科学基金(20JR10RA509)
甘肃农业大学发展基金项目(GAV-XKFZJJ-2020-13)。
