Establishing and assessing a new two-dimensional module in CERES-maize for maize production under mulched drip irrigation

IF 6.5 1区 农林科学 Q1 AGRONOMY
Dan Wang , Yan Mo , Juan Xiao , Guangyong Li
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Abstract

In view of the problem that the traditional CERES-maize model does not consider plastic film covering and the water balance module describes a one-dimensional movement of soil water, this study modified the input data of air temperature, which was compensated by the soil accumulative temperature under plastic film mulching, based on the invariance of growing degree days principle in the model, and established a two-dimensional (2D) CERES-Maize model. The 2D model was calibrated and verified with maize phenological period, aboveground biomass (AB), grain yield and yield components, and maize actual evapotranspiration (ETc act) during the whole growing season in 2015 and 2016 under mulched drip irrigation. Results indicated that the modified model effectively improved the simulating accuracy of maize phenological period and main growth indexes, which made the Absolute Relative Error (ARE) decrease by 11.2 %, 1.8 % and 2.1 % points for maize emergence, anthesis and maturity date respectively, and made the normalized Root Mean Square Error (nRMSE) reducing 1.5 % and 5.9 % points for grain number per ear and AB respectively, due to the compensation of soil temperature under film mulching for the air temperature during maize Sowing∼V6 (the sixth leaf) period. The 2D CERES-Maize model was established with a consideration of plastic film mulching effect on soil water evaporation and the two-dimensional water movement characteristics of drip irrigation. The simulating accuracy of 2D model was improved with a decrease of 1.5–2.5 % and 2.5–4.8 % points in nRMSE for grain yield and AB, respectively, compared with those of 1D model. The 2D model could simulate the differences of maize ETc act during the whole growing season under different irrigation quotas very well (nRMSE<10 %), and the simulating accuracy of 2D model was significantly improved with a decrease of 2.2–5.9 % points of nRMSE for maize ETc act, compared with that of 1D model. In conclusion, the 2D CERES-Maize model preliminarily established in this study basically realized the simulation of maize production under mulched drip irrigation, but how to consider the warming effect of plastic film mulching in the model remains to be further improved.
膜下滴灌玉米生产中CERES-maize新二维模块的建立与评价
针对传统CERES-maize模型未考虑地膜覆盖,水分平衡模块描述土壤水分一维运动的问题,基于模型中生长度天数不变性原理,对地膜覆盖下土壤积温补偿的气温输入数据进行修正,建立二维(2D) CERES-maize模型。利用2015年和2016年覆盖滴灌条件下全生长季玉米物候期、地上生物量(AB)、籽粒产量及产量组分、玉米实际蒸散量(ETc act)对二维模型进行了标定和验证。结果表明,改进后的模型有效提高了玉米物候期和主要生长指标的模拟精度,使玉米出苗期、花期和成熟期的绝对相对误差(Absolute Relative Error, ARE)分别降低11.2 %、1.8 %和2.1 %,使穗粒数和AB的归一化均方根误差(nRMSE)分别降低1.5 %和5.9 %。这是由于覆盖下的土壤温度补偿了玉米播种~ V6(第六叶)期间的气温。考虑地膜覆盖对土壤水分蒸发的影响和滴灌条件下二维水分运动特性,建立了二维CERES-Maize模型。2D模型的模拟精度较1D模型提高,籽粒产量和AB的nRMSE分别降低1.5 ~ 2.5 %和2.5 ~ 4.8 %。2D模型可以很好地模拟不同灌溉配额下玉米ETc行为在整个生长季的差异(nRMSE<10 %),2D模型的模拟精度显著提高,与1D模型相比,玉米ETc行为的nRMSE降低2.2-5.9 个百分点。综上所述,本研究初步建立的二维CERES-Maize模型基本实现了覆盖滴灌条件下玉米生产的模拟,但如何在模型中考虑地膜覆盖的增温效应还有待进一步完善。
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来源期刊
Agricultural Water Management
Agricultural Water Management 农林科学-农艺学
CiteScore
12.10
自引率
14.90%
发文量
648
审稿时长
4.9 months
期刊介绍: Agricultural Water Management publishes papers of international significance relating to the science, economics, and policy of agricultural water management. In all cases, manuscripts must address implications and provide insight regarding agricultural water management.
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