Simulation of soil mineral nitrogen dynamics in banana cover-cropping systems on andosol with the BANANA-N model

IF 4.5 1区 农林科学 Q1 AGRONOMY
Marie Ruillé , Elodie Dorey , Marc Dorel
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Abstract

The use of organic nitrogen (N) fertilizer and cover crops offer a potential alternative to the synthetic N fertilization in banana cropping systems. However, these changes in cultural practices alter the availability of mineral N and could result in a loss in yield in these agrosystems. Our objective was to develop a model based on existing models specific to banana cultivation to simulate soil mineral N in agroecological banana agrosystems on andosol. BANANA-N integrated several modifications: the simulation of atmospheric N fixation by legume cover crops, simulation at mat scale to take account of stand heterogeneity, and subdivision of the soil into two layers to better match the functioning of andosols. Then, the model was evaluated by comparing observed and simulated soil mineral N dynamics in banana cropping systems with contrasting N fertilization management. Although model formalisms imply simplifying assumptions, BANANA-N performs well in predicting above ground banana biomass with contrasting N fertilization management (0.27 ≤RRMSE≤0.42 and 0.7 ≤NSE≤0.86). The soil mineral nitrogen dynamics were fairly well predicted in sole cropping or intercropping with a grass plant (0.33 ≤RRMSE≤0.46), while it was poorly predicted when banana is grown in association with a leguminous plant (RRMSE≥0.53). This study presents the first calibration of the BANANA-N model, capable of assessing the impact of different fertilization strategies on banana productivity, and their potential contribution to maximize internal N recycling and minimize N losses to the environment.
香蕉覆盖-种植系统土壤矿质氮动态的香蕉- n模型模拟
有机氮肥和覆盖作物的使用为香蕉种植系统提供了一种潜在的替代氮肥的方法。然而,这些耕作方式的变化改变了矿质氮的可用性,并可能导致这些农业系统的产量损失。我们的目标是在现有香蕉种植模型的基础上建立一个模型,以模拟农业生态香蕉农业系统中土壤矿质氮。BANANA-N综合了几种修改:模拟豆科覆盖作物对大气氮的固定,在垫层尺度上模拟以考虑林分异质性,并将土壤细分为两层以更好地匹配土壤的功能。然后,通过比较不同氮肥管理下香蕉种植系统土壤矿质氮动态的观测值和模拟值,对模型进行评价。尽管模型形式意味着简化假设,但在不同氮肥管理下,banana -N在预测地上香蕉生物量方面表现良好(0.27 ≤RRMSE≤0.42和0.7 ≤NSE≤0.86)。单作或间作禾草对土壤矿质氮动态的预测效果较好(0.33 ≤RRMSE≤0.46),而香蕉与豆科植物对土壤矿质氮动态的预测效果较差(RRMSE≥0.53)。本研究首次对香蕉氮模型进行了校准,该模型能够评估不同施肥策略对香蕉生产力的影响,以及它们对最大限度地实现内部氮循环和最大限度地减少氮对环境的损失的潜在贡献。
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来源期刊
European Journal of Agronomy
European Journal of Agronomy 农林科学-农艺学
CiteScore
8.30
自引率
7.70%
发文量
187
审稿时长
4.5 months
期刊介绍: The European Journal of Agronomy, the official journal of the European Society for Agronomy, publishes original research papers reporting experimental and theoretical contributions to field-based agronomy and crop science. The journal will consider research at the field level for agricultural, horticultural and tree crops, that uses comprehensive and explanatory approaches. The EJA covers the following topics: crop physiology crop production and management including irrigation, fertilization and soil management agroclimatology and modelling plant-soil relationships crop quality and post-harvest physiology farming and cropping systems agroecosystems and the environment crop-weed interactions and management organic farming horticultural crops papers from the European Society for Agronomy bi-annual meetings In determining the suitability of submitted articles for publication, particular scrutiny is placed on the degree of novelty and significance of the research and the extent to which it adds to existing knowledge in agronomy.
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