Co-benefits of a customized nutrient management approach tailored to smallholder farming for cabbage (Brassica oleracea L.)

IF 4.5 1区农林科学 Q1 AGRONOMY

European Journal of Agronomy Pub Date : 2024-11-29 DOI:10.1016/j.eja.2024.127453

Mengjiao Liu , Binggeng Yang , Xiya Wang , Xinpeng Xu , Wencheng Ding , Ping He , Wei Zhou

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引用次数: 0

Abstract

The inappropriate use of fertilizers in cabbage (Brassica oleracea L.) production is widespread worldwide; however, there are few easily implementable methods of fertilizer application rates suitable for smallholders. We established a nutrient expert system for cabbage (NEc) using data collected in China’s cabbage-growing regions from 2000 to 2023. The NEc addressed issues related to nutrient-application imbalances and excessive fertilization by optimizing N, P₂O₅, and K₂O usage based on yield responses, agronomic efficiency, and nutrient uptake. Additionally, field experiments were conducted to assess the utility of NEc in terms of yields, economic benefits, and nutrient-recovery efficiency compared to farmers’ practices (FP). The resulting database revealed a significant quadratic relationship (P < 0.05) between the yield response and agronomic efficiency. Quantitative evaluation of the fertility of tropical soils model, used to simulate optimal nutrient demands, reveals that the simulated nutrient requirements for N, P, and K increase linearly as the yield increases when the target yield is within 70 % of potential yield. In other words, to produce 1 Mg of cabbage, it requires 2.46 kg of N, 0.33 kg of P and 2.26 kg of K. The statistical results of collected data showed that optimal fertilization significantly (P < 0.05) enhanced cabbage yield, nutrient utilization efficiency, and net benefit. It was observed that fertilizer application rate exerted a direct and positive impact on these parameters. Field verification experiment demonstrated that NEc led to co-benefits, including a 7 % increase in yield, a 15.2 % increase in net profit, and improved agronomic efficiency (14.7 %∼101.2 %) compared to FP. The NEc approach enabled optimization of fertilizer applications based on specific production conditions, thereby enhancing cabbage yield, economic benefits, and nutrient-recovery efficiency. Thus, the NEc approach developed in this study was superior over traditional fertilization methods and is highly suitable for small-scale cabbage farming.

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为小农白菜（甘蓝）量身定制的营养管理方法的协同效益

在世界范围内，白菜生产中化肥的不当使用是普遍存在的；然而，很少有适合小农的易于实施的施肥率方法。利用2000 - 2023年中国大白菜产区的数据，建立了大白菜营养专家系统。NEc根据产量响应、农艺效率和养分吸收，通过优化N、P2O5和K2O的使用，解决了与养分施用不平衡和过度施肥相关的问题。此外，还进行了田间试验，以评估与农民做法（FP）相比，NEc在产量、经济效益和养分恢复效率方面的效用。结果数据库显示了显著的二次关系(P <；产量响应与农艺效率之间的差异为0.05)。通过对热带土壤肥力模型的定量评价，模拟了最佳养分需要量，结果表明，当目标产量在潜在产量的70% %以内时，模拟的氮、磷、钾养分需要量随产量的增加而线性增加。也就是说，生产1 Mg白菜需要2.46 kg N、0.33 kg P和2.26 kg k。收集数据的统计结果表明，最佳施肥显著(P <；0.05)提高了白菜产量、养分利用效率和净效益。结果表明，施肥量对这些参数有直接的正向影响。田间验证试验表明，与FP相比，NEc带来了共同效益，包括产量提高7 %，净利润提高15.2 %，农艺效率提高14.7 % ~ 101.2 %。NEc方法可以根据具体生产条件优化肥料施用，从而提高白菜产量、经济效益和养分回收效率。因此，本研究开发的NEc方法优于传统施肥方法，非常适合小规模白菜种植。

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来源期刊

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.