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基于科学的决策支持,用于制定撒哈拉以南非洲地区的作物肥料推荐方案。

Science-based decision support for formulating crop fertilizer recommendations in sub-Saharan Africa.

作者信息

Rurinda Jairos, Zingore Shamie, Jibrin Jibrin M, Balemi Tesfaye, Masuki Kenneth, Andersson Jens A, Pampolino Mirasol F, Mohammed Ibrahim, Mutegi James, Kamara Alpha Y, Vanlauwe Bernard, Craufurd Peter Q

机构信息

International Plant Nutrition Institute (IPNI), c/o IFDC - East & Southern Africa Division, ICIPE Compound, Duduville - Kasarani, Thika Road, P. O. Box 30772-00100, Nairobi, Kenya.

African Plant Nutrition Institute, Lot 666 Hay, Moulay Rachid, 43150, Benguerir, Morocco.

出版信息

Agric Syst. 2020 Apr;180:102790. doi: 10.1016/j.agsy.2020.102790.

Abstract

In sub-Saharan Africa, there is considerable spatial and temporal variability in relations between nutrient application and crop yield, due to varying inherent soil nutrients supply, soil moisture, crop management and germplasm. This variability affects fertilizer use efficiency and crop productivity. Therefore, development of decision systems that support formulation and delivery of site-specific fertilizer recommendations is important for increased crop yield and environmental protection. Nutrient Expert (NE) is a computer-based decision support system, which enables extension advisers to generate field- or area-specific fertilizer recommendations based on yield response to fertilizer and nutrient use efficiency. We calibrated NE for major maize agroecological zones in Nigeria, Ethiopia and Tanzania, with data generated from 735 on-farm nutrient omission trials conducted between 2015 and 2017. Between 2016 and 2018, 368 NE performance trials were conducted across the three countries in which recommendations generated with NE were evaluated relative to soil-test based recommendations, the current blanket fertilizer recommendations and a control with no fertilizer applied. Although maize yield response to fertilizer differed with geographic location; on average, maize yield response to nitrogen (N), phosphorus (P) and potassium (K) were respectively 2.4, 1.6 and 0.2 t ha in Nigeria, 2.3, 0.9 and 0.2 t ha in Ethiopia, and 1.5, 0.8 and 0.2 t ha in Tanzania. Secondary and micronutrients increased maize yield only in specific areas in each country. Agronomic use efficiencies of N were 18, 22 and 13 kg grain kg N, on average, in Nigeria, Ethiopia and Tanzania, respectively. In Nigeria, NE recommended lower amounts of P by 9 and 11 kg ha and K by 24 and 38 kg ha than soil-test based and regional fertilizer recommendations, respectively. Yet maize yield (4 t ha) was similar among the three methods. Agronomic use efficiencies of P and K (300 and 250 kg kg, respectively) were higher with NE than with the blanket recommendation (150 and 70 kg kg). In Ethiopia, NE and soil-test based respectively recommended lower amounts of P by 8 and 19 kg ha than the blanket recommendations, but maize yield (6 t ha) was similar among the three methods. Overall, fertilizer recommendations generated with NE maintained high maize yield, but at a lower fertilizer input cost than conventional methods. NE was effective as a simple and cost-effective decision support tool for fine-tuning fertilizer recommendations to farm-specific conditions and offers an alternative to soil testing, which is hardly available to most smallholder farmers.

摘要

在撒哈拉以南非洲地区,由于土壤固有养分供应、土壤湿度、作物管理和种质不同,养分施用与作物产量之间存在显著的空间和时间变异性。这种变异性影响肥料使用效率和作物生产力。因此,开发支持制定和提供特定地点肥料建议的决策系统对于提高作物产量和环境保护至关重要。养分专家(NE)是一种基于计算机的决策支持系统,它使推广顾问能够根据肥料产量响应和养分利用效率生成田间或区域特定的肥料建议。我们利用2015年至2017年进行的735次田间养分缺失试验所产生的数据,对尼日利亚、埃塞俄比亚和坦桑尼亚的主要玉米农业生态区的NE进行了校准。2016年至2018年期间,在这三个国家进行了368次NE性能试验,将NE生成的建议与基于土壤测试的建议、当前的统一肥料建议以及不施肥的对照进行了评估。尽管玉米对肥料的产量响应因地理位置而异;平均而言,尼日利亚玉米对氮(N)、磷(P)和钾(K)的产量响应分别为2.4、1.6和0.2吨/公顷,埃塞俄比亚为2.3、0.9和0.2吨/公顷,坦桑尼亚为1.5、0.8和0.2吨/公顷。次要和微量养分仅在每个国家的特定地区提高了玉米产量。尼日利亚、埃塞俄比亚和坦桑尼亚的氮农艺利用效率分别平均为18、22和13千克籽粒/千克氮。在尼日利亚,NE推荐的磷量分别比基于土壤测试的建议和区域肥料建议低9和11千克/公顷,钾量分别低24和38千克/公顷。然而,三种方法的玉米产量(4吨/公顷)相似。NE的磷和钾农艺利用效率(分别为300和250千克/千克)高于统一建议(分别为150和70千克/千克)。在埃塞俄比亚,NE和基于土壤测试的建议分别比统一建议推荐的磷量低8和19千克/公顷,但三种方法的玉米产量(6吨/公顷)相似。总体而言,NE生成的肥料建议保持了较高的玉米产量,但肥料投入成本低于传统方法。NE作为一种简单且经济高效的决策支持工具,可根据农场特定条件微调肥料建议,为大多数小农户难以获得的土壤测试提供了一种替代方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b21a/7063700/eeacb362b677/gr1.jpg

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