在尼泊尔奇特旺使用决策支持工具对春稻(Oryza sativa L.)进行精确氮管理

Kapil Bhattarai, K. Pandey, S. Marahatta, Manish Dhakal, Nama Raj Bhusal, R. Thapa
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摘要

一味施用氮肥往往会导致施肥不合理。为了解决这一问题,使氮肥的施用与作物的具体需求相一致,当务之急是节约氮肥资源,最大限度地提高氮肥吸收量和净收入,并减轻环境污染。为此,2022 年在尼泊尔 Chitwan 的 Kumroj 开展了一项田间试验,通过比较不同的精确氮肥管理方法,评估水稻生产的生长、产量和盈利能力。该研究采用随机完全区组设计,有七个处理和三次重复。处理包括氮肥管理决策支持工具,如绿色探索者(GS)、土壤植物分析发展(SPAD)仪和叶色图(LCC),结合氮肥基施(30 千克/公顷)、尿素压块深施(UDP)、聚合物包膜尿素(PCU)和肥料推荐剂量(RDF,120 千克/公顷)。对生长、产量、产量属性和财务数据进行了采集。氮素精准管理技术显著提高了水稻的生长和产量参数。GS 指导施肥的氮需求量最高(155 千克/公顷-1),而 SPAD(80 千克/公顷-1)和 UDP(78 千克/公顷-1)的用量较低。PCU 和 UDP 提高了株高、叶面积指数和地上部干物质。LCC、SPAD(6.44 吨/公顷-1)和 UDP(6.41 吨/公顷-1)处理的谷物产量较高(6.64 吨/公顷-1)。施用 GS 的秸秆产量最高(11.17 吨/公顷-1),而 LCC 的效益成本比最高(1.96)。这项研究认为,SPAD 和 UDP 具有节约氮资源的潜力,而 LCC 和 UDP 则有利可图。
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Precision Nitrogen Management in Spring Rice (Oryza sativa L.) using Decision Support Tools in Chitwan, Nepal
The blanket prescription of nitrogen (N) fertilizer often results in irrational fertilization. To address this issue and align the application of nitrogen fertilizers with the crop-specific demand, it is imperative to save nitrogen resources, maximize the uptake and net income, and subside environmental pollution. In this context, a field experiment was carried out in Kumroj, Chitwan, Nepal during 2022 to assess the growth, yield, and profitability of rice production by comparing different precision nitrogen management practices. The study was carried out in a randomized complete block design with seven treatments and three replications. The treatments included decision support tools for nitrogen management such as the Green Seeker (GS), the Soil plant analysis development Development (SPAD) meter, and the Leaf Color Chart (LCC) combined with basal application of nitrogen at 30 kg ha–1 and the Urea briquette Deep Placement (UDP), the Polymer Coated Urea (PCU), and the Recommended Dose of Fertilizers (RDF, 120 kg N ha–1). The growth, yield, yield attributes, and financial data were taken. Precision nitrogen management techniques significantly enhanced rice growth and yield parameters. GS–guided application required the highest nitrogen demand (155 kg ha–1), while SPAD (80 kg ha–1) and UDP (78 kg ha–1) resulted in lower usage. PCU and UDP enhanced plant height, leaf area index, and above–ground dry matter. Higher grain yield (6.64 t ha–1) was attained with LCC, SPAD (6.44 t ha–1), and UDP (6.41 t ha–1) treatments. GS application exhibited the highest straw yield (11.17 t ha–1), while LCC demonstrated the highest benefit–cost ratio (1.96). This study concluded that SPAD and UDP demonstrated the potential to save nitrogen resources, while LCC and UDP were found profitable.
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