Assessments of an Innovative Fertilizer Management Tool (Nutrient Expert®) for Improved Nutrient Management of Spring Maize at Rani Jamara Kulariya Irrigation Command Area of Tikapur, Kailali

L. Amgain, Prem Pandey, Sushil Neupane, B. Bhattarai, Jay B. Mahatra
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Abstract

A multi-locational field trials were assessed to know the innovative fertilizer management tool (Nutrient Expert®) for improved nutrient management of Spring Maize in Rani Jamara Kulariya Irrigation Project Command Area (RJKIPCA) of Tikapur, Kailali during spring season of 2021. The layout and planting of Spring Maize for NE® - Hybrid Maize model for 42 farmers’ fields (Tikapur-18, Janaki-18 and Lamkichuha-6)], and Nutrient Omission Plot Technique (NOPT) maize trials for 21 farmers’ fields (Tikapur-9, Janaki-9 and Lamkichuha-3) were grown using baby trail/ diamond trials in Randomized Complete Block Design (RCBD) considering farmers as replications. Data recording, tabulation, and analysis and interpretation of the data was performed by using ANOVA through the use of R Stat-software. Data analysis was also done for the yield gap analysis using percentage change in yield of Spring Maize over the location due to changes in crop cultivars and NOPT. The experimental results highlighted that most of the soils in the project site were deficit in N followed by K, with the minimum yield loss due to omission of P. The treatment; farmers' fertilizer practices (FFP) with their own cultivar has shown more decreasing trend in Spring Maize yields and it was more prominently seen within the farmers growing hybrid maize than the open pollinated variety (OPV). With huge percentage of yield gaps in Spring Maize denoted that the soil of Janaki and Tikapur were found to be more prone to N and K nutrients deficient than the soils of Lamkichuha. NE®- Hybrid Maize model has fairly predicted the Spring Maize yields and predicted the sound results on profitability with assured actual attainable yield over the FFP. Therefore, NE-model for Spring Maize is suggested to adopt as a recommended decision support system (DSS) tool in the project command areas of RJKIPCA, Tikapur, Kailali.
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Kailali Tikapur地区Rani Jamara Kulariya灌溉指挥区改良春玉米养分管理的创新肥料管理工具(养分专家®)评估
2021年春季,在Kailali Tikapur的Rani Jamara Kulariya灌溉项目指挥区(RJKIPCA)开展了多地点田间试验,以了解创新肥料管理工具(nutrition Expert®)对春玉米养分管理的改善。采用随机完全区组设计(RCBD),采用婴儿试验/菱形试验,考虑农户为重复,采用NE®-杂交玉米模型在42个农户(Tikapur-18、Janaki-18和Lamkichuha-6)中布置和种植春玉米,并在21个农户(Tikapur-9、Janaki-9和Lamkichuha-3)中进行养分遗漏小区技术(NOPT)玉米试验。数据的记录、制表、分析和解释通过使用R stat软件进行方差分析。利用春玉米产量随作物品种和NOPT变化的百分比变化进行了产量差距分析。试验结果表明,项目点土壤以氮亏后钾亏为主,缺磷造成的产量损失最小;农户对自有品种的施肥措施(FFP)对春玉米产量的影响更大,且在杂交玉米农户中比在开放授粉品种(OPV)农户中更为明显。春玉米产量缺口比例较大,表明Janaki和Tikapur土壤比Lamkichuha土壤更容易出现N和K养分缺乏。NE®-杂交玉米模型可以较好地预测春玉米产量,并预测了良好的盈利结果,确保了FFP的实际可实现产量。因此,建议在RJKIPCA、Tikapur、Kailali项目指挥区采用春玉米ne -模型作为推荐的决策支持系统(DSS)工具。
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