Potential of Crop Simulation Models to Increase Food and Nutrition Security Under a Changing Climate in Nepal

Devkota, Krishna Prasad; Timsina, Jagadish; Amgain, Lal Prasad; Devkota, Mina

doi:10.1007/978-3-031-09555-9_23

Cited by 3 publications

(2 citation statements)

References 66 publications

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“…It has also shown that the NE ® Model treatment showed the extra benefit if farmers really desire to grow the maize as advocated by NE ® model treatments. At present, the lack of technical knowledge in making inventory of various production technologies of crops is lacking in Nepal and farmers are getting less profitability from their farming (Amgain et al, 2022;Devkota et al, 2022). The adoption of NE ® -Maize model would help the farmers to compare their production and profitability levels in advance in making the cropping system more scientific and technological.…”

Section: Resultsmentioning

confidence: 99%

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

Amgain,

Pandey,

Neupane

et al. 2023

J. Inst. Agric. Anim. Sci.

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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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Section: Resultsmentioning

confidence: 99%

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

Amgain,

Pandey,

Neupane

et al. 2023

J. Inst. Agric. Anim. Sci.

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“…(Right dose, Right time, Right method and Right source) to manage the fertilizers in the field. Nutrient Expert-Maize (NE), a computer-based decision support tool, enables the maize growing farmers to implement SSNM for their individual plots, utilizing the information given by the local experts to suggest meaningful yield for that location and formulate a fertilizer management strategy (IPNI, 2017, Ananda et al, 2017, and hence it symbolizes its valid applicability in rice, maize and wheat in the similar agro-climatic regions like in Nepalese context (Devkota et al, 2022, Sapkota et al, 2021, Amgain et al, 2016.…”

Section: Introductionmentioning

confidence: 99%

Assessing Growth, Productivity, Profitability and Yield Gaps of Spring Maize Using Site Specific Nutrient Management Approaches in Kailali

Nayak,

Amgain,

Ghimire

2024

J. Tikapur Mult. Campus

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A field experiment was conducted during spring season of 2023 at the sub-tropical climate of Tikapur, Kailali to evaluate the impact of site-specific nutrient management on growth, productivity, profitability and yield gaps of spring maize. The experiment followed a Randomized Complete Block Design (RCBD) with six treatment combinations and four replications. Maize seeds were sown in four different farms on 27 February, 2023 with different site-specific nutrient management (SSNM) approaches viz. with Nutrient Expert®-Maize recommended dose (T1), three omission plots i.e., Omission of Nitrogen (T2), Omission of Phosphorus (T3), Omission of Potassium (T4), Government Recommended Dose (T5), and Farmer’s Fertilizer Practices (T6). Using the Nutrient Expert® Maize model Computer Software, the SSNM+NE dose was recommended via a household survey in the respective farmer's field before the start-up of the experimentation. Various growth parameters, yield, yield attributing traits, and total cost of production of spring maize were recorded and subjected to analysis using Duncan's Multiple Range Test (DMRT) in R-studio. The results revealed that the highest grain yield (3.71 t ha-1) was achieved with SSNM+NE, which was statistically at par with the Government Recommendation Dose (3.12 t ha-1). Moreover, SSNM+NE showed significantly higher thousand grains weight (442.75 g) and straw yield (6.81 t ha-1), respectively. Notably, the straw yield, grain yield, and thousand grain weight of SSNM+NE were statistically comparable to those obtained with the government recommendation. Economic analysis showed higher benefit-cost ratio as well as increased net and gross returns in SSNM+NE as compared to the other nutrient management practices. The SSNM+NE and Governmental Recommended Fertilizer based treatments were about 231% and 178% advantageous over the Farmer’s Fertilizer Practices. It could be suggested that SSNM+NE would the best approach for increasing the growth, productivity and profitability of spring maize in the sub-tropical terai of Far Western Nepal.

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Introduction and Overview

Timsina¹,

Maraseni

Gauchan

et al. 2022

Sustainable Development Goals Series

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Potential of Crop Simulation Models to Increase Food and Nutrition Security Under a Changing Climate in Nepal

Cited by 3 publications

References 66 publications

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

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

Assessing Growth, Productivity, Profitability and Yield Gaps of Spring Maize Using Site Specific Nutrient Management Approaches in Kailali

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