Lab·Reviewed

Maharjan Lab
Soil health, soil fertility, nutrient management, and environmental sustainability
Maharjan Soils Lab is part of the University of Nebraska-Lincoln Panhandle Research, Extension and Education Center in Scottsbluff. The lab integrates research, extension, and education on soil health and fertility, nutrient management, soil carbon, and practical strategies that improve farm productivity while protecting water and air quality.
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Mission Evidence Mark
Lab Research Evidence Score 61/100
Based on research currently indexed in OpenAgData.
Established evidence- Publications
- 8
- Citations
- 263
- Local Footprint
- 1
indexed evidence
scholarly validation
place-based evidence
Field-Tested Findings
What this hub's research has shown, in its own words.
What the measurements showed
Every measured effect in this hub's research, grouped by what was tried and what it was tried against.
Water supply to demand ratio (WS/WD) vs Control
General · 1 study · 2 effects
1 of 2 findings measured an increase.
Cropland conversion (cropping vs reference) vs Reference sites
General · 1 study · 1 effect
1 of 1 findings measured a decrease — adverse for this outcome.
Manuring vs Reference site
General · 1 study · 1 effect
1 of 1 findings measured an increase.
Nitrogen fertilizer rate (urea) vs Different N application rates
General · 1 study · 1 effect
0 of 1 findings measured an increase; 1 found no change.
Polymer-coated urea (PCU) vs Other treatment combinations (lower rates/sources)
General · 1 study · 1 effect
1 of 1 findings measured an increase.
Urea vs Polymer-coated urea (PCU)
General · 1 study · 1 effect
1 of 1 findings measured an increase.
9 measured effects across 3 studies · none confirmed against the source yet.
At a glance
Evidence Depth
8
total papers
Funding Base
2
unique funders
Local Fit
1 state
geographic coverage
Actionability
3 of 8
papers tagged with outcomes — tagging in progress
Key Topics
Recent Papers
Sujani De Silva, Dipak Santra, Cody F. Creech et al.
Polymer Coated Urea (PCU) improves mint yield and also reduces nitrous oxide emission
Lithma Kariyawasam Hetti Gamage, Saurav Das, Mitchell Stephenson et al.
Croplands at sites with manuring and no-till recorded lower soil organic matter depletion from reference-site levels (28%) than sites under continued conventional management.
Bijesh Maharjan, Saurav Das, Vesh R. Thapa et al.
The soil health cycle is proposed as a soil health management cycle encompassing human dimensions, management practices, and their effects on soil health indicators, leading to subsequent impacts on soil functions.
Saurav Das, Aaron Hird, Bijesh Maharjan et al.
Comparative soil health studies are critical in soil conservation and gauging the success of different management practices in soil health improvement. A primary challenge in these studies is the selection of a consistent natural reference site. Current choices vary widely, from minimally disturbed areas to pristine prairies. This methodological paper underscores the need for deliberate and thoughtful reference site selection for benchmark soil properties. Utilizing the State &Transition models, the study introduces a framework for this selection, drawing upon the ecological site (ES) and reference plant communities detailed in an ecological site description (ESD) within a respective Major Land Resource Area (MLRA). This study advocates for a localized classification within the framework of the Cropland Reference Ecological Unit (CREU), emphasizing the significance of local precipitation and soil data to ensure unbiased comparisons. Soil samples from eastern (MLRA 106) and western (MLRA 67A) Nebraska were collected, representing distinct pedogenetic and climatic differences. Analysis of soil organic matter between MLRAs displayed substantial variations, suggesting potential biases and complexities in soil health gap calculations when using reference sites and croplands not in the same MLRA, soil types (texture class), or precipitation zones. However, refining the comparisons by delineating the MLRA, soil, and precipitation zones within the framework of CREU yielded more consistent and realistic comparative data. Integrating the MLRA and ES, complemented by granular soil and precipitation data, provides a robust method for establishing soil health benchmark data.
Bijesh Maharjan, Saurav Das, Bharat Sharma Acharya
Growing calls and the need for sustainable agriculture have brought deserved attention to soil and to efforts towards improving or maintaining soil health. Numerous research and field experiments report soil health in terms of physicochemical and biological indicators, and identify different management practices that can improve it. However, the question remains how much of cultivated land has degraded since the dawn of agriculture? What is the maximum or realistically attainable soil health goal? Determination of a benchmark that defines the true magnitude of degradation and simultaneously sets potential soil health goals will optimize efforts in improving soil health using different practices. In this paper, we discuss a new term “Soil Health Gap” that is defined as the difference between soil health in an undisturbed native soil and current soil health in a cropland in a given agroecosystem. Soil Health Gap can be determined based on a general or specific soil property such as soil carbon. Soil organic carbon were measured at native grassland, no-till, conventionally tilled, and subsoil exposed farmlands. Soil Health Gap based on soil organic carbon was in order of no-till < conventional till < subsoil exposed farmland and subsequently, maximum attainable soil health goal with introduction of conservation practices would vary by an existing management practice or condition. Soil Health Gap establishes a benchmark for soil health management decisions and goals and can be scaled up from site-specific to regional to global scale.
Most Cited Paper
Strategic Snapshot
Primary topic: Soil Health
Primary outcome: Soil Health Improvement
Top funder concentration: 25%
Visit websiteTop Contributors
1. Bijesh Maharjan
126 citations
2. Saurav Das
126 citations
3. Bharat Sharma Acharya
120 citations
4. Mitchell Stephenson
6 citations
5. Vesh R. Thapa
8 citations
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