Assessment of engineered sustainable nitrogen fertilizers on lettuce development using physical sampling and image-based phenotyping

Efficient and sustainable nitrogen (N) management is critical for addressing the dual challenges of maximizing productivity and mitigating environmental impacts in short-cycle crops like lettuce. This study evaluates the agronomic performance and nutrient dynamics of eight N fertilizer treatments, including mechanochemically synthesized urea-based cocrystals, conventional urea, and mechanochemically synthesized carbonate salts alongside accessible digital phenotyping methods for a greenhouse-grown romaine lettuce system. Plant growth, biomass production, chlorophyll content, and soil nitrogen residues were measured alongside digital image-derived spectral indices from traditional photography. Engineered sulfate cocrystals (ZnSU and CuSU) performed comparable to or better than urea in promoting growth and nitrogen use efficiency, while engineered carbonates displayed moderate responses, likely due to slower N release. Traditional image-based indices such as NGRDI, HUE angle, and GCDM, as well as more unique visual calculations, effectively captured plant nutritional status and correlated with chlorophyll levels. Principal component and cluster analyses further distinguished treatment performance based on growth and color metrics. These findings demonstrate the potential of combining novel nitrogen delivery systems with low-cost phenotyping technologies to transform sustainable nutrient management practices across diverse crop systems. Key words: Mineral nutrition, Nutrient efficiency, Spectral indices, Soil dynamics, Greenhouse cultivation

Institutions

Publication Details

Published
2025-08-14
DOI
https://doi.org/10.22541/essoar.175518163.38683914/v1
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of engineered sustainable nitrogen fertilizers on lettuce development using physical sampling and image-based phenotyping

Cell Image Analysis Techniques
article

Assessment of engineered sustainable nitrogen fertilizers on lettuce development using physical sampling and image-based phenotyping

article en

Abstract

Efficient and sustainable nitrogen (N) management is critical for addressing the dual challenges of maximizing productivity and mitigating environmental impacts in short-cycle crops like lettuce. This study evaluates the agronomic performance and nutrient dynamics of eight N fertilizer treatments, including mechanochemically synthesized urea-based cocrystals, conventional urea, and mechanochemically synthesized carbonate salts alongside accessible digital phenotyping methods for a greenhouse-grown romaine lettuce system. Plant growth, biomass production, chlorophyll content, and soil nitrogen residues were measured alongside digital image-derived spectral indices from traditional photography. Engineered sulfate cocrystals (ZnSU and CuSU) performed comparable to or better than urea in promoting growth and nitrogen use efficiency, while engineered carbonates displayed moderate responses, likely due to slower N release. Traditional image-based indices such as NGRDI, HUE angle, and GCDM, as well as more unique visual calculations, effectively captured plant nutritional status and correlated with chlorophyll levels. Principal component and cluster analyses further distinguished treatment performance based on growth and color metrics. These findings demonstrate the potential of combining novel nitrogen delivery systems with low-cost phenotyping technologies to transform sustainable nutrient management practices across diverse crop systems. Key words: Mineral nutrition, Nutrient efficiency, Spectral indices, Soil dynamics, Greenhouse cultivation

Agricultural Research Service (US), Lehigh University (US)
Zero hunger
Openalex Percentile: Top 38%
Cell Image Analysis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.