Evidence map›Paper›PMID 42638725›Full record

ArticleFrontiers in plant science2026

Using mass-balance principles to optimize nutrition of lettuce.

Noah James Langenfeld, Bruce Bugbee

Abstract read
In one paragraph

Article in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Noah James LangenfeldDepartment of Plants, Soils & Climate, Utah State University, Logan, UT, United States.
Bruce BugbeeDepartment of Plants, Soils & Climate, Utah State University, Logan, UT, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The future of agriculture depends on ever more efficient uses of fertilizer inputs. Nutrient management approaches in closed-system hydroponic culture commonly emphasize the need to continuously monitor and control ion concentrations. Here we describe and validate a mass-balance approach that uses the ratio of growth to transpiration (water use efficiency) to calculate nutrient requirements and achieve optimal nutrition without the need for individual ion monitoring. We define optimal nutrition as the minimum fertilizer input to achieve maximum growth. The hydroponic solution volume was maintained by refilling with a nutrient solution in which ion concentrations were calculated based on previously measured leaf nutrient concentrations from healthy plants. Mass-balance recovery of most elements in this closed system was greater than 90%. The yield and nutrient uptake of three diverse lettuce cultivars was consistent over twenty-five consecutive crop cycles (707 days) without replacing any solution. Active absorption of nitrogen (N), phosphorus (P), and potassium (K) led to low and steady solution concentrations of 5 ppm N, 1 ppm P, and 10 ppm K. In the first of three studies, the concentrations of calcium, magnesium, sulfur, boron, and copper increased over time, which indicated that their concentrations were excessive in the refill solution. A high solution concentration did not result in "force feeding" these elements into the plants. Their concentrations were reduced in the second long-term study (seven crop cycles across 196 days) and further reduced in the third long-term study (nine crop cycles across 252 days). These nutrient reductions resulted in constant concentrations and an electrical conductivity of 0.3 mS cm

Indexed as

deep-water cultureplant nutritionrootzonetissue analysiszero-discharge

Identifiers

PMID42638725
PMCPMC13500615

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.