Evidence map›Paper›PMID 39341860›Full record

ArticleNPJ microgravity2024

Nitrogen accountancy in space agriculture.

Kevin Yates, Aaron J Berliner, Georgios Makrygiorgos, Farrah Kaiyom, Matthew J McNulty, Imran Khan, Paul Kusuma, Claire Kinlaw, Diogo Miron, Charles Legg and 6 more

Abstract read
In one paragraph

Article in NPJ microgravity, 2024. 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

16 authors.

Kevin YatesCenter for the Utilization of Biological Engineering in Space (CUBES), Berkeley, CA, USA. kyates@ucdavis.edu.ORCID http://orcid.org/0000-0001-8509-8251
Aaron J BerlinerCenter for the Utilization of Biological Engineering in Space (CUBES), Berkeley, CA, USA. aaron.berliner@berkeley.edu.ORCID http://orcid.org/0000-0002-4817-3926
Georgios MakrygiorgosCenter for the Utilization of Biological Engineering in Space (CUBES), Berkeley, CA, USA.
Farrah KaiyomCenter for the Utilization of Biological Engineering in Space (CUBES), Berkeley, CA, USA.
Matthew J McNultyCenter for the Utilization of Biological Engineering in Space (CUBES), Berkeley, CA, USA.ORCID http://orcid.org/0000-0001-9025-102X
Imran KhanCenter for the Utilization of Biological Engineering in Space (CUBES), Berkeley, CA, USA.
Paul KusumaCenter for the Utilization of Biological Engineering in Space (CUBES), Berkeley, CA, USA.
Claire KinlawZea Biosciences Inc., Walpole, MA, USA.
Diogo MironZea Biosciences Inc., Walpole, MA, USA.
Charles LeggZea Biosciences Inc., Walpole, MA, USA.ORCID http://orcid.org/0000-0003-4530-1774
James WilsonZea Biosciences Inc., Walpole, MA, USA.
Bruce BugbeeCenter for the Utilization of Biological Engineering in Space (CUBES), Berkeley, CA, USA.
Ali MesbahCenter for the Utilization of Biological Engineering in Space (CUBES), Berkeley, CA, USA.
Adam P ArkinCenter for the Utilization of Biological Engineering in Space (CUBES), Berkeley, CA, USA.
Somen NandiCenter for the Utilization of Biological Engineering in Space (CUBES), Berkeley, CA, USA.
Karen A McDonaldCenter for the Utilization of Biological Engineering in Space (CUBES), Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-5145-9968

Funding

National Aeronautics and Space Administration (NASA) NNX17AJ31G
6 · The paper itself

Abstract

Food production and pharmaceutical synthesis are posited as essential biotechnologies for facilitating human exploration beyond Earth. These technologies not only offer critical green space and food agency to astronauts but also promise to minimize mass and volume requirements through scalable, modular agriculture within closed-loop systems, offering an advantage over traditional bring-along strategies. Despite these benefits, the prevalent model for evaluating such systems exhibits significant limitations. It lacks comprehensive inventory and mass balance analyses for crop cultivation and life support, and fails to consider the complexities introduced by cultivating multiple crop varieties, which is crucial for enhancing food diversity and nutritional value. Here we expand space agriculture modeling to account for nitrogen dependence across an array of crops and demonstrate our model with experimental fitting of parameters. By adding nitrogen limitations, an extended model can account for potential interruptions in feedstock supply. Furthermore, sensitivity analysis was used to distill key consequential parameters that may be the focus of future experimental efforts.

Identifiers

PMID39341860
PMCPMC11439006

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.