Evidence map›Paper›PMID 39906799›Full record

ArticleHeliyon2025

Enhancing food security while reducing environmental impacts: Life cycle assessment of cultivation-irrigation systems and yield gap closure in paddy fields.

Abdullah Darzi-Naftchali, Markus Berger, Fereshteh Batoukhteh, Ali Motevali

Abstract read
In one paragraph

Article in Heliyon, 2025. 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

4 authors.

Abdullah Darzi-NaftchaliWater Engineering Department, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
Markus BergerMultidisciplinary Water Management Group, Faculty of Engineering Technology, University of Twente, Enschede, Netherlands.
Fereshteh BatoukhtehWater Engineering Department, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.
Ali MotevaliDepartment of Mechanics of Biosystem Engineering, Sari Agricultural Sciences and Natural Resources University, Sari, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhancing food and water security is crucial, not only by preventing additional burdens on the environment but also by significantly mitigating existing environmental challenges. Dry direct-seeding of rice (DDSR) and yield gap (YG) reduction are effective in enhancing water productivity (WP) and food production. However, their related environmental impacts (EI) have received less attention. This study uses life cycle assessment and farmers' field data to analyze the EI of five rice cultivation-irrigation systems: transplanting with continuous flooding (T-CF), transplanting with alternate wetting and drying (T-AWD), DDSR with drip irrigation (DDSR-D), DDSR with sprinkler irrigation (DDSR-S), and DDSR with furrow irrigation (DDSR-F). Additionally, the energy productivity (EP) and WP of these systems were assessed. An environmental efficiency of YG reduction (EE) index was introduced as the ratio of EI reduction to YG reduction to evaluate the EI of closing YG. DDSR-D significantly reduced water, electricity, diesel fuel, and machinery use by 61-200 %, 14-64 %, 7-98 %, and 13-46 %, respectively. DDSR-D achieved the highest rice yield, which was 3.8 %, 4.4 %, 18.4 %, and 7.7 % higher than T-CF, T-AWD, DDSR-S, and DDSR-F, respectively. Compared with transplanting, DDSR increased EP and WP by 19.2 % and 63.8 %, respectively, and reduced CH

Indexed as

Drip irrigationDry-direct seedingLife cycle assessmentWater productivityYield

Identifiers

PMID39906799
PMCPMC11791232

What OpenQuestion holds

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LicenceCC BY
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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.