Evidence map›Paper›PMID 40165049›Full record

ArticleBMC plant biology2025

Prediction of Sorghum bicolor (L.) distribution ranges provides insights on potential sorghum cultivation across tropical ecoregions of Indonesia.

Suyud Warno Utomo, Fatma Lestari, Andrio Adiwibowo, Micah R Fisher

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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5 · Who and what money

Authors and funding

4 authors.

Suyud Warno UtomoSchool of Environmental Science, Universitas Indonesia, Jakarta, 10430, Indonesia.
Fatma LestariDepartment of Occupational Health and Safety, Faculty of Public Health, Universitas Indonesia, Depok, 16424, West Java Province, Indonesia.
Andrio AdiwibowoDisaster Risk Reduction Center, Universitas Indonesia, Depok, 16424, West Java, Indonesia. andrioawibowo@ui.ac.id.
Micah R FisherEast-West Center, University of Hawaii, Honolulu, HI, USA.

Funding

Direktorat Riset and Pengembangan, Universitas Indonesia NKB-629/UN2.RST/HKP.05.00/2022
6 · The paper itself

Abstract

Sorghum bicolor (L.) is a plant species that has staple and medicinal potential and is common in tropical regions, including Southeast Asia regions. Despite sorghum being used widely, the information about potential distributions of sorghum in various ecoregions in Indonesia is still limited. Indonesia is a vast country with distinct ecoregions, with wet ecoregions in western parts of Indonesia and arid environments in eastern parts. The information on sorghum potential distribution in various ecoregions is important, and in this situation, this study aimed to model the sorghum potential distribution in various ecoregions using MaxEnt based machine learning. The total area of Indonesia that is suitable for sorghum is estimated to be 68,527,000 ha, or 28.17% of Indonesia's areas. Among all ecoregions in Indonesia, Sulawesi and Lesser Sunda, representing dry ecoregions, are having the largest suitable areas. The Lesser Sunda and Sulawesi ecoregions have the highest suitable percentages of 44.76% for Lesser Sunda and 21.53% for Sulawesi ecoregions. The lowest percentages were observed in the Sumatra, Kalimantan, and Papua ecoregions, representing wet ecoregions. This confirms that sorghum prefers the dry ecoregions, as high percentages of suitable areas are observed in these kinds of ecoregions.

Indexed as

SorghumEcosystemIndonesiaMachine LearningTropical ClimateEcoregionsIndonesiaMachine learningSorghumSuitable areas

Identifiers

PMID40165049
PMCPMC11956226

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LicenceCC BY-NC-ND
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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.