Evidence map›Paper›PMID 41140844›Full record

ArticleData in brief2025

Dataset of multi-trait analysis of maize hybrid under shading and drought stress based on GGE biplot, MTSI and MDIGI.

Mochamad Rafi Fauzan, Muhammad Ali Abdullah, Fadila Ridara, Debby Ustari, Dedi Ruswandi

Abstract read
In one paragraph

Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

5 authors.

Mochamad Rafi FauzanBioresources Management, Graduate School, Universitas Padjadajran, Lebakgede, Bandung, 40115, Indonesia.
Muhammad Ali AbdullahResearcher at PT Bumitama Gunajaya Agro (BGA).
Fadila RidaraDepartment of Agronomy, Faculty of Agriculture, Universitas Padjadjaran, Jatinangor, Sumedang 45363, Indonesia.
Debby UstariDepartment of Agronomy, Faculty of Agriculture, Universitas Padjadjaran, Jatinangor, Sumedang 45363, Indonesia.
Dedi RuswandiDepartment of Agronomy, Faculty of Agriculture, Universitas Padjadjaran, Jatinangor, Sumedang 45363, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This dataset presents the performance and stability analysis of 20 multi-parent maize hybrids evaluated under contrasting agroclimatic conditions, including normal, drought-stressed, and shade-stressed environments. Advanced multivariate techniques such as GGE Biplot, Multi-Trait Stability Index (MTSI), and Multi-Trait Genotype-Ideotype Distance Index (MGIDI) were employed to assess grain yield, biomass, and genotype adaptability. The results identified genotype R3-19 as the top performer in biomass under drought conditions during the second season (E6), while genotype R3-17 exhibited superior multi-trait stability across all tested environments. Environments E6 and E2 were found to be the most discriminative for selecting stress-tolerant genotypes. This comprehensive phenotypic dataset serves as a valuable resource for maize breeding programs focused on enhancing tolerance to abiotic stresses, particularly in the context of climate change. The findings contribute to the development of resilient maize varieties tailored for tropical environments.

Indexed as

Field CornsGGE BiplotMDIGIMTSI

Identifiers

PMID41140844
PMCPMC12550155

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.