Evidence map›Paper›PMID 36938016›Full record

ArticleFrontiers in plant science2023

Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection.

Ashok Singamsetti, Pervez H Zaidi, Kaliyamoorthy Seetharam, Madhumal Thayil Vinayan, Tiago Olivoto, Anima Mahato, Kartik Madankar, Munnesh Kumar, Kumari Shikha

Open access · goldFull text read
In one paragraph

Article in Frontiers in plant science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
25.8field-weighted citation impact, top 1% of its field
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

31 citing papers in PubMed, 65 citations in OpenAlex.

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  20. BreedingHeliyon · 2024
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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

9 authors at 4 institutions in 2 countries.

Ashok SingamsettiDepartment of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, India.
Pervez H ZaidiAsia Regional Maize Programme, The International Maize and Wheat Improvement Center (CIMMYT)-Hyderabad, Patancheru, India.
Kaliyamoorthy SeetharamAsia Regional Maize Programme, The International Maize and Wheat Improvement Center (CIMMYT)-Hyderabad, Patancheru, India.
Madhumal Thayil VinayanAsia Regional Maize Programme, The International Maize and Wheat Improvement Center (CIMMYT)-Hyderabad, Patancheru, India.
Tiago OlivotoDepartment of Plant Science, Federal University of Santa Cataria, Florianópolis, Brazil.
Anima MahatoIndian Council of Agricultural Research (ICAR) - Indian Agricultural Research Institute (IARI), Barhi, Jharkhand, India.
Kartik MadankarDepartment of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, India.
Munnesh KumarDepartment of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, India.
Kumari ShikhaDepartment of Genetics and Plant Breeding, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, India.
Banaras Hindu University · INInternational Maize and Wheat Improvement Center · INIndian Council of Agricultural Research · INUniversidade Federal de Santa Catarina · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unpredictable weather vagaries in the Asian tropics often increase the risk of a series of abiotic stresses in maize-growing areas, hindering the efforts to reach the projected demands. Breeding climate-resilient maize hybrids with a cross-tolerance to drought and waterlogging is necessary yet challenging because of the presence of genotype-by-environment interaction (GEI) and the lack of an efficient multi-trait-based selection technique. The present study aimed at estimating the variance components, genetic parameters, inter-trait relations, and expected selection gains (SGs) across the soil moisture regimes through genotype selection obtained based on the novel multi-trait genotype-ideotype distance index (MGIDI) for a set of 75 tropical pre-released maize hybrids. Twelve traits including grain yield and other secondary characteristics for experimental maize hybrids were studied at two locations. Positive and negative SGs were estimated across moisture regimes, including drought, waterlogging, and optimal moisture conditions. Hybrid, moisture condition, and hybrid-by-moisture condition interaction effects were significant (

Indexed as

climate-resilient maizedroughtgenotype-by-environment interaction (GEI)moisture regimesmulti-trait indexselection gainswaterlogging

Identifiers

PMID36938016
PMCPMC10020505
OpenAlexW4323045734

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read5
measurements read56
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.