Evidence map›Paper›PMID 36760637›Full record

ArticleFrontiers in plant science2023

Combining ability and testcross performance of multi-nutrient maize under stress and non-stress environments.

Nakai Matongera, Thokozile Ndhlela, Angeline van Biljon, Casper N Kamutando, Maryke Labuschagne

Abstract 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 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

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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.

Nakai MatongeraScientific and Industrial Research and Development Centre (SIRDC), Harare, Zimbabwe.
Thokozile NdhlelaGlobal Maize Program, International Maize and Wheat Improvement Centre (CIMMYT), Harare, Zimbabwe.
Angeline van BiljonDepartment of Plant Sciences, University of the Free State, Bloemfontein, South Africa.
Casper N KamutandoDepartment of Plant Production Sciences and Technologies, University of Zimbabwe, Harare, Zimbabwe.
Maryke LabuschagneDepartment of Plant Sciences, University of the Free State, Bloemfontein, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While significant progress has been made by several international breeding institutions in improving maize nutritional quality, stacking of nutritional traits like zinc (Zn), quality protein, and provitamin A has not received much attention. In this study, 11 newly introduced Zn-enhanced inbred lines were inter-mated with seven testers from normal, provitamin A and quality protein maize (QPM) nutritional backgrounds in order to estimate the general combining ability (GCA) and specific combining ability (SCA) for grain yield (GY) and secondary traits under stress conditions [(combined heat and drought stress (HMDS) and managed low nitrogen (LN)] and non-stress conditions [(summer rainfed; OPT) and well-watered (irrigated winter; WW)] in Zimbabwe. Lines L6 and L7 had positive GCA effects for GY and secondary traits under OPT and LN conditions, and L8 and L9 were good general combiners for GY under HMDS conditions. Superior hybrids with high GY and desirable secondary traits were identified as L10/T7 and L9/T7 (Zn x normal), L2/T4, L4/T4, L3/T5 (Zn x provitamin A), and L8/T6 and L11/T3 (Zn x QPM), suggesting the possibility of developing Zn-enhanced hybrids with high yield potential using different nutritional backgrounds. Both additive and dominance gene effects were important in controlling most of the measured traits. This suggests that selecting for desirable traits during inbred line development followed by hybridization and testing of specific crosses under different management conditions could optimize the breeding strategy for stacked nutritionally-enhanced maize genotypes.

Indexed as

abiotic stresscombining abilitydroughtmalnutritionmulti-nutrient maizenitrogenzinc-enhanced

Identifiers

PMID36760637
PMCPMC9902879

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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.