Evidence map›Paper›PMID 39378206›Full record

ArticlePloS one2024

Genotype by environment interaction across water regimes in relation to cropping season response of quinoa (Chenopodium quinoa).

Van Loc Nguyen, Hue Nhan Luu, Thi Hong Nhung Phan, Viet Long Nguyen, Duc Ha Chu, Daniel Bertero, Néstor Curti, Peter C McKeown, Charles Spillane

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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

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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.

Van Loc NguyenFaculty of Agronomy, Vietnam National University of Agriculture, Hanoi, Vietnam.ORCID 0000-0003-3528-0551
Hue Nhan LuuStudent at Faculty of Agronomy, Vietnam National University of Agriculture, Hanoi, Vietnam.
Thi Hong Nhung PhanFaculty of Agronomy, Vietnam National University of Agriculture, Hanoi, Vietnam.
Viet Long NguyenFaculty of Agronomy, Vietnam National University of Agriculture, Hanoi, Vietnam.
Duc Ha ChuFaculty of Agricultural Technology, University of Engineering and Technology, Vietnam National University Hanoi, Hanoi, Vietnam.ORCID 0000-0003-0087-9994
Daniel BerteroDepto, de Producción Vegetal, Facultad de Agronomía, Universidad de Buenos Aires and IFEVA-Conicet, Buenos Aires, Argentina.
Néstor CurtiEscuela de Agronomía, National University of Salta, Salta, Argentina.
Peter C McKeownAgriculture, Food Systems & Bioeconomy Research Centre, Ryan Institute, University of Galway, Galway, Ireland.
Charles SpillaneAgriculture, Food Systems & Bioeconomy Research Centre, Ryan Institute, University of Galway, Galway, Ireland.ORCID 0000-0003-3318-323X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genotype × environment (GxE) interaction effects are one of the major challenges in identifying cultivars with stable performance across agri-environments. In this study we analysed GE interactions to identify quinoa (Chenopodium quinoa) cultivars with high and stable yields under different soil moisture regimes, representing control conditions, waterlogging and drought. Waterlogging and drought treatments were artificially induced using normoxia, a combination of hypoxia-normoxia, and 10% PEG (Polyethylene glycol) under hydroponic growth conditions, respectively. Both waterlogging and drought conditions significantly reduced the plant height (PH), number of leaves (NoL) and number of branches (NoB), stem diameter (SD), leaf area (LA) and dry weight (DW) of quinoa genotypes. The genotype, water regime, and genotype by water regime effects all significantly affected the measured quinoa traits. Based on the additive main effects and multiplicative interaction (AMMI) model for DW, the genotypes G18, Puno, Q4, 2-Want, Puno, Real1 x Ruy937 and Titicaca were found to exhibit tolerance and were stable across water regimes. A second-stage evaluation was conducted to test genotype × environment interaction effects in crop production field trials, selecting two contrasting seasons based on soil moisture conditions involving a diverse set of genotypes (58 varieties in total). Our results demonstrate significant variations in both growth and yield among the quinoa genotypes across the cropping seasons. The GGE analysis for grain yield indicate that field conditions matched to G × E under hydroponic experimental conditions and the cultivars G18, Q1, Q4, NL-3, G28, 42-Test, Atlas and 59-ALC were classified within a range of high productivity. Our findings provide a basis for understanding the mechanisms of wide adaptation, while identifying germplasm that enhances the water stress tolerance of quinoa cultivars at early growth stages.

Indexed as

Chenopodium quinoaDroughtsGene-Environment InteractionGenotypeSeasonsWaterPlant LeavesSoilSoilWater

Identifiers

PMID39378206
PMCPMC11460699

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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.