Evidence map›Paper›PMID 30352090›Full record

ArticlePloS one2018

Optimal nitrogen regimes compensate for the impacts of seedlings subjected to waterlogging stress in summer maize.

Wenming Wu, Shiji Wang, Hongjian Chen, Youhong Song, Lin Zhang, Chen Peng, Lili Jing, Jincai Li

Abstract read
In one paragraph

Article in PloS one, 2018. 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

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3 · Its place in the literature

Who cites it

5 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

8 authors.

Wenming WuAnhui Academy of Agricultural Sciences, Tobacco Research Institute/Maize Research Center, Hefei, P. R. China.
Shiji WangAnhui Academy of Agricultural Sciences, Tobacco Research Institute/Maize Research Center, Hefei, P. R. China.
Hongjian ChenAnhui Academy of Agricultural Sciences, Tobacco Research Institute/Maize Research Center, Hefei, P. R. China.
Youhong SongAnhui Agricultural University, School of Agronomy, Hefei, P. R. China.
Lin ZhangAnhui Academy of Agricultural Sciences, Tobacco Research Institute/Maize Research Center, Hefei, P. R. China.
Chen PengAnhui Academy of Agricultural Sciences, Tobacco Research Institute/Maize Research Center, Hefei, P. R. China.
Lili JingAnhui Academy of Agricultural Sciences, Tobacco Research Institute/Maize Research Center, Hefei, P. R. China.
Jincai LiAnhui Agricultural University, School of Agronomy, Hefei, P. R. China.ORCID 0000-0003-3141-4268

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A field experiment was performed to explore the compensation effects of different nitrogen (N) regimes on the growth and photosynthetic capacity in different leaf layers of the summer maize hybrid of LuYu9105 under waterlogging at the seedling stage. The results showed that waterlogging significantly decreased the maximum green leaf area (gLA) by 10.0~15.3% and 9.3~22.5%, mainly due to the reduction in the below-ear layer leaves at the silking stage in 2014 and 2015, respectively. Waterlogging also significantly decreased the ear leaf photosynthetic rate (PN), and Fv/Fm, Fv/Fo, ΦPSII and qP at the below-ear layer leaves at the mid- and late-filling stages, which was accompanied by a reduction in the duration of grain-filling (T) by 2.6~5.9%, thus resulting in a loss of grain yield by 7.0~18.5%. Interestingly, a shift in N from basal application to topdressing at the big flare stage was shown to compensate the adverse effects of waterlogging by through increased gLA and leaf photosynthetic capacity at the ear layer and the above-ear layer, as well as a greater grain-filling rate, resulting in an increase in grain yield by 9.9~27.0% and 17.8~25.8% compared to other N treatments. Therefore, this study showed that optimal nitrogen regimes during maize growth are capable of compensating for the impacts caused by waterlogging at the seedling stage.

Indexed as

FertilizersBiomassEdible GrainNitrogenPhotosynthesisPlant LeavesSeasonsSeedlingsStress, PhysiologicalWaterZea maysFertilizersNitrogenWater

Identifiers

PMID30352090
PMCPMC6198986

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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.