Evidence map›Paper›PMID 31752685›Full record

ArticleBMC plant biology2019

Seasonal and diurnal patterns of non-structural carbohydrates in source and sink tissues in field maize.

Xiao-Gui Liang, Zhen Gao, Li Zhang, Si Shen, Xue Zhao, Yun-Peng Liu, Li-Li Zhou, Matthew J Paul, Shun-Li Zhou

Abstract read
In one paragraph

Article in BMC plant biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 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

9 authors.

Xiao-Gui LiangCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
Zhen GaoCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
Li ZhangCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
Si ShenCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
Xue ZhaoCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
Yun-Peng LiuCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
Li-Li ZhouCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China.
Matthew J PaulCurrent address: Plant Science, Rothamsted Research, Harpenden, Hertfordshire, AL5 2JQ, UK. matthew.paul@rothamsted.ac.uk.
Shun-Li ZhouCollege of Agronomy and Biotechnology, China Agricultural University, Beijing, 100193, China. zhoushl@cau.edu.cn.ORCID http://orcid.org/0000-0002-4913-0645

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCarbohydrate partitioning and utilization is a key determinant of growth rate and of yield in plants and crops. There are few studies on crops in field conditions. In Arabidopsis, starch accumulation in leaves is a negative indicator of growth rate.

resultsHere, we wished to establish if starch accumulation in leaves could potentially be a marker for growth rate and yield in crops such as maize. We characterized daily patterns of non-structural carbohydrate (NSC) at different growth stages over two seasons for maize hybrids in the field. In 27 commercial hybrids, we found a significant negative relationship between residual starch in leaves and plant growth, but not with final yield and biomass. We then focused on three typical hybrids and established a method for calculation of C turnover in photosynthetic leaves that took into account photosynthesis, leaf area and NSC accumulation. The ratios of stored NSC decreased from approximately 15% to less than 4% with ongoing ontogeny changes from V7 to 28 days after pollination.

conclusionThe proportion rather than absolute amount of carbon partitioned to starch in leaves at all stages of development related well with yield and biomass accumulation. It is proposed that screening plants at an early vegetative growth stage such as V7 for partitioning into storage may provide a prospective method for maize hybrid selection. Our study provides the basis for further validation as a screening tool for yield.

Indexed as

Biological OntologiesBiomassCarbohydrate MetabolismCarbonCrops, AgriculturalPhotosynthesisPlant LeavesSeasonsStarchZea maysCarbonStarchCarbon allocationHybridsMaizeNon-structural carbohydratesOntogenyPhotosynthesisStarch

Identifiers

PMID31752685
PMCPMC6868840

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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.