Evidence map›Paper›PMID 27910900›Full record

ArticleScientific reports2016

Zn uptake behavior of rice genotypes and its implication on grain Zn biofortification.

Sarah E Johnson-Beebout, Johnvie Bayang Goloran, Francis H C Rubianes, Jack D C Jacob, Oliver B Castillo

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Genomic prediction of zinc-biofortification potential in rice gene bank accessions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  4. Article
  5. Review
  6. Article
  7. Article
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.

Sarah E Johnson-BeeboutCrop and Environmental Sciences Division, International Rice Research Institute, DAPO Box 7777 Metro Manila, Philippines.
Johnvie Bayang GoloranCrop and Environmental Sciences Division, International Rice Research Institute, DAPO Box 7777 Metro Manila, Philippines.
Francis H C RubianesCrop and Environmental Sciences Division, International Rice Research Institute, DAPO Box 7777 Metro Manila, Philippines.
Jack D C JacobDepartment of Chemical and Biomolecular Engineering, University of Houston, Texas, USA.
Oliver B CastilloAPOTEX, Incorporated, Toronto, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding Zn uptake dynamics is critical to rice grain Zn biofortification. Here we examined soil Zn availability and Zn uptake pathways as affected by genotype (high-grain Zn varieties IR69428 and IR68144), Zn fertilization and water management in two pot experiments. Results showed significant interactions (P < 0.05) between genotypes and Zn fertilization on DTPA (diethylenetriaminepentaacetic acid)-extractable soil Zn from early tillering to flowering. DTPA-extractable Zn in soils grown with IR69428 was positively correlated with stem (r = 0.78, P < 0.01), flagleaf (r = 0.60, P < 0.01) and grain (r = 0.67, P < 0.01) Zn concentrations, suggesting improved soil Zn availability and continued soil Zn uptake by IR69428 even at maturity. Conversely for IR68144, DTPA-extractable Zn was positively correlated only with leaf Zn uptake (r = 0.60, P < 0.01) at active tillering, indicating dependence on remobilization for grain Zn loading. Furthermore, the highest grain Zn concentration (P < 0.05) was produced by a combination of IR69428 and Zn fertilization applied at panicle initiation (38.5 μg g

Indexed as

GenotypeBiofortificationBiological TransportEdible GrainOryzaPentetic AcidPlant LeavesPlant RootsPlant StemsSoilZincPentetic AcidSoilZinc

Identifiers

PMID27910900
PMCPMC5133611

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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.