Evidence map›Paper›PMID 32681148›Full record

ArticleScientific reports2020

P-dipping of rice seedlings increases applied P use efficiency in high P-fixing soils.

Aung Zaw Oo, Yasuhiro Tsujimoto, Njato Mickaël Rakotoarisoa, Kensuke Kawamura, Tomohiro Nishigaki

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Plant biotechnology (Tokyo, Japan) · 2025
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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.

Aung Zaw OoJapan International Research Center for Agricultural Sciences, 1-1 Ohwashi, Tsukuba, Ibaraki, 3058686, Japan.
Yasuhiro TsujimotoJapan International Research Center for Agricultural Sciences, 1-1 Ohwashi, Tsukuba, Ibaraki, 3058686, Japan. tsjmt@affrc.go.jp.
Njato Mickaël RakotoarisoaDépartement de Recherche Rizicoles (DRR), Centre National de Recherche Appliquée au Développement Rural (FOFIFA), BP 1690, Tsimbazaza, Antananarivo, Madagascar.
Kensuke KawamuraJapan International Research Center for Agricultural Sciences, 1-1 Ohwashi, Tsukuba, Ibaraki, 3058686, Japan.
Tomohiro NishigakiJapan International Research Center for Agricultural Sciences, 1-1 Ohwashi, Tsukuba, Ibaraki, 3058686, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Applied phosphorus (P) use efficiency is generally low due to the low mobility of P in soil and its affinity to form insoluble complexes. Localized P application nearby the root zone is a potential approach to overcome this issue in crop production. However, the interaction with soil conditions is little understood, which results in less effective application of this approach. Using root-box experiments and changing P-retention capacity of soils, we revealed that applied P use efficiency of rice can be substantially improved by dipping seedlings in P-enriched slurry at transplanting (P-dipping) even in highly P-fixing soils. Spatial analysis of soluble P in soils indicated that P-dipping creates a P hotspot because the P-enriched slurry is transferred with seedling roots. The P hotspot could have induced vigorous surface root and facilitated further P uptake from the spot. In contrast, the effect of conventional P incorporation depended on P-retention capacity of soils; no increases in soluble P content in soils or plant P uptakes were observed when P-retention capacity was high. Our finding of significant interaction between localized P application and a specific soil property should help improving applied P use efficiency and achieving sustainable rice production against depleting P fertilizer resources.

Identifiers

PMID32681148
PMCPMC7368074

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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.