Evidence map›Paper›PMID 40366590›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Histochemical Assays for Analyzing Abscission Layer Development and Function in Rice.

Hao Wu, Qi He, Quan Wang

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Hao Wu *Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Qi He *Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Quan WangShenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China. wangquan03@caas.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This chapter outlines detailed methods and protocols for studying the structure and mechanisms of abscission layers (ALs) in rice. Utilizing rice spikelets as a primary example, these protocols provide comprehensive techniques for analyzing AL development, including tissue preparation, microscopy, and histochemical assays. The AL is a specialized tissue where cell separation takes place, and it is crucial for processes such as organ shedding and fruit drop. By examining the AL, researchers can uncover the physiological and genetic factors governing plant organ separation. These insights are pertinent for advancing agricultural practices and crop improvement, as understanding the dynamics of the AL can lead to the development of rice varieties with enhanced traits related to abscission and grain retention. These improvements can result in better yield stability and reduced post-harvest losses, which are essential for meeting the food demands of a growing global population. By focusing on the genetic and physiological mechanisms governing the AL, researchers can develop innovative strategies to optimize rice production and contribute to food security.

Indexed as

HistocytochemistryOryzaGene Expression Regulation, PlantAbscission layerElectron microscopy observationHistochemical stainRiceTension measurement

Identifiers

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Registered trials

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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.