Evidence map›Paper›PMID 32435923›Full record

ArticleBotanical studies2020

Using a zero-inflated model to assess gene flow risk and coexistence of Brassica napus L. and Brassica rapa L. on a field scale in Taiwan.

Yuan-Chih Su, Po-Shung Wang, Jhih-Ling Yang, Hong Hong, Tzu-Kai Lin, Yuan-Kai Tu, Bo-Jein Kuo

Open access · goldAbstract read
In one paragraph

Article in Botanical studies, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 16% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

7 authors at 2 institutions in 1 country.

Yuan-Chih SuDepartment of Agronomy, National Chung Hsing University, No. 145 Xingda Road, South District, Taichung City, 40227, Taiwan (R.O.C.).
Po-Shung WangDepartment of Agronomy, National Chung Hsing University, No. 145 Xingda Road, South District, Taichung City, 40227, Taiwan (R.O.C.).
Jhih-Ling YangDepartment of Agronomy, National Chung Hsing University, No. 145 Xingda Road, South District, Taichung City, 40227, Taiwan (R.O.C.).
Hong HongDepartment of Agronomy, National Chung Hsing University, No. 145 Xingda Road, South District, Taichung City, 40227, Taiwan (R.O.C.).
Tzu-Kai LinDivision of Crop Science, Taiwan Agricultural Research Institute, No. 189, Zhongzheng Road, Wufeng District, Taichung City, 41362, Taiwan (R.O.C.).
Yuan-Kai TuDepartment of Agronomy, National Chung Hsing University, No. 145 Xingda Road, South District, Taichung City, 40227, Taiwan (R.O.C.).
Bo-Jein KuoDepartment of Agronomy, National Chung Hsing University, No. 145 Xingda Road, South District, Taichung City, 40227, Taiwan (R.O.C.). bjkuo@nchu.edu.tw.ORCID http://orcid.org/0000-0001-5144-9586
National Chung Hsing University · TWAgricultural Technology Research Institute · TW

Funding

Ministry of Science and Technology, Taiwan 104-2313-B-005-010-MY3
6 · The paper itself

Abstract

backgroundThe cropping area of genetically modified (GM) crops has constantly increased since 1996. However, currently, cultivating GM crops is associated with many concerns. Transgenes are transferred to non-GM crops through pollen-mediated gene flow, which causes environmental problems such as superweeds and introgressive hybridization. Rapeseed (Brassica napus L.), which has many GM varieties, is one of the most crucial oil crops in the world. Hybridization between Brassica species occurs spontaneously. B. rapa grows in fields as a weed and is cultivated as a crop for various purposes. Both B. rapa weeds and crops participate in gene flow among rapeseed. Therefore, gene flow risk and the coexistence of these two species should be studied.

resultsIn this study, field experiments were conducted at two sites for 4 years to evaluate gene flow risk. In addition, zero-inflated models were used to address the problem of excess zero values and data overdispersion. The difference in the number of cross-pollination (CP) events was nonsignificant between upwind and downwind plots. The CP rate decreased as the distance increased. The average CP rates at distances of 0.35 and 12.95 m were 2.78% and 0.028%, respectively. In our results, zero-inflated negative binomial models were comprehensively superior to zero-inflated Poisson models. The models predicted isolation distances of approximately 1.36 and 0.43 m for the 0.9% and 3% threshold labeling levels, respectively.

conclusionsCultivating GM crops is prohibited in Taiwan; however, the study results can provide a reference for the assessment of gene flow risk and the coexistence of these two species in Asian countries establishing policies for GM crops.

Indexed as

CoexistenceGene flowGenetically modified cropIsolation distanceRapeseedZero-inflated model

Identifiers

PMID32435923
PMCPMC7239968
OpenAlexW3027040809

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.