Evidence map›Paper›PMID 33677700›Full record

ArticleRice (New York, N.Y.)2021

Stable and Novel Quantitative Trait Loci (QTL) Confer Narrow Root Cone Angle in an Aerobic Rice (Oryza sativa L.) Production System.

Ricky Vinarao, Christopher Proud, Xiaolu Zhang, Peter Snell, Shu Fukai, Jaquie Mitchell

Open access · goldAbstract read
In one paragraph

Article in Rice (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.8field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Ricky VinaraoThe University of Queensland, School of Agriculture and Food Sciences, Brisbane, QLD, 4072, Australia.ORCID https://orcid.org/0000-0002-2420-1611
Christopher ProudThe University of Queensland, School of Agriculture and Food Sciences, Brisbane, QLD, 4072, Australia.ORCID https://orcid.org/0000-0002-6867-6360
Xiaolu ZhangThe University of Queensland, School of Agriculture and Food Sciences, Brisbane, QLD, 4072, Australia.ORCID https://orcid.org/0000-0002-8940-3599
Peter SnellDepartment of Primary Industries, Yanco Agricultural Institute, Yanco, NSW, 2703, Australia.
Shu FukaiThe University of Queensland, School of Agriculture and Food Sciences, Brisbane, QLD, 4072, Australia.ORCID https://orcid.org/0000-0002-1015-9395
Jaquie MitchellThe University of Queensland, School of Agriculture and Food Sciences, Brisbane, QLD, 4072, Australia. jaquie.mitchell@uq.edu.au.ORCID http://orcid.org/0000-0001-7641-7935
The University of Queensland · AUNew South Wales Department of Primary Industries · AU

Funding

Agrifutures Australia PRJ-011067
6 · The paper itself

Abstract

backgroundAerobic rice production (AP) may be a solution to the looming water crisis by utilising less water compared to traditional flooded culture. As such, development of genotypes with narrow root cone angle (RCA) is considered a key AP adaptation trait as it could lead to deeper rooting and ensure water uptake at depth. Quantitative trait loci (QTL) and genes associated with rooting angle have been identified in rice, but usually in conventional transplanted systems or in upland and drought conditions. This study aimed to identify QTL associated with RCA in AP systems using a recombinant inbred line population derived from IRAT109.

resultsFour experiments conducted in glasshouse and aerobic field conditions revealed significant genotypic variation existed for RCA in the population. Single and multiple QTL models identified the presence of eight QTL distributed in chromosomes 1, 2, 3, 4, and 11. Combined, these QTL explained 36.7-51.2% of the genotypic variance in RCA present in the population. Two QTL, qRCA1.1 and qRCA1.3, were novel and may be new targets for improvement of RCA. Genotypes with higher number of favourable QTL alleles tended to have narrower RCA. qRCA4 was shown to be a major and stable QTL explaining up to 24.3% of the genotypic variation, and the presence of the target allele resulted in as much as 8.6° narrower RCA. Several genes related to abiotic stress stimulus response were found in the qRCA4 region.

conclusionStable and novel genomic regions associated with RCA have been identified. Genotypes which had combinations of these QTL, resulted in a narrower RCA phenotype. Allele mining, gene cloning, and physiological dissection should aid in understanding the molecular function and mechanisms underlying RCA and these QTL. Ultimately, our work provides an opportunity for breeding programs to develop genotypes with narrow RCA and deep roots for improved adaptation in an AP system for sustainable rice production.

Indexed as

Aerobic productionQTL mappingRiceRoot cone angle

Identifiers

PMID33677700
PMCPMC7937586
OpenAlexW3134249947

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.