Evidence map›Paper›PMID 30305095›Full record

ArticleBMC plant biology2018

QTL detection for growth and latex production in a full-sib rubber tree population cultivated under suboptimal climate conditions.

João Ricardo Bachega Feijó Rosa, Camila Campos Mantello, Dominique Garcia, Lívia Moura de Souza, Carla Cristina da Silva, Rodrigo Gazaffi, Cícero Casimiro da Silva, Guilherme Toledo-Silva, Philippe Cubry, Antonio Augusto Franco Garcia and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-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

8 citing papers in PubMed, 31 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

12 authors at 7 institutions in 4 countries.

João Ricardo Bachega Feijó RosaDepartment of Genetics, Luiz de Queiros College of Agriculture (ESALQ), University of São Paulo (USP), Avenida Pádua Dias, 11, Pircacicaba, SP, 13400-970, Brazil.
Camila Campos MantelloMolecular Biology and Genetic Engineering Center (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil.
Dominique GarciaCIRAD, UMR AGAP, F-34398, Montpellier, France.
Lívia Moura de SouzaMolecular Biology and Genetic Engineering Center (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil.
Carla Cristina da SilvaMolecular Biology and Genetic Engineering Center (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil.
Rodrigo GazaffiCenter of Agronomic Sciences, Department of Biotechnology and Vegetal and Animal Production, Federal University of São Carlos (UFSCAR), Jardim Residencial Pedras Preciosas, Araras, SP, 13604900, Brazil.
Cícero Casimiro da SilvaPlantation E. Michelin, R&D Department, Rua João de Barro quadra 22 lote 16, Ouro Branco do Sul, Itiquira, MT, 78790-000, Brazil.
Guilherme Toledo-SilvaMolecular Biology and Genetic Engineering Center (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil.
Philippe CubryIRD, UMR DiADE, 911 avenue Agropolis, BP 64501, 34394, Montpellier cedex 5, France.
Antonio Augusto Franco GarciaDepartment of Genetics, Luiz de Queiros College of Agriculture (ESALQ), University of São Paulo (USP), Avenida Pádua Dias, 11, Pircacicaba, SP, 13400-970, Brazil.
Anete Pereira de SouzaMolecular Biology and Genetic Engineering Center (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil.
Vincent Le GuenCIRAD, UMR AGAP, F-34398, Montpellier, France. vincent.le_guen@cirad.fr.ORCID http://orcid.org/0000-0002-8791-9778
Universidade Estadual de Campinas (UNICAMP) · BRCentre de Coopération Internationale en Recherche Agronomique pour le Développement · FRMichelin (United States) · USUniversidade de São Paulo · BRAgropolis International · FRNational Institute of Agricultural Botany · GBUniversidade Federal de São Carlos · BR

Funding

SUBTHRESHOLD MUSCLE AFFERENT INPUT TO DORSAL HORNF06TW002012 · FIC · UNIVERSITY OF CALIFORNIA DAVIS · PI KAUFMAN, MARC PETER · 1995 to 1995
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Agence Nationale de la Recherche ANR-10-LABX-001-01 Labex AgroAgropolis Fondation 1102-008Conselho Nacional de Desenvolvimento Científico e Tecnológico 478701/2012-8; 402954/2012-2Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 2343/15-0Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 6087-14-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2009/14068-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2009/52975Fundação de Amparo à Pesquisa do Estado de São Paulo 2011/50188-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2012/50491-8Fundação de Amparo à Pesquisa do Estado de São Paulo 2013/20447-0
6 · The paper itself

Abstract

backgroundRubber tree is cultivated in mainly Southeast Asia and is by far the most significant source of natural rubber production worldwide. However, the genetic architecture underlying the primary agronomic traits of this crop has not been widely characterized. This study aimed to identify quantitative trait loci (QTLs) associated with growth and latex production using a biparental population established in suboptimal growth conditions in Brazil.

resultsA full-sib population composed of 251 individuals was developed from crossing two high-producing Asiatic rubber tree cultivars, PR 255 and PB 217. This mapping population was genotyped with microsatellite markers from enriched genomic libraries or transcriptome datasets and single-nucleotide polymorphism (SNP) markers, leading to construction of a saturated multipoint integrated genetic map containing 354 microsatellite and 151 SNP markers. Height and circumference measurements repeated over a six-year period and registration of cumulative latex production during six consecutive months on the same individuals allowed in-depth characterization of the genetic values of several growth traits and precocious latex production. Growth traits, circumference and height, were overall positively correlated, whereas latex production was not correlated or even negatively correlated with growth traits. A total of 86 distinct QTLs were identified, most of which were detected for only one trait. Among these QTLs, 15 were linked to more than one phenotypic trait (up to 4 traits simultaneously). Latex production and circumference increments during the last wintering period were associated with the highest numbers of identified QTLs (eleven and nine, respectively), jointly explaining the most significantly observed phenotypic variances (44.1% and 44.4%, respectively). The most important QTL for latex production, located on linkage group 16, had an additive effect of the male parent PB 217 and corresponded to a QTL at the same position detected in a previous study carried out in Thailand for the biparental population RRIM 600 x PB 217.

conclusionsOur results identified a set of significant QTLs for rubber tree, showing that the performance of modern Asiatic cultivars can still be improved and paving the way for further marker-assisted selection, which could accelerate breeding programs.

Indexed as

Quantitative Trait LociBrazilClimateHeveaLatexMicrosatellite RepeatsPhenotypePolymorphism, Single NucleotideLatexGenetic mappingHevea brasiliensisMarker-assisted selectionMixed modelRubber productionSNP marker

Identifiers

PMID30305095
PMCPMC6180592
OpenAlexW2896695959

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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.