ArticleBMC plant biology2016
Genome-wide association mapping of quantitative traits in a breeding population of sugarcane.
Article in BMC plant biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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.
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.
Who cites it
35 citing papers in PubMed, 112 citations in OpenAlex.
- Phenotype-genotype association for the identification of resistance to stem borers (Frontiers in plant science · 2026Article
- Multiomic insights into sucrose accumulation in sugarcane.Plant molecular biology · 2025Article
- Genetic association analysis in sugarcane (Saccharum spp.) for sucrose accumulation in humid environments in Colombia.BMC plant biology · 2024Article
- Sugarcane breeding: a fantastic past and promising future driven by technology and methods.Frontiers in plant science · 2024Article
- Genome-wide expansion and reorganization during grass evolution: from 30 Mb chromosomes in rice and Brachypodium to 550 Mb in Avena.BMC plant biology · 2023Article
- Association mapping in bambara groundnut [Vigna subterranea (L.) Verdc.] reveals loci associated with agro-morphological traits.BMC genomics · 2023Article
- Combination of GWAS and FMolecular genetics and genomics : MGG · 2023Article
- Population size in QTL detection using quantile regression in genome-wide association studies.Scientific reports · 2023Article
- A Genome-Wide Association Study and Genomic Prediction for Fiber and Sucrose Contents in a Mapping Population of LCP 85-384 Sugarcane.Plants (Basel, Switzerland) · 2023Article
- Evaluation of a Sugarcane (Plants (Basel, Switzerland) · 2023Article
- A first look at the ability to use genomic prediction for improving the ratooning ability of sugarcane.Frontiers in plant science · 2023Article
- All nonhomologous chromosomes and rearrangements inFrontiers in plant science · 2023Article
- Genome-Wide Association Analysis for Hybrid Breeding in Wheat.International journal of molecular sciences · 2022Article
- Comparative Transcriptome Analysis of Two Sugarcane Cultivars in Response to Paclobutrazol Treatment.Plants (Basel, Switzerland) · 2022Article
- Bioinformatic analyses to uncover genes involved in trehalose metabolism in the polyploid sugarcane.Scientific reports · 2022Article
- Identification of potential MTAs and candidate genes for juice quality- and yield-related traits in Saccharum clones: a genome-wide association and comparative genomic study.Molecular genetics and genomics : MGG · 2022Article
- Combining genomic selection with genome-wide association analysis identified a large-effect QTL and improved selection for red rot resistance in sugarcane.Frontiers in plant science · 2022Article
- Gene Editing Technologies for Sugarcane Improvement: Opportunities and Limitations.Sugar tech : an international journal of sugar crops & related industries · 2022Article
- Genome-wide approaches for the identification of markers and genes associated with sugarcane yellow leaf virus resistance.Scientific reports · 2021Article
- Chromosome behavior during meiosis in pollen mother cells from Saccharum officinarum × Erianthus arundinaceus FBMC plant biology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMolecular markers associated with relevant agronomic traits could significantly reduce the time and cost involved in developing new sugarcane varieties. Previous sugarcane genome-wide association analyses (GWAS) have found few molecular markers associated with relevant traits at plant-cane stage. The aim of this study was to establish an appropriate GWAS to find molecular markers associated with yield related traits consistent across harvesting seasons in a breeding population. Sugarcane clones were genotyped with DArT (Diversity Array Technology) and TRAP (Target Region Amplified Polymorphism) markers, and evaluated for cane yield (CY) and sugar content (SC) at two locations during three successive crop cycles. GWAS mapping was applied within a novel mixed-model framework accounting for population structure with Principal Component Analysis scores as random component.
resultsA total of 43 markers significantly associated with CY in plant-cane, 42 in first ratoon, and 41 in second ratoon were detected. Out of these markers, 20 were associated with CY in 2 years. Additionally, 38 significant associations for SC were detected in plant-cane, 34 in first ratoon, and 47 in second ratoon. For SC, one marker-trait association was found significant for the 3 years of the study, while twelve markers presented association for 2 years. In the multi-QTL model several markers with large allelic substitution effect were found. Sequences of four DArT markers showed high similitude and e-value with coding sequences of Sorghum bicolor, confirming the high gene microlinearity between sorghum and sugarcane.
conclusionsIn contrast with other sugarcane GWAS studies reported earlier, the novel methodology to analyze multi-QTLs through successive crop cycles used in the present study allowed us to find several markers associated with relevant traits. Combining existing phenotypic trial data and genotypic DArT and TRAP marker characterizations within a GWAS approach including population structure as random covariates may prove to be highly successful. Moreover, sequences of DArT marker associated with the traits of interest were aligned in chromosomal regions where sorghum QTLs has previously been reported. This approach could be a valuable tool to assist the improvement of sugarcane and better supply sugarcane demand that has been projected for the upcoming decades.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.