PLoS ONE · 2020 · 17 citations · 26 references
Plant GeneticsMolecular MarkersPutative Molecular MarkersGeneticsAgricultural EconomicsGenomicsGenomic SelectionCrop ImprovementPlant GenomicsGenetic AnalysisGenetic DiversityMolecular EcologyPublic HealthAgronomic TraitsQuantitative GeneticsElite SugarcaneAgricultural GeneticsStatistical GeneticsMolecular BreedingGenetic VariationPopulation GeneticsPlant BreedingBiologyBreeding Sugarcane CultivarsPopulation GenomicsMedicine
Sugarcane (Saccharum spp.) is an important economic crop, supplying up to 80% of the table sugar and ~60% of bio-ethanol worldwide. Due to population growth and dwindling fossil-fuel reserves, the demand for sugar and bio-ethanol requires significant improvement in sugarcane production. Breeding sugarcane cultivars with high-performance agronomic traits is undoubtedly the most efficient way to achieve this goal. Therefore, evaluating agronomic traits and dissecting underlying loci are critically important for this aim steps in providing genetic resources and molecular markers for selection. In this study, we assembled a diversity panel of 236 elite sugarcane germplasms originally collected from 12 countries. We evaluated 28 agronomic traits in the diversity panel with three replicates. The diversity panel was genotyped using amplified fragment length polymorphism markers, and a total of 1,359 markers were generated. Through the genome-wide association study, we identified three markers significantly associated with three traits evaluated at a stringent threshold (P < 0.05 after Bonferroni correction). The genotypes of the three associated markers grouped respective trait values into two distinct groups, supporting the reliability of these markers for breeding selection. Our study provides putative molecular markers linked to agronomic traits for breeding robust sugarcane cultivars. Additionally, this study emphasized the importance of sugarcane germplasm introduced from other countries and suggested that the use of these germplasms in breeding programs depends on local industrial needs.
26
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 352.8K citations · Full text
MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0
Koichiro Tamura, Glen Stecher, Daniel S. Peterson et al. · Molecular Biology and Evolution · 2013 · 47.5K citations · Full text
AFLP: a new technique for DNA fingerprinting
Pieter Vos, René C. J. Hogers, Marjo Bleeker et al. · Nucleic Acids Research · 1995 · 12.4K citations · Full text
<i>adegenet</i>: a R package for the multivariate analysis of genetic markers
Thibaut Jombart · Bioinformatics · 2008 · 7.7K citations
James J. Kozich, Sarah L. Westcott, Nielson T. Baxter et al. · Applied and Environmental Microbiology · 2013 · 7.2K citations · Full text