2021
DOI: 10.1186/s12864-021-07762-4
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Molecular genetic diversity and population structure analyses of rutabaga accessions from Nordic countries as revealed by single nucleotide polymorphism markers

Abstract: Background Rutabaga or swede (Brassica napus ssp. napobrassica (L.) Hanelt) varies in root and leaf shape and colour, flesh colour, foliage growth habits, maturity date, seed quality parameters, disease resistance and other traits. Despite these morphological differences, no in-depth molecular analyses of genetic diversity have been conducted in this crop. Understanding this diversity is important for conservation and broadening the use of this resource. Results … Show more

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Cited by 13 publications
(17 citation statements)
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References 53 publications
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“…Though the Delta K approach is widely used, it gives a variable number of clusters at different combinations of burn-in lengths and MCMC lengths. We found this limitation of the Delta K approach in this study as well as in previous studies 120,121 . To overcome this limitation, four alternative statistics methods 77 were used, which revealed a consistent number (4 to 5) of clusters at different combinations of burn-in lengths and MCMC lengths.…”
Section: Population Structuresupporting
confidence: 80%
“…Though the Delta K approach is widely used, it gives a variable number of clusters at different combinations of burn-in lengths and MCMC lengths. We found this limitation of the Delta K approach in this study as well as in previous studies 120,121 . To overcome this limitation, four alternative statistics methods 77 were used, which revealed a consistent number (4 to 5) of clusters at different combinations of burn-in lengths and MCMC lengths.…”
Section: Population Structuresupporting
confidence: 80%
“…Each combination was replicated 10 times per K (K1–K10). We used both the Delta K approach 76 and four alternative statistics 77 to identify the optimum number of clusters as the Delta K approach gives a variable number of clusters at different combinations of burn-in lengths and MCMC lengths 120 , 121 . StructureSelector 78 was used for this purpose.…”
Section: Methodsmentioning
confidence: 99%
“…The population structure was determined based on the method of Yu et al (2021). In brief, a series of STRUCTURE analyses were run using the admixture and allele frequency correlated models, with burn-in lengths ranging from 5,000 to 100,000 iterations and Markov Chain Monte Carlo (MCMC) run lengths from 5,000 to 100,000 permutations, using STRUCTURE v2.3.4 (Pritchard et al, 2000).…”
Section: Bayesian Population Structure Analysismentioning
confidence: 99%