Additional file 1: Table S1. of Genetic diversity and population structure analysis to construct a core collection from a large Capsicum germplasm Article Swipe
Hea‐Young Lee
,
Na‐Young Ro
,
Hee-Jin Jeong
,
Jin‐Kyung Kwon
,
Jinkwan Jo
,
Yeaseong Ha
,
Ayoung Jung
,
Ji-Woong Han
,
Jelli Venkatesh
,
Byoung‐Cheorl Kang
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.6084/m9.figshare.c.3625070_d1
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.6084/m9.figshare.c.3625070_d1
Summary of SNP markers used in the genetic analysis of pepper germplasm collection. Table S2. Description of various traits used in this study. Table S3. Genetic diversity analysis of the 4,652 pepper accessions. Table S4. Distribution of Capsicum species in STRUCTURE clusters within 3,821 germplasm accessions. Table S5. Accession in the ‘CC240’ core collection and group position of every accession in ‘CC240’ and the 3,821 germplasm collection. Table S6. Multiple allelic markers used to evaluate the core collection in Capsicum. Table S7. Analysis of molecular variance (AMOVA) among various subpopulations based on different clustering methods within 3,821 Capsicum accessions. Table S8. Comparison among different core collections established by diverse genetic clustering methods. CG3-CG5: Core collections based on unrooted phylogenetic tree clusters (A to E) grouped by 3 (A + B, C, D + E), 4 (A + B, C, D, E), and 5 (A, B, C, D, E) in respectively. CST10: Core collection based on 10 clustered population structure as in Fig. 1. Evaluated parameters; MD %: the mean difference percentage, CR %: the coincidence rate, VD %: the variance difference percentage, VR %: variable rate, I: Shannon’s information index of diversity, J': Genetics evenness, I max: logarithmic number of classes in entire collection. (XLSX 51 kb)
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Additional file 1: Table S1. of Genetic diversity and population structure analysis to construct a core collection from a large Capsicum germplasmWork title
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datasetOpenAlex work type
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enPrimary language
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Hea‐Young Lee, Na‐Young Ro, Hee-Jin Jeong, Jin‐Kyung Kwon, Jinkwan Jo, Yeaseong Ha, Ayoung Jung, Ji-Woong Han, Jelli Venkatesh, Byoung‐Cheorl KangList of authors in order
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| abstract_inverted_index.allelic | 70 |
| abstract_inverted_index.classes | 200 |
| abstract_inverted_index.diverse | 108 |
| abstract_inverted_index.genetic | 7, 109 |
| abstract_inverted_index.grouped | 124 |
| abstract_inverted_index.markers | 3, 71 |
| abstract_inverted_index.methods | 94 |
| abstract_inverted_index.species | 38 |
| abstract_inverted_index.various | 17, 88 |
| abstract_inverted_index.Analysis | 82 |
| abstract_inverted_index.CG3-CG5: | 112 |
| abstract_inverted_index.Capsicum | 37, 97 |
| abstract_inverted_index.Genetics | 193 |
| abstract_inverted_index.Multiple | 69 |
| abstract_inverted_index.analysis | 8, 27 |
| abstract_inverted_index.clusters | 41, 120 |
| abstract_inverted_index.evaluate | 74 |
| abstract_inverted_index.methods. | 111 |
| abstract_inverted_index.position | 56 |
| abstract_inverted_index.unrooted | 117 |
| abstract_inverted_index.variable | 184 |
| abstract_inverted_index.variance | 85, 179 |
| abstract_inverted_index.Accession | 48 |
| abstract_inverted_index.Capsicum. | 79 |
| abstract_inverted_index.Evaluated | 163 |
| abstract_inverted_index.STRUCTURE | 40 |
| abstract_inverted_index.accession | 59 |
| abstract_inverted_index.clustered | 156 |
| abstract_inverted_index.different | 92, 103 |
| abstract_inverted_index.diversity | 26 |
| abstract_inverted_index.evenness, | 194 |
| abstract_inverted_index.germplasm | 11, 44, 65 |
| abstract_inverted_index.molecular | 84 |
| abstract_inverted_index.structure | 158 |
| abstract_inverted_index.Comparison | 101 |
| abstract_inverted_index.clustering | 93, 110 |
| abstract_inverted_index.collection | 53, 77, 152 |
| abstract_inverted_index.difference | 169, 180 |
| abstract_inverted_index.diversity, | 191 |
| abstract_inverted_index.population | 157 |
| abstract_inverted_index.Description | 15 |
| abstract_inverted_index.Shannon’s | 187 |
| abstract_inverted_index.accessions. | 32, 45, 98 |
| abstract_inverted_index.coincidence | 174 |
| abstract_inverted_index.collection. | 12, 66, 203 |
| abstract_inverted_index.collections | 105, 114 |
| abstract_inverted_index.established | 106 |
| abstract_inverted_index.information | 188 |
| abstract_inverted_index.logarithmic | 197 |
| abstract_inverted_index.parameters; | 164 |
| abstract_inverted_index.percentage, | 170, 181 |
| abstract_inverted_index.‘CC240’ | 51, 61 |
| abstract_inverted_index.Distribution | 35 |
| abstract_inverted_index.phylogenetic | 118 |
| abstract_inverted_index.respectively. | 149 |
| abstract_inverted_index.subpopulations | 89 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 10 |
| citation_normalized_percentile |