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Trait Overview
| Trait | short fiber content |
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| Trait Category | quality trait |
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| Abbreviation | SFC |
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| Definition | The percent by weight of short fibers (12.7 mm or less) measured by Suter-Webb array method, or AFIS (Advance Fiber Information System), or the SFI from HVI (High Volume Instrument) |
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| Descriptors | [view all 5] |
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| QTLs | [view all 103] |
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| Dataset | Type |
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| TP-BC3F2-2005 | QTL |
| NCGC germplasm evaluation, CS07 | phenotype |
| NCGC germplasm evaluation, CS08 | phenotype |
| NCGC germplasm evaluation, CS09 | phenotype |
| NCGC germplasm evaluation, CS10 | phenotype |
| NCGC germplasm evaluation, CS11 | phenotype |
| NCGC germplasm evaluation, T01 | phenotype |
| NCGC germplasm evaluation, T02 | phenotype |
| NCGC germplasm evaluation, T03 | phenotype |
| NCGC germplasm evaluation, T04 | phenotype |
| NCGC germplasm evaluation, T05 | phenotype |
| NCGC germplasm evaluation, T06 | phenotype |
| NCGC germplasm evaluation, T07 | phenotype |
| NCGC germplasm evaluation, T08 | phenotype |
| NCGC germplasm evaluation, T09 | phenotype |
| NCGC germplasm evaluation, T14 | phenotype |
| NCGC germplasm evaluation, T89 | phenotype |
| NCGC germplasm evaluation, T91 | phenotype |
| NCGC germplasm evaluation, T92 | phenotype |
| NCGC germplasm evaluation, T94 | phenotype |
| NCGC germplasm evaluation, T95 | phenotype |
| NCGC germplasm evaluation, T96 | phenotype |
| NCGC germplasm evaluation, T97 | phenotype |
| NCGC germplasm evaluation, T98 | phenotype |
| NCGC germplasm evaluation, WS93GH | phenotype |
| NCGC germplasm evaluation, GH06 | phenotype |
| NCGC germplasm evaluation, GH08 | phenotype |
| NCGC germplasm evaluation, GH10 | phenotype |
| NCGC germplasm evaluation, GH11 | phenotype |
| NCGC germplasm evaluation, GH12 | phenotype |
| NCGC germplasm evaluation, GH | phenotype |
| T3-RIL-2014 | QTL |
| ILTM-F2:3-2014 | QTL |
| PA-F2-2017 | QTL |
| MAGIC-19831-2018 | QTL |
| RBTN 2005 | phenotype |
| RBTN 2006 | phenotype |
| RBTN 2007 | phenotype |
| RBTN 2010 | phenotype |
| RBTN 2011 | phenotype |
| RBTN 2012 | phenotype |
| RBTN 2013 | phenotype |
| RBTN 2014 | phenotype |
| RBTN 2015 | phenotype |
| RBTN 2016 | phenotype |
| RBTN 2017 | phenotype |
| RBTN 2018 | phenotype |
| RBTN 2019 | phenotype |
| RBTN 2020 | phenotype |
| RBTN 2021 | phenotype |
| RBTN 2022 | phenotype |
| Year | Publication |
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| 2018 | Huang C, Shen C, Wen T, Gao B, Zhu , Li X, Ahmed MM, Li D, Lin Z. SSR-based association mapping of fiber quality in upland cotton using an eight-way MAGIC population. Molecular genetics and genomics : MGG. 2018 Feb 01. |
| 2017 | Huang C, Nie X, Shen C, You C, Li W, Zhao W, Zhang X, Lin Z. Population structure and genetic basis of the agronomic traits of upland cotton in China revealed by a genome-wide association study using high-density SNPs. Plant Biotechnol J. 2017 Nov;15(11):1374-1386. |
| 2017 | Wang, B, Draye, X, Zhuang, Z, Zhang, Z, Liu, M, Lubbers, EL, Jones D, May OL, Paterson AH, Chee PW. QTL analysis of cotton fiber length in advanced backcross populations derived from a cross between Gossypium hirsutum and G. mustelinum. Theor Appl Genet. 2017 Mar 27; 130:1297–1308. |
| 2014 | Yu JZ, Ulloa M, Hoffman SM, Kohel RJ, Pepper AE, Fang DD, Percy RG, Burke JJ. Mapping genomic loci for cotton plant architecture, yield components, and fiber properties in an interspecific (Gossypium hirsutum L. × G. barbadense L.) RIL population. Molecular genetics and genomics : MGG. 2014 Oct 15. |
| 2007 | Rong J, Feltus FA, Waghmare VN, Pierce GJ, Chee PW, Draye X, Saranga Y, Wright RJ, Wilkins TA, May OL, Smith CW, Gannaway JR, Wendel JF, Paterson AH. Meta-analysis of polyploid cotton QTL shows unequal contributions of subgenomes to a complex network of genes and gene clusters implicated in lint fiber development. Genetics. 2007 Aug; 176(4):2577-88 |
| 2006 | EUP-152-367 |
| 2005 | Chee P, Draye X, Jiang C, Decanini L, Delmonte T, Bredhauer R, Smith C, Paterson A. Molecular dissection of phenotypic variation between Gossypium hirsutum and Gossypium barbadense (cotton) by a backcross-self approach. III. Fiber length. Theoretical and applied genetics. 2005; 111(4):772-781 |
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