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Journal of Natural Fibers Volume 19, 2022 - Issue 16
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Research Article

Construction of an evenly-distributed genetic map using contig-tag-SNPs for quantitative trait loci (QTL) analysis of fiber-related traits in kenaf (Hibiscus cannabinus L.)

Yi Xua Key Laboratory for Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education/ Fujian Provincial Key Laboratory of Crop Breeding by Design/College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China;b Experiment Station of Jute and Kenaf in Southeast China of Ministry of Agriculture and Rural Affairs/Public Platform for Germplasm Resources of Southern Bast Fiber Crops of Fujian, Fujian Agriculture and Forestry University, Fuzhou, Fujian, ChinaView further author information
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Xuebei Wana Key Laboratory for Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education/ Fujian Provincial Key Laboratory of Crop Breeding by Design/College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, Fujian, ChinaView further author information
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Siyuan Chena Key Laboratory for Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education/ Fujian Provincial Key Laboratory of Crop Breeding by Design/College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China;b Experiment Station of Jute and Kenaf in Southeast China of Ministry of Agriculture and Rural Affairs/Public Platform for Germplasm Resources of Southern Bast Fiber Crops of Fujian, Fujian Agriculture and Forestry University, Fuzhou, Fujian, ChinaView further author information
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Ting Liua Key Laboratory for Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education/ Fujian Provincial Key Laboratory of Crop Breeding by Design/College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China;c College of Life Science, Ningde Normal University, Ningde, Fujian, ChinaView further author information
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Jianmin Qia Key Laboratory for Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education/ Fujian Provincial Key Laboratory of Crop Breeding by Design/College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China;b Experiment Station of Jute and Kenaf in Southeast China of Ministry of Agriculture and Rural Affairs/Public Platform for Germplasm Resources of Southern Bast Fiber Crops of Fujian, Fujian Agriculture and Forestry University, Fuzhou, Fujian, ChinaView further author information
,
Jiantang Xua Key Laboratory for Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education/ Fujian Provincial Key Laboratory of Crop Breeding by Design/College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China;b Experiment Station of Jute and Kenaf in Southeast China of Ministry of Agriculture and Rural Affairs/Public Platform for Germplasm Resources of Southern Bast Fiber Crops of Fujian, Fujian Agriculture and Forestry University, Fuzhou, Fujian, ChinaView further author information
&
Liwu Zhanga Key Laboratory for Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education/ Fujian Provincial Key Laboratory of Crop Breeding by Design/College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China;b Experiment Station of Jute and Kenaf in Southeast China of Ministry of Agriculture and Rural Affairs/Public Platform for Germplasm Resources of Southern Bast Fiber Crops of Fujian, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China;d Center for Genomics and Biotechnology of Haixia Institute of Science and Technology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, ChinaCorrespondence[email protected] [email protected]
ORCID Iconhttps://orcid.org/0000-0001-8465-2476View further author information
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Pages 15176-15187 | Published online: 19 May 2022

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Related Research Data

Construction of an evenly-distributed genetic map using contig-tag-SNPs for quantitative trait loci (QTL) analysis of fiber-related traits in kenaf (Hibiscus cannabinus L.)
Source: Taylor & Francis

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