ArticleMolecular genetics and genomics : MGG2019
Dissecting the genetic basis of fiber quality and yield traits in interspecific backcross populations of Gossypium hirsutum × Gossypium barbadense.
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Article in Molecular genetics and genomics : MGG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18citing papers in PubMed
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18 citing papers in PubMed.
- Phenotypic and Agromorphological Diversity Reveals Detailed Information About Accessions with Productive Potential for Cotton (Plants (Basel, Switzerland) · 2026Article
- NAC transcription factor GbNTL9 modifies the accumulation and organization of cellulose microfibrils to enhance cotton fiber strength.Journal of advanced research · 2025Article
- Identification of Stable Meta-QTLs and Candidate Genes Underlying Fiber Quality and Agronomic Traits in Cotton.Plants (Basel, Switzerland) · 2025Article
- Genetic dissection of cotton fiber quality and yield components using an interspecific introgression population.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- The Genetic Loci Associated with Fiber Development in Upland Cotton (Plants (Basel, Switzerland) · 2025Article
- Deciphering the dynamic expression network of fiber elongation and the functional role of the GhTUB5 gene for fiber length in cotton based on an introgression population of upland cotton.Journal of advanced research · 2025Article
- A GDSL esterase/lipase gene GbGELP identified from a fiber micronaire QTL qMIC-A11 modulates cell elongation and fiber development.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Dissecting the Superior Drivers for the Simultaneous Improvement of Fiber Quality and Yield Under Drought Stress Via Genome-Wide Artificial Introgressions of Gossypium barbadense into Gossypium hirsutum.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Genome-wide artificial introgressions of Gossypium barbadense into G. hirsutum reveal superior loci for simultaneous improvement of cotton fiber quality and yield traits.Journal of advanced research · 2023Article
- Expressed genes and their new alleles identification during fibre elongation reveal the genetic factors underlying improvements of fibre length in cotton.Plant biotechnology journal · 2022Article
- Role of WRKY Transcription Factors in Regulation of Abiotic Stress Responses in Cotton.Life (Basel, Switzerland) · 2022Review
- QTL mapping and candidate gene prediction for fiber yield and quality traits in a high-generation cotton chromosome substitution line with Gossypium barbadense segments.Molecular genetics and genomics : MGG · 2022Article
- Identification of Candidate Genes for Lint Percentage and Fiber Quality Through QTL Mapping and Transcriptome Analysis in an Allotetraploid Interspecific Cotton CSSLs Population.Frontiers in plant science · 2022Article
- Identification of Candidate Cotton Genes Associated With Fiber Length Through Quantitative Trait Loci Mapping and RNA-Sequencing Using a Chromosome Segment Substitution Line.Frontiers in plant science · 2021Article
- Analyzing Quantitative Trait Loci for Fiber Quality and Yield-Related Traits From a Recombinant Inbred Line Population WithFrontiers in plant science · 2021Article
- Omics-Facilitated Crop Improvement for Climate Resilience and Superior Nutritive Value.Frontiers in plant science · 2021Review
- Genetics and Breeding for Glandless Upland Cotton With Improved Yield Potential and Disease Resistance: A Review.Frontiers in plant science · 2021Review
- Examining two sets of introgression lines across multiple environments reveals background-independent and stably expressed quantitative trait loci of fiber quality in cotton.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020Article
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Authors and funding
16 authors.
Yuzhen ShiState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
Aiying LiuState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
Junwen LiState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
Jinfa ZhangDepartment of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM, 88003, USA.
Baocai ZhangState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
Qun GeState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
Muhammad JamshedState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
Quanwei LuState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
Shaoqi LiState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
Xianghui XiangState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
Juwu GongState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
Wankui GongState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
Haihong ShangState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
Xiaoying DengState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
Jingtao PanState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
Youlu YuanState Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China. youluyuan@hotmail.com.ORCID http://orcid.org/0000-0003-0509-7836
Funding
Guangdong Province Introduction of Innovative R&D Team (CN) 2016YFD0100203
Abstract
Fiber quality and yield are important traits of cotton. Quantitative trait locus (QTL) mapping is a prerequisite for marker-assisted selection (MAS) in cotton breeding. To identify QTLs for fiber quality and yield traits, 4 backcross-generation populations (BC
Indexed as
Cotton FiberQuantitative Trait LociCrosses, GeneticGossypiumSeedsFiber qualityInterspecific backcross populationsQTL clusterQuantitative trait locus (QTL)Yield
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