QTL mapping for fiber quality traits across multiple generations and environments in upland cotton

Sun, Fengjun; Zhang, Jianhong; Wang, Shufang; Gǒng, Wànkuí; Shí, Yùzhēn; Liú, Àiyīng; Lǐ, Jùnwén; Gōng, Jǔwǔ; Shāng, Hǎihóng; Yuán, Yǒulù

doi:10.1007/s11032-011-9645-z

Cited by 132 publications

(152 citation statements)

References 34 publications

Supporting

Mentioning

133

Contrasting

Unclassified

Order By: Relevance

“…A similar result with five QTL and more than one environment has been described (e.g., Zhang et al 2009;Sun et al 2012;Yu et al 2013). Clusters of QTL for different fiber quality have also been observed previously (e.g., Ulloa and Meredith 2000;Paterson et al 2003;Shen et al 2005;Lacape et al 2005;Zhang et al 2009;Said et al 2013).…”

Section: Qtl For Fiber Quality Traitssupporting

confidence: 83%

“…Nevertheless, when those earlier examinations were considered, we were able to find common features for QTL that affect those traits; For example, some QTL that influence fiber characteristics were mapped to the same chromosomes from different mapping populations. They included six QTL for fiber length on c1, c7, c14, and c16, five for strength on c3, c5, and c16, five for micronaire on c5, c14, and c16, and two for fiber elongation on c19 (e.g., Lin et al 2005;Shen et al 2005;Lacape et al 2005;He et al 2006;Zhang et al 2009;Sun et al 2012;Said et al 2013;Shao et al 2014). Thus, these may be common QTL regions for fiber quality traits in tetraploid cotton.…”

Section: Qtl For Fiber Quality Traitsmentioning

confidence: 99%

“…With the advancements in molecular marker technology, marker-assisted selection (MAS) combined with conventional backcrossing has become an effective technique for introducing multiple traits. One example of this approach is the construction of genetic maps for cotton genomes, using SSR markers (e.g., Ulloa and Meredith 2000;Lacape et al 2003;Mei et al 2004;Nguyen et al 2004;Han et al 2004;Lin et al 2005;Yu et al2007;Guo et al 2008;Zhang et al 2009Zhang et al , 2012Sun et al 2012;Yu et al 2013;Wang et al 2013a, b). Other molecular marker systems have also provided valuable tools for genetic dissection of complex traits; For example, complementary DNA (cDNA) -amplified fragment length polymorphism (AFLP) has been applied to detect coding sequence polymorphisms of target genes in a segregating population, so that these transcript polymorphisms can be directly used as genetic markers (e.g., Biezen et al 2000;Lister and Dean 1993;Brugmans et al 2002;Liu et al 2009).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mapping QTL for cotton fiber quality traits using simple sequence repeat markers, conserved intron-scanning primers, and transcript-derived fragments

et al. 2014

View full text Add to dashboard Cite

Cotton is an important fiber crop worldwide. Improved fiber quality is a driving force for cotton genetic studies and breeding. A BC 1 population containing 115 individuals from a cross between Gossypium hirsutum cv. CCRI8 and G. barbadense cv. Pima 90-53 was established, and 519 simple sequence repeat (SSR) markers, two conserved intronscanning primers (CISPs), and transcript-derived fragments (TDFs) amplified from 156 ApoI/TaqI selective primer combinations were used to construct a genetic linkage map. The map included 579 markers distributed on 56 linkage groups. Accounting for 83.4 % of the cotton genome, it covered 4,168.72 cM, with an average distance of 7.19 cM between markers. Lengths of the linkage groups ranged from 1.25 to 255.79 cM, with 2 to 44 markers per group. Of these 56 groups, 43 were assigned to 26 chromosomes, with the remaining 13 unknown. Based on this newly constructed map of tetraploid cotton, we performed quantitative trait loci (QTL) mapping and analysis of fiber quality traits from the BC 1 and its derived BC 1 F 2 lines. A total of 44 fiber quality QTL were detected on 17 chromosomes, explaining 7.72-23.73 % of the phenotypic variation. Pima 90-53 offered 13 QTL alleles with positive additive effects and four with negative additive effects for fiber quality traits. The results from this study may provide useful information for breeders to transfer desirable fiber traits from cotton types, such as the Sea Island strain, to Upland cotton that is primarily cultivated currently.

show abstract

Section: Qtl For Fiber Quality Traitssupporting

confidence: 83%

Section: Qtl For Fiber Quality Traitsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mapping QTL for cotton fiber quality traits using simple sequence repeat markers, conserved intron-scanning primers, and transcript-derived fragments

et al. 2014

View full text Add to dashboard Cite

show abstract

“…Subsequently, several intraspecific genetic linkage maps were constructed for G. hirsutum (Lin et al 2009;Ulloa and Meredith 2000;Ulloa et al 2002Ulloa et al , 2005Zhang et al 2005Zhang et al , 2009, which contain 73-604 loci. Using these maps, the precise locations of many QTLs have been determined Guo et al 2006;Li et al 2014;Liu et al 2012;Ning et al 2014;Paterson et al 2003;Qin et al 2008Qin et al , 2009Shao et al 2014;Shen et al 2005Shen et al , 2007Sun et al 2012;Ulloa and Meredith 2000;Ulloa et al 2005;Wang et al 2006Wang et al , 2007Wu et al 2009;Zhang et al 2005Zhang et al , 2009Zhang et al , 2010Zhang et al , 2012a. For fiber quality, for example, Qin et al (2009) discovered eight QTLs for fiber strength (FS), micronaire (MIC) and fiber elongation (FE) simultaneously in two populations.…”

Section: Introductionmentioning

confidence: 99%

“…Using three populations, Shao et al (2014) detected 77 QTLs, including 19 for FL, 14 for FU, 17 for MIC, 10 for FE and 17 for FS. Sun et al (2012) identified 50 QTLs for fiber quality, including 10 for FS, 10 for FL, 10 for MIC, eight for FU and 12 for FE. For cotton yield traits, Guo et al (2006) mapped three QTLs for lint percentage (LP) on the A03 linkage group and chromosome 6.…”

Section: Introductionmentioning

confidence: 99%

Quantitative trait locus analysis of boll-related traits in an intraspecific population of Gossypium hirsutum

et al. 2014

View full text Add to dashboard Cite

Quantitative trait locus (QTL) mapping lays the foundation for marker-assisted selection (MAS) for lint yield and fiber quality in cotton (Gossypium hirsutum). Boll-related traits affect yield and fiber quality, but few studies have focused on bollrelated traits. Here, we detected QTLs related to cotton boll, yield and fiber quality traits using intraspecific F 2 and F 2:3 populations from the cross AQ 9 08-10604. A total of 91 QTLs for 17 traits related to boll, yield and fiber quality in the F 2 and F 2:3 populations were mapped, including 37 significant QTLs. Six pairs of common QTLs were detected, including two pairs for boll coat weight (BCW) in the same or similar positions on Chr. A10 and D1, two pairs for boll length (BL) in similar positions on Chr. A10 and A13, with a higher percentage of phenotype variation and two pairs for boll diameter (BD) in similar positions on Chr. A10 and D1. These results suggest that the traits BCW, BL and BD have high levels of stability. Five QTL clusters for the same or different traits were also identified on Chr. A10 (2), A13, D1 and D5. We also detected 64 epistatic QTLs for boll-and yield-related traits that play important roles in genetic variation. Correlation analysis revealed significant positive correlations between seed yield and boll number per plant and between boll weight and BCW, BL and BD. The results of this study enhance our understanding of the genetic basis of boll-related traits and will enable further MAS of upland cotton.

show abstract

Population Genomics of Cotton

Mendu

Ghose²,

Mendu³

2022

Population Genomics

View full text Add to dashboard Cite

This research paper explores the application of style transfer in computer vision using RGB images and their corresponding depth maps. We propose a novel method that incorporates the depth map and a heatmap of the RGB image to generate more realistic style transfer results. We compare our method to the traditional neural style transfer approach and find that our method outperforms it in terms of producing more realistic color and style. The proposed method can be applied to various computer vision applications, such as image editing and virtual reality, to improve the realism of generated images. Overall, our findings demonstrate the potential of incorporating depth information and heatmap of RGB images in style transfer for more realistic results.

show abstract

QTL mapping for fiber quality traits across multiple generations and environments in upland cotton

Cited by 132 publications

References 34 publications

Mapping QTL for cotton fiber quality traits using simple sequence repeat markers, conserved intron-scanning primers, and transcript-derived fragments

Mapping QTL for cotton fiber quality traits using simple sequence repeat markers, conserved intron-scanning primers, and transcript-derived fragments

Quantitative trait locus analysis of boll-related traits in an intraspecific population of Gossypium hirsutum

Population Genomics of Cotton

Contact Info

Product

Resources

About