Identification of candidate genes controlling fiber quality traits in upland cotton through integration of meta-QTL, significant SNP and transcriptomic data

Table 1 Fiber quality traits QTLs mapped by SNP markers from 12 papers

QTL	Traits	Population type	Population size	Number of markers	Reference
8	FS	RIL	250	168 SNP	Zou et al. 2014
37	FL, FS, MIC	RIL	196	106 SSR & 104 SNP	Zhang et al. 2015a, b
9	FS	RIL	161	304 SSR & 5 571 SNP	Wang et al. 2015
104	FL, FS, MIC, FU, FE	RIL	180	12 116 SNP	Tan et al. 2018
21	FL, FE	BIL	176	15 369 SNP	Ma et al. 2018a, b
134	FL, FS, MIC	RIL	231	122 SSR& 4 729 SNP	Liu et al. 2018a, b
30	FL, FS, MIC, FU, FE	ILs	107	3 157 SNP	Keerio et al. 2018
186	FL, FS, MIC, FU, FE	RIL	137	139 SSR & 6 295 SNP	Jia et al. 2018
50	FL, FS, MIC, FU, FE, SF	Natural population	503	19 191 SNP	Huang et al. 2017
193	FL, FU, MIC, FS, FE, FR, FY, SCI	F_2:3 population	277	5 178 SNP	Diouf et al. 2018
48	FL, FS, MIC, FU, FE	RIL	188	2 618 SNP	Li et al. 2016a, b
59	FL, FS, MIC, FU, FE	RIL	180	6 254 SNP	Ali et al. 2018

FL fiber length, FS fiber strength, MIC micronaire, FU fiber uniformity, FE fiber elongation, SCI spinning consistency index, SF short fiber, FR fiber reflectance, FY fiber yellowness

ISSN: 2523-3254