Mapping QTLs of traits contributing to yield and analysis of genetic effects in tetraploid cotton |
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| Authors: | Dao-Hua He Zhong-Xu Lin Xian-Long Zhang Yi-Chun Nie Xiao-Ping Guo Chun-Da Feng James McD Stewart |
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| Institution: | (1) National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China;(2) Department of Crop, Soil and Environmental Sciences, University of Arkansas, Fayetteville, AR 72701, USA |
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| Abstract: | Fiber yield and yield components – including lint index (LI), seed index (SI), lint yield (LY), seed cotton yield (SCY) and
number of seeds per boll (NSPB) – were investigated on the farm of Huazhong Agricultural University in a population of 69
F2 individuals and corresponding F2:3 families derived from a cross between high-fiber-yield Gossypium hirsutum CV Handan 208 and a low-fiber-yield Gossypium barbadense CV Pima 90. On the basis of the genetic map constructed previously from the same population by Lin et al. (Plant Breed.,
2005), quantitative trait locus (QTL) analysis was performed with the software QTL Cartographer V2.0 using composite interval
mapping method (LOD ≥ 3.0). A total of 21 QTLs were identified, which were located in 15 linkage groups. The number of QTLs
per trait ranged from one to seven. Of these QTLs detected, one affecting LI explained 24.3% of phenotypic variation (PV),
five influencing SI explained 16.15–39.21% of PV, seven controlling LY explained 13.01–28.35% of PV, and two controlling SCY
explained 22.76 and 39.97% of PV, respectively. Simultaneously, the detected six QTLs for NSPB were located on five linkage
groups, which individually explained 28.01–38.32% of the total phenotypic variation. The results would give breeders further
insight into the genetic basis of fiber yield. |
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| Keywords: | cotton (Gossypium) fiber yield genetic analysis genetic improvement molecular marker quantitative trait loci (QTLs) |
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