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Acta Agron Sin ›› 2010, Vol. 36 ›› Issue (06): 961-967.


Genetic Effects of Fiber Color in Brown-Cotton (Gossypium hirsutum L.)

FENG Hong-Jie1,2,WANG Jie2,SUN Jun-Ling2,ZHANG Xin-Yu1,GU Yin-Hua2,SUN Jie1*,DU Xiong-Meng2,*   

  1. 1College of Agriculture,Key Oasis Eco-Agriculture Laboratory of Xinjiang Production and Construction Group,Shihezi University,Shihezi,832003,China;2Key Laboratory of Cotton Genetic Improvement of Agricultural Ministry,Cotton Research Institute,Chinese Academy of Agricultural Sciences,Anyang 455002,China
  • Received:2010-01-02 Revised:2010-03-19 Online:2010-06-12 Published:2010-04-14
  • Contact: DU Xiong-Ming,E-mail: duxm@cricaas.com.cn; Tel: 0372-2562252;SUN Jie,E-mail: sunjiezh@yahoo.com.cn; Tel: 0993-2067366


Color cotton is a type of cotton with natural fiber color, which meets demand of people who pursue to health and environment protection, but the cotton performs low yield, poor quality and monotone color in production. To solve these problems, in this paper, we analyzed the genetic effects for brown fiber, including the genetic correlation of brown-lint and brown-fuzz, and the different performances of fiber color in the F1 of upland cotton (Gossypium hirsutum L.). Twenty cross combinations were obtained based on a complete diallel-mating system with two brown fiber and three white fiber lines of upland cotton. The fiber color was quantified by scanner and Photoshop based on the RGB parameters data of lint and fuzz. The genetic effects were predicted by the methods of MINQUE and AUP according to the ADM and AD models in QGAStation software. The results showed that the inheritance of fiber color was similar to that of fuzz color. Both of the addition and dominant effects were significant at 0.01 level of probability. The additive effect of the brown-lint was 0.8501, which was six times of its dominant effect. The additive effect of the brown-fuzz was 0.8726, which was eight times of its dominant effect. The correlation for genotype and phenotype between brown-lint and brown-fuzz was significant; with the genotype correlation coefficient between lint and fuzz colors was 0.9935. The additive effects of the five parents were significantly different, in which the effect of brown cotton was positive, but that of white cotton was negative. It indicated that the genetic variation of the brown-lint and brown-fuzz in upland cotton was mainly derived from additive and dominant effects, in which the additive effect was predominant, and there were linkage and interaction between the inheritances of lint and fuzz color. The different fiber colors of F1 were resulted from the different additive effects of different varieties or lines.

Key words: Brown cotton, Genetic effect, Fiber color, Genetic analysis

[1]Li H(李红), Li Z(李哲), Cui X-Z(崔秀珍), Wang Y-Z(王业智). Estimation of genetic parameters for hybrids of brown cotton and Long-staple upland cotton. J Henan Agric Sci (河南农业科学), 2008, 4(11):46-54 (in Chinese with English abstract)
[2]Sun D L, Sun J L, Jia Y H, Ma Z Y, Du X M. Genetic diversity of colored cotton analyzed by simple sequence repeat markers
[J].Intl J Plant Sci
[3]Sakakibara K, Nishiyama T, Kato M, Hasebe M. Isolation of homeodomain-leucine zipper genes from the Moss Physcomitrella patens and the evolution of homeodomain-leucine zipper genes in land plants. Mol Biol Evol, 2001, 18: 491-502
[4]HlГlСимонгуrЯнl. Genetic analysis of fiber color in up land cotton. Agron Abroad: Cotton, 1984, 3: 172-191
[5]Kohel R J. Genetic analysis of fiber color variants in cotton
[J].Crop Sci
[6]Li Y-S(李永山). Studies on fiber color inheritance of colorful cotton. J Shanxi Agric Sci (山西农业科学), 2002, 30(1): 44-46 (in Chinese with English abstract)
[7]Geng J-Y(耿军义), Wang G-Y(王国印), Zhai X-J(翟学军), Li Z-S(李之树), Liu C-J(刘存敬), Li Y-Z(李延增). Effects of colored fiber gene on economic properties of upland cotton and analysis of its inheritance. Acta Gossypii Sin (棉花学报), 1998, 10(6): 307-311 (in Chinese with English abstract)
[8]Zhan S-H(詹少华), Li Z-P(李正鹏), Lin Y(林毅), Cai Y-P(蔡永萍). Quantitative analysis on the inherited characteristics of naturally colored brown cotton fiber color. Chin Agric Sci Bull (中国农学通报), 2008, 24(12):146-148 (in Chinese with English abstract)
[9]Shi Y-Z(石玉真), Du X-M(杜雄明), Liu G-Q(刘国强), Qiang A-D(强爱娣), Zhou Z-L(周忠丽), Pan Z-E(潘兆娥), Sun J-L(孙君灵). Genetic analysis of naturally colored lint and fuzz of cotton. Cotton Sci (棉花学报), 2002, 14(4): 242-248 (in English with Chinese abstract)
[10]Sun D-L(孙东磊), Sun J-L(孙君灵), Du X-M(杜雄明), Ma Z-Y(马峙英). Genetic study on the color of fiber and linter in brown cotton. J Anhui Agric Sci (安徽农业科学), 2008, 36(15): 6254-6255 (in Chinese with English abstract)
[11]Li D-G(李定国), Nie Y-C(聂以春), Zhang X-L(张献龙). Genetic analysis of fiber colored brown upland cotton. J Huazhong Agric Univ (华中农业大学学报), 2004, 23(6): 606-609 (in Chinese with English abstract)
[12]Zhan S-H(詹少华), Lin Y(林毅). Establishment of a new determination method for the pigment of natural colorful cotton. Mol Plant Breed (分子植物育种), 2005, 3(3): 439-444 (in Chinese with English abstract)
[13]Ahuja S L, Dhayal L S, Monga D. Performance of upland coloured cotton germplasm lines in line×tester crosses
[14]Tang B, Jenkins J N, Watson C E. Evaluation of genetic variances, heritability and correlations for yield and fiber properties among cotton F2 hybrid population
[15]Vivek B S, Omari O, Njuguna J, Imanywoha J, Bigirwa G, Diallo A, Pixley K. Diallel analysis of grain yield and resistance to seven diseases of 12 African maize (Zea mays L.) inbred lines. Euphytica, 2010, 171: 329-340
[16]Dieckmann S, Link W. Quantitative genetic analysis of embryo heterosis in faba bean (Vicia faba L.). Theor Appl Genet, 2009, 1057-1066
[17]Zhu M-X(朱美霞), Wang Z(王珍). Genetic analysis of cotton colored fiber based on computer assisted identification. Mol Plant Breed (分子植物育种), 2003, 1(1): 126-130 (in Chinese with English abstract)
[18]Xu Z C, Zhu J. An approach for predicting heterosis based on an additive, dominance and additive × additive model with environment interaction
[19]Yuan Y-L(袁有禄), Zhang T-Z(张天真), Guo W-Z(郭旺珍). Diallel analysis of superior fiber quality properties in selected upland cottons. Acta Genet Sin (遗传学报), 2005, 32(1): 79-85 (in English with Chinese abstract)
[20]Abderrahmane Achouch, Zhu J(朱军). Simulation studies for comparing genetics models with additive-aominance-maternal effects and GE interaction effects. J Biomathem (生物数学学报), 2002, 17(2): 208-214 (in English with Chinese abstract)
[21]Zhu J(朱军). Methods of predicting genotype value and heterosis for offspring of hybrids. J Biomath (生物数学学报), 1993, 8: 32-44 (in Chinese with English abstract)
[22]Zhu J(朱军), Ji D-F(季道藩), Xu F-H(许馥华). Mixed model approaches for anayzing intra-cultivar heterosis in crop. Acta Genet Sin (遗传学报),1993, 20: 262-271 (in Chinese with English abstract)
[23]Zhu J(朱军). New approaches for analyzing quantitative traits and their applications in cotton. In: Genetic improvement of cotton: Emerging technologies. Enfield, NH, USA, Science Publishers, 2001. pp 43-63
[24]Pan Z-E(潘兆娥), Du X-M(杜雄明), Sun J-L(孙君灵), Zhou Z-L(周忠丽), Pang B-Y(庞保印). Influences of boll shading on fiber color and fiber quality of colored cotton. Cotton Sci (棉花学报), 2006, 18(5): 264-268 (in Chinese with English abstract)
[25]Zhan S-H(詹少华), Lin Y(林毅), Cai Y-P(蔡永萍), Li Z-P(李正鹏). A study on the stability of the pigment of natural brown cotton and its mechanism. Acta Laser Biol Sin (激光生物学报), 2006, 15(4): 354-358 (in Chinese with English abstract)
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