Genetic impacts of fiber sugar content on fiber characters in Sea Island cotton, Gossypium barbadense L.
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A genetic model with additive effect, dominant effect, additive × additive effect, and their interaction with environment effect (GE) was employed to analyze the 2-year data of F1 and F2 hybrids from 5 × 4 diallel cross, whose parents were Sea Island cotton with different fruit branch types. Unconditional and conditional genetic variances were analyzed to demonstrate genetic impacts of fiber sugar content on fiber characters. Results of unconditional genetic variances showed that dominance × environment interaction effect and additive × additive epistatic effects mainly controlled the genetic variation of fiber sugar content, and environment influenced the inheritance of fiber sugar content. Fiber uniformity, fiber elongation, and fiber micronaire were mainly controlled by dominance × environment effects. Fiber strength was mainly controlled by the interaction of additive × additive epistatic effects and the environment. Analysis of correlation coefficients indicated that the varieties or hybrids with high-fiber sugar content had short fiber, low-fiber uniformity, strength, and fineness, which indicated the close co-variation between fiber quality traits and fiber sugar content. Relatively better fiber quality traits could be obtained effectively through selecting parents with low-fiber sugar. Fiber sugar content of different parents had different genetic effect on fiber quality traits.
KeywordsConditional genetic analysis Diallel analysis Fiber quality traits Fiber sugar content Gossypium barbadense L.
This work was supported in part by “The President Foundation of Tarim University”. (No. 2004-01) and the Foundation of China Jiliang University (No. 01101-044), project of Department of Education of Zhejiang Province.
- Allard RW (1988) Future directions in plant population genetics, evolution and breeding. In: Brown AHD, Clegg MT, Kehler AL, et al. (eds) Plant population genetics and germplasm resources, Sunderland, MA: Sinauer Associates Inc. pp 1–19Google Scholar
- Bora GC, Gupta SN, Tomer YS, Singh S (1998) Genetic variability, correlation and path analysis in faba bean (Vicia faba). Indian J Agric Sci 68:212–214Google Scholar
- Giridharan MP, Jindal PC (1999) Correlation regression and path-coefficient analysis of biochemical parameters associated with duration of crop growth in grape (Vitis Vinifera). Indian J Agric Sci 69:261–264Google Scholar
- Han XM, Liu YX, Song XL (2002) Genetic analysis for fiber traits of new germplasms in Upland cotton. Acta Agron Sin 2:245–248Google Scholar
- He CX, Zhu J, Yan JQ (2000) QTL mapping for developmental behavior of panicle dry weight in rice. Sci Agric Sin 22(1):1–9Google Scholar
- Li ZK, Luo LJ, Mei HW, Wang DL, Shu QY, Tabien R, Zhong DB, Ying CS, Stansel JW, Khush GS, Paterson AH (2001) Overdominant epistatic loci are the primary genetic basis of inbreeding depression and heterosis in rice. I. Biomass and grain yield. Genetics 158:1737–1753Google Scholar
- Mather K, Jinks JL (1982) Biometrical genetics: the study of continuous variation. Methuen, LondonGoogle Scholar
- Mei YJ, Xu Z (1998) Stability analysis of fiber sugar content on varieties of Sea Island cotton. China Cotton 13(6):22–24Google Scholar
- Meredith WR Jr (1984) In: R Kohel et al. (ed) Quantitative genetics in cotton. Agronomy 24:132–150Google Scholar
- Miller RG (1974) The jacknife: a review. Biometrika 61:1–15Google Scholar
- Ogg AG Jr, Seefeldt SS (1999) Characterizing traits that enhance the competitiveness of winter wheat (Triticum aestivum) against jointed goatgress (Aegilops cylindrica). Weed Sci 47:74–80Google Scholar
- Pooni HS, Coombs DJ, Jinks PS (1987) Detection of epistatsis and linkage of interacting genes in the presence of reciprocal differences. Heredity 58:257–266Google Scholar
- Wang XD (1991) Genetic analysis for heterosis and inbreeding depression. Acta Agron Sin 1:18–23Google Scholar
- Wang XD, Pan JJ (1991) The genetic analysis of hybrid heterosis in Upland Cotton. Acta Agron Sin 17(1):18–23Google Scholar
- Wright S (1921) Correlation and causation. J Agric Res 20:557–585Google Scholar
- Wu JX, Zhu J, Xu FH, Ji DF (1995) Genetic analysis for heterosis of fiber traits in Upland cotton. Acta Gossypii Sin 7(4):217–222Google Scholar
- Xu Z, Mei YJ, Zhang XL (1998) Study on the sugar content in fiber of Sea Island cotton and microstructure with fiber strength. Acta Gossypii Sin 25(4):19–21Google Scholar
- Xu Z, You BC et al (1992) Study on sugar content in cotton fiber by Ultraviolet Spectrophotometry. Bull Text 13(6):22–24Google Scholar
- Ye ZH, Zhu J (2001) Genetic analysis on flowering and boll setting in Upland cotton (Gossypium hirsutum L.): II. Genetic behavior at different fruiting sites. Acta Agron Sin 27(2):243–252Google Scholar
- Zhu J, Weir BS (1994) Analysis of cytoplasm and maternal effects: I. A genetic models for diplod plant seeds and animals. Theor Appl Genet 89(3):153–159Google Scholar
- Zhu J (1992) Mixed model approaches for estimating genetic variances and covariance. J Biomath 1:1–11Google Scholar
- Zhu J (1997) Analysis methods for genetic models. Chinese Agricultural Publish House, Beijing, pp. 163–201Google Scholar