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1 作物学报 ACTA AGRONOMICA SINICA 014, 40(10): ISSN ; CODEN TSHPA9 DOI: /SP.J 不结球白菜维生素 C 含量主基因 + 多基因遗传分析 * 林婷婷王建军王立陈暄侯喜林李英 /, : C C 6 (P 1 P F 1 B 1 B F ), +, C, C 1 +-, 011, 13.15, B 1 B F 54.38% 38.58% 18.69%, 4.69% 36.9% 40.70%; 013, 6.04, B 1 B F 1.88% 6.41% 45.04%, 39.67% 16.57% 16.91%, C, C,,, : ; C; + ; Major Gene Plus Polygene Inheritance of Vitamin C Content in Non-heading Chinese Cabbage LIN Ting-Ting, WANG Jian-Jun, WANG Li, CHEN Xuan, HOU Xi-Lin, and LI Ying * State Key Laboratory of Corp Genetics and Germplasm Enhancement / College of Horticulture of Nanjing Agricultural University, Nanjing 10095, China Abstract: The mixed major gene plus polygene inheritance model was used to investigate the inheritance law of vitamin C in non-heading Chinese cabbage (Brassica campestris ssp. chinensis Makino) in six generations (P 1, P, F 1, B 1, B, and F ) derived from Wutacai line (with high vitamin C content) Erqing line (with low vitamin C content). The results showed that the trait of vitamin C was controlled by one additive major gene plus additive-dominant polygene in the joint analysis of six generations. The result in 011 showed that the additive effect was Heritabilities of major genes in B 1, B, and F populations were 54.38%, 38.58%, and 18.69%, respectively, while those of polygenes in the three populations were 4.69%, 36.9%, and 40.7%, respectively. The result in 013 showed that the additive effect was Heritabilities of major genes in B 1, B, and F populations were 1.88%, 6.41%, and 45.04%, respectively, while those of polygenes in B 1, B, and F populations were 39.67%, 16.57%, and 16.91%, respectively. The results from two years indicated that environmental factors could play roles in inheritance of vitamin C in non-heading Chinese cabbage. Thus, the marker assisted selection method could be used to screen high vitamin C cultivars of non-heading Chinese cabbage. In addition, environmental conditions should also be considered in the breeding process. Keywords: Non-heading Chinese cabbage; Vitamin C; Major gene plus polygene; Inheritance model,,, [1] C,,,, C [] [3] (973 )(009CB119001), (KYZ01111), (863 )(01AA1000)(BE0135) (Corresponding author):, yingli@njau.edu.cn, Tel: : @njau.edu.cn, Tel: Received(): ; Accepted(): ; Published online(): URL:

2 , C- [] C 1+,,,, + [4-5],,, [6], [7], + [8-11], [1-16] +, C, C 1 材料与方法 1.1, C (P 1 ), C (P ), F 1, P 1 P B 1 B, F 1 F P 1 P F 1 B 1 B F,, P 1 P F 1 18, F 178, B 1 59, B P 1 4 P F 1 3 F 15 B 1 63 B C 9:00,, 0. g,, 80 Bartoli [17],,, 0.1% 1.5 ml ; g 15 min, ;, C 0.1%, 1 ml min 1, 30, 45 nm 1.3 [4-5] +, 6 C (maximum likelihood method), AIC,, U 1 U U 3 ( ) n W (Smirnov ) D n (Kolmogorov ),,,, 结果与分析.1 C , P 1 P C, F 1 C,, C P 1 ( 1) B 1 B F C ( 1), C -,. +, C, 1(A) (B)(C) 1+ (D) Year 表 1 亲本和 F 1 中的维生素 C 含量次数分布 Table 1 Frequency distribution of vitamin C content in populations of P 1, P, and F 1 Frequency Generation Sample size Mean value P aa P bb F P aa P bb F

3 10 : C 图 1 B 1 B 和 F 群体的维生素 C 含量次数分布 Fig. 1 Frequency distribution of vitamin C content in populations of B 1, B, and F C1: 0 30; C: 30 40; C3: 40 50; C4: 50 60; C5: 60 70; C6: 70 80; C7: 80 90; C8: ; C9: ; C10: ; C11: ; C1: ; C13: ; C14: ; D1: 37 45; D1:45 53; D3: 53 61; D4: 61 69; D5: 69 77; D6: 77 85; D7: 85 93; D8: ; D9: ; D10: ; D11: ; D1: ; D13: (E) 5 4 AIC ( ), AIC,, 011, C D- D-4 D-1 ; 013, C D- D-3 B-1, ( 3) 011 C, D- D-4 D-1, 013 C, D- D-3 D-1 AIC ( ),, D-, 1 +- 表各遗传模型的极大对数似然值和 AIC 值 Table Estimation of max-likelihood-value and AIC value of different genetic models Model MLV AIC MLV AIC Model MLV AIC MLV AIC A D A D A D A D B D B E B E B E B E B E C E C E MLV: ; AIC: AIC MLV: maximum likelihood method; AIC: Akaike information criterion.

4 表 3 备选模型的适合性检验 Table 3 Fitness test of candidate genetic models Statistic Year Model Population U 1 U U D- P (0.496) 0.084(0.77).183(0.1395) (>0.05) F (0.3330) 0.359(0.5489) 1.88(0.1763) (>0.05) P 0.08(0.8671) 0.33(0.5645).745(0.0976) (>0.05) B (0.1819) 1.670(0.1963) 0.000(0.9986) (>0.05) B 0.013(0.9084) 0.013(0.9097) 0.000(0.9933) (>0.05) F 0.057(0.8119) 0.5(0.6350) 0.955(0.385) (>0.05) D-4 P (0.4934) 0.086(0.769).188(0.1391) (>0.05) F (0.3464) 0.333(0.5639) 1.79(0.1807) (>0.05) P 0.015(0.901) 0.86(0.596).754(0.0970) (>0.05) B (0.1788) 1.693(0.193) 0.000(0.9976) (>0.05) B 0.001(0.9710) 0.000(0.9846) 0.047(0.875) (>0.05) F 0.056(0.818) 0.4(0.6361) 0.95(0.393) (>0.05) 013 D- P (0.77).656(0.1031) 5.157(0.031) * (>0.05) F 1.558(0.1097) 1.649(0.199) 1.10(0.898) (>0.05) P 0.031(0.859) 0.047(0.877).46(0.1194) (>0.05) B (0.1607).119(0.1455) 0.15(0.6965) (>0.05) B 0.001(0.9693) 0.011(0.9176) 0.070(0.7909) (>0.05) F 0.74(0.6010) 0.113(0.7363) 0.461(0.4973) (>0.05) D-3 P (0.7).660(0.109) 5.159(0.031) * (>0.05) F 1.534(0.1114) 1.67(0.0) 1.131(0.875) (>0.05) P 0.08(0.8668) 0.051(0.807).4(0.1196) (>0.05) B (0.1597).18(0.1446) 0.151(0.697) (>0.05) B 0.001(0.9766) 0.009(0.956) 0.067(0.7951) (>0.05) F 0.74(0.6009) 0.113(0.7363) 0.461(0.4971) (>0.05) U 1 U U 3 ; n W Smirnov ; D n Kolmogorov ; * 0.05 U 1, U, U 3 : statistic of Uniformity test; n W : statistic of Smirnov test; D n : statistic of Kolmogorov; * indicates significance at P < nw D n.3, [4-5], ( 4) 011, C 13.15, , 9.51,,,,, C B 1 B F 54.38% 38.58% 18.69%, 4.69% 36.9% 40.7%, 68.78% 51.10% 31.47% F, + C 59.39%, 40.61%, C 013, C 6.04,.31.95, 1.8,, B 1 B F 1.88% 6.41% 45.04%, 39.67% 16.57% 16.91% F, + C 61.95%, 38.05%, B 1 B, C, C C, F

5 10 : C Univalent parameter 表 4 维生素 C 含量的 D- 模型遗传参数的估计 Table 4 Estimates of genetic parameters of vitamin C in D- model Estimate in green house in field Estimate Bivalent parameter Population in green house 013-in field m σ p B B F σ mg B B d F σ pg B B F σ B [d] B F h mg (%) B B F [h] h pg (%) B B F h mg +h pg B B [h]/[d] F m: ; d: ; [d]: ; [h]: ; [h]/[d]: ; σ p : ; σ mg : ; σ pg : ; σ :; h mg (%): ; h pg (%): m: mean of graduation; d: major gene additive effect; [d]: polygene additive; [h]: polygene dominant effect; [h]/[d]: dominant potential ratio of the polygene; σ p : phenotypic variance; σ mg : major-gene variance; σ pg : polygenic variance; σ : environmental variance; h mg (%): major gene heritability; h pg (%): polygene heritability.,, F 3 讨论 C,,, [,18] C, [] [19], C 1 + [4-5] + [19], 5 4 C 1 +-, [], 011 F, 18.69% 40.70%; 013 F 45.04% 16.91%, C, F + 60%,, , C [0] C,, 5.78%~63.66%, C Massot [1] C, C

6 Ioannidi [] C, C,, C,, F C,, C [3] C,, C C, C, + C, C +,,, C,, + QTL,, [4], C,, QTL,, [5], 6,, C, QTL 4 结论 C 1 + -, References [1],.. :,. ( ), :, pp Hou X L, Cao S C. The cutting-edge issues and key technologies of vegetable research in China. In: Hou X L, Chang Y H, eds. Horticulture Progress, nd edn. Nanjing: Southeast University Publishers, pp (in Chinese) [],,. C., 1999, 6: Zhang Z C, Hou X L, Cao S C. Genetic analysis of vitamin C and soluble sugar content in non-heading Chinese cabbage. Acta Hort Sin, 1999, 6: (in Chinese with English abstract) [3],.., 1997, 4: Zeng G P, Cao S C. Genetic analysis of the main quality characters of non-heading Chinese cabbage. Acta Hort Sin, 1997, 4: (in Chinese with English abstract) [4],,. QTL +., 000, 6: Gai J Y, Zhang Y M, Wang J K. A joint analysis of multiple generations for QTL models extended to mixed two major genes plus polygene. Acta Agron Sin, 000, 6: (in Chinese with English abstract) [5],,.. :, 003 Gai J Y, Zhang Y M, Wang J K. Genetic System of Quantitative Traits in Plants. Beijing: Science Press, 003 (in Chinese) [6] Wang J K, Gai J Y. Mixed inheritance model for resistance to agromyzid beanfly (Melanagromyza sojae Zehntner) in soybean. Euphytica, 001, 1: 9 18 [7] Gai J Y. Segregation analysis on genetic system of quantitative traits in plants. Front Biol, 006, 1: 85 9 [8],,,,,.., 01, 13: Sun H Y, Xu D L, Cai Y L, Wang J G, Wang G Q, Shao R H. Genetic analysis of ear-related traits in maize by using joint analysis of multiple generations. J Plant Genet Resour, 01, 13: (in Chinese with English abstract) [9],,,,,,,,,,.., 01, 45: Huang B Y, Zhang X Y, Miao L J, Liu H, Qin L, Xu J, Zhang Z X, Tang F S, Dong W Z, Han S Y, Liu Z Y. Inheritance analysis of oleic acid and linoleic acid content of Arachis hypogaea L. Sci Agric Sin, 01, 45: (in Chinese with English abstract) [10],,,,,,, , 013, 8(1): Li H, Liu L Z, Yang X S, Liang Z Y, Shen W N, Xi Y J, Wang Z L, Liu S D. Major plus multi-gene analysis of resistance to powdery mildew in wheat strain Acta Agric Boreali-Sin, 013, 8(1): (in Chinese with English abstract) [11],,,,. +., 008, 34: Li Y S, Zhu Z, Zhang Y D, Zhao L, Wang C L. Genetic analysis of rice false smut resistance using major gene plus polygene mixed genetic model. Acta Agron Sin, 008, 34: (in Chinese with English abstract)

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