控制双亲混合选择对不同玉米合成群体的改良效应

doi:10.3724/SP.J.1006.2010.00076

摘要/Abstract

摘要：

基于田间试验的统计分析和SSR分子标记的遗传参数评估，分析了3个玉米人工合成群体GP3、GP4和GP5经4轮控制双亲混合选择的改良效应。结果表明，多数性状在不同群体及不同轮回间存在真实的遗传差异，粒深遗传增益以GP4＞GP5＞GP3，穗行遗传增益以GP3＞GP5＞GP4，各个群体C4的粒深、穗行均值都显著或极显著大于C0，直接选择效应显著；株高和穗位高随选择周期增加呈明显增加趋势，且GP4的增幅显著大于GP3和GP5，单株产量及穗粗的遗传增益以GP4大于GP3和GP5，各群体多数产量性状的均值以C4显著大于C0，相关选择效应显著；除株高、穗位高外，其他性状GCA变异群体间差异达显著或极显著水平，GP5多数产量性状的GCA优于GP3和GP4，各群体多数产量性状的GCA效应值随改良进展呈增加趋势，对照优势大于8%的大部分测交组合均为各群体C4所配组合，间接选择效应显著；随改良世代进行，群体部分性状的表型变异系数虽有所减小，但变化幅度不大；基于SSR分子标记估算的群体内遗传相似系数，GP3和GP4改良后代呈略增趋势，GP5变化不大，对于群体基因型数，GP3和GP4随改良代数增加呈略减趋势，GP5呈略增趋势。上述结果说明，适度控制双亲混合选择在有效改良群体的同时，还能较好地保持群体的遗传多样性，但不同基础群体及不同性状间，其改良效应存在一定的差异。

关键词: 玉米, 群体改良, 选择效应, 遗传多样性, SSR

Abstract:

On the basis ofstatistical analysis offield test and genetic parameters evaluation by Simple Sequence Repeat (SSR) markers, the experiment was conducted with three maize synthetic populations GP3, GP4 and GP5 with mass selection for 4 cycles. The results showed that there existed genetic differences in most traits for the different populations and cycles, and the significant interaction effects between populations with cycles. The genetic gain was GP3<GP5<GP4in kernel depth and GP3> GP5>GP4 in rows per ear. After 4 cycles of mass selection, there was an obvious increase in the mean kernel depth and rows per ear, which displayed significant direct responses. Plant height and ear height exhibited an increase with selection, and the increase in GP4 was significantly higher than that in GP3 and GP5. The genetic gain of GP4 in yield per plant and ear diameter was higher than that of GP3 and GP5. Compared the cycle C4 with C0, most yield traits were improved for all the populations, which implied asignificant correlated response. Excluding plant height and ear height, the differences in GCA were significant for the other traits. The GCA effects of GP5 in most yield traits were higher than those of GP3 and GP4. The population improvement by mass selection resulted in an increase in the GCA effects of most yield traits. Most test-cross combinations, with more than 8% of yield per plant over the check, were derived from the cycle C4 of all the populations, which displayed significant indirect responses to mass selection. For the coefficients of variation in phenotypic traits, there were no obvious changes. For the genetic similarity coefficients of intrapopulation, there were a gradual increase in the derivatives of GP3 and GP4 and no changes in those of GP5. The genotype number in the derivatives of GP3 and GP4 showed a decreasing tendency while a little increases in those of GP5. The results above indicated that populations might be improved effectively and retained a high genetic diversity by mass selection. However, there existed different effects of genetic improvement on different populations and traits.

Key words: Maize, Population improvement, Response to selection, Genetic diversity, SSR markers

邹超英，李芦江，杨克诚*，潘光堂，荣廷昭. 控制双亲混合选择对不同玉米合成群体的改良效应[J]. 作物学报, 2010, 36(1): 76-84.

ZOU Chao-Ying,LI Lu-Jiang,YANG Ke-Cheng*,PAN Guang-Tang,RONG Ting-Zhao. Effects of Improvement by Mass Selection on the Different Maize Synthetic Populations[J]. Acta Agron Sin, 2010, 36(1): 76-84.

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链接本文: https://zwxb.chinacrops.org/CN/10.3724/SP.J.1006.2010.00076

https://zwxb.chinacrops.org/CN/Y2010/V36/I1/76

参考文献

[1] Liu J-L(刘纪麟). Maize Breeding (玉米育种学). Beijing: China Agriculture Press, 2002. pp 201-220 (in Chinese)

[2] Zhang S-H(张世煌), Bai L(白丽), Guo Z(郭珍), Shi D-Q(石德权). Tendency of corn breeding research. Crops (作物杂志), 1997, (5): 5-8(in Chinese)

[3] Wang Y-B(王懿波), Wang Z-H(王振华), Wang Y-P(王永普), Zhang X(张新), Lu L-X(陆利行), Tian Z-Y(田曾元). The Improvement of principal maize germplasms and utilization of heterosis models in China. J Maize Sci (玉米科学), 1999, 7(1): 1-8 (in Chinese with English abstract)

[4] Zhang Q-J(张前进), Wang Z-H(王振华), Zhang X(张新), Wang J-P(王俊璞). Innovative and utilization of maize germplasm resources. J Henan Agric Sci (河南农业科学), 2006, (4): 28-31 (in Chinese)

[5] Rong T-Z(荣廷昭), Li W-C(李晚忱), Yang K-C(杨克诚), Zhang B(张彪), Zhang S-K(张述宽), Tang H-J(唐洪军), Fan X-M(番兴明). Maize Breeding of Southwest Ecological Regions (西南生态区玉米育种). Beijing: China Agriculture Press, 2003. pp 249-250 (in Chinese)

[6] Lu B-H(卢宝红), Zhang Y-R(张义荣), Wei L-M(魏良明), Du R-S(杜如珊), Liu H-W(刘华伟), Li J-S(李建生). Application of near-infrared reflectance spectroscopy in recurrent selection of maize. J Shanxi Agric Sci (山西农业科学), 2005, 33(2): 28-31 (in Chinese with English abstract)

[7] Genter C.F. Mass selection in a composite of intercrosses of Mexican races of maize. Crop Sci, 1976, 16: 556-558

[8] Chen Y-H(陈彦惠), Zhang C-Z(张传贞), Gao S-L(高素玲). Effect of mass selection on population improvement of maize. J Henan Agric Univ (河南农业大学学报), 1994, 28(4): 379-383 (in Chinese with English abstract)

[9] Peng Z-B(彭泽斌), Liu X-Z(刘新芝). Evaluation of mass selection VS. modified S1 line recurrent selection in maize population Zhongzong No.3. Sci Agric Sin (中国农业科学), 1993, 26(1): 22-31 (in Chinese with English abstract)

[10] Zhang R-H(张仁和), Xue J-Q(薛吉全), Mao J-C(毛建昌), Li F-Y(李凤艳), Ma G-S(马国胜). Study on genetic markers and germplasm resources in maize. J Maize Sci (玉米科学), 2005, 13(3): 14-16 (in Chinese with English abstract)

[11] Wang T-G(王铁固), Ku L-X(库丽霞), Chen Y-H(陈彦惠), Wu L-C(吴连成), Hou B-J(侯本军). Analysis of genetic variability of maize population by SSR. J Huabei Agric Sci (华北农学报), 2005, 20(5): 13-16 (in Chinese with English abstract)

[12] Hang S-H(黄素华), Teng W-T(滕文涛), Wang Y-J(王玉娟), Dai J-R(戴景瑞). Genetic diversity analysis of maize recurrent selection populations by SSR marker. Acta Genet Sin (遗传学报), 2004, 31(1): 73-80 (in Chinese with English abstract)

[13] Zhang J-H(张建辉), Rong T-Z(荣廷昭), Pan G-T(潘光堂), Yang K-C(杨克诚). Breeding potentiality of major traits for five synthesized corn populations. Acta Agron Sin (作物学报), 2006, 32(2): 273-277 (in Chinese with English abstract)

[14] Xia X C, Reif J C, Melchinger A E, Frish M, Hoising D A, Beck D, Pixley K, Warburton M L. Genetic diversity among CIMMYT maize inbred lines investigated with SSR marker: II. Suptropica1, tropical midaltitude, and highland maize inbred lines and their relationships with elite U. S. and European maize. Crop Sci, 2005, 45: 2573-2582

[15] Xin J-S(辛景树). DNA Fingerprint of Maize Hybrids (杂交玉米品种DNA指纹图谱). Beijing: China Agricultural Science and Technology Press, 2004. pp 194-196 (in Chinese)

[16] Nei M, Li W H. Mathemacal model for studying genetic variation in terms of restriction endonucleases. Proc Nat Acad Sci USA, 1979, 76: 5256-5273

[17] Peng Z-B(彭泽斌), Zhang S-H(张世煌). Problems and strategies in maize population improvement. Sci Agric Sin (中国农业科学), 2000, 33(suppl): 27-33 (in Chinese with English abstract)

[18] Jenkins M T. Maize breeding during the development and early years of hybrid maize. New York: John Wiley and Sons, 1978

[19] Liu M-Z(刘美洲), Liang X-L(梁晓玲), Cao L-P(曹连莆), Abula A(阿布来提·阿布拉), Li M-D(李铭东), Han D-X(韩登旭), Shao H-Y(邵红雨). Genetic analysis of quantitative characters of Yedan 13 in Xinjiang environment. Xinjiang Agric Sci (新疆农业科学), 2008, 45(6): 1024-1027 (in Chinese with English abstract)

[20] Chen F-B(陈发波), Yang K-C(杨克诚), Rong T-Z(荣廷昭), Pan G-T(潘光堂). Studies on major characters of maize hybrids in the regional tests of Sichuan and Southwest China and the countermeasures for maize breeding. J Maize Sci (玉米科学), 2007, 15(4): 41-45 (in Chinese with English abstract)

[21] Shi C-Q(时成俏), Wang B-W(王兵伟), Huang A-X(黄安霞), Qin Y-Y(覃永嫒), Qin D-B(覃德斌). The effect analysis on main quantitative characters and yield of maize in the Karst Geomorphy area. Chin Agric Sci Bull (中国农学通报), 2008, 24(5): 204-207 (in Chinese with English abstract)
Shen X-F(沈雪芳), Wang Y-F(王义发), Zheng H-J(郑洪建), Liu K(刘康), Lou J-F(楼坚锋), Zhang J-M(张建明), Lu Y-M(陆永明), Hou G-B(侯根宝). Analysis of combining ability of yield traits of table waxy corn. Acta Agric Shanghai (上海农业学报), 2008, 24(2): 50-53 (in Chinese with English abstract)

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