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Acta Agron Sin ›› 2014, Vol. 40 ›› Issue (11): 1895-1904.doi: 10.3724/SP.J.1006.2014.01895

• CROP GENETICS & BREEDING · GERMPLASM RESOURCES · MOLECULAR GENETICS • Previous Articles     Next Articles

Effect of Different Recurrent Selection Methods on a Narrow Base Maize Population

LI Lu-Jiang,LAN Hai,PAN Guang-Tang,YANG Ke-Cheng*   

  1. Maize Research Institute, Sichuan Agricultural University / Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region, Ministry of Agriculture, Ya’an 625014, China
  • Received:2014-03-03 Revised:2014-07-06 Online:2014-11-12 Published:2014-08-04
  • Contact: 杨克诚, E-mail: fman4027@163.com, Tel: 0835-2882455

Abstract:

The narrow basis of maize germplasm is the main factor blocked the development of maize breeding in China. The population improvement via recurrent selection is one of effective methods for the improvement and expansion of maize germplasm. In this study, three kinds of recurrent selection methods were carried out to improve the narrow base maize population P4C0: a) five cycles of biparental mass selection (MS); b) one cycle of half-sib and S2:3 family combining selection (HS-S2:3) followed by three cycles of MS; and c) one cycle of open improvement (OI) by crossing two inbred lines to the population. In different ecological environments, the phenotypes of the developed populations were analyzed and the combining abilities were tested according to an incomplete diallel model to study the effects of the different methods. The effects of the different methods on genetic diversity of the populations were also analyzed by using 51 pairs of SSR markers. It was found that the effects of different methods on the main traits, general combing ability (GCA) and the genetic diversity were different. The effects of MS on yield, yield components and their GCAs were greater than these of HS-S2:3. In addition, MS was more effective on maintaining the genetic diversity of the population. The HS-S2:3 were more beneficial to maintain plant height and ear height of the population. The OI was more effective on the improvement of yield, yield components and their GCAs than MS. Genetic diversity was maintained in the first two cycles of MS on P4C0 then decreased slightly from the 3rd cycle. Genetic diversity decreased after one cycle of HS-S2:3 and increased after 3 cycles of MS or 1 cycle of OI.

Key words: Maize, Population, Recurrent selection, Traits, Combining ability, Genetic diversity

[1]哈洛威 A R. 玉米轮回选择的理论与实践. 北京: 农业出版社, 1989. pp 47–120

Hallauer A R. Theory and Practice for Recurrent Selection in Maize Population. Beijing: Agriculture Press, 1989. pp 47–120 (in Chinese)

[2]张德贵, 李新海, 李明顺, 谢传晓, 郝转芳, 白丽, 张世煌, 潘光堂. 四个热带亚热带玉米群体开花期性状对混合选择的直接选择响应. 作物学报, 2010, 36: 28–35

Zhang D G, Li X H, Li M S, Xie C X, Hao Z F, Bai L, Zhang S H, Pan G T. Direct selection response for flowering traits in four tropical and subtropical maize populations by mass selection. Acta Agron Sin, 2010, 36: 28–35 (in Chinese with English abstract)

[3]Lamkey K R, Dudley J W. Mass selection and inbreeding depression in three autotetraploid maize synthetics. Crop Sci, 1984, 24: 802–806

[4]Weyhrich R A, Lamkey K R, Hallauer A R. Response of seven methods of recurrent selection in the BS11 maize population. Crop Sci, 1998, 38: 308–321

[5]Leon T N, Coors J G. Twenty-four cycles of mass selection for prolificacy in the Golden Glow maize population. Crop Sci, 2002, 42: 325–333

[6]彭泽斌, 刘新芝, 孙福来. 中综3号玉米群体格子混合选择效果分析. 作物学报, 2000, 26: 618–622

Peng Z B, Liu X Z, Sun F L. Effects of grid mass selection in ZZ3 maize population. Acta Agron Sin, 2000, 26: 618–622 (in Chinese with English abstract)

[7]魏昕, 荣廷昭, 潘光堂. 墨白964群体5轮混合选择遗传变异的分子生物学研究. 中国农业科学, 2006, 39(2): 237–245

Wei X, Rong T Z, Pan G T. The genetic diversiy variation revealed by ssr markers in the tropical maize population Pob32 after 5 cycles of mass selection. Sci Agric Sin, 2006, 39(2): 237–245 (in Chinese with English abstract)

[8]谢振江, 张锦芬, Lazar K. 中国和南斯拉夫异地育种对南斯拉夫玉米群体改良的效果. 南京农业大学学报, 2001, 24 (3): 6–10

Xie Z J, Zhang J F, Lazar K. The effect of Yugoslavia maize population improvement through different locational breeding between China and Yugoslavia. J Nanjing Agric Univ, 2001, 24 (3): 6–10 (in Chinese with English abstract)

[9]Holthaus J F, Lamkey K R. Population means and genetic variances in selected and unselected Iowa Stiff Stalk Synthetic maize populations . Crop Sci, 1995, 35: 1581–1589

[10]Weyhrich R A, Lamkey K R, Hallauer A R. Response of seven methods of recurrent selection in the BS11 maize population. Crop Sci, 1998, 38: 308–321

[11]刘仁东. 玉米开放的S1或S2轮回选择系统与优良自交系种质的循环利用. 作物杂志, 1994, (1): 12–14

Liu R D. The open S1 or S2 recurrent selection system and cyclic utilization of superior inbred lines in maize. Crops, 1994, (1): 12–14 (in Chinese)

[12]彭泽斌, 张世煌. 玉米群体改良的问题与对策. 中国农业科学, 2000, 33(增刊): 16–20

Peng Z B, Zhang S H. Problems and strategies in maize population improvement. Sci Agric Sin, 2000, 33(Suppl): 16–20 (in Chinese with English abstract)

[13]张建辉, 荣廷昭, 潘光堂, 杨克诚. 5个玉米人工合成群体主要性状育种潜势分析. 作物学报, 2006, 32: 273–277

Zhang J H, Rong T Z, Pan G T, Yang K C. Breeding potentiality of major traits for five corn synthesized corn populations. Acta Agron Sin, 2006, 32: 273–277 (in Chinese with English abstract)

[14]孔繁玲. 植物数量遗传学. 北京: 中国农业大学出版社, 2006. pp 282–284

Kong F L. Quantitative Genetic in Plant. Beijing: China Agricultural University Press, 2006. pp 282–284 (in Chinese)

[15]唐启义, 冯明光. DPS数据处理系统—试验设计、统计分析及模型优化. 北京: 科学出版社, 2006. pp 171–174

Tang Q Y, Feng M G. DPS Data Processing System Experiment Design, Statistical Analysis and Modeling. Beijing: Science Press, 2006. pp 171–174 (in Chinese)

[16]Kotchoni S O, Gachomo E W. A rapid and hazardous reagent free protocol for genomic DNA extraction suitable for genetic studies in plants. Mol Biol Rep, 2009, 36: 1633–1636

[17]王凤格, 赵久然, 郭景轮, 佘华姊, 刘龙渊. 一种改进的玉米的SSR标记PAGE/快速银染检测新方法. 农业生物技术学报, 2004, 12: 606–607

Wang F G. Zhao J R, Guo J L, Shen H Z, Liu L Y. An improved PAGE rapid silver stain method used in maize SSR markers. J Agric Biol, 2004, 12(5): 606–607 (in Chinese with English abstract)

[18]Rolf J F. NTSYS—pc2 Numerical Taxonomy and Multivariate Analysis System (CP). Version 2.0. New York: Exeter Software, 1998. pp 6–30

[19]Peakall R, Smouse P E. GENALEX 6: Genetic analysis in Excel. Population genetic software for teaching and research. Mol Ecol Notes, 2006, 6: 288–295

[20]Francis C Y, Yang R C, Boyle T. POPGENE VERSION 1.31—Microsoft Window-Based Freeware for Population Genetic Analysis Quick User Guide. Alberta: University of Alberta, 1999. pp 2–29

[21]Hallauer A R, Miranda J B. Quantitative Genetics in Maize Breeding. New York: Iowa State University Press, 1981. pp 111–124

[22]赖仲铭, 杨克诚. 全姊妹轮回选择与混合选择对玉米群体改良效果的初步研究. 作物学报, 1983, 9: 7–16

Lai Z M, Yang K C. Study on the improvement effect of full-sib recurrent selection and mass selection on maize population. Acta Agron Sin, 1983, 9: 7–16 (in Chinese with English abstract)

[23]Thanda D, Kevin V P. Divergent selection for resistance to maize weevil in six maize populations. Crop Sci, 2003, 43: 2043–2049

[24]Wardyn B M, Edwards J W, Lamkey K R. Inbred-progeny selection is predicted to be inferior to half-sib selection for three maize populations. Crop Sci, 2009, 49: 443–450

[25]库丽霞, 孟庆雷, 侯本军, 李家富, 刘海静, 陈彦惠. 轮回选择对豫综5号玉米群体产量性状配合力的改良效果. 作物学报, 2012, 38: 215–222

Ku L X, Meng Q L, Hou B J, Li J F, Liu H J, Chen Y H. Improvement efficiency of recurrent selection for the combining ability of yield trait in maize population Yuzong 5. Acta Agron Sin, 2012, 38: 215–222 (in Chinese with English abstract)

[26]黄素华, 滕文涛, 王玉娟, 戴景瑞. 利用SSR标记分析玉米轮回选择群体的遗传多样性. 遗传学报, 2004, 31: 73–80

Huang S H, Teng W T, Wang Y J, Dai J R. Genetic diversity analysis of m aize recurrent selection populations by SSR marker. Acta Gen Sin, 2004, 31: 73–80 (in Chinese with English abstract)

[27]Hinze L L, Kresovich S, Nason J D, Lamkey K R. Population genetic diversity in a maize reciprocal recurrent selection program. Crop Sci, 2005, 45: 2435–2442

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