Literature DB >> 17492267

Identification of trait-improving quantitative trait loci for grain yield components from a dent corn inbred line in an advanced backcross BC2F2 population and comparison with its F2:3 population in popcorn.

Y L Li1, S Z Niu, Y B Dong, D Q Cui, Y Z Wang, Y Y Liu, M G Wei.   

Abstract

Normal maize germplasm could be used to improve the grain yield of popcorn inbreds. Our first objective was to locate genetic factors associated with trait variation and make first assessment on the efficiency of advanced backcross quantitative trait locus (AB-QTL) analysis for the identification and transfer of favorable QTL alleles for grain yield components from the dent corn inbred. A second objective was to compare the detection of QTL in the BC2F2 population with results using F(2:3) lines of the same parents. Two hundred and twenty selected BC2F2 families developed from a cross between Dan232 and an elite popcorn inbred N04 were evaluated for six grain yield components under two environments, and genotyped by means of 170 SSR markers. Using composite interval mapping (CIM), a total of 19 significant QTL were detected. Eighteen QTL had favorable alleles contributed by the dent corn parent Dan232. Sixteen of these favorable QTL alleles were not in the same or near marker intervals with QTL for popping characteristics. Six QTL were also detected in the F(2:3) population. Improved N04 could be developed from 210 and 208 families with higher grain weight per plant and/or 100-grain weight, respectively, and 35 families with the same or higher popping expansion volume than N04. In addition, near isogenic lines containing detected QTL (QTL-NILs) for grain weight per plant and/or 100-grain weight could be obtained from 12 families. Our study demonstrated that the AB-QTL method can be applied to identify and manipulate favorable QTL alleles from normal corn inbreds and combine QTL detection and popcorn breeding efficiently.

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Year:  2007        PMID: 17492267     DOI: 10.1007/s00122-007-0549-6

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.574


  30 in total

1.  QTL analysis of popping fold and the consistency of QTLs under two environments in popcorn.

Authors:  Yu-Ling Li; Yong-Bin Dong; Su-Zhen Niu
Journal:  Yi Chuan Xue Bao       Date:  2006-08

2.  Comparative mapping in F2∶3 and F 6∶7 generations of quantitative trait loci for grain yield and yield components in maize.

Authors:  D F Austin; M Lee
Journal:  Theor Appl Genet       Date:  1996-05       Impact factor: 5.699

3.  Molecular-marker-facilitated studies of morphological traits in maize. II: Determination of QTLs for grain yield and yield components.

Authors:  L R Veldboom; M Lee
Journal:  Theor Appl Genet       Date:  1994-10       Impact factor: 5.699

4.  Quantitative trait locus (QTL) mapping using different testers and independent population samples in maize reveals low power of QTL detection and large bias in estimates of QTL effects.

Authors:  A E Melchinger; H F Utz; C C Schön
Journal:  Genetics       Date:  1998-05       Impact factor: 4.562

5.  Advanced backcross QTL analysis in barley (Hordeum vulgare L.).

Authors:  K Pillen; A Zacharias; J Léon
Journal:  Theor Appl Genet       Date:  2003-04-02       Impact factor: 5.699

6.  [Construction of a genetic map and location of quantitative trait loci for yield component traits in maize by SSR markers].

Authors:  D Q Xiang; H H Cao; Y G Cao; J P Yang; L J Huang; S C Wang; J R Dai
Journal:  Yi Chuan Xue Bao       Date:  2001-08

7.  Mapping maize microsatellites and polymerase chain reaction confirmation of the targeted repeats using a CT primer.

Authors:  M L Senior; M Heun
Journal:  Genome       Date:  1993-10       Impact factor: 2.166

8.  Precision mapping of quantitative trait loci.

Authors:  Z B Zeng
Journal:  Genetics       Date:  1994-04       Impact factor: 4.562

9.  Mapping QTL for popping expansion volume in popcorn with simple sequence repeat markers.

Authors:  H-J Lu; R Bernardo; H W Ohm
Journal:  Theor Appl Genet       Date:  2002-08-16       Impact factor: 5.699

10.  Fine mapping of three quantitative trait loci for late blight resistance in tomato using near isogenic lines (NILs) and sub-NILs.

Authors:  D J Brouwer; D A St Clair
Journal:  Theor Appl Genet       Date:  2003-10-28       Impact factor: 5.699

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  21 in total

1.  Verification and fine mapping of qGW1.05, a major QTL for grain weight in maize (Zea mays L.).

Authors:  Qiang Zhou; Yongbin Dong; Qingling Shi; Long Zhang; Huanqing Chen; Chunhui Hu; Yuling Li
Journal:  Mol Genet Genomics       Date:  2017-04-12       Impact factor: 3.291

2.  Four rice QTL controlling number of spikelets per panicle expressed the characteristics of single Mendelian gene in near isogenic backgrounds.

Authors:  Yushan Zhang; Lijun Luo; Touming Liu; Caiguo Xu; Yongzhong Xing
Journal:  Theor Appl Genet       Date:  2009-01-20       Impact factor: 5.699

3.  Identification of QTL for maize grain yield and kernel-related traits.

Authors:  Cong Yang; Lei Zhang; Aimin Jia; Tingzhao Rong
Journal:  J Genet       Date:  2016-06       Impact factor: 1.166

4.  Fine mapping and candidate gene analysis of qhkw5-3, a major QTL for kernel weight in maize.

Authors:  Wenliang Li; Qinghe Bai; Weimin Zhan; Chenyu Ma; Shunyou Wang; Yuanyuan Feng; Mengdi Zhang; Ying Zhu; Ming Cheng; Zhangying Xi
Journal:  Theor Appl Genet       Date:  2019-06-11       Impact factor: 5.699

5.  A comprehensive meta-analysis of plant morphology, yield, stay-green, and virus disease resistance QTL in maize (Zea mays L.).

Authors:  Yijun Wang; Jing Xu; Dexiang Deng; Haidong Ding; Yunlong Bian; Zhitong Yin; Yarong Wu; Bo Zhou; Ye Zhao
Journal:  Planta       Date:  2015-10-16       Impact factor: 4.116

6.  Identification of differentially expressed genes at two key endosperm development stages using two maize inbreds with large and small grain and integration with detected QTL for grain weight.

Authors:  Y Y Liu; J Z Li; Y L Li; M G Wei; Q X Cui; Q L Wang
Journal:  Theor Appl Genet       Date:  2010-04-04       Impact factor: 5.699

7.  Comparative mapping of quantitative trait loci for tassel-related traits of maize in F2:3 and RIL populations.

Authors:  Qiang Yi; Yinghong Liu; Xiangge Zhang; Xianbin Hou; Junjie Zhang; Hanmei Liu; Yufeng Hu; Guowu Yu; Yubi Huang
Journal:  J Genet       Date:  2018-03       Impact factor: 1.166

8.  Identification of bioconversion quantitative trait loci in the interspecific cross Sorghum bicolor × Sorghum propinquum.

Authors:  Joshua P Vandenbrink; Valorie Goff; Huizhe Jin; Wenqian Kong; Andrew H Paterson; F Alex Feltus
Journal:  Theor Appl Genet       Date:  2013-07-09       Impact factor: 5.699

9.  QTL underlying the resistance to soybean aphid (Aphis glycines Matsumura) through isoflavone-mediated antibiosis in soybean cultivar 'Zhongdou 27'.

Authors:  Fanli Meng; Yingpeng Han; Weili Teng; Yongguang Li; Wenbin Li
Journal:  Theor Appl Genet       Date:  2011-08-20       Impact factor: 5.699

10.  Genetic analysis and major QTL detection for maize kernel size and weight in multi-environments.

Authors:  Ying Liu; Liwei Wang; Chuanlong Sun; Zuxin Zhang; Yonglian Zheng; Fazhan Qiu
Journal:  Theor Appl Genet       Date:  2014-02-20       Impact factor: 5.699

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