Literature DB >> 12955212

Comparative analysis of response to phenotypic and marker-assisted selection for multiple lateral branching in cucumber ( Cucumis sativus L.).

G Fazio1, S M Chung, J E Staub.   

Abstract

Yield increase in processing cucumber ( Cucumis sativus L.) is positively correlated with an increase in number of fruit-bearing branches. Multiple lateral branching (MLB) is a metric trait controlled by at least five effective factors. Breeding efficacy might be improved through marker-assisted selection (MAS) for MLB. Experiments were designed to independently confirm previously determined linkage of molecular markers (L18-2-H19A SNP, CSWTAAA01 SSR, CSWCT13 SSR, W7-2 RAPD and BC-551 RAPD) to MLB, and to determine their utility in MAS. These markers were present in significantly higher frequency than expected (1, presence:3, absence; p < 0.001) in BC(2) plants selected based on a high MLB phenotype (BC(2)PHE). However, markers that were considered selectively neutral fit the expected segregation of donor parent DNA in BC(2) progeny. Markers linked to MLB were used in MAS of BC(1) and BC(2) plants to produce BC(2)MAS, and BC(3)MAS progeny. Means for MLB in MAS populations were compared with backcross populations developed through phenotypic selection (BC(2)PHE, BC(3)PHE) and by random mating where no selection had been applied (BC(2)RND, BC(3)RND). Statistical analysis showed no significant differences ( p < 0.001) between means of phenotypic (BC(2)PHE = 3.02, BC(3)PHE = 3.29) and marker-aided selection (BC(2)MAS = 3.12, BC(3)MAS = 3.11) for MLB. However, both phenotypic and MAS population means were significantly higher than the random control (BC(2)RND = 2.27, BC(3)RND = 2.41) for MLB. Thus, given the observed response to selection and the rapid life-cycle of cucumber (4 months), markers linked to MLB when used in MAS will most likely be effective tools in cucumber improvement.

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Year:  2003        PMID: 12955212     DOI: 10.1007/s00122-003-1313-1

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  5 in total

1.  Using markers in gene introgression breeding programs.

Authors:  F Hospital; C Chevalet; P Mulsant
Journal:  Genetics       Date:  1992-12       Impact factor: 4.562

2.  Marker-assisted introgression of quantitative trait loci.

Authors:  F Hospital; A Charcosset
Journal:  Genetics       Date:  1997-11       Impact factor: 4.562

3.  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

4.  Towards an expanded and integrated linkage map of cucumber (Cucumis sativus L.).

Authors:  J M Bradeen; J E Staub; C Wye; R Antonise; J Peleman
Journal:  Genome       Date:  2001-02       Impact factor: 2.166

5.  Genetic mapping and QTL analysis of horticultural traits in cucumber ( Cucumis sativus L.) using recombinant inbred lines.

Authors:  G Fazio; J E Staub; M R Stevens
Journal:  Theor Appl Genet       Date:  2003-06-25       Impact factor: 5.699

  5 in total
  11 in total

1.  Mapping of genetic loci that regulate quantity of beta-carotene in fruit of US Western Shipping melon (Cucumis melo L.).

Authors:  H E Cuevas; J E Staub; P W Simon; J E Zalapa; J D McCreight
Journal:  Theor Appl Genet       Date:  2008-09-05       Impact factor: 5.699

2.  Construction of two BAC libraries from cucumber (Cucumis sativus L.) and identification of clones linked to yield component quantitative trait loci.

Authors:  Y-W Nam; J-R Lee; K-H Song; M-K Lee; M D Robbins; S-M Chung; J E Staub; H-B Zhang
Journal:  Theor Appl Genet       Date:  2005-04-30       Impact factor: 5.699

Review 3.  Recent status of Genotyping by Sequencing (GBS) Technology in cucumber (Cucumis sativus L.): a review.

Authors:  Fildaus Nyirahabimana; Flavien Shimira; Ghassan Zahid; Ilknur Solmaz
Journal:  Mol Biol Rep       Date:  2022-05-20       Impact factor: 2.742

4.  Comparative analysis of marker-assisted and phenotypic selection for yield components in cucumber.

Authors:  Matthew Darwin Robbins; Jack E Staub
Journal:  Theor Appl Genet       Date:  2009-05-31       Impact factor: 5.699

5.  Genetic mapping and QTL analysis of horticultural traits in cucumber ( Cucumis sativus L.) using recombinant inbred lines.

Authors:  G Fazio; J E Staub; M R Stevens
Journal:  Theor Appl Genet       Date:  2003-06-25       Impact factor: 5.699

6.  A consensus linkage map identifies genomic regions controlling fruit maturity and beta-carotene-associated flesh color in melon (Cucumis melo L.).

Authors:  H E Cuevas; J E Staub; P W Simon; J E Zalapa
Journal:  Theor Appl Genet       Date:  2009-06-24       Impact factor: 5.699

7.  Population development by phenotypic selection with subsequent marker-assisted selection for line extraction in cucumber (Cucumis sativus L.).

Authors:  Zhicheng Fan; Matthew D Robbins; Jack E Staub
Journal:  Theor Appl Genet       Date:  2006-01-06       Impact factor: 5.574

8.  Detection of QTL for yield-related traits using recombinant inbred lines derived from exotic and elite US Western Shipping melon germplasm.

Authors:  J E Zalapa; J E Staub; J D McCreight; S M Chung; H Cuevas
Journal:  Theor Appl Genet       Date:  2007-02-09       Impact factor: 5.574

9.  An integrated genetic and cytogenetic map of the cucumber genome.

Authors:  Yi Ren; Zhonghua Zhang; Jinhua Liu; Jack E Staub; Yonghua Han; Zhouchao Cheng; Xuefeng Li; Jingyuan Lu; Han Miao; Houxiang Kang; Bingyan Xie; Xingfang Gu; Xiaowu Wang; Yongchen Du; Weiwei Jin; Sanwen Huang
Journal:  PLoS One       Date:  2009-06-04       Impact factor: 3.240

10.  Modeling of genetic gain for single traits from marker-assisted seedling selection in clonally propagated crops.

Authors:  Sushan Ru; Craig Hardner; Patrick A Carter; Kate Evans; Dorrie Main; Cameron Peace
Journal:  Hortic Res       Date:  2016-04-20       Impact factor: 6.793

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