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

Marker-assisted selection is proposed to be more effective than phenotypic selection in improving complex traits with low heritability. This study was designed to test empirically the efficiency of marker-assisted selection (MAS) vs. phenotypic selection (PS) in enhancing economically important characters in sweet corn using composite populations consisting of selected F2:3 families from two populations. In previous studies in our laboratory, these segregating populations were developed and assayed for genes influencing sweet corn emergence and eating quality. The 214 F2:3 families in the first population (W678su1 × IL731ase1) were classified into three sub-populations according to segregation for the se1gene. Marker-assisted selection and phenotypic selection were applied on the two homozygous sugary1 and sugary enhancer1 sub-populations separately. The second population consisted of 117 F2:3 families from the cross of Ia453sh2 × IL451bsh2. The genotypic selection was based on the polymorphism of five RFLP markers linked to QTL associated with significant effects on emergence and eating quality in the F2:3 generation. Twenty percent of the families in each population with the highest and lowest genotypic scores and phenotypic performance values were selected to constitute the MAS and PS composites, respectively. Emergence was evaluated in four different environments in Illinois and Wisconsin, while eating quality traits were evaluated in Illinois only. Results for emergence, with relatively high h2, in two out of three populations indicated that marker-assisted selection was superior to phenotypic selection. The effectiveness of MAS on enhancing stand establishment and eating quality will be discussed.

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Marker-assisted selection for quantitative traits

Cropp Breeding and Applied Biotechnology ◽

10.1590/s1984-70332011000500008 ◽

2011 ◽

Vol 11 (spe) ◽

pp. 50-55 ◽

Cited By ~ 11

Author(s):

Ivan Schuster

Keyword(s):

Molecular Markers ◽

Cost Reduction ◽

Marker Assisted Selection ◽

Quantitative Traits ◽

Large Scale ◽

Recurrent Selection ◽

Phenotypic Selection ◽

Breeding Programs ◽

The Subject ◽

Selection For

Although thousands of scientific articles have been published on the subject of marker-assisted selection (MAS) and quantitative trait loci (QTL), the application of MAS for QTL in plant breeding has been restricted. Among the main causes for this limited use are the low accuracy of QTL mapping and the high costs of genotyping thousands of plants with tens or hundreds of molecular markers in routine breeding programs. Recently, new large-scale genotyping technologies have resulted in a cost reduction. Nevertheless, the MAS for QTL has so far been limited to selection programs using several generations per year, where phenotypic selection cannot be performed in all generations, mainly in recurrent selection programs. Methods of MAS for QTL in breeding programs using self-pollination have been developed.

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Use of phenotypic selection and hypocotyl properties as predictive selection criteria in pumpkin (Cucurbita moschata Duch.) rootstock lines used for grafted cucumber (Cucumis sativus L.) seedling cultivation

TURKISH JOURNAL OF AGRICULTURE AND FORESTRY ◽

10.3906/tar-1709-52 ◽

2018 ◽

Vol 42 (2) ◽

Author(s):

ONUR KARAAĞAÇ ◽

AHMET BALKAYA ◽

MÜNEVVER GÖÇMEN ◽

İSMAİL ŞİMŞEK ◽

DİLEK KANDEMİR

Keyword(s):

Cucumis Sativus ◽

Selection Criteria ◽

Phenotypic Selection ◽

Cucurbita Moschata ◽

Cucumis Sativus L

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Efficiency of Marker Assisted Selection(MAS) over The Phenotypic Selection for Economic Traits in Economic Animals

Journal of Animal Science and Technology ◽

10.5187/jast.2002.44.6.669 ◽

2002 ◽

Vol 44 (6) ◽

pp. 669-676

Keyword(s):

Marker Assisted Selection ◽

Phenotypic Selection ◽

Economic Traits ◽

Selection For

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Simulation of marker assisted selection for non-additive traits

Genetics Research ◽

10.1017/s0016672300032730 ◽

1994 ◽

Vol 64 (2) ◽

pp. 127-136 ◽

Cited By ~ 22

Author(s):

A. Gimelfarb ◽

R. Lande

Keyword(s):

Marker Assisted Selection ◽

Gene Action ◽

Phenotypic Selection ◽

Environment Interaction ◽

Genotype Environment Interaction ◽

Marker Loci ◽

Additive Gene ◽

Selection For ◽

Almost All ◽

Negative Dominance

SummaryMarker Assisted Selection (MAS) based on additive effects associated with alleles at marker loci, estimated by linear regression of individual phenotype on the markers, was applied to characters with non-additive gene action and non-additive environment. The base population was the F2 generation of a cross between two inbred lines. Computer simulations of MAS were conducted for characters with dominance, epistasis and genotype-environment interaction approximated by the ‘additive-multiplicative’ model. MAS was more effective than purely phenotypic selection in all cases. The efficiency of MAS for characters with non-additive gene actionis comparable to (and for negative dominance even higher than) the efficiency of MAS for strictly additive characters. Environmental non-additivity, however, lowers the efficiency of MAS. Almost all results concerning the efficiency of MAS in our previoussimulations of purelyadditive traits are applicable to non-additive traits.

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Efficiency of marker-assisted selection for ascochyta blight in chickpea

The Journal of Agricultural Science ◽

10.1017/s0021859613000865 ◽

2013 ◽

Vol 153 (1) ◽

pp. 56-67 ◽

Cited By ~ 13

Author(s):

P. CASTRO ◽

J. RUBIO ◽

E. MADRID ◽

M. D. FERNÁNDEZ-ROMERO ◽

T. MILLÁN ◽

...

Keyword(s):

Marker Assisted Selection ◽

Ascochyta Blight ◽

Phenotypic Selection ◽

Susceptible Parent ◽

Distorted Segregation ◽

Resistant Lines ◽

Breeding Programmes ◽

Phenotype Distribution ◽

Selection For ◽

Resistant Genotypes

SUMMARYThe extent to which markers have been used in chickpea breeding programmes has not been clearly determined. In the current study, phenotypic and marker-assisted selection (MAS) were employed to select blight resistant genotypes, comparing the effectiveness of both methods. The phenotypic evaluation showed that the resistance could be recessive in the material employed. However, the high distorted segregation towards the susceptible parent detected on linkage group four (LG4) could also explain the phenotype distribution of resistance. Phenotypic selection in F2:4 and F2:5 generations lead to an increase in the frequency of the allele associated with the resistance of the markers CaETR and GAA47, indicating the usefulness of these markers for MAS. The markers TA72 and SCY17 could be also useful for MAS but the high distorted segregation towards the susceptible parent in the region where these markers are located could explain their low effectiveness. The costs associated with phenotypic selection and MAS for ascochyta blight resistance during three cycles of selection are presented in the current study, showing that MAS was more expensive than phenotypic selection. Nevertheless, the use of markers reduced the time taken to select resistant lines. The markers analysed in the current study were useful to select genotypes resistant to ascochyta blight in chickpea breeding programmes, allowing pyramiding genes or quantitative trait loci (QTL) related to different pathotypes. It is recommended that MAS should be employed in early generations of chickpea breeding programmes for the four QTL analysed because this makes it possible to develop populations with a high frequency of the favourable alleles conferring resistance to blight.

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