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פותח על ידי קלירמאש פתרונות בע"מ -
DNA fingerprints applied to gene introgression in breeding programs
Year:
1990
Source of publication :
Genetics (מקור פרסום )
Authors :
הברפלד, אלון
;
.
לביא, אורי
;
.
Volume :
124
Co-Authors:
Hillel, J., Department of Genetics, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot 76100, Israel
Schaap, T., Department of Genetics, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot 76100, Israel
Haberfeld, A., Department of Genetics, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot 76100, Israel
Jeffreys, A.J., Department of Genetics, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot 76100, Israel
Plotzky, Y., Department of Genetics, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot 76100, Israel
Cahaner, A., Department of Genetics, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot 76100, Israel
Lavi, U., Department of Genetics, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot 76100, Israel
Facilitators :
From page:
783
To page:
789
(
Total pages:
7
)
Abstract:
An application of DNA fingerprints (DFP) for gene introgression in breeding programs of both farm animals and plants is proposed. DFP loci, detectable by minisatellite probes, are extremely polymorphic. Individuals have unique patterns of DFP and thus can be selected for maximal genomic similarity to the recipient line, and minimal similarity to the donor line, using their DFP patterns as the criterion for similarity. This genomic selection (GS) can be performed at generations BC1, BC2 or both, and thus significantly reduce the required number of backcross generations in introgression breeding programs. The association between genomic and DFP similarity is demonstrated. Theoretical distributions and variances of the relative percentages of the donor and recipient genomes as the basis for the GS approach are presented.
Note:
Related Files :
Animal
breeding
Female
Genes
genetic engineering
Genome
goats
Heredity
Male
Variation (Genetics)
עוד תגיות
תוכן קשור
More details
DOI :
Article number:
0
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
18486
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:22
Scientific Publication
DNA fingerprints applied to gene introgression in breeding programs
124
Hillel, J., Department of Genetics, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot 76100, Israel
Schaap, T., Department of Genetics, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot 76100, Israel
Haberfeld, A., Department of Genetics, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot 76100, Israel
Jeffreys, A.J., Department of Genetics, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot 76100, Israel
Plotzky, Y., Department of Genetics, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot 76100, Israel
Cahaner, A., Department of Genetics, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot 76100, Israel
Lavi, U., Department of Genetics, Faculty of Agriculture, The Hebrew University of Jerusalem, Rehovot 76100, Israel
DNA fingerprints applied to gene introgression in breeding programs
An application of DNA fingerprints (DFP) for gene introgression in breeding programs of both farm animals and plants is proposed. DFP loci, detectable by minisatellite probes, are extremely polymorphic. Individuals have unique patterns of DFP and thus can be selected for maximal genomic similarity to the recipient line, and minimal similarity to the donor line, using their DFP patterns as the criterion for similarity. This genomic selection (GS) can be performed at generations BC1, BC2 or both, and thus significantly reduce the required number of backcross generations in introgression breeding programs. The association between genomic and DFP similarity is demonstrated. Theoretical distributions and variances of the relative percentages of the donor and recipient genomes as the basis for the GS approach are presented.
Scientific Publication
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