Compositions and Methods of Plant Breeding Using High Density Marker Information

a marker information and high density technology, applied in knowledge representation, instruments, computing models, etc., can solve the problems of limiting inferences, reducing the efficiency of breeding programs, and reducing the efficiency of plant breeding, so as to improve the germplasm of plants
US20100293673A1Inactive Publication Date: 2010-11-18MONSANTO TECH LLC
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Patent Information

Authority / Receiving Office
US · United States
Patent Type
Applications(United States)
Current Assignee / Owner
MONSANTO TECH LLC
Publication Date
2010-11-18
Estimated Expiration
Not applicable · inactive patent

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Abstract

The present invention relates to breeding methods to enhance the germplasm of a plant. The methods describe the identification and accumulation of preferred haplotype genomic regions in the germplasm of breeding populations of maize (Zea mays) and soybean (Glycine max). The invention also relates to maize and soybean plants comprising preferred haplotypes.
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Description

CROSS-REFERENCE TO RELATED APPLICATIONS

[0001] This application claims priority to U.S. Provisional Application Ser. No. 60 / 837,864 (filed Aug. 15, 2006), which is incorporated herein by reference in its entirety.FIELD OF THE INVENTION

[0002] This invention relates to the field of plant breeding, in particular to methods to facilitating informed germplasm improvement activities within a breeding program by defining haplotypes within pre-determined chromosomal windows within a genome and associating the haplotypes with haplotype effect estimates for one or more traits, wherein the associations can be made de novo or by leveraging historical marker-trait association data. Accordingly, the methods of the present invention enable decisions related to germplasm improvement activities to be made by ranking haplotypes based on numerical values, wherein the values represent the haplotype effect estimates, haplotype frequency, and / or breeding values. Herein, breeding values are calculated based ...

Claims

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