Genomic Selection in Plant Breeding

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Material Information

Title:
Genomic Selection in Plant Breeding Predicting Breeding Values, Non-Additive Effects and Application to Mate-Pair Allocation
Physical Description:
1 online resource (125 p.)
Language:
english
Creator:
Resende, Marcio Fernando
Publisher:
University of Florida
Place of Publication:
Gainesville, Fla.
Publication Date:

Thesis/Dissertation Information

Degree:
Doctorate ( Ph.D.)
Degree Grantor:
University of Florida
Degree Disciplines:
Genetics and Genomics
Committee Chair:
KIRST,MATIAS
Committee Co-Chair:
BARBAZUK,WILLIAM BRADLEY
Committee Members:
MUNOZ,PATRICIO RICARDO
BLIZNYUK,NIKOLAY A
DE LOS CAMPOS,GUSTAVO

Subjects

Subjects / Keywords:
breeding -- gblup -- genomic -- mate-allocation
Genetics and Genomics -- Dissertations, Academic -- UF
Genre:
Genetics and Genomics thesis, Ph.D.
bibliography   ( marcgt )
theses   ( marcgt )
government publication (state, provincial, terriorial, dependent)   ( marcgt )
born-digital   ( sobekcm )
Electronic Thesis or Dissertation

Notes

Abstract:
Genomic selection is increasingly considered vital to accelerate genetic improvement, but prior to the research described here it was unknown how accurate prediction models remained across environments and ages. The work presented here pioneered the application of genomic selection in Pinus taeda, and demonstrated the remarkable gains that can be achieved, as long as prediction models are used at the relevant selection age and within the breeding zone in which they were estimated (Chapter 2). However, the application of quantitative genetics in plant and animal breeding, including the work described in Chapter 2, focused on additive models. Thus, the goal of the follow-up study (Chapter 3) was to include non-additive effects in genomic selection models, in the form of realized genomic relationships matrices. These analyses demonstrated how marker-based models yield a substantially more precise separation of additive and non-additive components of genetic variance, compared to pedigree-based matrices. This novel result improves our current understanding of the genetic control and architecture of quantitative traits, and should be considered when developing breeding strategies. Finally, the information from additive effects and dominance effects estimated through the markers was combined to define yet-to-be-made crosses (Chapter 4). The results demonstrated that the allocation of the individuals to be mated based on genomic selection models substantially increase the mean value of the trait in the progeny. From these results I concluded that genomic assisted breeding can better estimate non-additive effects and more efficiently direct mate-pair allocation. These uses, beyond the traditional additive model, will increase even further the genetic gains obtained in breeding programs.
General Note:
In the series University of Florida Digital Collections.
General Note:
Includes vita.
Bibliography:
Includes bibliographical references.
Source of Description:
Description based on online resource; title from PDF title page.
Source of Description:
This bibliographic record is available under the Creative Commons CC0 public domain dedication. The University of Florida Libraries, as creator of this bibliographic record, has waived all rights to it worldwide under copyright law, including all related and neighboring rights, to the extent allowed by law.
Statement of Responsibility:
by Marcio Fernando Resende.
Thesis:
Thesis (Ph.D.)--University of Florida, 2014.
Local:
Adviser: KIRST,MATIAS.
Local:
Co-adviser: BARBAZUK,WILLIAM BRADLEY.
Electronic Access:
RESTRICTED TO UF STUDENTS, STAFF, FACULTY, AND ON-CAMPUS USE UNTIL 2014-11-30

Record Information

Source Institution:
UFRGP
Rights Management:
Applicable rights reserved.
Classification:
lcc - LD1780 2014
System ID:
UFE0046659:00001