MARC details
000 -LEADER |
fixed length control field |
03395nam a22003257a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
IE-CoIT |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20210921062546.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
ta |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
180323s2017 ie ||||| |||| 00| 0|eng|| |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
IE-CoIT |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
THESES PRESS |
100 1# - MAIN ENTRY--PERSONAL NAME |
9 (RLIN) |
123984 |
Personal name |
Judge, Michelle |
Relator term |
author |
245 10 - TITLE STATEMENT |
Title |
Low cost, multi-purpose genotyping panels for dairy and beef cattle / |
Statement of responsibility, etc. |
Michelle Judge. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
Place of production, publication, distribution, manufacture |
Cork : |
Name of producer, publisher, distributor, manufacturer |
Cork Institute of Technology, |
Date of production, publication, distribution, manufacture, or copyright notice |
2017. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xi, 174 pages : |
Other physical details |
illustrations (some color) ; |
Dimensions |
30 cm |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
unmediated |
Media type code |
n |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
volume |
Carrier type code |
nc |
Source |
rdacarrier |
490 #0 - SERIES STATEMENT |
Series statement |
Ph. D - Biological Sciences |
500 ## - GENERAL NOTE |
General note |
The selection of animals based on DNA has revolutionised animal breeding, but the associated high cost of obtaining genotypes has limited its uptake. The object of this thesis was to develop a low-cost, low-density, multi-purpose genotyping panel for the procurement of reliable genotype information, and to quantify the long-term consequences of using such low-density genotype panels in breeding programs. The objectives were achieved through a combination of real-time cattle genotype data and simulations to mimic a cattle population. The in-silico development of genotype panels was based on actual genotypes from up to 58,705 beef cattle. Alternative novel strategies were used to identify informative single nucleotide polymorphisms (SNPs) with the purpose of developing a low density genotype panel which, once imputed to higher density, could be used in genomic evaluations. A minimum of 3,000 carefully selected SNPs were required if selected for use in a single breed, but this recommendation increased to 6,000 SNPs if the panel was to be applicable for imputation across breeds. Analysis using simulations suggest that successive imputation across generations, using approaches currently adopted globally, was suboptjmal with an accumulation of errors over generations ; an approach based on stepwise generational imputation was recommended to reduce the erosion in accuracy of imputed genotypes over generations. Results also indicated that a minimum of 300 SNPs were required to accurately predict breed composition with a mean standard error of prediction of 0.036. The advent of genomic evaluations has reduced generation intervals intensifying the importance of screening for DNA variants contributing to congenital defects. Using high density genotype data from 45 phenotypically normal calves and 23 half-sib contemporaries with a missing cleft pallet phenotype, a region on chromosome 13 was identified to harbour the underlying mutation. Analysis of sequence data from a selection of these animals identified putative causal mutations. In conclusion, appropriately designed genotype panels, coupled with optimised imputations strategies, can facilitate the widespread adoption of low-cost accurate genome-based breed programs - (Abstract) |
500 ## - GENERAL NOTE |
General note |
This Ph.D is a joint research project between Teagasc Moorepark and Cork Institute of Technology. |
502 ## - DISSERTATION NOTE |
Dissertation note |
Thesis |
Degree type |
|
Name of granting institution |
Cork Institute of Technology, |
Year degree granted |
2017. |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Bibliography: (pages 153-166) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
9 (RLIN) |
122069 |
Topical term or geographic name entry element |
Breeding |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
9 (RLIN) |
46042 |
Topical term or geographic name entry element |
DNA microarrays |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
9 (RLIN) |
122068 |
Topical term or geographic name entry element |
Animal genetics |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
9 (RLIN) |
34544 |
Topical term or geographic name entry element |
Beef cattle |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Dairy cattle |
9 (RLIN) |
115201 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |