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Cross-Validation in Genomic Predictions with Single-Step GBLUP for Complex Models and Datasets
Cross-Validation in Genomic Predictions with Single-Step GBLUP for Complex Models and Data...
Cross-Validation in Genomic Predictions with Single-Step GBLUP for Complex Models and Datasets

Detailed Information

자료유형  
 학위논문파일 국외
ISBN  
9798544226987
DDC  
636
저자명  
Bermann, Matias.
서명/저자  
Cross-Validation in Genomic Predictions with Single-Step GBLUP for Complex Models and Datasets
발행사항  
[Sl] : University of Georgia, 2021
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2021
형태사항  
89 p
주기사항  
Source: Dissertations Abstracts International, Volume: 83-03, Section: B.
주기사항  
Advisor: Misztal, Ignacy I.
학위논문주기  
Thesis (Ph.D.)--University of Georgia, 2021.
사용제한주기  
This item must not be sold to any third party vendors.
일반주제명  
Animal sciences
일반주제명  
Population
일반주제명  
Breeding of animals
일반주제명  
Accuracy
일반주제명  
Livestock
일반주제명  
Datasets
일반주제명  
Regression analysis
일반주제명  
Random variables
일반주제명  
Quantitative genetics
일반주제명  
Mortality
일반주제명  
Generalized linear models
일반주제명  
Zoology
일반주제명  
Genomes
일반주제명  
Methods
일반주제명  
Genotype & phenotype
일반주제명  
Expected values
일반주제명  
Cattle
일반주제명  
Bias
키워드  
Cross-validation
키워드  
Genomic predictions
키워드  
LR method
키워드  
Single step GBLUP
기타저자  
University of Georgia Animal and Dairy Science - PHD
기본자료저록  
Dissertations Abstracts International. 83-03B.
기본자료저록  
Dissertation Abstract International
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

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■020    ▼a9798544226987
■035    ▼a(MiAaPQ)AAI28544678
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a636
■1001  ▼aBermann,  Matias.▼0(orcid)0000-0002-5374-0710
■24510▼aCross-Validation  in  Genomic  Predictions  with  Single-Step  GBLUP  for  Complex  Models  and  Datasets
■260    ▼a[Sl]▼bUniversity  of  Georgia▼c2021
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2021
■300    ▼a89  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  83-03,  Section:  B.
■500    ▼aAdvisor:  Misztal,  Ignacy  I.
■5021  ▼aThesis  (Ph.D.)--University  of  Georgia,  2021.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■590    ▼aSchool  code:  0077.
■650  4▼aAnimal  sciences
■650  4▼aPopulation
■650  4▼aBreeding  of  animals
■650  4▼aAccuracy
■650  4▼aLivestock
■650  4▼aDatasets
■650  4▼aRegression  analysis
■650  4▼aRandom  variables
■650  4▼aQuantitative  genetics
■650  4▼aMortality
■650  4▼aGeneralized  linear  models
■650  4▼aZoology
■650  4▼aGenomes
■650  4▼aMethods
■650  4▼aGenotype  &  phenotype
■650  4▼aExpected  values
■650  4▼aCattle
■650  4▼aBias
■653    ▼aCross-validation
■653    ▼aGenomic  predictions
■653    ▼aLR  method
■653    ▼aSingle  step  GBLUP
■690    ▼a0475
■690    ▼a0472
■71020▼aUniversity  of  Georgia▼bAnimal  and  Dairy  Science  -  PHD.
■7730  ▼tDissertations  Abstracts  International▼g83-03B.
■773    ▼tDissertation  Abstract  International
■790    ▼a0077
■791    ▼aPh.D.
■792    ▼a2021
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16052582▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202202▼f2022

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