본문 바로가기

이득환 논문수  · 이용수 98 · 피인용수 40

소속기관
한국축산학회(구 한국동물자원과학회)
소속부서
-
주요 연구분야
농수해양학 > 축산학
연구경력
-
  • 저자정보 . 논문
  • 공저자 . 저널

저자의 연구 키워드

저자의 연구 키워드
#단일염기다형
#동물육종
#돼지
#돼지육종
#랜드레이스
#번식형질
#사산두수
#생산형질
#유전모수
#유전체 관계행렬
#유전체 선발
#육종가
#임계모형
#임신기간
#정확도
#종돈
#총산자수
#Accuracy
#Accuracy of selection
#AM/PM milk yields
#Animal breeding
#Ansung-si
#Bayesian inference
#Bertalanffy
#Body condition score
#Breeding scheme
#Brody’s function
#Carcass
#Carcass trait
#Carcass traits
#Carcass)
#Categorical data
#Categorical trait
#Categorical traits
#Correction factor
#Department of Animal Life Resources
#Dept. of Animal Life and Resources
#Electrical conductivity
#Environmental effects)
#Genetic correlation
#Genetic parameter
#Genetic parameters
#Genetic parameters)Corresponding author : D. H. Lee
#Genetic variance
#Genomic and pedigree information
#Genomic breeding value
#Genomic relationship matrix
#Genomic selection
#Gestation length
#Gibbs Sampling method
#Gibbs sampling)
#Growth curve
#Hankyong National Univ. Seokjeong- dong Anseong-si Gyeonggi-do
#Hankyong National University
#Hanwoo
#Heritability
#Holstein
#Holstein cows
#Identifiability)
#Indirect selection
#Korea
#Korean beef cattle
#Korean Native Cattle)
#Kyonggi-do
#Lactation stage
#Landrace
#Liability
#Linear type trait
#Linear type traits
#Litter size
#Maternal effects
#Milk flow
#Milking intervals
#Missing trait
#Modeling
#Monte Carlo simulation
#Newton's method
#Parity
#PCG method
#Persistency)Corresponding author:D. H. Lee
#Pig
#Prediction of daily milk yields
#Productive traits
#QTL
#Random regression model
#Real-time ultrasound
#Relationship matrix
#Reliability)
#REML
#REML method
#Rep. of Korea 456-749Tel: 031-6
#Reproductive traits
#Selection response
#Seokjong- dong 67
#Single nucleotide polymorphism
#SNP
#SNP markers
#Somatic cell
#Steer
#Stillborn
#Swine breeding
#Swine nucleus herd
#Teat numbers
#Tel : 031-670-
#Test day
#Threshold
#Threshold animal model
#Threshold model
#tMGG
#Ultra sound
#Ultrasound measurement
#Variance component

저자의 논문

연도별 상세보기를 클릭하시면 연도별 이용수·피인용수 상세 현황을 확인하실 수 있습니다.
피인용수는 저자의 논문이 DBpia 내 인용된 횟수이며, 실제 인용된 횟수보다 적을 수 있습니다.