[보고서]GEBV 기반 젖소 씨수소 국가간 비교 평가 및 암소 조기 선발 현장적용 기술 개발

김종주

GEBV 기반 젖소 씨수소 국가간 비교 평가 및 암소 조기 선발 현장적용 기술 개발
GEBV based across countries dairy sire evaluation and development of field applicable technologies for juvenile cow selection 원문보기

보고서 정보
주관연구기관	영남대학교 YeungNam University
연구책임자	김종주
참여연구자	이윤미 , 조광현 , 아람자한길 , 도창희 , 김준홍 , 백형욱 , 우만디 , 박경도 , 우지연 , 당창권 , 김시동 , 최유림 , 박미나 , 최연호 , 이승수 , 최태정 , 장혁기 , 이재구 , 아람마부 , 강연희 , 류은아
보고서유형	최종보고서
발행국가	대한민국
언어	한국어
발행년월	2020-02
과제시작연도	2019
주관부처	농촌진흥청 Rural Development Administration(RDA)
등록번호	TRKO202000030273
과제고유번호	1395059866
사업명	FTA대응경쟁력향상기술개발(R&D)
DB 구축일자	2020-10-17
키워드	홀스타인 젖소.유전체 육종가.유전체 선발.참조집단.유전체 선발지수.Holstein dairy cattle.Genomic breeding value.Genome selection.Reference population.Genome selection index.

초록 ▼

본과제는 유전체정보를 이용한 젖소암소 조기선발을 위한 현장적용기술 개발 및 DB 시스템 구축을 목표로 연구를 수행하여 전장연관분석을 통한 유량&체형형질들 SNP 발굴, 저밀도 SNP contents 및 육종가, 최적교배 스마트폰엡 플랫폼 구축하였고 수익성기반 유전체 육종가 선발지수를 개발하여 농가 경제성을 최적화한 계획 교배프로그램을 개발하였으며, 친자감별기 및 유전체육종가 추정 프로그램을 개발하였고 유전체선발을 위한 참조집단 및 유전체&표현형자료 DB를 구축하였음. 향후 지속적인 참조 집단구축 및 유전체선발지수를 활용하여 효율적인

Abstract ▼

□ Purpose&Contents
GEBV based dairy sire evaluation across countries and development of field-applied technology for cow selection at early stage
-Development of cow evaluation system in dairy farms using information of effective SNP markers
-GEBV based across countries dairy sire evaluation and development of field applicable technologies for juvenile cow selection
-GEBV based dairy sire evaluation across countries and development of field-applied technology for cow selection at early stage
-GEBV based across countries dairy sire evaluation and development of field applicable technologies for juvenile cow selection

□ Results
◦ Detection of SNPs for milk productioin & body conformation traits via GWAS and SNPs for LD chips, and establishments of smart phone application to on-farm use of information on breeding values andoptimum mating.
◦ A genomic selection index based on the profitability of Korea and the optimum mating program were developed for farmers to optimize the economic feasibility.
◦ Development of parentage testing & GEBV estimation program
◦ Establishment of a reference population for genomic selection, and database system for genomic & phenotype data

□ Expected Contribution
◦ Decrease on genotyping cost using LD SNP chips and practical application of GEBV and optimum mating information using smartphone application
◦ The mating program for farmers can enable efficient improvement of cows distributed to farmers through the establishment of a system that can upload and download data in connection with the dairy cattleimprovement organizations.
◦ Provision of GEBV with high accuracy, so as to increase genetic gain in the production traits
◦ Nation-wide dairy genetic evaluation using genomic information

(출처 : SUMMARY 5p)

목차 Contents

표지 ... 1
제 출 문 ... 2
보고서 요약서 ... 3
국 문 요 약 문 ... 4
Summary ... 5
목차 ... 6
제 1 장 연구 개발 과제의 개요 ... 7
제1절 연구 개발 목적 ... 7
제2절 연구 개발의 필요성 ... 7
제3절 연구 개발 범위 ... 8
제 2 장 연구 수행 내용 및 결과 ... 8
제 3 장 목표달성도 및 관련분야 기여도 ... 105
제1절 목표대비 달성도 ... 105
제2절 정량적 성과(논문게재, 특허출원, 기타)를 기술 ... 106
제 4 장 연구 결과의 활용 계획 ... 106
제 5 장 연구 개발 결과의 보안 등급 ... 107
제 6 장 연구시설·장비종합정보시스템에 등록한 연구시설·장비 현황 ... 107
제 7 장 연구개발과제의 대표적 연구실적 ... 107
제 8 장 기타사항 ... 108
제 9 장 참고문헌 ... 108
끝페이지 ... 115

표/그림 (52)

표 젖소의 개체별 수익 자료의 생성을 위해 수집되어야 할 정보와 출처
표 Pricing system according to milk components and health grades used in the simulation of milk income
표 The milk prices per liter for the simulation of milk income of cows
표 The cost of 100 l milk production according to farm size in 2018
표 Rearing cost of a cow according to herd size in 2018
표 The revenue due to milk production of the cows which were born since 2001 and had finally dried before 2018
표 Distribution of profit of cows according to final parity
표 Genomic scan of Milk Production Profit with -log₁₀(P) analysis for association with SNP. The blue horizontal line means a significance levels
표 Name, chromosome number, size and p-value of p-value for milk production profit
표 The correlations of profit of cows with the breeding values of the traits
표 Standardized regression coefficients(SRC) breeding values on profit of cows and comparison between the present (K) and proposed (P) selection indices
표 Difference in relative weight and selection direction between KTPI and PTPI
표 Basic Statistics of KTPI and PTPI(proposed) according to final parity
표 Distributions of KTPI and PTPI
표 The averages of KTPI and PTPI (the proposed TPI) according to final parity
표 Information for 19 countries providing national genetic evaluation data for the International Bull Evaluation Service routine evaluation for direct longevity (Forabosco et al., 2008)
표 The correlations of breeding values for economic traits and longevity traits in 2012
표 Basic Statistics of profit and breeding values of interest traits for Net Merit ￦
표 Standard regression coefficients(SCR) of breeding values the traits on profit of cows according to final parity and relative values(RV) with productive life
표 Average of The proposed net merit indices according to final parity with productive life
표 Standard regression coefficients(SCR) of breeding values the traits on profit of cows according to final parity and relative values(RV) with no of lactation
표 Average of The proposed net merit indices according to final parity with no of lactation. (a: all data, a1: index with data of cows ended with the first parity, a2: index estimated with the second parity, and so on)
표 Correlations of profit with the indices of different longevity traits according to final parity
표 Parameters representing traits included in Net Merit￦
표 Average of The Net Merit￦(a) index according to final parity with NL
표 Distribution of The Net Merit ￦ index according to final parity with NL
표 The relative weight among the selection indices of the countries. (included PTPI and Net Merit￦)
표 No. of single nucleotide polymorphism (SNPs) and samples by BeadChip
표 No. of records (percentage), means and standard deviations for 305-days milk, fat and protein yields (kg) by parity
표 Number of SNPs and average distance between adjacent SNPs after quality control (QC) processes in each chromosome
표 Quality control of single nucleotide polymorphism (SNP) dataset
표 Number of SNPs, map length, number of SNP pairs, average Linkage disequilibrium (r2) and adjacent Linkage disequilibrium by autosome
표 Frequency and mean r2 estimated for SNP pairs in different distance compared with the frequency matched SNP pairs
표 Trends on the effective population size (Ne) and the decreasing rate of Holstein dairy cattle by generation (truncated at 50 generations)
표 Additive genetic (ó2a), permanent environmental (ó2pe), residual (ó2e) variance components, genetic phenotype correlations, heritabilities (h2), and repeatabilities (r) for 305-days milk, fat and protein yields (kg)
표 Basic statistics of breeding values for milk production traits by method
표 Correlations of estimated breeding value between model Ⅰand model Ⅱ for traits
표 Relationship of expected breeding values (kg) between modelⅠand modelⅡ (left:cow, right:sire)
표 Means and standard deviations (STD) for reliabilities of animals in each trait by method
표 Comparison of reliabilities between cows Without or SNP information
표 Comparison of reliabilities between sires Without or SNP information
표 Regression coefficient of birth year ( ≤ 2011) for milk production trait by model
표 Regression coefficient of calving year for milk production trait by model
표 Genetic trends on milk production traits between model Ⅰ and Ⅱ (left: birth year, right: calving year)
표 Generation intervals in Holstein dairy cattle population
표 Heritabilities, standard errors, genetic and phenotypic correlations among parity in each trait
표 Regression coefficients of integrated EBV to the GEBV for milk production traits in each group with SNP information
표 Reliablities on GEBVs (EBVs) and standard deviations of animals with SNP information for milk production traits (kg) in each group
표 Genetic gains of milk yield (kg) per year by the selection method
표 Genetic gains of fat yield (kg) per year by the selection method
표 Genetic gains of protein yield (kg) per year by the selection method
표 Relationship between breeding value (EBV) and genomic breeding value (GEBV) for milk, fat protein yields (left; milk, center; fat, right; protein) in each group (from top to bottom; overall, cows with record, sires with progeny, heifers without record and bulls without progeny)

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연합인증

GEBV 기반 젖소 씨수소 국가간 비교 평가 및 암소 조기 선발 현장적용 기술 개발
GEBV based across countries dairy sire evaluation and development of field applicable technologies for juvenile cow selection 원문보기