PPT-Genomic selection in animal breeding- A promising future for faster genetic improvement

livestock Dr Indrasen Chauhan Scientist CSWRI Avikanagar Tonk304501 B ased on individual records pedigree or progeny performance or family performance SIWT9 1DMY90 Conventional selection . livestock. Dr Indrasen Chauhan. Scientist, CSWRI, Avikanagar. Tonk-304501. – . B. ased . on individual records, pedigree or progeny performance or family performance. . SI=WT9 +1DMY90. Conventional selection . Chapter 9. W. Stephen Damron. Introduction to Animal Science:. Global, Biological, Social, and Industry Perspectives. Learning Objectives. After studying this chapter, you should be able to:. define . Youngmo. Ph.D.. Advisor of KOICA. Principle of Plant Genetics and Breeding. GENERAL CONCEPTS OF . TREE IMPROVEMENT. . ◆. . Forest Genetic. . ◆. . Forest . -----. Module . 5 – Introduction to Tree Breeding and Provenance Trials. Nicholas Wheeler & David Harry – Oregon State University. Basic principles of forest tree breeding. Three primary goals. Introduction. How genetic selection works. Gains due to genetic selection. Use of genomic technology. Future research opportunities. How does genetic selection work?. ΔG = . genetic gain each year. reliability =. with a glimpse into our future. Wikipedia: . a branch of animal science that addresses the evaluation of the genetic value of livestock. The scientific theory of animal breeding incorporates population genetics, quantitative genetics, statistics, and recently molecular genomics and is based on the pioneering work of Sewall Wright, Jay Lush, and Charles Henderson.. “Spring Valley” Holbrook NSW. NZ Beef Expo 2017. A seedstock operation focussed on genetic gain. Outline. The property & enterprises. Why are we different?. Can we change genetics?. Factors that effect genetic improvement. A “big data” project of the . Animal Genomics and Improvement Laboratory (AGIL). AGIL mission. Discover and develop improved methods for the genetic and genomic evaluation of economically important traits of dairy animals and small ruminants. A “big data” project of the . Animal Genomics and Improvement Laboratory (AGIL). AGIL mission. Discover and develop improved methods for the genetic and genomic evaluation of economically important traits of dairy animals and small ruminants. George Wiggans, CDCB Technical Advisor. Highlights of U.S. system. Over half a million animals genotyped in 2016. 67% of AI breedings to genomic bulls. Genomic relationship between genotyped cows and marketed bulls available. Kumar. Asstt. . Prof. cum Jr. Scientist. Department of Livestock Farm Complex. Bihar Veterinary College, BASU, Patna-14. Selection of Livestock. Artificial selection . It differs from natural selection in that heritable variations in a species are manipulated by humans through controlled breeding. The breeder attempts to isolate and . biology – lessons from dairy cattle breeding. Dairy Cattle. 9 million cows in US. Attempt to have a calf born every year. Replaced after 2 or 3 years of milking. Bred via AI. Bull semen collected several times/week. Diluted and frozen. Luciano Silva, Ph.D.. Luciano.silva@jmp.com. SAS Institute Inc.. Introduction. A case study in Rice. Exploring genetic diversity. G. enomic. s. election. Live demonstration. Oultine. Marker Assisted Selection (MAS). of Nile Tilapia for African Aquaculture . Agustin . Barria. , Carolina . Penaloza. , Diego Robledo, . Pam Wiener, Andrea . Doeschl. -Wilson, Trong . Quoc. Trinh, . Mahirah. . Mahmuddin. , . Mohan .