Whole genome selection breeding

Background


The concept of Genomic Selection (GS for short) was put forward by Professor Theo Meuwissen from Norwegian University of Life Sciences in 2001. It is a new method of selective breeding by using high-density molecular markers covering the whole genome. By building a prediction model, we can predict and select individuals in their early growing stage based on the genetic estimated breeding value (GEBV), so as to shorten the generation interval,accelerate the breeding process, and save a lot of costs. This method is particularly applicable to predicting complex traits with low heritability that are difficult to measure, so it is also called Genomic Prediction (GP).

Brief Introduction


Since Meuwissen first proposed genome selection in 2001, and Schaffer pointed out the great application value of GS in cow breeding in 2006, GS has become the most popular research field in livestock breeding. Since 2009, the breeding of dairy cattle has been almost entirely dominated by GS, and the breeding of pigs, sheep, beef cattle, chickens and other domestic animals has also successively applied GS technology. Moreover, in the field of plant breeding, such as staple crops (e.g. wheat, corn, rice), cash crops (e.g. alfalfa, chickpeas) and forest tree species, GS have also been applied. Bio Cloud can provide customers with a full set of GS solutions. You are always welcome to consult.

Characteristic


  • Provide genetic gain
  • Shorten breeding cycle
  • Guide population construction
  • Reduce field testing

Function


BioBin Whole Genome Selection (GS) System Process

Case