Sequencing millions of animals for genomic selection 2.0

Sequencing millions of animals for genomic selection 2.0.

Genomic selection (GS) has made animal breeding an extremely exciting field to have been part of in recent years. Breeding programmes have been redesigned, new genotyping technology, imputation algorithms and statistical methods developed, operational and logistical constraints addressed, and greater understanding obtained about the underlying information that drives the accuracy, the requireme...

the test for adverse selection in life insurance market: the case of mellat insurance company

انتخاب نامساعد یکی از مشکلات اساسی در صنعت بیمه است. که ابتدا در سال 1960، توسط روتشیلد واستیگلیتز مورد بحث ومطالعه قرار گرفت ازآن موقع تاکنون بسیاری از پژوهشگران مدل های مختلفی را برای تجزیه و تحلیل تقاضا برای صنعت بیمه عمر که تماما ناشی از عدم قطعیت در این صنعت میباشد انجام داده اند .وهدف از آن پیدا کردن شرایطی است که تحت آن شرایط انتخاب یا کنار گذاشتن یک بیمه گزار به نفع و یا زیان شرکت بیمه ...

Genomic Selection in Wheat Breeding using Genotyping-by-Sequencing

Genomic Sequencing

The Illumina Sequencing reliably generates tens of billions of bases of data per week. The flexible workflow supports any organism and a wide array of application areas. Simple sample preparation methods and robust chemistry support single reads or paired reads with a range of separation distances from 200 bp to 5 kb. Empowered by these capabilities, even the smallest labs are able to greatly e...

Pre-selection of markers for genomic selection

BACKGROUND Accurate prediction of genomic breeding values (GEBVs) requires numerous markers. However, predictive accuracy can be enhanced by excluding markers with no effects or with inconsistent effects among crosses that can adversely affect the prediction of GEBVs. METHODS We present three different approaches for pre-selecting markers prior to predicting GEBVs using four different BLUP me...