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2013 Cornell's Plant Breeding and Genetic Seminar Series
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Marker assisted selection is the breeding strategy in which selection for a gene is based on molecular markers closely linked to the gene of interest rather than the gene itself, and the markers are used to monitor the incorporation of the desirable allele from the donor source. Selection of a genotype carrying desirable gene via linked marker (s) is called Marker Assisted Selection. MAS can be applied to possible to use this kind of information. The prerequisites for the classical procedure of MAS are the tight linkage between molecular marker and gene of interest and high heritability of the gene of interest. It is noteworthy that the “quality” and the number of markers have a major impact on the success of MAS. The quality of markers relates to their characteristics and to the cost and the efficiency of the genotyping process. The number of markers affects the reliability of the linkage between them and the gene(s). In other words, screening a large number of markers has the potential to identify close and reliable linkage between the marker and the gene of interest. MAS has greater potential for efficient gene pyramiding combining several important genes in one cultivar. MAS is gaining considerable importance as it can improve the efficiency of plant breeding through precise transfer of genomic regions of interest and acceleration of the recovery of the recurrent parent genome. Marker-assisted selection is gaining considerable importance as it would improve the efficiency of plant breeding through precise transfer of genomic regions of interest (foreground selection) and accelerating the recovery of the recurrent parent genome (background selection). The use of MAS in crop improvement will not only reduce the cost of developing new varieties but will also increase the precision and efficiency of selection in the breeding program as well as lessen the number of years required to come up with a new crop variety.
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Research Program Genetic Gains (RPGG) Review Meeting 2021: Groundnut genomic ...
ICRISAT
The genetic improvement of livestock has been a hot topic for almost a century, bringing together researchers, industry, and producers to work towards a common goal. Many countries currently employ extensive genetic selection programs in their cattle with pigs, sheep, and chicken close behind. In this webcast, Heather J. Huson, Ph.D. from Cornell University will focus on population dynamics and trait association in cattle and goats using high density SNP datasets. Population structure plays a critical role in understanding the relatedness among livestock, ancestral origins of traits, and identification of unique sub-populations or breeds for production improvement and conservation. This also lays the foundation for understanding and improving species such as the goat which is a vital food source in developing countries but has little recorded production or health data. Understanding population structure is essential for designing complex trait association studies such as those related to production and health characteristics. Here, Huson shows examples of her lab's investigation into population structure in both goats and cattle to identify distinct groups and study traits such as thermo-tolerance.
Population Structure & Genetic Improvement in Livestock
Population Structure & Genetic Improvement in Livestock
Golden Helix Inc
GIAB Benchmarks for SVs and Repeats for stanford genetics sv 200511
GIAB Benchmarks for SVs and Repeats for stanford genetics sv 200511
GIAB Benchmarks for SVs and Repeats for stanford genetics sv 200511
GenomeInABottle
Seminar - Roland Schafleitner - July 23, 2010
Drought tolerance genes and traits/Gene Index and markers
Drought tolerance genes and traits/Gene Index and markers
International Potato Center
SANGER SEQUENCING - 1st generation sequencing Sanger Sequencing Workflow: PCR amplification (target enrichment) PCR purification (primer, dNTPs) Sequencing reaction (bi-directional) Sequencing purification (primer, dNTPs, ddNTPs) Electrophoretic run on sequencer Sequencing lecture Alignment to reference SANGER SEQUENCING: LIMITATIONS Analytical sensitivity*: 99% PCR-Based no detection deletion/duplication rearrangements del/dup BRCA = 4-28% of all BRCA mutations in most population** Level of mosaicism > 20% Low throughput (82496 capillary tubes) Labor intensive Time consuming High cost (large size gene or more genes)
20160219 - S. De Toffol - Dal Sanger al NGS nello studio delle mutazioni BRCA