Breeding Programme Modelling with AlphaSimR
Breeding Programme Modelling with AlphaSimR
From the University of Edinburgh Roslin Institute.
Breeding programmes are key to the genetic improvement of plant varieties and animal breeds used in agriculture. This unique course shows how to model an existing or new breeding programme and the evaluation of alternative breeding scenarios.
This online course will equip participants with an understanding of computer modelling of breeding programmes to enhance genetic improvements in agriculture. The modelling is done through the AlphaSimR package.
The package provides a set of functions that represent breeding activities. The combination of these functions in an R script allows the modelling of simple and arbitrarily complex breeding programmes. It also allows evaluation of the effects of alternative breeding scenarios on the rate of genetic improvement and other key performance indicators.
The course is taught by experts in the field and is applicable to a range of breeding programmes as demonstrated through local and global case studies.
These videos are free, open resources originally created for the short online course Breeding Programme Modelling with AlphaSimR. If the course is not currently running, you can still work through the media resources in your own time.
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Animal Breeding Programme with AlphaSimR - Part 2
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Plant Breeding
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Animal Breeding Programme with AlphaSimR - Part 1
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Genomic selection in plant breeding
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Selection on multiple traits in AlphaSimR - Part 3
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Selection on multiple traits in AlphaSimR - Part 2
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Selection on multiple traits in AlphaSimR - Part 1
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DNA lottery in AlphaSimR Genome - Part 2
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DNA lottery in AlphaSimR Genome - Part 1
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Selection on a single trait in AlphaSimR - Part 2
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Simulating traits in AlphaSimR - Part 2
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Selection on a single trait in AlphaSimR - Part 1
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DNA lottery in AlphaSimR Traits
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Simulating traits in AlphaSimR - Part 1
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Simulating DNA in AlphaSimR 15 of 15
16:47duration 16 minutes 47 seconds
Simulating DNA in AlphaSimR
Simulating DNA in AlphaSimR
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