'Net merit' presentation slideshows

Using Genomic Data to Improve Dairy Cattle Genetic Evaluations

Using Genomic Data to Improve Dairy Cattle Genetic Evaluations. Acknowledgments. Genotyping and DNA extraction: USDA Bovine Functional Genomics Lab, U. Missouri, U. Alberta, GeneSeek, Genetics & IVF Institute, Genetic Visions, and Illumina Computing: AIPL staff (Mel Tooker, Leigh Walton)

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Genomics for Emerging Markets

Genomics for Emerging Markets. Proven Bulls or Emerging Bulls?. Genetic Terms. Predicted transmitting ability and parent average PTA required progeny or own records PA included only parent data Genomics provides more information Reliability = Corr 2 (predicted, true TA)

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Biological Insights Gained from Genomic Prediction

Biological Insights Gained from Genomic Prediction. What is whole-genome selection?. Many markers used to track inheritance of chromosomal segments Impact of each segment estimated for each trait

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Future Animal Improvement Programs Applied to Global Populations

Future Animal Improvement Programs Applied to Global Populations. Topics. Brief history of past improvement programs National and global goals Genetic x environment interaction International genomic evaluation Exchange of GEBVs or genotypes Use of new reproductive tools. Step 1:

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Future Animal Improvement Programs Applied to Global Populations

Future Animal Improvement Programs Applied to Global Populations. Topics. Brief history of past improvement programs National and global goals Genetic x environment interaction International genomic evaluation Exchange of GEBVs or genotypes Use of new reproductive tools. Step 1:

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National and International Genomic Evaluation Methods

National and International Genomic Evaluation Methods. Topics. Evaluation schedules, data, reliability International genomic evaluation Conversions for young bulls Genomic MACE for old bulls Interbull Brown Swiss genomic proposal

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Why genomics works and what is coming

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Dairy Cattle Breeders Have Adopted Genomic Selection

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Update on AIPL research since April 2009

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Update on AIPL research since April 2009

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Low-Cost, Low-Density Genotyping and its Potential Applications

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Can you believe those genomic evaluations for young bulls?

Can you believe those genomic evaluations for young bulls?. Proven Bulls or Young Bulls?. Genotyped Animals (n=6,005) In North America as of April 2008. Genotyped Animals (n=19,464) In North America as of December 2008. Genotyped Animals (n=29,313) In North America as of June 2009.

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Selection changes in the United States due to genomics

Selection changes in the United States due to genomics. Coauthors. Janice R. Wright 1 Jana L. Hutchison 1 Jay M. Mattison 2 1 Animal Scientist, Animal Genomic and Improvement Laboratory , Beltsville , Maryland

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Can you believe those genomic evaluations for young bulls?

Can you believe those genomic evaluations for young bulls?. Proven Bulls or Young Bulls?. Genotyped Animals (n=6,005) In North America as of April 2008. Genotyped Animals (n=19,464) In North America as of December 2008. Genotyped Animals (n=25,393) In North America as of April 2009.

213 views • 21 slides

Predicting Genetic Merit Using Genomic Data

Predicting Genetic Merit Using Genomic Data. How Related are Relatives?. Example: Full sibs are expected to share 50% of their DNA on average may actually share 40% to 60% of their DNA because each inherits a different mixture of chromosome segments from the two parents.

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Introduction

An updated version of lifetime net merit incorporating additional fertility traits and new economic values. Introduction. Lifetime net merit (NM$) is a selection index for commercial dairy producers

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DSEC October 2009

DSEC October 2009. Percent correctly called genotypes, linkages, and paternity by breed and group. Haplotype probability with 100 markers per chromosome. Haplotype probability with 12 markers per chromosome.

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Distribution and Location of Genetic Effects for Dairy Traits

Distribution and Location of Genetic Effects for Dairy Traits. Experimental Design. Predict April 2008 daughter deviations from August 2003 PTAs Similar to Interbull trend test 3 3576 older Holstein bulls 1759 younger bulls (total = 5335 ) ?

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DSEC October 2009

DSEC October 2009. Percent correctly called genotypes, linkages, and paternity by breed and group. Haplotype probability with 100 markers per chromosome. Haplotype probability with 12 markers per chromosome.

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Increased use of young bulls in dairy cattle breeding programs

Increased use of young bulls in dairy cattle breeding programs H. D. Norman, J. L. Hutchison,* and J. B. Cole Animal Improvement Programs Laboratory, Agricultural Research Center, USDA, Beltsville, MD 20705-2350. 2012. Abstr . W60. INTRODUCTION

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