�ݺ�ߣshows by User: jbcole

�ݺ�ߣshows by User: jbcole / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: jbcole / Tue, 21 Apr 2015 08:13:40 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: jbcole Crv 2015 jbc /slideshow/crv-2015-jbc/47239936 crv2015jbc-150421081340-conversion-gate02
The national genetic evaluation program for dairy cattle in the United States is described. Topics include an historical overview of traits and statistical methodology, the structure of the contemporary dairy genetics industry, and the implementation of genomic selection.]]>
The national genetic evaluation program for dairy cattle in the United States is described. Topics include an historical overview of traits and statistical methodology, the structure of the contemporary dairy genetics industry, and the implementation of genomic selection.]]> Tue, 21 Apr 2015 08:13:40 GMT /slideshow/crv-2015-jbc/47239936 jbcole@slideshare.net(jbcole) Crv 2015 jbc jbcole The national genetic evaluation program for dairy cattle in the United States is described. Topics include an historical overview of traits and statistical methodology, the structure of the contemporary dairy genetics industry, and the implementation of genomic selection. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/crv2015jbc-150421081340-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds" /> The national genetic evaluation program for dairy cattle in the United States is described. Topics include an historical overview of traits and statistical methodology, the structure of the contemporary dairy genetics industry, and the implementation of genomic selection.

Crv 2015 jbc from John B. Cole, Ph.D.

]]> 669 2 https://cdn.slidesharecdn.com/ss_thumbnails/crv2015jbc-150421081340-conversion-gate02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

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0 Using genotypes to construct phenotypes for dairy cattle breeding programs and beyond /slideshow/opti-mir-2015jbc/47239737 optimir2015jbc-150421080823-conversion-gate01
Modern dairying uses sophisticated data collection systems to maximize farm profitability. This has traditionally included information on cows and their environments, and now commonly includes genotype information from high-density single nucleotide polymorphism (SNP) panels. The US national database alone contains genotypes for 924,543 bulls and cows as of March 23, 2015, and many other countries are also genotyping animals. As the data continue to grow, the prospect of using genotypes to construct phenotypes directly, instead of measuring phenotypes on animals, becomes more attractive. There are many applications for this genomic information other than the prediction of breeding values. A notable recent application is the use of haplotypes in combination with next-generation sequencing data to identify causal variants associated with recessives. The methodology for identifying recessive haplotypes by searching for a deficit of homozygotes was first used in combination with sequence data to identify the causal variant (APAF1) associated with the HH1 haplotype. The US currently tracks 24 recessive haplotypes in four cattle breeds, and thanks to the work of several teams around the world the causal variants for 17 of them are known. The haplotypes include lethal recessive conditions, such as brachyspina, as well as hair coat color and polledness. There is growing interest in the latter to improve animal welfare and increase economic efficiency, but the polled haplotype has a very low frequency (0.41%, 0.93%, and 2.22% in Brown Swiss, Holstein, and Jersey, respectively). Increasing haplotype frequency by index selection requires known status for all animals. Gene content (GC) for non-genotyped animals was computed using records from genotyped relatives. Prediction accuracy was checked by comparing polled status from recessive codes and animal names to GC for 1,615 non-genotyped Jerseys with known status. 97% (n = 675) of horned animals were correctly assigned GC near 0, and 3% (n = 19) were assigned GC near 1. Heterozygous polled animals had GC near 0 (52%, n = 474) and near 1 (47%; n = 433), although 3 animals were assigned a GC near 2. All homozygous polled animals (n = 11) were assigned GC near 2. Genotype information can also be combined with other data, such as milk spectral data, to predict phenotypes for traits that are expensive or difficult to measure directly. These data can be used for precision farm management, including early culling decisions, monitoring of animals at risk for health problems, and identification of efficient and inefficient cows. The most substantial challenge faced by many dairy managers will be the effective use of the new phenotypes that now are available.]]>
Modern dairying uses sophisticated data collection systems to maximize farm profitability. This has traditionally included information on cows and their environments, and now commonly includes genotype information from high-density single nucleotide polymorphism (SNP) panels. The US national database alone contains genotypes for 924,543 bulls and cows as of March 23, 2015, and many other countries are also genotyping animals. As the data continue to grow, the prospect of using genotypes to construct phenotypes directly, instead of measuring phenotypes on animals, becomes more attractive. There are many applications for this genomic information other than the prediction of breeding values. A notable recent application is the use of haplotypes in combination with next-generation sequencing data to identify causal variants associated with recessives. The methodology for identifying recessive haplotypes by searching for a deficit of homozygotes was first used in combination with sequence data to identify the causal variant (APAF1) associated with the HH1 haplotype. The US currently tracks 24 recessive haplotypes in four cattle breeds, and thanks to the work of several teams around the world the causal variants for 17 of them are known. The haplotypes include lethal recessive conditions, such as brachyspina, as well as hair coat color and polledness. There is growing interest in the latter to improve animal welfare and increase economic efficiency, but the polled haplotype has a very low frequency (0.41%, 0.93%, and 2.22% in Brown Swiss, Holstein, and Jersey, respectively). Increasing haplotype frequency by index selection requires known status for all animals. Gene content (GC) for non-genotyped animals was computed using records from genotyped relatives. Prediction accuracy was checked by comparing polled status from recessive codes and animal names to GC for 1,615 non-genotyped Jerseys with known status. 97% (n = 675) of horned animals were correctly assigned GC near 0, and 3% (n = 19) were assigned GC near 1. Heterozygous polled animals had GC near 0 (52%, n = 474) and near 1 (47%; n = 433), although 3 animals were assigned a GC near 2. All homozygous polled animals (n = 11) were assigned GC near 2. Genotype information can also be combined with other data, such as milk spectral data, to predict phenotypes for traits that are expensive or difficult to measure directly. These data can be used for precision farm management, including early culling decisions, monitoring of animals at risk for health problems, and identification of efficient and inefficient cows. The most substantial challenge faced by many dairy managers will be the effective use of the new phenotypes that now are available.]]> Tue, 21 Apr 2015 08:08:23 GMT /slideshow/opti-mir-2015jbc/47239737 jbcole@slideshare.net(jbcole) Using genotypes to construct phenotypes for dairy cattle breeding programs and beyond jbcole Modern dairying uses sophisticated data collection systems to maximize farm profitability. This has traditionally included information on cows and their environments, and now commonly includes genotype information from high-density single nucleotide polymorphism (SNP) panels. The US national database alone contains genotypes for 924,543 bulls and cows as of March 23, 2015, and many other countries are also genotyping animals. As the data continue to grow, the prospect of using genotypes to construct phenotypes directly, instead of measuring phenotypes on animals, becomes more attractive. There are many applications for this genomic information other than the prediction of breeding values. A notable recent application is the use of haplotypes in combination with next-generation sequencing data to identify causal variants associated with recessives. The methodology for identifying recessive haplotypes by searching for a deficit of homozygotes was first used in combination with sequence data to identify the causal variant (APAF1) associated with the HH1 haplotype. The US currently tracks 24 recessive haplotypes in four cattle breeds, and thanks to the work of several teams around the world the causal variants for 17 of them are known. The haplotypes include lethal recessive conditions, such as brachyspina, as well as hair coat color and polledness. There is growing interest in the latter to improve animal welfare and increase economic efficiency, but the polled haplotype has a very low frequency (0.41%, 0.93%, and 2.22% in Brown Swiss, Holstein, and Jersey, respectively). Increasing haplotype frequency by index selection requires known status for all animals. Gene content (GC) for non-genotyped animals was computed using records from genotyped relatives. Prediction accuracy was checked by comparing polled status from recessive codes and animal names to GC for 1,615 non-genotyped Jerseys with known status. 97% (n = 675) of horned animals were correctly assigned GC near 0, and 3% (n = 19) were assigned GC near 1. Heterozygous polled animals had GC near 0 (52%, n = 474) and near 1 (47%; n = 433), although 3 animals were assigned a GC near 2. All homozygous polled animals (n = 11) were assigned GC near 2. Genotype information can also be combined with other data, such as milk spectral data, to predict phenotypes for traits that are expensive or difficult to measure directly. These data can be used for precision farm management, including early culling decisions, monitoring of animals at risk for health problems, and identification of efficient and inefficient cows. The most substantial challenge faced by many dairy managers will be the effective use of the new phenotypes that now are available. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/optimir2015jbc-150421080823-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Modern dairying uses sophisticated data collection systems to maximize farm profitability. This has traditionally included information on cows and their environments, and now commonly includes genotype information from high-density single nucleotide polymorphism (SNP) panels. The US national database alone contains genotypes for 924,543 bulls and cows as of March 23, 2015, and many other countries are also genotyping animals. As the data continue to grow, the prospect of using genotypes to construct phenotypes directly, instead of measuring phenotypes on animals, becomes more attractive. There are many applications for this genomic information other than the prediction of breeding values. A notable recent application is the use of haplotypes in combination with next-generation sequencing data to identify causal variants associated with recessives. The methodology for identifying recessive haplotypes by searching for a deficit of homozygotes was first used in combination with sequence data to identify the causal variant (APAF1) associated with the HH1 haplotype. The US currently tracks 24 recessive haplotypes in four cattle breeds, and thanks to the work of several teams around the world the causal variants for 17 of them are known. The haplotypes include lethal recessive conditions, such as brachyspina, as well as hair coat color and polledness. There is growing interest in the latter to improve animal welfare and increase economic efficiency, but the polled haplotype has a very low frequency (0.41%, 0.93%, and 2.22% in Brown Swiss, Holstein, and Jersey, respectively). Increasing haplotype frequency by index selection requires known status for all animals. Gene content (GC) for non-genotyped animals was computed using records from genotyped relatives. Prediction accuracy was checked by comparing polled status from recessive codes and animal names to GC for 1,615 non-genotyped Jerseys with known status. 97% (n = 675) of horned animals were correctly assigned GC near 0, and 3% (n = 19) were assigned GC near 1. Heterozygous polled animals had GC near 0 (52%, n = 474) and near 1 (47%; n = 433), although 3 animals were assigned a GC near 2. All homozygous polled animals (n = 11) were assigned GC near 2. Genotype information can also be combined with other data, such as milk spectral data, to predict phenotypes for traits that are expensive or difficult to measure directly. These data can be used for precision farm management, including early culling decisions, monitoring of animals at risk for health problems, and identification of efficient and inefficient cows. The most substantial challenge faced by many dairy managers will be the effective use of the new phenotypes that now are available.

Using genotypes to construct phenotypes for dairy cattle breeding programs and beyond from John B. Cole, Ph.D.

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0 2015 AGIL Update /jbcole/2015-agil-update nationaldhiaagilreport2015jbc-150319081231-conversion-gate01
This presentation describes recent changes to the national genetic evaluation system, as well as new research undertaken by AGIL scientists. Topics covered include the 2014 genetic base change, updates to the lifetime net merit selection index, and introduction of the grazing merit index, and the redefinition of daughter pregnancy rate. New research on the use of gene content to predict polled status, and statistical models for accommodating genotype-by-environment interactions also are described.]]>
This presentation describes recent changes to the national genetic evaluation system, as well as new research undertaken by AGIL scientists. Topics covered include the 2014 genetic base change, updates to the lifetime net merit selection index, and introduction of the grazing merit index, and the redefinition of daughter pregnancy rate. New research on the use of gene content to predict polled status, and statistical models for accommodating genotype-by-environment interactions also are described.]]> Thu, 19 Mar 2015 08:12:31 GMT /jbcole/2015-agil-update jbcole@slideshare.net(jbcole) 2015 AGIL Update jbcole This presentation describes recent changes to the national genetic evaluation system, as well as new research undertaken by AGIL scientists. Topics covered include the 2014 genetic base change, updates to the lifetime net merit selection index, and introduction of the grazing merit index, and the redefinition of daughter pregnancy rate. New research on the use of gene content to predict polled status, and statistical models for accommodating genotype-by-environment interactions also are described. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nationaldhiaagilreport2015jbc-150319081231-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation describes recent changes to the national genetic evaluation system, as well as new research undertaken by AGIL scientists. Topics covered include the 2014 genetic base change, updates to the lifetime net merit selection index, and introduction of the grazing merit index, and the redefinition of daughter pregnancy rate. New research on the use of gene content to predict polled status, and statistical models for accommodating genotype-by-environment interactions also are described.

2015 AGIL Update from John B. Cole, Ph.D.

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0 If we would see further than others: research & technology today and tomorrow /slideshow/national-dhia-2015jbc/46035151 nationaldhia2015jbc-150319080433-conversion-gate01
The dairy industry has historically been an early adopter of technology. Rapid advances in computing and wireless systems have enabled a new era of data-intensive farming. This presentation reviews current and emerging technologies, and places them in context with the modern dairy enterprise. Research opportunities provided by the growth of this new technology are described, and the future of genomics in dairy research is discussed.]]>
The dairy industry has historically been an early adopter of technology. Rapid advances in computing and wireless systems have enabled a new era of data-intensive farming. This presentation reviews current and emerging technologies, and places them in context with the modern dairy enterprise. Research opportunities provided by the growth of this new technology are described, and the future of genomics in dairy research is discussed.]]> Thu, 19 Mar 2015 08:04:33 GMT /slideshow/national-dhia-2015jbc/46035151 jbcole@slideshare.net(jbcole) If we would see further than others: research & technology today and tomorrow jbcole The dairy industry has historically been an early adopter of technology. Rapid advances in computing and wireless systems have enabled a new era of data-intensive farming. This presentation reviews current and emerging technologies, and places them in context with the modern dairy enterprise. Research opportunities provided by the growth of this new technology are described, and the future of genomics in dairy research is discussed. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nationaldhia2015jbc-150319080433-conversion-gate01-thumbnail.jpg?width=120&height=120&fit=bounds" /> The dairy industry has historically been an early adopter of technology. Rapid advances in computing and wireless systems have enabled a new era of data-intensive farming. This presentation reviews current and emerging technologies, and places them in context with the modern dairy enterprise. Research opportunities provided by the growth of this new technology are described, and the future of genomics in dairy research is discussed.

If we would see further than others: research & technology today and tomorrow from John B. Cole, Ph.D.

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0 Using genotyping and whole-genome sequencing to identify causal variants associated with complex phenotypes /slideshow/using-genotyping-and-wholegenome-sequencing-to-identify-causal-variants-associated-with-complex-phenotypes/39191384 ufv2014colev2-140917074120-phpapp01
Talk on identification of causal variants given to graduate students at the Universidade Federal de Viçosa in Viçosa, MG, Brasil, on September 9, 2014. It discusses work in my lab to identify causal variants associated with simple and complex modes of inheritance using SNP genotyping and next generation sequencing.]]>
Talk on identification of causal variants given to graduate students at the Universidade Federal de Viçosa in Viçosa, MG, Brasil, on September 9, 2014. It discusses work in my lab to identify causal variants associated with simple and complex modes of inheritance using SNP genotyping and next generation sequencing.]]> Wed, 17 Sep 2014 07:41:20 GMT /slideshow/using-genotyping-and-wholegenome-sequencing-to-identify-causal-variants-associated-with-complex-phenotypes/39191384 jbcole@slideshare.net(jbcole) Using genotyping and whole-genome sequencing to identify causal variants associated with complex phenotypes jbcole Talk on identification of causal variants given to graduate students at the Universidade Federal de Viçosa in Viçosa, MG, Brasil, on September 9, 2014. It discusses work in my lab to identify causal variants associated with simple and complex modes of inheritance using SNP genotyping and next generation sequencing. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ufv2014colev2-140917074120-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Talk on identification of causal variants given to graduate students at the Universidade Federal de Viçosa in Viçosa, MG, Brasil, on September 9, 2014. It discusses work in my lab to identify causal variants associated with simple and complex modes of inheritance using SNP genotyping and next generation sequencing.

Using genotyping and whole-genome sequencing to identify causal variants associated with complex phenotypes from John B. Cole, Ph.D.

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0 Genetic improvement programs for US dairy cattle /slideshow/genetic-improvement-programs-for-us-dairy-cattle/39191244 embrapa2014colev2-140917073834-phpapp01
Talk on the genetic and genomic evaluation system for US dairy cattle made to scientists at Embrapa Gado de Leite in Juiz de Fora, MG, Brasil, on September 10, 2014.]]>
Talk on the genetic and genomic evaluation system for US dairy cattle made to scientists at Embrapa Gado de Leite in Juiz de Fora, MG, Brasil, on September 10, 2014.]]> Wed, 17 Sep 2014 07:38:34 GMT /slideshow/genetic-improvement-programs-for-us-dairy-cattle/39191244 jbcole@slideshare.net(jbcole) Genetic improvement programs for US dairy cattle jbcole Talk on the genetic and genomic evaluation system for US dairy cattle made to scientists at Embrapa Gado de Leite in Juiz de Fora, MG, Brasil, on September 10, 2014. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/embrapa2014colev2-140917073834-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Talk on the genetic and genomic evaluation system for US dairy cattle made to scientists at Embrapa Gado de Leite in Juiz de Fora, MG, Brasil, on September 10, 2014.

Genetic improvement programs for US dairy cattle from John B. Cole, Ph.D.

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0 The hunt for a functional mutation affecting conformation and calving traits on chromosome 18 in Holstein cattle /slideshow/wc102014jbcppt/38334307 wc102014jbc-140825113653-phpapp02
Presentation from the 10th WCGALP meeting in Vancouver describing our research to identify the causal variant associated with calving and conformation (body shape and size) traits in Holstein cattle.]]>
Presentation from the 10th WCGALP meeting in Vancouver describing our research to identify the causal variant associated with calving and conformation (body shape and size) traits in Holstein cattle.]]> Mon, 25 Aug 2014 11:36:53 GMT /slideshow/wc102014jbcppt/38334307 jbcole@slideshare.net(jbcole) The hunt for a functional mutation affecting conformation and calving traits on chromosome 18 in Holstein cattle jbcole Presentation from the 10th WCGALP meeting in Vancouver describing our research to identify the causal variant associated with calving and conformation (body shape and size) traits in Holstein cattle. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wc102014jbc-140825113653-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation from the 10th WCGALP meeting in Vancouver describing our research to identify the causal variant associated with calving and conformation (body shape and size) traits in Holstein cattle.

The hunt for a functional mutation affecting conformation and calving traits on chromosome 18 in Holstein cattle from John B. Cole, Ph.D.

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0 An updated version of lifetime net merit incorporating additional fertility traits and new economic values /slideshow/cdcb-2014-jbc/37759701 cdcb2014jbc-140807070936-phpapp01
Presentation on proposed Net Merit 2014 made at the Council on Dairy Cattle Breeding's Open Industry Meeting in Maryland on August 5, 2014.]]>
Presentation on proposed Net Merit 2014 made at the Council on Dairy Cattle Breeding's Open Industry Meeting in Maryland on August 5, 2014.]]> Thu, 07 Aug 2014 07:09:36 GMT /slideshow/cdcb-2014-jbc/37759701 jbcole@slideshare.net(jbcole) An updated version of lifetime net merit incorporating additional fertility traits and new economic values jbcole Presentation on proposed Net Merit 2014 made at the Council on Dairy Cattle Breeding's Open Industry Meeting in Maryland on August 5, 2014. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cdcb2014jbc-140807070936-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation on proposed Net Merit 2014 made at the Council on Dairy Cattle Breeding's Open Industry Meeting in Maryland on August 5, 2014.

An updated version of lifetime net merit incorporating additional fertility traits and new economic values from John B. Cole, Ph.D.

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0 An updated version of lifetime net merit incorporating additional fertility traits and new economic values /slideshow/adsa-2014-jbc-37089695/37089695 adsa2014jbc-140717091945-phpapp01
The slides for my upcoming talk on the 2014 revision of the lifetime net merit selection index to be presented at the 2014 ASAS-ADSA-CSAS Joint Annual Meeting in Kansas City, MO.]]>
The slides for my upcoming talk on the 2014 revision of the lifetime net merit selection index to be presented at the 2014 ASAS-ADSA-CSAS Joint Annual Meeting in Kansas City, MO.]]> Thu, 17 Jul 2014 09:19:45 GMT /slideshow/adsa-2014-jbc-37089695/37089695 jbcole@slideshare.net(jbcole) An updated version of lifetime net merit incorporating additional fertility traits and new economic values jbcole The slides for my upcoming talk on the 2014 revision of the lifetime net merit selection index to be presented at the 2014 ASAS-ADSA-CSAS Joint Annual Meeting in Kansas City, MO. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/adsa2014jbc-140717091945-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> The slides for my upcoming talk on the 2014 revision of the lifetime net merit selection index to be presented at the 2014 ASAS-ADSA-CSAS Joint Annual Meeting in Kansas City, MO.

An updated version of lifetime net merit incorporating additional fertility traits and new economic values from John B. Cole, Ph.D.

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0 Genetic Evaluation of Stillbirth in US Holsteins Using a Sire-maternal Grandsire Threshold Model /slideshow/genetic-evaluation-of-stillbirth-in-us-holsteins-using-a-sirematernal-grandsire-threshold-model/34855311 wc806jbc-140519090745-phpapp01
My talk on the implementation of a national genetic evaluation for stillbirth at the 8th World Congress on Genetics Applied to Livestock Production in Belo Horizonte, Brazil.]]>
My talk on the implementation of a national genetic evaluation for stillbirth at the 8th World Congress on Genetics Applied to Livestock Production in Belo Horizonte, Brazil.]]> Mon, 19 May 2014 09:07:45 GMT /slideshow/genetic-evaluation-of-stillbirth-in-us-holsteins-using-a-sirematernal-grandsire-threshold-model/34855311 jbcole@slideshare.net(jbcole) Genetic Evaluation of Stillbirth in US Holsteins Using a Sire-maternal Grandsire Threshold Model jbcole My talk on the implementation of a national genetic evaluation for stillbirth at the 8th World Congress on Genetics Applied to Livestock Production in Belo Horizonte, Brazil. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wc806jbc-140519090745-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> My talk on the implementation of a national genetic evaluation for stillbirth at the 8th World Congress on Genetics Applied to Livestock Production in Belo Horizonte, Brazil.

Genetic Evaluation of Stillbirth in US Holsteins Using a Sire-maternal Grandsire Threshold Model from John B. Cole, Ph.D.

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0 Stillbirth, Longevity and Fertility Update /slideshow/stillbirth-longevity-and-fertility-update/34854912 naab05jbc-140519085805-phpapp02
Report to the National Association Breeders Dairy Sire Evaluation Committee on research on stillbirth and related fitness traits.]]>
Report to the National Association Breeders Dairy Sire Evaluation Committee on research on stillbirth and related fitness traits.]]> Mon, 19 May 2014 08:58:05 GMT /slideshow/stillbirth-longevity-and-fertility-update/34854912 jbcole@slideshare.net(jbcole) Stillbirth, Longevity and Fertility Update jbcole Report to the National Association Breeders Dairy Sire Evaluation Committee on research on stillbirth and related fitness traits. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/naab05jbc-140519085805-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Report to the National Association Breeders Dairy Sire Evaluation Committee on research on stillbirth and related fitness traits.

Stillbirth, Longevity and Fertility Update from John B. Cole, Ph.D.

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0 New tools for genomic selection in dairy cattle /slideshow/new-tools-for-genomic-selection-in-dairy-cattle/34854844 purdue2013jbc-140519085627-phpapp02
Seminar presented to the Department of Animal Sciences at Purdue University.]]>
Seminar presented to the Department of Animal Sciences at Purdue University.]]> Mon, 19 May 2014 08:56:27 GMT /slideshow/new-tools-for-genomic-selection-in-dairy-cattle/34854844 jbcole@slideshare.net(jbcole) New tools for genomic selection in dairy cattle jbcole Seminar presented to the Department of Animal Sciences at Purdue University. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/purdue2013jbc-140519085627-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Seminar presented to the Department of Animal Sciences at Purdue University.

New tools for genomic selection in dairy cattle from John B. Cole, Ph.D.

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0 Opportunities for genetic improvement of health and fitness traits /slideshow/opportunities-for-genetic-improvement-of-health-and-fitness-traits/34854798 nationaldhia2013jbc-140519085459-phpapp02
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]]> Mon, 19 May 2014 08:54:59 GMT /slideshow/opportunities-for-genetic-improvement-of-health-and-fitness-traits/34854798 jbcole@slideshare.net(jbcole) Opportunities for genetic improvement of health and fitness traits jbcole <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nationaldhia2013jbc-140519085459-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

Opportunities for genetic improvement of health and fitness traits from John B. Cole, Ph.D.

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0 Genomic selection and systems biology – lessons from dairy cattle breeding /slideshow/genomic-selection-and-systems-biology-lessons-from-dairy-cattle-breeding/34854726 keygene2013jbc-140519085302-phpapp02
Presentation made to the staff of Keygene, NV, in Wageningen, The Netherlands. (I don't know what the problem is with the template here. It looks fine if you use a dark background.)]]>
Presentation made to the staff of Keygene, NV, in Wageningen, The Netherlands. (I don't know what the problem is with the template here. It looks fine if you use a dark background.)]]> Mon, 19 May 2014 08:53:02 GMT /slideshow/genomic-selection-and-systems-biology-lessons-from-dairy-cattle-breeding/34854726 jbcole@slideshare.net(jbcole) Genomic selection and systems biology – lessons from dairy cattle breeding jbcole Presentation made to the staff of Keygene, NV, in Wageningen, The Netherlands. (I don't know what the problem is with the template here. It looks fine if you use a dark background.) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/keygene2013jbc-140519085302-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation made to the staff of Keygene, NV, in Wageningen, The Netherlands. (I don't know what the problem is with the template here. It looks fine if you use a dark background.)

Genomic selection and systems biology – lessons from dairy cattle breeding from John B. Cole, Ph.D.

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0 Use of NGS to identify the causal variant associated with a complex phenotype /slideshow/use-of-ngs-to-identify-the-causal-variant-associated-with-a-complex-phenotype/34854596 wageningen2013jbc-140519084944-phpapp01
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]]> Mon, 19 May 2014 08:49:44 GMT /slideshow/use-of-ngs-to-identify-the-causal-variant-associated-with-a-complex-phenotype/34854596 jbcole@slideshare.net(jbcole) Use of NGS to identify the causal variant associated with a complex phenotype jbcole <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/wageningen2013jbc-140519084944-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

Use of NGS to identify the causal variant associated with a complex phenotype from John B. Cole, Ph.D.

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0 Genomic evaluation of dairy cattle health /slideshow/icar-health-dataconference2013jbc/34854435 icarhealthdataconference2013jbc-140519084523-phpapp02
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]]> Mon, 19 May 2014 08:45:23 GMT /slideshow/icar-health-dataconference2013jbc/34854435 jbcole@slideshare.net(jbcole) Genomic evaluation of dairy cattle health jbcole <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/icarhealthdataconference2013jbc-140519084523-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

Genomic evaluation of dairy cattle health from John B. Cole, Ph.D.

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0 Uso e valore economico dei test genomici in azienda /jbcole/uso-e-valore-economico-dei-test-genomici-in-azienda anafi2013italianjbc-140519084343-phpapp02
Italian translation of the slides from my invited talk at the ANAFI Workshop in Cremona in February 2013.]]>
Italian translation of the slides from my invited talk at the ANAFI Workshop in Cremona in February 2013.]]> Mon, 19 May 2014 08:43:43 GMT /jbcole/uso-e-valore-economico-dei-test-genomici-in-azienda jbcole@slideshare.net(jbcole) Uso e valore economico dei test genomici in azienda jbcole Italian translation of the slides from my invited talk at the ANAFI Workshop in Cremona in February 2013. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/anafi2013italianjbc-140519084343-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Italian translation of the slides from my invited talk at the ANAFI Workshop in Cremona in February 2013.

Uso e valore economico dei test genomici in azienda from John B. Cole, Ph.D.

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0 The use and economic value of genomic testing for calves on dairy farms /slideshow/the-use-and-economic-value-of-genomic-testing-for-calves-on-dairy-farms/34854271 anafi2013jbc-140519084119-phpapp02
My invited talk from the 2013 ANAFI workshop in Cremona, Italy.]]>
My invited talk from the 2013 ANAFI workshop in Cremona, Italy.]]> Mon, 19 May 2014 08:41:19 GMT /slideshow/the-use-and-economic-value-of-genomic-testing-for-calves-on-dairy-farms/34854271 jbcole@slideshare.net(jbcole) The use and economic value of genomic testing for calves on dairy farms jbcole My invited talk from the 2013 ANAFI workshop in Cremona, Italy. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/anafi2013jbc-140519084119-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> My invited talk from the 2013 ANAFI workshop in Cremona, Italy.

The use and economic value of genomic testing for calves on dairy farms from John B. Cole, Ph.D.

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0 Genomic evaluation of low-heritability traits: dairy cattle health as a model /slideshow/genomic-evaluation-of-lowheritability-traits-dairy-cattle-health-as-a-model/34854196 5thisafgposterjbc-140519083926-phpapp02
Genetic selection has been very successful when applied to traits of moderate to high heritability, but progress has been slow for traits with low heritabilities. The problem is further compounded when novel traits are considered because data needed to calculate high-reliability PTA generally are not available. A combination of producer-recorded health event data and SNP genotypes may permit the routine calculation of PTA with reasonable reliabilities for health traits. Poster presented at the 5th International Symposium on Animal Functional Genetics in Guaruja, Brazil, in 2014.]]>
Genetic selection has been very successful when applied to traits of moderate to high heritability, but progress has been slow for traits with low heritabilities. The problem is further compounded when novel traits are considered because data needed to calculate high-reliability PTA generally are not available. A combination of producer-recorded health event data and SNP genotypes may permit the routine calculation of PTA with reasonable reliabilities for health traits. Poster presented at the 5th International Symposium on Animal Functional Genetics in Guaruja, Brazil, in 2014.]]> Mon, 19 May 2014 08:39:26 GMT /slideshow/genomic-evaluation-of-lowheritability-traits-dairy-cattle-health-as-a-model/34854196 jbcole@slideshare.net(jbcole) Genomic evaluation of low-heritability traits: dairy cattle health as a model jbcole Genetic selection has been very successful when applied to traits of moderate to high heritability, but progress has been slow for traits with low heritabilities. The problem is further compounded when novel traits are considered because data needed to calculate high-reliability PTA generally are not available. A combination of producer-recorded health event data and SNP genotypes may permit the routine calculation of PTA with reasonable reliabilities for health traits. Poster presented at the 5th International Symposium on Animal Functional Genetics in Guaruja, Brazil, in 2014. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/5thisafgposterjbc-140519083926-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Genetic selection has been very successful when applied to traits of moderate to high heritability, but progress has been slow for traits with low heritabilities. The problem is further compounded when novel traits are considered because data needed to calculate high-reliability PTA generally are not available. A combination of producer-recorded health event data and SNP genotypes may permit the routine calculation of PTA with reasonable reliabilities for health traits. Poster presented at the 5th International Symposium on Animal Functional Genetics in Guaruja, Brazil, in 2014.

Genomic evaluation of low-heritability traits: dairy cattle health as a model from John B. Cole, Ph.D.

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0 New applications of genomic technology in the US dairy industry /slideshow/5th-isafg-jbc-34854107/34854107 5thisafgjbc-140519083703-phpapp01
Presentation from the 5th International Symposium on Animal Functional Genomics in Guaruja, Brazil.]]>
Presentation from the 5th International Symposium on Animal Functional Genomics in Guaruja, Brazil.]]> Mon, 19 May 2014 08:37:03 GMT /slideshow/5th-isafg-jbc-34854107/34854107 jbcole@slideshare.net(jbcole) New applications of genomic technology in the US dairy industry jbcole Presentation from the 5th International Symposium on Animal Functional Genomics in Guaruja, Brazil. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/5thisafgjbc-140519083703-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation from the 5th International Symposium on Animal Functional Genomics in Guaruja, Brazil.

New applications of genomic technology in the US dairy industry from John B. Cole, Ph.D.

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0 https://cdn.slidesharecdn.com/profile-photo-jbcole-48x48.jpg?cb=1523643433 The Bowie VFD is a full service Fire/Rescue/EMS department responsible for protecting the fourth-largest city in the State of Maryland by providing 24-hour emergency services to the citizens and visitors of Bowie, Maryland and surrounding areas. Our department is composed of four stations with primary response area of approximately 28 square miles and a population of over 54,000. As assistant secretary, I am responsible for maintaining station records, as well as personnel records for members of Company 19. I also maintain the Department's website. johnbcole.com https://cdn.slidesharecdn.com/ss_thumbnails/crv2015jbc-150421081340-conversion-gate02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/crv-2015-jbc/47239936 Crv 2015 jbc https://cdn.slidesharecdn.com/ss_thumbnails/optimir2015jbc-150421080823-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/opti-mir-2015jbc/47239737 Using genotypes to con... https://cdn.slidesharecdn.com/ss_thumbnails/nationaldhiaagilreport2015jbc-150319081231-conversion-gate01-thumbnail.jpg?width=320&height=320&fit=bounds jbcole/2015-agil-update 2015 AGIL Update