This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
Monsanto's document discusses their biotechnology pipeline and commitment to safety. It provides an overview of Monsanto's technology development activities, R&D strategies for driving innovation, and the expansion of agricultural biotech traits globally. Charts show growing adoption of traits like Roundup Ready corn and YieldGard Rootworm corn by US farmers due to superior performance and cost benefits over insecticide treatments.
Guidelines for uniform_beef_improvement 3MohammadWaqid
This document discusses considerations for sire selection in breeding programs. It explains that sire selection is key, and that performance of the individual, ancestors, relatives, and progeny can be used to predict breeding value. The accuracy of predicting breeding value depends on the heritability of traits and how they can be measured in the individual or progeny. National sire evaluation programs aim to provide expected progeny differences between bulls based on progeny performance across herds to aid breeders in selection. The program emphasizes performance testing within herds first to identify top individuals, and then uses reference sires in progeny testing to enable between-herd comparisons.
Is Organic Farming Worth its Investment? The Adoption and Impact of Certified...Linda Kleemann
This document discusses a thesis examining the adoption and impact of organic pineapple farming certification in Ghana. It provides an overview of the thesis topics, including sustainable agriculture, organic farming in Ghana, price transmission analysis of pineapple markets, and the costs and benefits of organic certification for pineapple farmers. The presentation also outlines the motivation, literature review, pineapple sector context in Ghana, theoretical framework, data collection and empirical strategy used in the research.
This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
Harnessing genetic diversity to improve goat productivity in Africa: Ethiopia...ILRI
This document describes a project in Ethiopia to improve goat productivity through harnessing genetic diversity. The project is being implemented in five sites in Ethiopia, targeting four different goat breeds. The expected outputs are to establish functional community-based goat genetic improvement programs, develop guidelines for such programs in Africa, and build capacity of local stakeholders. The overall purpose is to develop sustainable community-based goat breeding schemes that meet farmers' needs and local conditions.
Marker assisted selection can be used to accelerate genetic change for economic and production traits in cattle. It allows for more direct selection compared to phenotype-based selection alone. This can increase profitability through improved feed efficiency, carcass value, and other traits. While marker assisted selection may increase uniformity across breeds, variation is still important for adaptation to different environments. Breeders need to consider how to balance selection for market traits while maintaining breed distinctions and ability to adapt. Genomic technology can help improve the accuracy of estimated breeding values by linking DNA information to performance data.
The document summarizes the Canadian Beef Breeds Council (CBBC) and their Beef InfoXchange System (BIXS) initiative. CBBC/BIXS aims to build value in the Canadian beef brand and value chain by creating a single-source information system. This system would link purebred beef producers and allow for information sharing around animal genetics and performance data. The goals are to identify and increase demand for superior genetics, reduce risk, and make the industry more profitable, quality-driven and globally competitive.
This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
Monsanto's document discusses their biotechnology pipeline and commitment to safety. It provides an overview of Monsanto's technology development activities, R&D strategies for driving innovation, and the expansion of agricultural biotech traits globally. Charts show growing adoption of traits like Roundup Ready corn and YieldGard Rootworm corn by US farmers due to superior performance and cost benefits over insecticide treatments.
Guidelines for uniform_beef_improvement 3MohammadWaqid
This document discusses considerations for sire selection in breeding programs. It explains that sire selection is key, and that performance of the individual, ancestors, relatives, and progeny can be used to predict breeding value. The accuracy of predicting breeding value depends on the heritability of traits and how they can be measured in the individual or progeny. National sire evaluation programs aim to provide expected progeny differences between bulls based on progeny performance across herds to aid breeders in selection. The program emphasizes performance testing within herds first to identify top individuals, and then uses reference sires in progeny testing to enable between-herd comparisons.
Is Organic Farming Worth its Investment? The Adoption and Impact of Certified...Linda Kleemann
This document discusses a thesis examining the adoption and impact of organic pineapple farming certification in Ghana. It provides an overview of the thesis topics, including sustainable agriculture, organic farming in Ghana, price transmission analysis of pineapple markets, and the costs and benefits of organic certification for pineapple farmers. The presentation also outlines the motivation, literature review, pineapple sector context in Ghana, theoretical framework, data collection and empirical strategy used in the research.
This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
Harnessing genetic diversity to improve goat productivity in Africa: Ethiopia...ILRI
This document describes a project in Ethiopia to improve goat productivity through harnessing genetic diversity. The project is being implemented in five sites in Ethiopia, targeting four different goat breeds. The expected outputs are to establish functional community-based goat genetic improvement programs, develop guidelines for such programs in Africa, and build capacity of local stakeholders. The overall purpose is to develop sustainable community-based goat breeding schemes that meet farmers' needs and local conditions.
Marker assisted selection can be used to accelerate genetic change for economic and production traits in cattle. It allows for more direct selection compared to phenotype-based selection alone. This can increase profitability through improved feed efficiency, carcass value, and other traits. While marker assisted selection may increase uniformity across breeds, variation is still important for adaptation to different environments. Breeders need to consider how to balance selection for market traits while maintaining breed distinctions and ability to adapt. Genomic technology can help improve the accuracy of estimated breeding values by linking DNA information to performance data.
The document summarizes the Canadian Beef Breeds Council (CBBC) and their Beef InfoXchange System (BIXS) initiative. CBBC/BIXS aims to build value in the Canadian beef brand and value chain by creating a single-source information system. This system would link purebred beef producers and allow for information sharing around animal genetics and performance data. The goals are to identify and increase demand for superior genetics, reduce risk, and make the industry more profitable, quality-driven and globally competitive.
This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
Application of molecular biology to conventional disease strategies ( M.Phil ...Satya Prakash Chaurasia
As resistance to disease in plants is genetically controlled, molecular tools like breeding resistant cultivars has been an intensively used approach for crop protection since near beginning of human civilization, the time when we did not know its molecular aspects. Even today, molecular biology is applied in multiple ways to control plant diseases. Some of which are breeding, tissue culture, marker assisted breeding, QTL- mapping, identification of novel resistance genes etc. With the commencement of advanced technologies in the recent past, we are now able to genetically modify a plant without wasting a lot of time and avoiding problems of sexual incompatibility which we encounter in breeding programs.
This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
Using genotypes to construct phenotypes for dairy cattle breeding programs an...John B. Cole, Ph.D.
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.
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.
This document summarizes John Cole's presentation on new genomic tools for dairy cattle. Some key points:
1) Genomic selection works well in dairy cattle due to extensive historical data, genetic evaluation programs, widespread AI use, and high-value animals. Genomics can reduce generation intervals.
2) Different genotyping arrays like BovineSNP50 and BovineHD are used, with over 300,000 animals genotyped as of 2013.
3) Genomic predictions provide information equivalent to dozens of progeny, improving reliability of selection, especially for lowly heritable traits. This allows more rapid genetic improvement.
Genomics is the study of an organism's entire genetic makeup. New genomic technologies allow cattle producers to select for economically important traits like growth rate, feed efficiency, and disease resistance. The beef industry is interested in using these tools to improve breed performance and validate superior cattle through traits like growth, carcass quality, and animal welfare. Genomic data could be integrated with performance records to enhance selection accuracy and identify new traits of economic value.
The Value Of Genomic Predictions in Beef CattleJared Decker
The document discusses the value of genomic predictions in beef cattle breeding. It provides examples showing how genomic-enhanced EPDs (GE-EPDs) increase the reliability and precision of EPDs by incorporating genomic test results. Using GE-EPDs allows producers to identify genetic differences between animals earlier and reduce selection risk. Simulation studies show the total value of genetic improvement from genomic testing can be $204 to $1,119 per animal. Programs like Show-Me-Select that use GE-EPDs see premiums of $130 to $460 per head for genomically-tested replacement females. The document also discusses how genomic testing can aid in selection for local genetic adaptation across cattle environments and regions.
The document summarizes a training program for cattle producers in Alabama. It provided 24 hours of classroom instruction over 8 sessions covering topics like economics, nutrition, health, and genetics. 79% of participants achieved certification by scoring 70% or higher on exams after each session. According exit surveys, over 90% found the information very valuable and planned to apply the knowledge to improve their cattle operations. The program achieved its objectives of educating producers and helping them gain skills to make better decisions for long-term sustainability.
This document discusses seed quality assurance in India. It makes three key points:
1) Seed quality is essential for higher agricultural productivity and farmer incomes. Factors like genetic purity, physical purity, germination and health are important for quality seeds.
2) Ensuring quality requires cooperation across the seed industry, including variety maintenance, quality production and testing, packaging, and storage. Precise testing is needed using methods like tetrazolium staining.
3) Steps are needed to improve quality assurance, including updating standards, building capacity through training, enhancing laboratory infrastructure, and rationalizing certification norms. Collaboration is important to assure farmers receive high quality seeds.
This document discusses seed quality assurance and related topics. It emphasizes that seed quality is essential for higher agricultural productivity. Ensuring quality involves precision at various stages from pre-production to post-production testing. Modern techniques like DNA fingerprinting and image analysis can help evaluate genetic and trait purity. Seed enhancement methods like priming can improve germination and seedling vigor. Maintaining variety purity, revising quality standards, capacity building and infrastructure development are needed to further improve seed quality assurance.
Innovative digital technology and genomic approaches to dairy cattle genetic...ILRI
Presented by R. Mrode, J. Ojango, Ekine Chinyere, John Gibson and Okeyo Mwai at the Strategic Interest Research Group Meeting on Genetic Improvement of Livestock II, IITA, Ibadan, 2-3 September 2019
Olav Jamtøy is the CEO of Life Sciences Enterprice, which has been utilizing DNA technology in commercial fish breeding programs since 1996. The company operates breeding programs for Atlantic salmon and tilapia, selecting for traits like growth, fillet yield, and disease resistance. GenoMar has developed GenoMar Supreme Tilapia (GST), their premium tilapia strain, through over 22 generations of selective breeding. GST shows improved growth performance over time in commercial operations in Asia, requiring fewer days to reach market size. GenoMar partners with farmers in their tilapia value chain through broodstock sales, hatchery and nursery operations, and processing to offer a traceable and sustainable til
Genomic selection changing Breeding programe around the world, talk consist of concept of Breeding, breeding value, Genomic breeding value, Genotype imputation, male calf procurement on basis of GEBV under SAG PT Project and 1000 bull genome project.
Monsanto has an experienced soybean breeding program with over 225 years of experience among its breeders and managers. The program utilizes elite germplasm from multiple sources and a pipeline of valued added traits. It has increased testing capacity and access to new breeding technologies like marker assisted selection to make genetic gains and develop varieties with stacked traits. The program focuses on developing varieties with high yields, disease/pest resistance, and composition traits for different maturity groups to meet customer needs.
Predicting phenotypic traits from genotypes is a key focus in agrigenomics, as researchers and commercial farming operations work to increase crop yields and meat production to satisfy the needs of a growing global population. Genomic prediction allows these scientists to identify the plants or animals with the best breeding potential for desirable traits without having to go through lengthy and expensive field trials.
The Golden Helix SNP and Variation Suite (SVS) offers three methods for genomic prediction: Bayes C, Bayes C-pi and Genomic Best Linear Unbiased Predictors (GBLUP). This webcast will discuss the principles of genomic prediction. It describes how these methods are applied within SVS predicting phenotypes for both plant and animal species. In addition, we show how k-fold cross-validation can be utilized optimizing predictive models.
A framework for exploring rural futures through collective learning. M Wedder...Joanna Hicks
This document presents a framework for exploring rural futures through collective learning. It identifies key drivers of change for rural systems, including production efficiency, product quality, natural resource management, biosecurity, markets, climate change, and urban influence. The objectives are to build capacity for exploring strategies and policies, facilitate stakeholder interaction, and use participatory modeling to stimulate collective learning about future scenarios. A case study applying this framework with a study group in Manawatu, New Zealand is also discussed.
This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
Application of molecular biology to conventional disease strategies ( M.Phil ...Satya Prakash Chaurasia
As resistance to disease in plants is genetically controlled, molecular tools like breeding resistant cultivars has been an intensively used approach for crop protection since near beginning of human civilization, the time when we did not know its molecular aspects. Even today, molecular biology is applied in multiple ways to control plant diseases. Some of which are breeding, tissue culture, marker assisted breeding, QTL- mapping, identification of novel resistance genes etc. With the commencement of advanced technologies in the recent past, we are now able to genetically modify a plant without wasting a lot of time and avoiding problems of sexual incompatibility which we encounter in breeding programs.
This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
Using genotypes to construct phenotypes for dairy cattle breeding programs an...John B. Cole, Ph.D.
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.
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.
This document summarizes John Cole's presentation on new genomic tools for dairy cattle. Some key points:
1) Genomic selection works well in dairy cattle due to extensive historical data, genetic evaluation programs, widespread AI use, and high-value animals. Genomics can reduce generation intervals.
2) Different genotyping arrays like BovineSNP50 and BovineHD are used, with over 300,000 animals genotyped as of 2013.
3) Genomic predictions provide information equivalent to dozens of progeny, improving reliability of selection, especially for lowly heritable traits. This allows more rapid genetic improvement.
Genomics is the study of an organism's entire genetic makeup. New genomic technologies allow cattle producers to select for economically important traits like growth rate, feed efficiency, and disease resistance. The beef industry is interested in using these tools to improve breed performance and validate superior cattle through traits like growth, carcass quality, and animal welfare. Genomic data could be integrated with performance records to enhance selection accuracy and identify new traits of economic value.
The Value Of Genomic Predictions in Beef CattleJared Decker
The document discusses the value of genomic predictions in beef cattle breeding. It provides examples showing how genomic-enhanced EPDs (GE-EPDs) increase the reliability and precision of EPDs by incorporating genomic test results. Using GE-EPDs allows producers to identify genetic differences between animals earlier and reduce selection risk. Simulation studies show the total value of genetic improvement from genomic testing can be $204 to $1,119 per animal. Programs like Show-Me-Select that use GE-EPDs see premiums of $130 to $460 per head for genomically-tested replacement females. The document also discusses how genomic testing can aid in selection for local genetic adaptation across cattle environments and regions.
The document summarizes a training program for cattle producers in Alabama. It provided 24 hours of classroom instruction over 8 sessions covering topics like economics, nutrition, health, and genetics. 79% of participants achieved certification by scoring 70% or higher on exams after each session. According exit surveys, over 90% found the information very valuable and planned to apply the knowledge to improve their cattle operations. The program achieved its objectives of educating producers and helping them gain skills to make better decisions for long-term sustainability.
This document discusses seed quality assurance in India. It makes three key points:
1) Seed quality is essential for higher agricultural productivity and farmer incomes. Factors like genetic purity, physical purity, germination and health are important for quality seeds.
2) Ensuring quality requires cooperation across the seed industry, including variety maintenance, quality production and testing, packaging, and storage. Precise testing is needed using methods like tetrazolium staining.
3) Steps are needed to improve quality assurance, including updating standards, building capacity through training, enhancing laboratory infrastructure, and rationalizing certification norms. Collaboration is important to assure farmers receive high quality seeds.
This document discusses seed quality assurance and related topics. It emphasizes that seed quality is essential for higher agricultural productivity. Ensuring quality involves precision at various stages from pre-production to post-production testing. Modern techniques like DNA fingerprinting and image analysis can help evaluate genetic and trait purity. Seed enhancement methods like priming can improve germination and seedling vigor. Maintaining variety purity, revising quality standards, capacity building and infrastructure development are needed to further improve seed quality assurance.
Innovative digital technology and genomic approaches to dairy cattle genetic...ILRI
Presented by R. Mrode, J. Ojango, Ekine Chinyere, John Gibson and Okeyo Mwai at the Strategic Interest Research Group Meeting on Genetic Improvement of Livestock II, IITA, Ibadan, 2-3 September 2019
Olav Jamtøy is the CEO of Life Sciences Enterprice, which has been utilizing DNA technology in commercial fish breeding programs since 1996. The company operates breeding programs for Atlantic salmon and tilapia, selecting for traits like growth, fillet yield, and disease resistance. GenoMar has developed GenoMar Supreme Tilapia (GST), their premium tilapia strain, through over 22 generations of selective breeding. GST shows improved growth performance over time in commercial operations in Asia, requiring fewer days to reach market size. GenoMar partners with farmers in their tilapia value chain through broodstock sales, hatchery and nursery operations, and processing to offer a traceable and sustainable til
Genomic selection changing Breeding programe around the world, talk consist of concept of Breeding, breeding value, Genomic breeding value, Genotype imputation, male calf procurement on basis of GEBV under SAG PT Project and 1000 bull genome project.
Monsanto has an experienced soybean breeding program with over 225 years of experience among its breeders and managers. The program utilizes elite germplasm from multiple sources and a pipeline of valued added traits. It has increased testing capacity and access to new breeding technologies like marker assisted selection to make genetic gains and develop varieties with stacked traits. The program focuses on developing varieties with high yields, disease/pest resistance, and composition traits for different maturity groups to meet customer needs.
Predicting phenotypic traits from genotypes is a key focus in agrigenomics, as researchers and commercial farming operations work to increase crop yields and meat production to satisfy the needs of a growing global population. Genomic prediction allows these scientists to identify the plants or animals with the best breeding potential for desirable traits without having to go through lengthy and expensive field trials.
The Golden Helix SNP and Variation Suite (SVS) offers three methods for genomic prediction: Bayes C, Bayes C-pi and Genomic Best Linear Unbiased Predictors (GBLUP). This webcast will discuss the principles of genomic prediction. It describes how these methods are applied within SVS predicting phenotypes for both plant and animal species. In addition, we show how k-fold cross-validation can be utilized optimizing predictive models.
A framework for exploring rural futures through collective learning. M Wedder...Joanna Hicks
This document presents a framework for exploring rural futures through collective learning. It identifies key drivers of change for rural systems, including production efficiency, product quality, natural resource management, biosecurity, markets, climate change, and urban influence. The objectives are to build capacity for exploring strategies and policies, facilitate stakeholder interaction, and use participatory modeling to stimulate collective learning about future scenarios. A case study applying this framework with a study group in Manawatu, New Zealand is also discussed.
Wheat quality improvement in China, progress and prospectsCIMMYT
This document summarizes progress in improving wheat quality in China. It outlines Chinese wheat quality issues, improvements made through breeding programs, and future prospects using genomic technologies. Major points include: developing varieties with stronger gluten and brighter color for noodles and bread; screening advanced lines at research stations; and applying markers for traits like yellow pigment and color to accelerate breeding. The integration of breeding, chemistry, technology and management has led to new high-yielding, high-quality varieties accepted by industry and farmers.
This is the 5th and final presentation in a 5-part webinar series on Breeding Better Sheep & Goats. The presenter is Susan Schoenian, University of Maryland Extension Sheep & Goat Specialist.
Genome-wide association studies (GWAS) have been providing valuable insight to the genetics of common and complex diseases for many years. In this webcast we will walk through one possible workflow for completing GWAS in Golden Helix SNP & Variation Suite (SVS) with special attention paid to adjusting analysis for population stratification.
The webcast will include:
Visualizations including Manhattan Plots, linkage disequilibrium plots, and genomic annotation sources.
Quality assurance including cryptic relatedness, population stratification, as well as sample and marker statistics.
Genotype association tests and statistics including Corr/Trend tests, logistic and linear regression, Mixed Linear Models, and more.
This document discusses facilitating target candidate prioritization through integrated visualizations of molecular profiling data. It describes analyzing multiple types of genomic data, such as gene expression, copy number, and mutations, to generate prioritized lists of potential drug targets. The document outlines public molecular profiling efforts like The Cancer Genome Atlas and commercial repositories. It also describes TARO, a database and interactive visualization tool that integrates internal and external molecular profiling data to enable target identification, validation, and model selection.
This document summarizes different methods for testing genetically modified (GM) seed and trait purity, including DNA-based, protein-based, and bioassay methods. DNA-based methods include endpoint PCR, real-time PCR, and other technologies to detect the presence of GM DNA. Protein-based methods include lateral flow strip tests and enzyme-linked immunosorbent assays (ELISAs) to detect GM proteins. Bioassays involve growing seeds in controlled conditions and observing for trait expression. The document provides details on ELISA tests, lateral flow strips, electrophoresis, polymerase chain reaction (PCR), and considerations for calculating and expressing testing results.
12 Tweets for Using Digital Media for Internal CommunicationGenome Alberta
1) The document discusses using digital media and social media for internal communications within organizations.
2) It provides 12 tweets that each highlight a key consideration or best practice for using these tools effectively, such as letting business needs drive the strategy, sticking to basic digital principles, and managing potential unintended consequences.
3) The overall message is that internal digital media can be a useful tool if implemented with the right philosophy, principles, and awareness of its opportunities and challenges.
Presentation on "Choosing the Right Social Media Tools to Get Your Message Out". Some of the tools may have changes since 2012 but this is all about the basics to help you no matter what comes and goes.
ROI from social media and online tools can be difficult to determine - especially for government or not for profits who aren't selling widgets. Back to basics to align your efforts with your departmental objectives.
If antibiotics quit working we would see deaths from otherwise treatable infections rise rapidly. This presentation from Genome Alberta President & CEO Dr. David Bailey looks at the rising problem of antibiotic resistant microbes, or AMR. It was part of the Beef Value Chain Roundtable held in Ottawa, Ontario.
Ali washington sept 2013 spear presentationGenome Alberta
Mike Spear's slide deck on social media tools and a bit of theory behind it, presented to the ALI Social Media & Government workshop in Washington DC, September 2013.
Mike Spear outlines a social media strategy for Genome Alberta to raise awareness, provide education, and position the organization as an information source. The strategy focuses on platforms like GenOmics, Twitter, blogs and newsletters to engage different audiences. Social media is seen as a fundamental shift in communication that provides new opportunities despite serving audiences with limited internet access. The goal is to connect various stakeholders through an integrated approach across multiple online channels.
The document summarizes two upcoming Genome Canada competitions: a large-scale applied research competition with $60 million available for projects in forestry, environment, and other sectors, and a $24 million competition for innovation center operations support. It outlines the application process, timelines, eligibility requirements, and criteria for each competition. Key dates include a June 15 registration deadline for the large-scale competition and August 20/December 8 deadlines for letters of intent and full applications, respectively, for the innovation center support competition.
This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
This is a presentation from the Canadian Bovine Genomics Workshop held in Calgary, Alberta on Sept.14, 2009.
The workshop was the first step in developing a national bovine genomics strategy for Canada.
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
inQuba Webinar Mastering Customer Journey Management with Dr Graham HillLizaNolte
HERE IS YOUR WEBINAR CONTENT! 'Mastering Customer Journey Management with Dr. Graham Hill'. We hope you find the webinar recording both insightful and enjoyable.
In this webinar, we explored essential aspects of Customer Journey Management and personalization. Here’s a summary of the key insights and topics discussed:
Key Takeaways:
Understanding the Customer Journey: Dr. Hill emphasized the importance of mapping and understanding the complete customer journey to identify touchpoints and opportunities for improvement.
Personalization Strategies: We discussed how to leverage data and insights to create personalized experiences that resonate with customers.
Technology Integration: Insights were shared on how inQuba’s advanced technology can streamline customer interactions and drive operational efficiency.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
Dandelion Hashtable: beyond billion requests per second on a commodity serverAntonios Katsarakis
This slide deck presents DLHT, a concurrent in-memory hashtable. Despite efforts to optimize hashtables, that go as far as sacrificing core functionality, state-of-the-art designs still incur multiple memory accesses per request and block request processing in three cases. First, most hashtables block while waiting for data to be retrieved from memory. Second, open-addressing designs, which represent the current state-of-the-art, either cannot free index slots on deletes or must block all requests to do so. Third, index resizes block every request until all objects are copied to the new index. Defying folklore wisdom, DLHT forgoes open-addressing and adopts a fully-featured and memory-aware closed-addressing design based on bounded cache-line-chaining. This design offers lock-free index operations and deletes that free slots instantly, (2) completes most requests with a single memory access, (3) utilizes software prefetching to hide memory latencies, and (4) employs a novel non-blocking and parallel resizing. In a commodity server and a memory-resident workload, DLHT surpasses 1.6B requests per second and provides 3.5x (12x) the throughput of the state-of-the-art closed-addressing (open-addressing) resizable hashtable on Gets (Deletes).
4. Creating Value with MMI Genomics
Breed-Tru™ Products
Tru-Parentage™ Tru-Marbling™
Tru-Identity™ Tru-Tenderness™
Tru-Polled™ Tru-Finish™
Tru-CoatColor™ Tru-Gain™
5. Value Creation Opportunities
Packer/
Breeder Producer Feedlot
Processor
• Breeders & Producers: Breeding Tools
– Increase accuracy of selection
– Target traits difficult to measure with traditional selection
• Producers & Feeders: Animal Management Tools
– Sort and manage animals based on genetic potential
– Optimized marketing
• Packers/Processors: Branded Beef Products
– Create range of branded products with guaranteed palatability attributes
– Forward marketing/sales of beef products based on predictable supply
All Segments: Parent Verification, Identity & Traceability
6. Breed-Tru® Products
Value Proposition for Seedstock & Producer Segments
• MGVs can be used to rank animals genetically
• MGVs can be used to mate specific animals
• MGVs can be estimated at any time in an animal’s life
• MGVs can increase the accuracy of selection and
decrease the age at which animals can be selected.
7. Opportunity for Value Creation
Supply Demand
Standard Select Choice Prime
Quality Grade
8. Value Paradox
Weight Gain and
Efficiency
+ +
Harvest maturity Implants
on Growth curve
_ _
Quality Tenderness
9. Feedlot Animal Management Products
Animal Sorting and Marketing Tools
Based on Tru-Marbling & Tru-Gain
• DNA Genotyping: to determine
genetic potential
• Sorting: into outcome groups
based on genetic potential
• Manage: to optimize the genetic
potential of each group
• Market: into grid-based program
that provides greatest returns
10. Marker-Assisted Management
• Reduced feed costs by feeding to the optimum end-point/growth curve, not beyond
• Increased carcass value by hitting thresholds for quality,
• Market to the optimum grid or pricing formula based on genetic potential and
management scheme
• Improved ability to forecast product mix between choice and select quality grades,
• Enhanced ability to supply product for branded programs
Sample Collected on
EID cattle
Feedlot MMI Genomics
MGVs or
Sort Programs for
Tru-Finish
Forecast on quality Tru-Gain
grades 60-90 pre- Supply management for
harvest branded programs
Processor
11. Results in Commercial Feedlot Cattle – Quality Grade
Number of Average
Observations MGV SE
Prime 3 34.53 5.10
High Choice 62 21.54 2.56
Medium
Choice 785 15.04 0.78
Low choice 3128 9.49 0.40
Select 10881 -5.03 0.22
No Roll 1477 -18.68 0.52
12. Pre-Sort Accuracy of the Tru-Finish System
Accuracy of Tru-Marbling Sort
1.20
1.00
Percentage of Grade
0.80
Top 25%
0.60 Middle 50%
Bottom 25%
0.40
0.20
0.00
Prime High Medium Low Choice Select No Roll
Choice Choice
Quality Grade
13. Value Sharing Through the Chain:
DNA diagnostics and Informatics holds it together
Seedstock Genetic Evaluation Genetic
Producer Evaluation
Bulls MGV or genotypes and
parentage information
Cow-Calf DNA sample from calf
Genomic analysis
Producer (laboratory and informatics
Tools for genetic and economic systems)
management
EID identified feeder cattle.
•Parentage information
Source, age and process
verification. •Traceabillity
Improved production •Breeding systems using computer
efficiency through genetic information
management •Improved resource management
Phenotypes linked to EID
Premiums for Quality
Feedlot Processor