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VSN International
United Kingdom
Приєднався 24 тра 2016
Welcome to the VSNi UA-cam Channel!
Our Vision: Eradicating global food production challenges through data, analytics, and technology.
On Our Channel: Find product tutorials, training videos, webinars, and podcasts to harness your data’s full potential.
About VSNi: At VSNi, we help organisations to navigate data complexities with precision. Our expertise spans Consulting, Analytics, Software, and Data Solutions, improving workflows, decision-making, and driving innovation.
Consulting: Tailored solutions in breeding strategies, data management, and analytics.
Analytics: Transforming data into actionable insights for optimised breeding strategies.
Software: Industry-leading products like Genstat, ASReml and CycDesigN
Data Solutions: Turning data into a strategic asset for informed decision-making.
Mission: Enhance your breeding programs with expert consulting, cutting-edge analytics, robust software and effective data solutions.
Visit www.vsni.co.uk/ to find out more.
Our Vision: Eradicating global food production challenges through data, analytics, and technology.
On Our Channel: Find product tutorials, training videos, webinars, and podcasts to harness your data’s full potential.
About VSNi: At VSNi, we help organisations to navigate data complexities with precision. Our expertise spans Consulting, Analytics, Software, and Data Solutions, improving workflows, decision-making, and driving innovation.
Consulting: Tailored solutions in breeding strategies, data management, and analytics.
Analytics: Transforming data into actionable insights for optimised breeding strategies.
Software: Industry-leading products like Genstat, ASReml and CycDesigN
Data Solutions: Turning data into a strategic asset for informed decision-making.
Mission: Enhance your breeding programs with expert consulting, cutting-edge analytics, robust software and effective data solutions.
Visit www.vsni.co.uk/ to find out more.
Partitioning Additive, Dominance & Epistatic Genetic Effects Using an Animal Model - VSNi Webinar
The Animal Model is a popular tool in quantitative genetics, enabling researchers to separate additive genetic components from other genetic and environmental influences by incorporating a relationship matrix, often derived from pedigree data. Watch this insightful webinar recorded by Dr. Salvador Gezan, a statistician and quantitative geneticist with more than 20 years of experience in breeding, statistical analysis, and genetic improvement consulting. He delves into the capabilities of the Animal Model, including its extension to estimate non-additive effects such as dominance and epistasis using ASReml-R.
Key Topics
Additive and Non-Additive Components: Learn how to estimate additive, dominance, and epistatic effects using clonally replicated data from a plant breeding programme.
Biological Interpretation and Relevance: Understand the biological significance of these genetic components and their relevance in a breeding programme.
Phenotypic Data Analysis: Discuss the requirements and implications of using different types of phenotypic data for these analyses.
Model Extensions: Explore extensions to the Animal Model that incorporate genomics data, expanding the scope and accuracy of genetic research.
Want to know more?
If you would like to discuss how VSNi can help you in all areas of your breeding programme visit vsni.co.uk or drop us an email at info@vsni.co.uk.
Key Topics
Additive and Non-Additive Components: Learn how to estimate additive, dominance, and epistatic effects using clonally replicated data from a plant breeding programme.
Biological Interpretation and Relevance: Understand the biological significance of these genetic components and their relevance in a breeding programme.
Phenotypic Data Analysis: Discuss the requirements and implications of using different types of phenotypic data for these analyses.
Model Extensions: Explore extensions to the Animal Model that incorporate genomics data, expanding the scope and accuracy of genetic research.
Want to know more?
If you would like to discuss how VSNi can help you in all areas of your breeding programme visit vsni.co.uk or drop us an email at info@vsni.co.uk.
Переглядів: 60
Відео
Simultaneous Modelling of Multi-Trait and Multi-Environment Structures with ASReml-R
Переглядів 6184 місяці тому
In this video, Dr. Gezan dives into the complexities of fitting combined multi-trait and multi-environment models. He shares practical tips for successfully navigating these models, including the use of multivariate correlation structures like CORGH and factor analytic approximations. Plus, he discusses the interpretation of estimated parameters for informed breeding decisions. Whether you're n...
Increasing Genetic Gains Through Improved Design of Field Trials (Webinar)
Переглядів 4086 місяців тому
Led by the esteemed Dr. Salvador Gezan, the session delved into statistical techniques for optimizing field trial designs in plant breeding. Topics covered included incomplete blocks, row-column designs, Latinization, sparse testing, unreplicated trials, spatially generated designs, and pedigree-based randomization. Dr. Salvador Gezan also discussed the setup of linear mixed models and optional...
Genetic relationships in ASReml-R
Переглядів 81810 місяців тому
To see downloadable files click more... below. This video describes how to include known variance structures, such as pedigree information, into a linear mixed model analysis using ASReml-R version 4. DOWNLOADABLE FILE downloads.vsni.digital/08f57ebf544cb1522eaf4656d76f4f1c4d43e254/genetic_relationships.zip BOOK REFERENCED IN THIS VIDEO Genetic Data Analysis for Plant and Animal Breeding link.s...
xGBLUP: Smooth Transition to Complex Genomic-BLUP analyses with ASReml-R (Webinar)
Переглядів 80010 місяців тому
Short breakdown of the key takeaways from the webinar with Dr. Salvador Gezan: - Advanced Statistical Techniques: The webinar delved into the application of advanced statistical techniques, particularly linear mixed models (LMMs), in the context of plant and animal breeding. - Beyond GLUP: Attendees learned how to move beyond traditional Genomic-BLUP (GLUP) analyses, exploring the versatility a...
Computing the G matrix (and its inverse) from marker data in R
Переглядів 65610 місяців тому
Computing the G matrix (and its inverse) from marker data in R
Spatial analysis of a field trial in ASReml R
Переглядів 54211 місяців тому
Spatial analysis of a field trial in ASReml R
ANOVA, Regression or REML in Genstat
Переглядів 1 тис.11 місяців тому
ANOVA, Regression or REML in Genstat
Managing Repeated Measures in the Analysis of Breeding Trials
Переглядів 718Рік тому
Managing Repeated Measures in the Analysis of Breeding Trials
ASReml-R 4.2 - Powerful, flexible, fast analysis for linear mixed models
Переглядів 274Рік тому
ASReml-R 4.2 - Powerful, flexible, fast analysis for linear mixed models
Generalized Linear Modelling in Genstat for the analysis of non-Normal data
Переглядів 507Рік тому
Generalized Linear Modelling in Genstat for the analysis of non-Normal data
Genstat 23 Unveiled - Discover what's new to improve your data analysis capabilities - Watch Now
Переглядів 442Рік тому
Genstat 23 Unveiled - Discover what's new to improve your data analysis capabilities - Watch Now
Unlocking the full potential: Application of Random Regression Models in Plant Breeding (Webinar)
Переглядів 1,2 тис.Рік тому
Unlocking the full potential: Application of Random Regression Models in Plant Breeding (Webinar)
How to fit MET models with complex GxE variance structures for better outcomes
Переглядів 2,1 тис.Рік тому
How to fit MET models with complex GxE variance structures for better outcomes
Let's Talk Data, Let's Talk Blocking (Podcast)
Переглядів 135Рік тому
Let's Talk Data, Let's Talk Blocking (Podcast)
A flexible GWAS modelling workflow with ASReml-R
Переглядів 1,7 тис.Рік тому
A flexible GWAS modelling workflow with ASReml-R
ASRgwas - Accurate and flexible Genome Wide Association analysis with ASReml-R
Переглядів 719Рік тому
ASRgwas - Accurate and flexible Genome Wide Association analysis with ASReml-R
Let's Talk Data, Let's Talk Experimental Design
Переглядів 159Рік тому
Let's Talk Data, Let's Talk Experimental Design
Fitting a multi trait model with ASReml-R 02 Nov 2022
Переглядів 2,1 тис.Рік тому
Fitting a multi trait model with ASReml-R 02 Nov 2022
21:46 exclude checks from estimation of genetic variance component 29:56 site-specific residual variance specification 41:47 factor analytic models
SImple but powerful
How we compute genetic gain using Regression analysis
The presentation is informative. Kindly share the presentation
شرح وافي ياريت تفيدنا بعد فيديوات بخصوص هذا البرنامج
wow very important hint
Can you please tell me how to find ASV and GSI values
yes
This software use in 64 bit System??
Yes indeed it does. You can see the full specifications here genstat.kb.vsni.co.uk/knowledge-base/genstat-minimum-requirements/
Thank you
Thanks to upload this video we will wait for the next one !!
Thank you for the point to point clarification.
You're very welcome Mayuri.
This helped a lot
Really helpful video
Very useful video
Please tell me why does my data on total sum of square come in negative value, in split split plot design?
Nice explanation
Please make a video on graph making in doebioresearch
Nice video. All this can be done in one line using doebioresearch package in R. The name of function is splitplot()
thank for this video cause helpfully. so can you do the new video two treamwnt and three blocks please 🙏🙏🙏?
Hi, after SIM I have 2 markers. When performing CIM, I lose one first round and gain it in the second and cycles between dropping and regaining in subsequent models. Do I leave both in for the final model?
I want to be the number of digits after the interval in the outputs of the program 2 or 3 what is the way if you can
To do that, after running the analysis please go to Analysis of Variance menu window. The Save button is now active, click the button and then select Export to file to save the outputs in the MS excel format which allows you to change the number of the decimal places.
example I need all results 2 decimals . how do that
how determine number of decimals in the output of the result
To do that you would need to save the results and either use PRINT or DECIMALS.
I need linke genstat 18.1