VSN International
VSN International
  • Видео 129
  • Просмотров 202 963
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, do...
Просмотров: 179

Видео

Simultaneous Modelling of Multi-Trait and Multi-Environment Structures with ASReml-R
Просмотров 7496 месяцев назад
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)
Просмотров 4598 месяцев назад
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
Просмотров 905Год назад
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)
Просмотров 918Год назад
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
Просмотров 744Год назад
Computing the G matrix (and its inverse) from marker data in R
GBLUP using ASReml-R 4
Просмотров 1,4 тыс.Год назад
GBLUP using ASReml-R 4
Spatial analysis of a field trial in ASReml R
Просмотров 655Год назад
Spatial analysis of a field trial in ASReml R
A guided tour of ASReml SA
Просмотров 300Год назад
A guided tour of ASReml SA
ANOVA contrasts
Просмотров 746Год назад
ANOVA contrasts
ANOVA, Regression or REML in Genstat
Просмотров 1,2 тыс.Год назад
ANOVA, Regression or REML in Genstat
Discover ASReml R 4 2
Просмотров 113Год назад
Discover ASReml R 4 2
Managing Repeated Measures in the Analysis of Breeding Trials
Просмотров 765Год назад
Managing Repeated Measures in the Analysis of Breeding Trials
ASReml-R 4.2 - Powerful, flexible, fast analysis for linear mixed models
Просмотров 291Год назад
ASReml-R 4.2 - Powerful, flexible, fast analysis for linear mixed models
Generalized Linear Modelling in Genstat for the analysis of non-Normal data
Просмотров 568Год назад
Generalized Linear Modelling in Genstat for the analysis of non-Normal data
PCA clustering
Просмотров 1,6 тыс.Год назад
PCA clustering
Discover the power of Genstat 23
Просмотров 125Год назад
Discover the power of Genstat 23
Mosaic plots
Просмотров 370Год назад
Mosaic plots
2D trellis plots of groups
Просмотров 61Год назад
2D trellis plots of groups
Censored poisson count data
Просмотров 182Год назад
Censored poisson count data
Genstat 23 Unveiled - Discover what's new to improve your data analysis capabilities - Watch Now
Просмотров 468Год назад
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)
Просмотров 1,3 тыс.Год назад
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
Просмотров 2,3 тыс.Год назад
How to fit MET models with complex GxE variance structures for better outcomes
Let's Talk about Power in Data
Просмотров 153Год назад
Let's Talk about Power in Data
Let's Talk Data, Let's Talk Blocking (Podcast)
Просмотров 135Год назад
Let's Talk Data, Let's Talk Blocking (Podcast)
A flexible GWAS modelling workflow with ASReml-R
Просмотров 1,9 тыс.Год назад
A flexible GWAS modelling workflow with ASReml-R
ASRgwas - Accurate and flexible Genome Wide Association analysis with ASReml-R
Просмотров 762Год назад
ASRgwas - Accurate and flexible Genome Wide Association analysis with ASReml-R
Let's Talk Data, Let's Talk Experimental Design
Просмотров 159Год назад
Let's Talk Data, Let's Talk Experimental Design
Let's Talk Data Podcast,
Просмотров 135Год назад
Let's Talk Data Podcast,
Fitting a multi trait model with ASReml-R 02 Nov 2022
Просмотров 2,3 тыс.Год назад
Fitting a multi trait model with ASReml-R 02 Nov 2022

Комментарии

  • @queequegonpequod
    @queequegonpequod 4 месяца назад

    21:46 exclude checks from estimation of genetic variance component 29:56 site-specific residual variance specification 41:47 factor analytic models

  • @peterkunbo1
    @peterkunbo1 4 месяца назад

    SImple but powerful

  • @sefawdinberta4515
    @sefawdinberta4515 Год назад

    How we compute genetic gain using Regression analysis

  • @drchinmoymishra
    @drchinmoymishra Год назад

    The presentation is informative. Kindly share the presentation

  • @TibaaAlmiahyarkan
    @TibaaAlmiahyarkan Год назад

    شرح وافي ياريت تفيدنا بعد فيديوات بخصوص هذا البرنامج

  • @ferejashaka9654
    @ferejashaka9654 Год назад

    wow very important hint

  • @garimathakur3424
    @garimathakur3424 Год назад

    Can you please tell me how to find ASV and GSI values

  • @yvetteburtworthington2540
    @yvetteburtworthington2540 Год назад

    yes

  • @abdulmunaf165
    @abdulmunaf165 2 года назад

    This software use in 64 bit System??

    • @vsninternational
      @vsninternational 2 года назад

      Yes indeed it does. You can see the full specifications here genstat.kb.vsni.co.uk/knowledge-base/genstat-minimum-requirements/

  • @mrblackmamba117
    @mrblackmamba117 2 года назад

    Thank you

  • @mdmoniruzzamanirribd150
    @mdmoniruzzamanirribd150 2 года назад

    Thanks to upload this video we will wait for the next one !!

  • @mayuriank9475
    @mayuriank9475 2 года назад

    Thank you for the point to point clarification.

  • @Mpumzar
    @Mpumzar 3 года назад

    This helped a lot

  • @fourthpillar604
    @fourthpillar604 3 года назад

    Really helpful video

  • @uttarayandasgupta4485
    @uttarayandasgupta4485 3 года назад

    Very useful video

  • @AGRIAGROINFOPOINT
    @AGRIAGROINFOPOINT 3 года назад

    Please tell me why does my data on total sum of square come in negative value, in split split plot design?

  • @laxmibiradar774
    @laxmibiradar774 3 года назад

    Nice explanation

  • @vikassingh-ed3jd
    @vikassingh-ed3jd 3 года назад

    Please make a video on graph making in doebioresearch

  • @josephchavda4589
    @josephchavda4589 4 года назад

    Nice video. All this can be done in one line using doebioresearch package in R. The name of function is splitplot()

  • @teofilogomes9850
    @teofilogomes9850 4 года назад

    thank for this video cause helpfully. so can you do the new video two treamwnt and three blocks please 🙏🙏🙏?

  • @randomname4825
    @randomname4825 4 года назад

    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?

  • @alimelli6300
    @alimelli6300 6 лет назад

    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

    • @vsninternational
      @vsninternational 6 лет назад

      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.

  • @alimelli6300
    @alimelli6300 6 лет назад

    example I need all results 2 decimals . how do that

  • @alimelli6300
    @alimelli6300 6 лет назад

    how determine number of decimals in the output of the result

    • @vsninternational
      @vsninternational 6 лет назад

      To do that you would need to save the results and either use PRINT or DECIMALS.

  • @alimelli6300
    @alimelli6300 6 лет назад

    I need linke genstat 18.1