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Welcome to VSNi blogs

    • Blog

    Never accept the null hypothesis: It’s both wrong and dangerous!

    Discover the critical implications of accepting the null hypothesis in hypothesis testing. Explore the dangers of misinterpreting non-significant...
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    • Blog, Statistics and Computing

    Which-won-where? GGE biplots in Genstat

    As soon as we get plant breeding data from a multi-environment trial (MET), we start asking the question,...
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    • Blog, Statistics and Computing

    What are A, G and H matrices and when do we use them?

    My colleague, Amanda Avelar de Oliveira, gave a presentation on ASRgenomics in which she talked a lot about...
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    • ASReml, Blog

    With the release of ASReml 4.2, has the best just got better?

    Linear mixed models are broadly used to analyse different types of data produced by a wide variety of...
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    • Blog, Breeding / Quantitative Genetics, Design of Experiments, Statistics and Computing

    Precision, power, performance: the power of blocking in statistical experiments

    When conducting an experiment, an important consideration is how to even out the variability among the experimental units...
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    • Blog

    Pearson Correlation vs Simple Linear Regression

    Explore the captivating relationship between Pearson correlation and simple linear regression in this statistical blog. Discover their similarities,...
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    • Blog, Statistics and Computing

    Decoding hypothesis testing: investigating type I and type II errors

    Hypothesis testing is the art of making decisions using data. It involves evaluating two mutually exclusive statements....
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    • Blog, Breeding / Quantitative Genetics

    Unlocking the genomic puzzle: the power of phenotype-genotype synergy

    I recently read a very interesting opinion piece published in The Guardian....
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    • ASReml, Blog, Breeding / Quantitative Genetics

    Accounting for spatial heterogeneity in plant breeding field trials: a path of no return

    Some statistical approaches can cope with spatial heterogeneity in different ways, but special attention must be given to...
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    • Blog, Statistics and Computing

    The power of confidence intervals: beyond p-values

    P-values are used to assess whether there is sufficient evidence of an effect....
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    • Blog, Breeding / Quantitative Genetics, Plant/Agronomy

    Predicting genotype potential: insights from multi-environment trials

    Predicting the performance of novel plant genotypes in different environments is essential for developing cultivars with superior, economically...
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