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Welcome to VSNi blogs

    • H3 Analytics, Plant/Agronomy, Statistics and Computing

    In Conversation with Fred van Eeuwijk: Insights on GxExM and the Upcoming Symposium

    As the world of plant breeding evolves, the intersection of genetics and environmental factors has become increasingly significant....
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    • Genstat, News

    Dr. Roger Payne: Celebrating a Career of Statistical Innovation at VSNi

    We at VSNi are reflecting on the remarkable career of Dr. Roger Payne, whose work has shaped the...
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    • Blog, Genstat, Statistics and Computing

    The Single Batch Problem: Unseen Limitations in Experimental Design

    Experimental design limitations can significantly impact research outcomes. Recently, while analysing data from a trial studying the effectiveness...
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    • Blog, Breeding / Quantitative Genetics, Plant/Agronomy, Uncategorized

    Benefits of Incorporating the Pedigree in Genetic Data Analysis

    In genetic analyses, the incorporation of pedigree information in models plays a crucial role in accurately estimating, for...
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    • Blog, Breeding / Quantitative Genetics

    Leveraging Open Pollination Data for Advancing Genomic Selection in Forestry Genetics

    Forestry genetics plays a pivotal role in shaping the future of our forests, influencing their resilience, productivity, and...
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    • Genstat, Statistics and Computing

    Top 5 Must-Have Features for Effective Statistical Analysis

    Effective statistical analysis demands a powerful toolset that combines data visualization, robust data handling, cutting-edge methods, user-friendliness, and...
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    • Case Studies

    Enhancing agronomic research through precise statistical analysis

    Deben Agronomy is dedicated to giving potato and vegetable growers the right guidance to grow better crops. They...
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    • ASReml, Breeding / Quantitative Genetics, Statistics and Computing

    The Power of GWAS with ASReml-R

    Uncovering which genes are associated with specific traits is highly valuable for researchers and breeding programs. This allows...
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    • ASReml, Breeding / Quantitative Genetics, Plant/Agronomy

    Mastering Multi-Environment Trials (MET) Analysis

    Multi-environment trial (MET) analyses are crucial for breeding programmes as they allow researchers to combine multiple trials or...
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    • ASReml

    Still not optimising your breeding program with genomic prediction?

    Genomic prediction is a powerful statistical technique that uses genetic markers, typically single nucleotide polymorphisms (SNPs), to predict...
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    • CycDesigN, Genstat

    10 Ways Good Experimental Design Can Save You Money and Time

    magine embarking on a research journey without a map or compass – each step uncertain, every result questionable....
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