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Entomology
Data Analysis for Entomology
The importance of studying insect biology and behaviour cannot be overstated. With more than one million different species of identified insects, these are the most abundant group of animals on earth. From the cultivation of silkworms that began around 4700 BCE in China until the present day, insects are part of our daily life.
Entomologists have made enormous contributions to our understanding of insects and their relationship with the environment, disease, agriculture, biological diversity, evolution, and many other fields. In agriculture, insects can be beneficial as pollinators and decomposers, but they are also the vector of many human, animal and plant diseases. As a company that specialises in the life sciences, VSNi is ideally placed to ensure accurate research and analysis of your entolomogical data.
How Can Data Science Advance Entomology Research?
For over 20 years VSNi has developed a range of data and analytics software to support scientists, researchers and breeders within the biosciences. Designed by statisticians with non-statisticians in mind, our products are ideal for users looking for exceptional decision-making tools that are able to accommodate increasingly large and complex datasets.
With thousands of analyses, procedures and directives, a single page isn’t nearly enough to show off what our software can do. The following is a small sample of some of the possibilities:
- Design experiments and plan insect monitoring systems
- Analysis of variance to compare varieties and species
- REML facilities to model patterns in species abundance
- Hierarchical generalized linear models to evaluate random effects
- Generalized linear modelling
- Cluster analysis to provide similarities of species composition
- GLMM appropriate for uncorrelated residuals
- Easy data uploads to produce an array of visual data and graphics
- Spatial analysis using REML
Our software provides all the tools you need to bring viable research and top-class analyses to your sector. You can:
- Analyse large, complex datasets easily and efficiently
- Assist in defining factors that affect your research
- Define key traits to help you discover multitrophic interactions
- Discover patterns in vast sets of data • Illustrate genetic correlations
- Integrate agricultural, ecological and climatic data
- Carry out graphical exploration and presentation of data
Our Entomology Software Solutions
At VSNi, we have easy to use statistical software to help your entomology research thrive. We also have fully documented user guides, knowledge bases and video tutorials, making VSNi’s products easy to learn – but should you need more assistance you can even get help directly from the team who developed the software (us!).
Genstat
Genstat provides an easy-to-use environment where only a few instructions or selections from the options menu are needed to undertake simple or more complex analyses, bringing reliable and accurate analytics to your entomology research.
For those in the entomology sector, Genstat offers multivariate methods for analysing and interpreting biological and environmental entomological data, including principal components analysis, multi-dimensional scaling, correspondence analysis, canonical correlation analysis, discriminant analysis and cluster analysis.
The Ecology menu in Genstat is widely used and provides tools for investigating and modelling species abundance, calculating diversity indices and estimating the number of species.
Generalised linear models (GLMs) can be used for analysing non-Normal data, such as counts and proportions
AsReml
ASReml is powerful statistical software specially designed for mixed models using Residual Maximum Likelihood (REML). ASReml offers comprehensive linear mixed model facilities for analysing spatial and repeated measures data. ASReml can be used to fit multi-environmental trial analyses with complex variance structures, allowing for better use and understanding of environmental interaction.Â
You can choose either ASReml-SA as a stand-alone tool, or ASReml-R to work in an R environment. Linear mixed-effects models provide a rich and flexible tool for the analysis of many data sets commonly arising in entomology sciences. ASReml is used in research worldwide for its reliability, speed and efficiency when making sense of large, often messy data sets.
Genstat provides an easy-to-use environment where only a few instructions or selections from the options menu are needed to undertake simple or more complex analyses, bringing reliable and accurate analytics to your entomology research.
For those in the entomology sector, Genstat offers multivariate methods for analysing and interpreting biological and environmental entomological data, including principal components analysis, multi-dimensional scaling, correspondence analysis, canonical correlation analysis, discriminant analysis and cluster analysis.
The Ecology menu in Genstat is widely used and provides tools for investigating and modelling species abundance, calculating diversity indices and estimating the number of species.
Generalised linear models (GLMs) can be used for analysing non-Normal data, such as counts and proportions
ASReml is powerful statistical software specially designed for mixed models using Residual Maximum Likelihood (REML). ASReml offers comprehensive linear mixed model facilities for analysing spatial and repeated measures data. ASReml can be used to fit multi-environmental trial analyses with complex variance structures, allowing for better use and understanding of environmental interaction.Â
You can choose either ASReml-SA as a stand-alone tool, or ASReml-R to work in an R environment. Linear mixed-effects models provide a rich and flexible tool for the analysis of many data sets commonly arising in entomology sciences. ASReml is used in research worldwide for its reliability, speed and efficiency when making sense of large, often messy data sets.
Case Studies
Our analytics software and consulting services are chosen by seed, plant, aqua and animal breeding companies worldwide to support and inform the development of new varieties, strains, stocks and breeds.
Enhancing agronomic research through precise statistical analysis with Genstat
Deben Agronomy is dedicated to giving potato and vegetable growers…
Elephants and Bees Project: conservation with added benefits
The conservation of the African elephant provides tremendous opportunities for simultaneously conserving…
KWS: supplying seeds to the farming industry
KWS is one of the world’s leading suppliers of seeds to the farming industry and it is therefore no surprise that research into plant breeding and seeds is a crucial part…
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Need a statistics tool for entomology?
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