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Plant Science

How Plant Analyses Lead to Optimised Outcomes in Plant Science


Genstat has a long history dating back to 1968 and was born from the requirement for better plant science data analysis. The package 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 plant breeding programmes.

Genstat includes comprehensive linear mixed model facilities for modelling field and multi-environment trial (MET) data, and decision support tools for automating the analysis of spatial data from a single trial or a series of trial data. Popular among plant breeders using Genstat is the suite of procedures for statistical genetics, including genomic prediction (or genomic selection) and selection indexes. You can explore the phenotypic performance of plant genotype in different environments using GGE biplots, AMMI models, Finlay & Wilkinson joint regression analysis and/or stability coefficients. 

In addition to these main features used by plant scientists, Genstat also offers; 

  • QTL to identify the genetic factors underlying phenotypic variation in plants using QTL linkage analysis, or association linkage disequilibrium (LD) mapping from a genome-wide association study (GWAS). 
  • Tools to generate robust and efficient experimental designs, including randomised block, split-plot, row-column and cyclic designs for field trials and laboratory experiments 
  • Analysis of variance for comparing treatment or cultivar means 
  • Plus many, many more

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.

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