The variety predictions obtained from such an analysis, and subsequently reported to growers, are typically on a long-term regional basis. The most commonly used approach involves a variance component model that includes variety and environment main effects, and variety by environment ( V × E) interaction effects. Despite major advances in the statistical analysis of multi-environment trial data, such methodology has not been adopted within national variety testing programs. Within each program, data are combined across locations and seasons, and analysed in order to provide information to assist growers in choosing the best varieties for their conditions. Crop variety testing programs are conducted in many countries world-wide.
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