Statistical analysis can estimate crop performance

(Press-News.org) Madison, WI December 23, 2010 – Scientists at Rothamsted Research, United Kingdom, in collaboration with the International Center for Agriculture Research in the Dry Areas (ICARDA), Syria have developed a method of accounting for spatial trend in single crop field trials. Spatial trend refers to the variations in crop yield and other characteristics observed when repeating this single crop field trial.

Usually plant breeders will grow several replicate plots to assess the breed line in different environments and then compare the results to commercial or standard varieties of the crop. When resources or seed are scarce, breeders will grow only a single plot of a test line alongside a number of other standard varieties acting as check plots.

"The results have shown that adjustment for spatial trend within the trials is possible and gives improved accuracy on the estimates of line performance," says Sue Welham, one of the authors of the study.

A crop developed by Dr. Miloudi Nachit at ICARDA was used to illustrate spatial trend in this particular experimental design. The teams then used simulations to further demonstrate the dramatic increase in precision in estimating the performance of a line while adjusting for spatial trend. However, these measurements are not without their flaws.

According to Welham, "One drawback to the use of spatial adjustment is the possible subjectivity and difficulty in the choice of a model."

INFORMATION: Collaborative efforts are continuing at both facilities and the full paper is available in the November-December 2010 Issue of Agronomy Journal.

The full article is available for no charge for 30 days following the date of this summary. View the abstract at https://www.agronomy.org/publications/aj/abstracts/102/6/1542.

A peer-reviewed international journal of agriculture and natural resource sciences, Agronomy Journal is published six times a year by the American Society of Agronomy, with articles relating to original research in soil science, crop science, agroclimatology and agronomic modeling, production agriculture, and software. For more information visit: www.agronomy.org/publications/aj

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