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RESEARCH ARTICLE

Approaches to rationalising selection of test environments for on-farm lentil variety trials in Mediterranean rainfed cropping systems

A. Sarker A C , M. Singh A , F. El-Ashkar B , W. Erskine A and E. De-Pauw A
+ Author Affiliations
- Author Affiliations

A International Center for Agricultural Research in the Dry Areas (ICARDA), PO Box 5466, Aleppo, Syria.

B General Commission for Scientific Agricultural Research (GCSAR), Douma, Syria.

C Corresponding author. Email: A.Sarker@cgiar.org

Australian Journal of Agricultural Research 58(4) 335-341 https://doi.org/10.1071/AR05418
Submitted: 27 November 2005  Accepted: 3 November 2006   Published: 12 April 2007

Abstract

This study focused on various approaches to rationalising the selection of test environments using on-farm trial data from 5 lentil (Lens culiniaris Medikus subsp. culinaris) genotypes. It was conducted over 3 years in 30 environments across 16 locations in Syria. There was maximum discrimination in the ratio of between-cluster to within-cluster variances, based on genotype yield responses to the environments. Four clusters represented the test locations, reflecting a gradient in the levels of yield and seasonal rainfall. We observed significant genotypic differences and genotype × environment interactions. Genotype × cluster interaction accounted for a substantial portion of the genotype × environment interaction. This supported a reduction in the number of test locations to evaluate genotype and environment interaction. Temporal interactions were either low or insignificant. The improved lines produced stable and significantly higher yields than the local cultivar. The structure of the clusters formed indicated the presence of research stations in each cluster. We recommend that locations for future on-farm testing should include one research location and a farmer field in each cluster (or the mega-zone) so formed. Climatic variables or geographical nearness cannot replace the role of genotype response when rationalising test locations.

Additional keywords: location, clustering, yield.


Acknowledgments

The authors sincerely thank anonymous reviewers for their critical comments and suggestions, which improved the manuscript substantially. Authors also thank Dr S. Ceccarelli and Dr A. Osman of ICARDA, and Mr James Falaiye, ICARDA, for reviewing and editing an earlier version of the manuscript, and Mrs Wafa Al-Jumma for providing the GIS information.


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