Using SHHM model for clustering test environments of lentil in multi-environmental trials

Rahmatollah Karimizadeh, Mohtasham Mohammadi

Abstract


Lentil (

Lens culinaris

Medik.) as a rich source of protein for human consumption is the fourth most important pulse crop in the world.

Genotype environment (GE) interaction is observed in lentil like to the other crops performance trials and is an important issue for

plant breeders. Eighteen lentil genotypes were evaluated under rainfed conditions using a randomized complete block design with 4

replications for 3 years and at 4 different locations. GE interaction was analyzed using clustering techniques. There was considerable

variation for grain yield among both genotypes and environments based on combined ANOVA. Also, combined analysis of variance

indicated that three way interaction (GYL) or GE interaction was highly significant. The high significance of GE interactions is

indicating the studied genotypes exhibited both crossover and non-crossover types of GE interaction. According to dendogram of

SHMM, we found two environmental groups; cluster II, test environments Gorgan and Moghan locations; and cluster III test

environments Gachsaran and Lorestan. Also, we found that Gorgan and Moghan locations as well as Gachsaran and Lorestan locations

were relatively homogeny environments with non-crossover GE interaction. Such an outcome could be regularly applied in the future to

exploration lentil genotypes and other crops based on regression or ANOVA models in the other areas of the world.


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