Evaluation of advanced sorghum (Sorghum bicolor L. Moench) hybrid genotypes for grain yield in moisture stressed areas of Ethiopia

Abstract

Sixty two advanced hybrid sorghum varieties were evaluated in three environments, Kobo (KB), Sheraro (SH) and Mieso (MS) during 2019 of the main season. The objective of this study was to evaluate sorghum hybrids for production in drought stressed areas of Ethiopia. The experiment was piloted using a randomized complete block design with two replications. The result of over sites showed for grain yield, environments, environment by block and genotype by environment interaction effect highly signifi cant variability among the genotypes. These point out that the variability among varieties and highly diverse growing situations across these three environments and vital in governing the expression of these traits. Signifi cant genotype interaction by environment resulted either from differential responses of the variety or the test environments were highly signifi cant (P ≤ 0.001). Out of 62 genotypes, G52, G47 and G38 were with near zero IPCA scores and hence have less interaction with the environments. Out of which only G47 and G52 had above average yield performance. Among environments, SH exhibited near zero IPCA1 score and hence had small interaction effects among environments, indicating that all the genotypes performed well in this location. So, it is the most favorable environments for most genotypes while MS and KB were good for only few genotypes. Genotypes, G36, G49, G37, G12, G68 and G6 generally exhibited high yield of positive IPCA1 score, from which G28, G55 and G34 had high IPCA1 scores in which G55 and G28 being the overall best genotype. Hence, the G55 and G28 were identifi ed as specially adapted and the highest yielding genotype to the corresponding environments. Generally, G33 can be recommended for specifi c adaptation whereas, G55 and G28 relatively for wider adaptation.

Performance Evaluation of Different Sorghum Genotypes (Sorghum bicolour (L.) Moench) Using GGE Bi-plot Stability Analysis

“…The study was showed using eighty-four hybrid lines across six locations to identify the most stable and high yielding genotypes. The results specified that yield performance of sorghum genotypes were influenced by genotype, the environments and GEI effect [15]. Similarly, the study as showed using eighty-four hybrid lines across six locations to identify the most stable and high yielding genotypes.…”

“…Desert locust infestation in different part of country [14]. Lack of high yield and stable varieties across diverse environments is a challenge of sorghum production yield loss in Ethiopia [15]. Also, the yield potential of variety on the farmer field and on research station varies which impact on yield reduction.…”