HOME JOURNALS CONTACT

International Journal of Agricultural Research

Year: 2013 | Volume: 8 | Issue: 1 | Page No.: 49-54
DOI: 10.3923/ijar.2013.49.54
Participatory Evaluation of Adaptability and Morpho-agronomic Performance of Released and on Pipeline High Land Maize Technologies
T. Ayalneh, L. Tesfaye, M. Abinasa and B. Amare

Abstract: Adaptability and agronomic performance test across environments are important in plant breeding. The current study was conducted with the objective to generate information on adaptability and morpho-agronomic performance of maize genotypes through participatory breeding. The experiment were conducted using released and on pipeline maize genotypes with one local check in six different environments (Shanaka, Agarfa, Shallo, Hissu, Gassera and Sinana) in 2005 and 2006 main season. From the two years pooled mean grain yield performance, BH-660 (8.3 ton ha-1) and BH-670 (7.6 ton ha-1) gave, relatively the highest yield, ranked 1st and 2nd, respectively in both years while Kuleni gave the lowest yield and ranked least in both years. The analysis of variance of mean grain yield (ton ha-1) of seven varieties and one local check tested in six environments showed that 39.0, 40.2 and 20.8% of the total sum of squares were attributed to environment, genotype and genotype X environment interaction effects, respectively. From the AMMI analysis results, the lowest Principal Components Analysis-1 (PCA1) scores were observed in genotype G4 (0.03), followed by G1 (0.10) and G2 (0.12) but in case of Interaction Principal Components Analysis-2 (IPCA2) the lowest score showed by G6 (0.13), followed by G5 (0.17) and G8 (0.31). In general, the study showed the importance of participatory plant breeding, genotype adaptation test across environment and the effects of environments.

Fulltext PDF Fulltext HTML

How to cite this article
T. Ayalneh, L. Tesfaye, M. Abinasa and B. Amare, 2013. Participatory Evaluation of Adaptability and Morpho-agronomic Performance of Released and on Pipeline High Land Maize Technologies. International Journal of Agricultural Research, 8: 49-54.

Related Articles:
© Science Alert. All Rights Reserved