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<article>
<title><b>Identification of the stable mungbean variety through GGE biplot analysis from the </b><b>two mega environments</b> <b>of North Western of Amhara region of Ethiopia</b></title>
<authors>Anteneh Adebabay, Abebe Hailu, Tesfaye Jorgi, Daniel Admasu , Mekdes Abebe, Getachew Asmare, Tesfa Kasahun, Semachew Yedemie </authors>
<keywords>Mungbean, high yield, stable, environment, GGE biplot</keywords>
<pages>85-93</pages>
<issue_number>4 (2) 2020    </issue_number>
<issue_period>April 2020</issue_period>
<abstract>Mungbean production in Ethiopia has promising progress and it is one of exporting pulse crop and it is an alternative pulse crop for crop rotation to buildups soil fertility. Efforts were made to select a wide adaptable genotype among the entire tested genotype or to recommend each genotype for the exact area in different mega zones through GGE biplot analysis. This study was conducted at with five varieties at four location for two years during 2016 and 2017 cropping season each location and each cropping season comprising totally twelve environments in the North-Western Amhara region, to decide the adaptability of released varieties with stable performance across the environments. Highly significant differences among the varieties were well as for variety x environment interactions was observed in the present study. Among the tested genotype for the all the locations the highest yielding mungbean variety was Rasa which yielded a mean yield of 1848 kg ha<sup>-1</sup> The stable variety across the environment was Rasa among the tested variety and two mega environments is classified, on the first mega environment classification includes three environments and the leading variety were NLV-1 while the second mega environments classification includes nine environment Rasa and Boreda was the high yielding variety.</abstract>
</article>
