Genotype x environment interaction and yield stability analysis of mung bean (Vigna radiata (L.) Wilczek) genotypes in Northern Ethiopia
The experiment was conducted from 2009–2011 cropping seasons. Six mung bean genotypes viz. SML-668, Black bean, Bored, Local Gofa, SML-32 and Local 2-Sheraro were evaluated to early maturing and high yielding genotypes and the design was RCBD with three replications. The combined analysis of varianc...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2020-01-01
|
Series: | Cogent Food & Agriculture |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/23311932.2020.1729581 |
_version_ | 1818621593155272704 |
---|---|
author | Fiseha Baraki Zenawi Gebregergis Yirga Belay Muez Berhe Haile Zibelo |
author_facet | Fiseha Baraki Zenawi Gebregergis Yirga Belay Muez Berhe Haile Zibelo |
author_sort | Fiseha Baraki |
collection | DOAJ |
description | The experiment was conducted from 2009–2011 cropping seasons. Six mung bean genotypes viz. SML-668, Black bean, Bored, Local Gofa, SML-32 and Local 2-Sheraro were evaluated to early maturing and high yielding genotypes and the design was RCBD with three replications. The combined analysis of variance reviled that there was highly significant variation (p < 0.01) of grain yield among the genotypes, environments and genotype by environment interaction. The genotypic, environmental and the genotype x environment interaction (GIE) accounted about 30.47%, 45.01% and 11.59% of the total variation. The average grain yield of the genotypes was 2008.17 kg/ha. The highest and the lowest mean yield was obtained from SML-668 (2536.47 kg/ha) and SML-32 (1773.59 kg/ha) respectively. The AMMI bi-plot also depicted that, SML-668 and SML-32 were the high yielding and low yielding genotype, respectively. Similar to the AMMI bi-plot, the GGE bi-plot also confirmed that SML-668 was the winning genotype in most of the environments; whereas, SML-32 and local 2-sheraro, were the low yielding genotypes in some or all of the environments. E1, E2 and E6 are discriminating environments and declared as the most representative than E3, E4 and E5. Generally, SML-668 was the ideal genotype with higher mean yield and relatively good stability; Local-2 Sheraro was the moderately good yielding genotype and the most unstable genotype; Whereas, SML-32 was the poorly yielding and unstable genotype. |
first_indexed | 2024-12-16T18:11:44Z |
format | Article |
id | doaj.art-46c0796719cd4768ac569447bd9f5e1c |
institution | Directory Open Access Journal |
issn | 2331-1932 |
language | English |
last_indexed | 2024-12-16T18:11:44Z |
publishDate | 2020-01-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Cogent Food & Agriculture |
spelling | doaj.art-46c0796719cd4768ac569447bd9f5e1c2022-12-21T22:21:45ZengTaylor & Francis GroupCogent Food & Agriculture2331-19322020-01-016110.1080/23311932.2020.17295811729581Genotype x environment interaction and yield stability analysis of mung bean (Vigna radiata (L.) Wilczek) genotypes in Northern EthiopiaFiseha Baraki0Zenawi Gebregergis1Yirga Belay2Muez Berhe3Haile Zibelo4Humera Agricultural Research CenterHumera Agricultural Research CenterHumera Agricultural Research CenterHumera Agricultural Research CenterHumera Agricultural Research CenterThe experiment was conducted from 2009–2011 cropping seasons. Six mung bean genotypes viz. SML-668, Black bean, Bored, Local Gofa, SML-32 and Local 2-Sheraro were evaluated to early maturing and high yielding genotypes and the design was RCBD with three replications. The combined analysis of variance reviled that there was highly significant variation (p < 0.01) of grain yield among the genotypes, environments and genotype by environment interaction. The genotypic, environmental and the genotype x environment interaction (GIE) accounted about 30.47%, 45.01% and 11.59% of the total variation. The average grain yield of the genotypes was 2008.17 kg/ha. The highest and the lowest mean yield was obtained from SML-668 (2536.47 kg/ha) and SML-32 (1773.59 kg/ha) respectively. The AMMI bi-plot also depicted that, SML-668 and SML-32 were the high yielding and low yielding genotype, respectively. Similar to the AMMI bi-plot, the GGE bi-plot also confirmed that SML-668 was the winning genotype in most of the environments; whereas, SML-32 and local 2-sheraro, were the low yielding genotypes in some or all of the environments. E1, E2 and E6 are discriminating environments and declared as the most representative than E3, E4 and E5. Generally, SML-668 was the ideal genotype with higher mean yield and relatively good stability; Local-2 Sheraro was the moderately good yielding genotype and the most unstable genotype; Whereas, SML-32 was the poorly yielding and unstable genotype.http://dx.doi.org/10.1080/23311932.2020.1729581ammi bi-plotmung beangenotype x environment interaction (gei)gge bi-plotstability |
spellingShingle | Fiseha Baraki Zenawi Gebregergis Yirga Belay Muez Berhe Haile Zibelo Genotype x environment interaction and yield stability analysis of mung bean (Vigna radiata (L.) Wilczek) genotypes in Northern Ethiopia Cogent Food & Agriculture ammi bi-plot mung bean genotype x environment interaction (gei) gge bi-plot stability |
title | Genotype x environment interaction and yield stability analysis of mung bean (Vigna radiata (L.) Wilczek) genotypes in Northern Ethiopia |
title_full | Genotype x environment interaction and yield stability analysis of mung bean (Vigna radiata (L.) Wilczek) genotypes in Northern Ethiopia |
title_fullStr | Genotype x environment interaction and yield stability analysis of mung bean (Vigna radiata (L.) Wilczek) genotypes in Northern Ethiopia |
title_full_unstemmed | Genotype x environment interaction and yield stability analysis of mung bean (Vigna radiata (L.) Wilczek) genotypes in Northern Ethiopia |
title_short | Genotype x environment interaction and yield stability analysis of mung bean (Vigna radiata (L.) Wilczek) genotypes in Northern Ethiopia |
title_sort | genotype x environment interaction and yield stability analysis of mung bean vigna radiata l wilczek genotypes in northern ethiopia |
topic | ammi bi-plot mung bean genotype x environment interaction (gei) gge bi-plot stability |
url | http://dx.doi.org/10.1080/23311932.2020.1729581 |
work_keys_str_mv | AT fisehabaraki genotypexenvironmentinteractionandyieldstabilityanalysisofmungbeanvignaradiatalwilczekgenotypesinnorthernethiopia AT zenawigebregergis genotypexenvironmentinteractionandyieldstabilityanalysisofmungbeanvignaradiatalwilczekgenotypesinnorthernethiopia AT yirgabelay genotypexenvironmentinteractionandyieldstabilityanalysisofmungbeanvignaradiatalwilczekgenotypesinnorthernethiopia AT muezberhe genotypexenvironmentinteractionandyieldstabilityanalysisofmungbeanvignaradiatalwilczekgenotypesinnorthernethiopia AT hailezibelo genotypexenvironmentinteractionandyieldstabilityanalysisofmungbeanvignaradiatalwilczekgenotypesinnorthernethiopia |