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Genotype by environment interaction, correlation, AMMI, GGE biplot and cluster analysis for grain yield and other agronomic traits in sorghum (Sorghum bicolor L. Moench)

Enyew, Muluken Birara and Feyissa, Tileye and Geleta, Mulatu Dida and Tesfaye, Kassahun and Hammenhag, Cecilia and Carlsson, Anders S. (2021). Genotype by environment interaction, correlation, AMMI, GGE biplot and cluster analysis for grain yield and other agronomic traits in sorghum (Sorghum bicolor L. Moench). PLoS ONE. 16 :10 , e0258211
[Research article]

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Abstract

Genotype by environment (GxE) interaction is a major factor limiting the success of germplasm selection and identification of superior genotypes for use in plant breeding programs. Similar to the case in other crops, GxE complicates the improvement of sorghum, and hence it should be determined and used in decision-making programs. The present study aimed at assessing the GxE interaction, and the correlation between traits for superior sorghum genotypes. Three hundred twenty sorghum landraces and four improved varieties were used in alpha lattice experimental design-based field trial across three environments (Melkassa, Mieso and Mehoni) in Ethiopia. Phenotypic data were collected for days to flowering (DTF), plant height (PH), panicle length (PALH), panicle width (PAWD), panicle weight (PAWT) and grain yield (GY). The results revealed that the variance due to genotype, environment and GxE interaction were highly significant (P < 0.001) for all traits. GY and PAWT were highly affected by environments and GxE whereas DTF, PALH, PAWD and PH were mainly affected by genotypic variation. Therefore, multi-environment testing is needed for taking care of G x E interaction to identify high yielding and stable sorghum landraces. GY and PAWT revealed highly significant positive correlations indicating the possibility of effective selection of the two traits simultaneously. Among the studied populations, South Wello, West Hararghe and Shewa zones had highly diverse genotypes that were distributed across all clusters. Hence, these areas can be considered as hotspots for identifying divergent sorghum landraces that could be used in breeding programs. Melkassa was the most representative environment whereas Mieso was the most discriminating. Five genotypes (G148, G123, G110, G203 and G73) were identified as superior across the test environments for grain yield with farmer-preferred trait, such as plant height. The identified stable and high yielding genotypes are valuable genetic resources that should be used in sorghum breeding programs.

Authors/Creators:Enyew, Muluken Birara and Feyissa, Tileye and Geleta, Mulatu Dida and Tesfaye, Kassahun and Hammenhag, Cecilia and Carlsson, Anders S.
Title:Genotype by environment interaction, correlation, AMMI, GGE biplot and cluster analysis for grain yield and other agronomic traits in sorghum (Sorghum bicolor L. Moench)
Series Name/Journal:PLoS ONE
Year of publishing :2021
Volume:16
Number:10
Article number:e0258211
Number of Pages:22
Publisher:PUBLIC LIBRARY SCIENCE
ISSN:1932-6203
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Agricultural Science
URN:NBN:urn:nbn:se:slu:epsilon-p-115613
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-115613
Additional ID:
Type of IDID
DOI10.1371/journal.pone.0258211
Web of Science (WoS)000733418800034
ID Code:26920
Faculty:LTV - Fakulteten för landskapsarkitektur, trädgårds- och växtproduktionsvetenskap
Department:(LTJ, LTV) > Department of Plant Breeding (from 130101)
Deposited By: SLUpub Connector
Deposited On:07 Feb 2022 15:25
Metadata Last Modified:07 Feb 2022 15:31

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