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    Exploring genotype by environment interaction on cassava yield and yield related traits using classical statistical methods

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    Journal Article (3.020Mb)
    Date
    2022
    Author
    Bakare, M.A.
    Kayondo, S.I.
    Aghogho, C.I.
    Wolfe, M.
    Parkes, E.
    Kulakow, P.
    Egesi, C.
    Rabbi, I.Y.
    Jannink, J.
    Type
    Journal Article
    Review Status
    Peer Review
    Target Audience
    Scientists
    Metadata
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    Abstract/Description
    Variety advancement decisions for root quality and yield-related traits in cassava are complex due to the variable patterns of genotype-by-environment interactions (GEI). Therefore, studies focused on the dissection of the existing patterns of GEI using linear-bilinear models such as Finlay-Wilkinson (FW), additive main effect and multiplicative interaction (AMMI), and genotype and genotype-by-environment (GGE) interaction models are critical in defining the target population of environments (TPEs) for future testing, selection, and advancement. This study assessed 36 elite cassava clones in 11 locations over three cropping seasons in the cassava breeding program of IITA based in Nigeria to quantify the GEI effects for root quality and yield-related traits. Genetic correlation coefficients and heritability estimates among environments found mostly intermediate to high values indicating high correlations with the major TPE. There was a differential clonal ranking among the environments indicating the existence of GEI as also revealed by the likelihood ratio test (LRT), which further confirmed the statistical model with the heterogeneity of error variances across the environments fit better. For all fitted models, we found the main effects of environment, genotype, and interaction significant for all observed traits except for dry matter content whose GEI sensitivity was marginally significant as found using the FW model. We identified TMS14F1297P0019 and TMEB419 as two topmost stable clones with a sensitivity values of 0.63 and 0.66 respectively using the FW model. However, GGE and AMMI stability value in conjunction with genotype selection index revealed that IITA-TMS-IBA000070 and TMS14F1036P0007 were the top-ranking clones combining both stability and yield performance measures. The AMMI-2 model clustered the testing environments into 6 mega-environments based on winning genotypes for fresh root yield. Alternatively, we identified 3 clusters of testing environments based on genotypic BLUPs derived from the random GEI component.
    https://dx.doi.org/10.1371/journal.pone.0268189
    Multi standard citation
    Permanent link to this item
    https://hdl.handle.net/20.500.12478/7619
    IITA Authors ORCID
    E J Parkeshttps://orcid.org/0000-0003-4063-1483
    Peter Kulakowhttps://orcid.org/0000-0002-7574-2645
    Chiedozie Egesihttps://orcid.org/0000-0002-9063-2727
    Ismail Rabbihttps://orcid.org/0000-0001-9966-2941
    Digital Object Identifier (DOI)
    https://dx.doi.org/10.1371/journal.pone.0268189
    Research Themes
    Biotech and Plant Breeding
    IITA Subjects
    Agronomy; Cassava; Food Security; Genetic Improvement; Plant Breeding; Plant Genetic Resources; Plant Production
    Agrovoc Terms
    Cassava; Varieties; Genotypes; Food Security; Food Crops; Nigeria
    Regions
    Africa; West Africa
    Countries
    Nigeria
    Hubs
    Headquarters and Western Africa Hub
    Journals
    PLoS ONE
    Collections
    • Journal and Journal Articles4835
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