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    Evaluation of the pasting characteristics of cassava roots grown in different locations in Nigeria from the Genetic Gain Assessment trial

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    Journal Article (1005.Kb)
    Authors
    Alamu, E.O.
    Maziya-Dixon, B.
    Dixon, A.
    Date Issued
    2022-10
    Date Online
    2022-10
    Language
    en
    Type
    Journal Article
    Review status
    Peer Review
    ISI journal
    Accessibility
    Open Access
    Usage rights
    CC-BY-4.0
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    Citation
    Alamu, E.O., Maziya-Dixon, B. & Dixon, A. (2022). Evaluation of the pasting characteristics of cassava roots grown in different locations in Nigeria from the Genetic Gain Assessment trial. Frontiers in Sustainable Food Systems, 6: 1012410: 1-11.
    Permanent link to cite or share this item: https://hdl.handle.net/10568/125345
    DOI: https://doi.org/10.3389/fsufs.2022.1012410
    Abstract/Description
    The cooking quality, especially the pasting properties, is essential in cassava starch applications or successfully utilizing cassava in food industries and at the household level. This study evaluated the cassava roots from the Genetic Gain Assessment trial grown in three locations for dry matter (DM) and the pasting characteristics. Four hundred cassava genotypes were planted under IVS (Dry season in Inland Valley Hydromorphic area) and Upland (rain-fed conditions) trials at IITA Research Farms, Nigeria. The harvested cassava roots (12 months after planting) were analyzed for DM, and the dried-milled roots were analyzed for pasting properties using standard laboratory methods. The DM ranged from 25.04 to 38.72%, with a mean of 31.97 ± 2.41%. The pasting properties (peak, trough, breakdown, setback and final viscosities) ranged from 140.36–570.93 RVU (mean 241.71 ± 38.17), 6.74–173.32 RVU (mean 96.65 ± 23.45), 66.97–482.35 RVU (mean 142.44 ± 30.16), 60.06–231.74RVU (mean 134.42 ± 30.52), and 5.22–135.69 RVU (mean 37.78 ± 12.96), respectively. The genotypes had no significant effect (P > 0.05) on the DM and pasting properties, but the growing location showed a highly significant effect (P < 0.05) on all the parameters studied. The cluster analysis grouped the genotypes into 2 clusters where clusters 1 and 2 had 115 and 285 genotypes, respectively. Knowing the impact of genotype and grown location on the pasting behavior could help the breeders select the best genotypes with excellent qualities that could adapt to different environments and identify the suitable growing area for the best cooking quality.
    CGIAR Author ORCID iDs
    Alamu Emmanuel Oladeji (PhD, FIFST, MNIFST)https://orcid.org/0000-0001-6263-1359
    Busie Maziya-Dixonhttps://orcid.org/0000-0003-2014-2201
    CGIAR Impact Areas
    Nutrition, health and food security
    Other CGIAR Affiliations
    Agriculture for Nutrition and Health; Maize; Roots, Tubers and Bananas
    Contributes to SDGs
    SDG 2 - Zero hunger
    AGROVOC Keywords
    cassava; roots; genotypes; dry matter; cooking; nigeria
    Subjects
    AGRONOMY; CASSAVA; FOOD SECURITY; PLANT PRODUCTION; VALUE CHAINS
    Countries
    Nigeria
    Regions
    Africa; Eastern Africa; Western Africa
    Organizations Affiliated to the Authors
    International Institute of Tropical Agriculture
    Investors/sponsors
    Bill & Melinda Gates Foundation
    Collections
    • IITA Journal Articles [4998]

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