Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes

Evidence from community cassava processors on product quality traits that influence variety adoption was combined with laboratory methods to identify potential predictors of quality traits of new varieties. The study revealed that high product yield, high starch content, high solubility index (SI),...

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Main Authors: Abass, A., Awoyale, W., Ogundapo, A.T., Oluwasoga, O., Nwaoliwe, G., Oyelekan, J., Olarinde, L.
Format: Journal Article
Language:Inglés
Published: Hindawi Limited 2022
Subjects:
Online Access:https://hdl.handle.net/10568/119804
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author Abass, A.
Awoyale, W.
Ogundapo, A.T.
Oluwasoga, O.
Nwaoliwe, G.
Oyelekan, J.
Olarinde, L.
author_browse Abass, A.
Awoyale, W.
Nwaoliwe, G.
Ogundapo, A.T.
Olarinde, L.
Oluwasoga, O.
Oyelekan, J.
author_facet Abass, A.
Awoyale, W.
Ogundapo, A.T.
Oluwasoga, O.
Nwaoliwe, G.
Oyelekan, J.
Olarinde, L.
author_sort Abass, A.
collection Repository of Agricultural Research Outputs (CGSpace)
description Evidence from community cassava processors on product quality traits that influence variety adoption was combined with laboratory methods to identify potential predictors of quality traits of new varieties. The study revealed that high product yield, high starch content, high solubility index (SI), high peak viscosity (PV), low setback viscosity, and delayed root color change (delayed postharvest physiological deterioration) are possible laboratory indicators that could be used as proxies for predicting product quality and variety adoption decisions of cassava processors. Fufu exhibited higher swelling power, SI, and PV than gari from the same varieties. Processors preferred quality characteristics are difficult to measure for several hundreds of new germplasms in the early stages of the breeding cycle. The information presented may be helpful during the breeding of new, improved varieties by using the physical and chemical properties of the roots that predict processors’ preferred quality traits. Practical applications The study identified laboratory parameters that could be used as predictors of processors-preferred traits in new breeding lines with a higher possibility of adoption by processors to make commercial success products.
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language Inglés
publishDate 2022
publishDateRange 2022
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spelling CGSpace1198042023-10-02T08:35:54Z Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes Abass, A. Awoyale, W. Ogundapo, A.T. Oluwasoga, O. Nwaoliwe, G. Oyelekan, J. Olarinde, L. cassava adoption varieties breeding processing value chain Evidence from community cassava processors on product quality traits that influence variety adoption was combined with laboratory methods to identify potential predictors of quality traits of new varieties. The study revealed that high product yield, high starch content, high solubility index (SI), high peak viscosity (PV), low setback viscosity, and delayed root color change (delayed postharvest physiological deterioration) are possible laboratory indicators that could be used as proxies for predicting product quality and variety adoption decisions of cassava processors. Fufu exhibited higher swelling power, SI, and PV than gari from the same varieties. Processors preferred quality characteristics are difficult to measure for several hundreds of new germplasms in the early stages of the breeding cycle. The information presented may be helpful during the breeding of new, improved varieties by using the physical and chemical properties of the roots that predict processors’ preferred quality traits. Practical applications The study identified laboratory parameters that could be used as predictors of processors-preferred traits in new breeding lines with a higher possibility of adoption by processors to make commercial success products. 2022-03 2022-06-10T09:52:44Z 2022-06-10T09:52:44Z Journal Article https://hdl.handle.net/10568/119804 en Limited Access Hindawi Limited Abass, A., Awoyale, W., Ogundapo, A.T., Oluwasoga, O., Nwaoliwe, G., Oyelekan, J. & Olarinde, L. (2022). Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes. Journal of Food Processing and Preservation, 46(3), 1-19.
spellingShingle cassava
adoption
varieties
breeding
processing
value chain
Abass, A.
Awoyale, W.
Ogundapo, A.T.
Oluwasoga, O.
Nwaoliwe, G.
Oyelekan, J.
Olarinde, L.
Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes
title Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes
title_full Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes
title_fullStr Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes
title_full_unstemmed Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes
title_short Adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes
title_sort adoption of improved cassava varieties by processors is linked to processing characteristics and products biophysical attributes
topic cassava
adoption
varieties
breeding
processing
value chain
url https://hdl.handle.net/10568/119804
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