Literature DB >> 24423555

Prediction of carotenoids, cyanide and dry matter contents in fresh cassava root using NIRS and Hunter color techniques.

T Sánchez1, H Ceballos2, D Dufour3, D Ortiz1, N Morante1, F Calle1, T Zum Felde4, M Domínguez1, F Davrieux5.   

Abstract

Efforts are currently underway to improve carotenoids content in cassava roots through conventional breeding as a strategy to reduce vitamin A deficiency. However, only few samples can be quantified each day for total carotenoids (TCC) and β-carotene (TBC) contents, limiting the gains from breeding. A database with >3000 samples was used to evaluate the potential of NIRS and chromameter devices to predict root quality traits. Maximum TTC and TBC were up to 25.5 and 16.6 μg/g (fresh weight basis), respectively. NIRS predictions were highly satisfactory for dry matter content (DMC, R(2): 0.96), TCC (R(2): 0.92) and TBC (R(2): 0.93). NIRS could also distinguish roots with high or low cyanogenic potential (R(2): 0.86). Hunter color parameters could also be used for predictions, but with lower accuracy than NIRS. NIRS or chromameter improve selection protocols, allowing faster gains from breeding. Results also demonstrate that TBC and DMC can be improved simultaneously (required for the adoption of biofortified cassava).
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Biofortification; Colour intensity; Nutritional quality; Pigments; Prediction

Mesh:

Substances:

Year:  2013        PMID: 24423555     DOI: 10.1016/j.foodchem.2013.11.081

Source DB:  PubMed          Journal:  Food Chem        ISSN: 0308-8146            Impact factor:   7.514


  9 in total

Review 1.  Fifty years of a public cassava breeding program: evolution of breeding objectives, methods, and decision-making processes.

Authors:  Hernán Ceballos; Clair Hershey; Carlos Iglesias; Xiaofei Zhang
Journal:  Theor Appl Genet       Date:  2021-06-04       Impact factor: 5.699

2.  Diallel analysis of provitamin A carotenoid and dry matter content in cassava (Manihot esculenta Crantz).

Authors:  Williams Esuma; Robert S Kawuki; Liezel Herselman; Maryke Tine Labuschagne
Journal:  Breed Sci       Date:  2016-08-26       Impact factor: 2.086

3.  Rapid analyses of dry matter content and carotenoids in fresh cassava roots using a portable visible and near infrared spectrometer (Vis/NIRS).

Authors:  Ugochukwu N Ikeogu; Fabrice Davrieux; Dominique Dufour; Hernan Ceballos; Chiedozie N Egesi; Jean-Luc Jannink
Journal:  PLoS One       Date:  2017-12-11       Impact factor: 3.240

4.  Rapid Starch Evaluation in Fresh Cassava Root Using a Developed Portable Visible and Near-Infrared Spectrometer.

Authors:  Yuranan Bantadjan; Ronnarit Rittiron; Kritsanun Malithong; Sureeporn Narongwongwattana
Journal:  ACS Omega       Date:  2020-05-07

Review 5.  Technological Innovations for Improving Cassava Production in Sub-Saharan Africa.

Authors:  Edwige Gaby Nkouaya Mbanjo; Ismail Yusuf Rabbi; Morag Elizabeth Ferguson; Siraj Ismail Kayondo; Ng Hwa Eng; Leena Tripathi; Peter Kulakow; Chiedozie Egesi
Journal:  Front Genet       Date:  2021-01-21       Impact factor: 4.599

6.  A comparison study of five different methods to measure carotenoids in biofortified yellow cassava (Manihot esculenta).

Authors:  Angélica M Jaramillo; Luis Fernando Londoño; Juan Camilo Orozco; Gelver Patiño; John Belalcazar; Fabrice Davrieux; Elise F Talsma
Journal:  PLoS One       Date:  2018-12-28       Impact factor: 3.240

7.  Genetic Correlation, Genome-Wide Association and Genomic Prediction of Portable NIRS Predicted Carotenoids in Cassava Roots.

Authors:  Ugochukwu N Ikeogu; Deniz Akdemir; Marnin D Wolfe; Uche G Okeke; Amaefula Chinedozi; Jean-Luc Jannink; Chiedozie N Egesi
Journal:  Front Plant Sci       Date:  2019-12-04       Impact factor: 5.753

8.  Image-based phenotyping of cassava roots for diversity studies and carotenoids prediction.

Authors:  Ravena Rocha Bessa de Carvalho; Diego Fernando Marmolejo Cortes; Massaine Bandeira E Sousa; Luciana Alves de Oliveira; Eder Jorge de Oliveira
Journal:  PLoS One       Date:  2022-01-31       Impact factor: 3.240

9.  Genome-wide association analysis reveals new insights into the genetic architecture of defensive, agro-morphological and quality-related traits in cassava.

Authors:  Ismail Yusuf Rabbi; Siraj Ismail Kayondo; Guillaume Bauchet; Muyideen Yusuf; Cynthia Idhigu Aghogho; Kayode Ogunpaimo; Ruth Uwugiaren; Ikpan Andrew Smith; Prasad Peteti; Afolabi Agbona; Elizabeth Parkes; Ezenwaka Lydia; Marnin Wolfe; Jean-Luc Jannink; Chiedozie Egesi; Peter Kulakow
Journal:  Plant Mol Biol       Date:  2020-07-30       Impact factor: 4.335

  9 in total

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