| Registro completo |
| Provedor de dados: |
CIGR Journal
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| País: |
China
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| Título: |
Predictive Models for Head Rice Yield and Breakage Ratio Under Optimal Steam Parboiling Variables for Faro 44 Rice Variety
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| Autores: |
Nwajinka, Charles Obiora
Muochebe, Bonaventure
Nwatu, Ernest Ifeanyichukwu
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| Data: |
2022-06-28
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| Ano: |
2022
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| Palavras-chave: |
FARO-44
Rice
Head rice
Breakage ratio
Parboiling
Modeling
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| Resumo: |
This study was carried out to determine the optimal conditions for steam parboiling process for increased Head Rice Yield (HRY) and reduced Breakage Ratio (BR)of milled FARO-44 rice variety. The process variables studied were Soaking Temperature (SkT), soaking time (Skt) and Steaming time (STt). The SkT was varied between 70 oC and 90 oC, Skt between 40 and 50 mins while STt was varied between 8 to 12hrs. Head Rice Yield (HRY) and Breakage Ratio(BR) were selected as the quality attributs considered in the optimization as the response variables. The objective of the optimization was to determine the combination of factors that will maximize HRY and minimize BR. At the composite desirability of 0.683, the optimal values of STt, STt and Skt were 76.99 0C,40.16 minutess and 9.14 hours respectively. At this factor combination,the corresponding values of HRY and BR were 88.58%, 11.26% respectively.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.cigrjournal.org/index.php/Ejounral/article/view/6881
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| Editor: |
International Commission of Agricultural and Biosystems Engineering
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| Relação: |
http://www.cigrjournal.org/index.php/Ejounral/article/view/6881/3869
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| Formato: |
application/pdf
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| Fonte: |
Agricultural Engineering International: CIGR Journal; Vol. 24 No. 2 (2022): CIGR Journal
1682-1130
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| Direitos: |
Copyright (c) 2022 Agricultural Engineering International: CIGR Journal
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