2021
DOI: 10.1007/s13197-021-05204-3
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Optimization using response surface methodology of the soaking and germination time of two rice varieties (Nerica 3 and Nerica L56) grown in the locality of Dschang (West-Cameroon)

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Cited by 3 publications
(8 citation statements)
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“…Temperature plays a role in the activation and formation of binding energies. In the context of this study, it favors the lifting of the dormant state of the grains by facilitating the absorption of water in particular ( 43 ). The responses gradually evolve with the soaking temperature to maxima before lowering.…”
Section: Resultsmentioning
confidence: 93%
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“…Temperature plays a role in the activation and formation of binding energies. In the context of this study, it favors the lifting of the dormant state of the grains by facilitating the absorption of water in particular ( 43 ). The responses gradually evolve with the soaking temperature to maxima before lowering.…”
Section: Resultsmentioning
confidence: 93%
“…On the other hand, a positive effect of the soaking time, the quadratic effect of the ripening time, the interactions between input concentration and germination time, soaking temperature and germination time, and finally germination time and ripening time are observed. The observed difference in the action of the factors as well as their direction of variation on the two varieties would be the effect of the pectocellulosic and nutritional composition of the two varieties ( 43 ). It follows that a 2-fold increase in germination and maturation times for the Coca-sr variety would result in the use of free amino acids from catabolism for the production of energy needed for anabolism.…”
Section: Resultsmentioning
confidence: 99%
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“…It appears that the R 2 of the different responses is greater than 75%, the AADM is equal to 0, and the Bf is between 0.75 and 1.25. Indeed, when these three coefficients respected standard values, we consider that there is an adequacy between the experimental responses and the predicted responses given by the model [16].…”
Section: Prediction Of Mathematical Modelsmentioning
confidence: 98%