Phakamas, Nittaya

Preferred name

Phakamas, Nittaya

Alternative Name

Phakamas, N.

Main Affiliation

School of Agricultural Technology

Email

nittaya.ph@kmitl.ac.th

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Possibility to use crop models for indirect prediction of glycemic index in rice
(2024-01-01)
Phopaijit, S.
;
Somchit, P.
;
Phakamas, N.
A process for constructing the prediction equations was developed by using simulated biomass and simulated grain yield to be estimating the glycemic index (GI) of two rice varieties, and reference GI was used as a basis for calculation of predicted GI. The CSM-CERES-Rice model was able to construct the best prediction equations, and the equation developed by using simulated biomass and simulated yield were y = 0.0003x + 59.099 and y = 0.0008x + 59.213, respectively. The equations were also used for prediction of GI values of two rice varieties applied with different methods of nitrogen application. The difference of the equations was 0.0% for both simulated biomass and simulated grain yield. The process for indirect prediction of GI is used available simulated data of biomass and grain yield to improve prediction accuracy.