[O43] High Quality Food and Ingredients

[O43-06] Deployment of Cooking and Eating Quality Models as a Novel Breeding Tool to Predict Texture and Premium Grain Quality Segments

(Invited Speaker)

Reuben James Q. Buenafe ^1,2, Vasudev Kumanduri ^1,3,^○Nese Sreenivasulu¹ ( 1. Grain Quality and Nutrition Center, International Rice Research Institute, Philippines, 2. School of Chemical, Biological, Materials Engineering and Sciences, Mapua University, Philippines, 3. Piatrika Biosystems, United Kingdom)

Acceptance of new rice genotypes demanded by rice value chain depends on premium value of varieties that match consumer demands of regional preferences. High throughput prediction tools are not available to breeders to classify cooking and eating quality (CEQ) ideotypes and to capture texture of varieties. The pasting properties in combination with starch properties were used to develop two layered random forest (RF) models in order to classify the rice varieties into twelve distinct CEQ ideotypes with unique sensory profiles. Classification models developed using random forest method depicted the overall accuracy of 96 %. These CEQ models were found to be robust to predict ideotypes in both Indica and Japonica diversity panels grown under dry and wet seasons and across the years. We conducted random forest modeling using 1.8 million high density SNPs and identified top 1000 SNP features which explained CEQ model classification with the accuracy of 0.81. Furthermore these CEQ models were found to be valuable to predict textural preferences of IRRI breeding lines released during 1960–2013 and mega varieties preferred in South and South East Asia. The genome-phenome models based selection tools will be handy for screening of a variety that can be included as selection criteria in the breeding programs to cater the needs of both farmers and consumers. It was found out that Japan, Taiwan, Laos, and Thailand preferred rice that belongs to ideotype E which is generally sticky and soft rice. The identified mismatches can be addressed in future breeding programs by applying the derived models to capture the CEQ and textural preferences and disseminate the rightly chosen varieties to the target countries by matching the preference of consumers in terms of texture.