Grain quality and nutrition of japonica rice

Identification of Japonica rice with high grain quality and low glycemic index 

Project lead: Dr. Nese Sreenivasulu, IRRI

Research Unit Leader
Consumer-driven Grain Quality and Nutrition

Background

At present, amylose estimation and gel consistency and gelatinization temperature are considered routine screening parameters in breeding programs to capture cooking quality. To be able to make a distinction in textural and cooking quality properties between several high-quality Japonica varieties, other parameters, such as starch quality, instrumental texture, and viscoelastic properties, must be linked with the routine parameters through a holistic modeling and underpin the influence of these parameters on textural characteristics and acceptability of each predicted cooking and eating quality groups or ideotypes. Establishing this cooking and eating quality (CEQ) properties together with milling, chalk and appearance qualities for several benchmarks of Japonica high-quality lines and establishing screening protocols are important for TRRC.  Similarly, while many breeding programs have selected low amylose in Japonica and intermediate amylose in Indica species, the low amylose content is linked to a very high glycemic index (GI). Hence, there is a need to make systematic efforts to screen the Japonica germplasm, which could possess low GI properties with acceptable texture and position these donors for future low GI breeding programs.

Objectives


Output 1: Establishment of ISO17025 grain quality protocols with good heritability


Output 2: Understanding the phenotypic variation and genetic diversity of Japonica for grain quality attributes

Genome wide association study of grain width trait of raw grain (left panel) and cooked grain width (right panel) of Japonica germplasm using high-density SNPs identified using resequencing data. 

Novel region detected for cooked grain shape

Output 3: Models developed to identify premium quality based on cooking and eating quality and linking with texture

Rice Texture Wheel Chart with their corresponding sensory descriptions

Output 4: Establishing the method for estimating the glycemic index values of rice in Japonica germplasm

Participation of TRRC members in the project