1 Quality. Program Evaluation of Physical Quality Understanding bits of Cooking Quality Discussion and questions 1 2 3 Eyes vs Instruments Associating.

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Presentation transcript:

1 Quality

Program Evaluation of Physical Quality Understanding bits of Cooking Quality Discussion and questions Eyes vs Instruments Associating genes with results

Quality Evaluation Cross F1F2F3F4F5F8 125g paddy for physical and cooking tests 5g for chalk, GT and amylose

Quality is Defined in Sensory Terms by Each Market

Eyes look for white, translucent, uniform, not-chalky, not cracked, glossy Nose smells for popcorn, ammonia, watery, grassy, vanillary Mouth munches for texture, springiness, stickiness, chewiness, creaminess, Vit A, Fe, Zn...

How do we measure all of these things??

There is not much in a rice grain: Starch (~94%) Protein (~5%) Lipids (~1%) But, different levels of structure affect physical and cooking properties.

The CervitecFOSS

Cervitec gives us: Chalk Length Width Cracks HRY

Chalk 0-10%10-25%25-50% 50-75%>75%

Cracks

Head Rice Yield (%) traditional Head Rice Yield (%) cervitec Head Rice Yield

The Data Direct to IRIS

2 Eating Quality

Quality is Defined in Sensory Terms by Each Market

Mouth munches for firmness, softness springiness, stickiness, chewiness

There is not much in a rice grain: Starch (~94%) Protein (~5%) Lipids (~1%) But, different levels of structure affect physical and cooking properties.

How do we measure it? Amylose content Gelatinisation Temperature Gel consistency Viscosity

Amylose Content Varieties of the same amylose content DO NOT always have similar cooking properties….. GBSSFRRFRL CT n Amylose Allele Varieties of the same amylose allele often DO have similar cooking properties…..

Gelatinisation Temperature The temperature at which the starch melts irreversibly High GT = long cooking time = not nice rice Low GT = short cooking time = lovely rice

Melting of Starch

Gelatinisation Temperature

Amylose and GT don’t always say a lot.... Indonesia Laos No. rices Amylose Content Gelatinisation Temperature ± ± ± ± ± 3.1

Cooking Quality by RVA Time (min) Viscosity (cP) PVFVTV

What Makes a Viscosity Curve? 1. Proteins hydrate and become sticky 2. Amylopectin melts and hydrates 3. Starch granules swell and amylose leaches 4. Amylose aggregates and forms a gel

Gel Consistency The METHOD Flour (100 mg) ml ETOH ml 0.2N KOH + thymol blue Boil Cool with ice Lie flat on graph paper Read migration of gel = GC Time (min) GC was developed to discriminated between high amylose rices with soft and firm cooking properties. The scientific basis for its predictive ability, or its extent of prediction is not fully known. A population to determine this.

What is GC? – IR5 and IR8 – 29%am Migration of gel (mm)

What is GC? – IR5 and IR8 – 29%am Think of gelatinised starch as a collection of different lengths of mobile polymer... As the polymer chains (amylose) entangle with each other and with protein, and embed, they form a gel. Does that gel get harder on cooling?

Let us revise….. Amylose is measured with iodine and does not always predict quality. Gelatinisation temperature is measured with alkali spreading value and is an important character, but again does not explain quality always. Gel consistency is a fast method and gives some information about the texture of the cooked rice. RVA traces of breeding lines compared with standards give data on cooking properties. Infratec measures amylose, protein, moisture and lipids

Exercises – In the lab…. 4 groups 2 groups compare chalk values by eye with chalk values by the instrument. 2 groups do gel consistency and try to associate with amylose allele (data provided) Eat the parents of the GC experiment freshly cooked and retrograded and discuss texture and the GC method ENJOY!!!!