CN105243599A - Method for building rice storage quality evaluation model - Google Patents
Method for building rice storage quality evaluation model Download PDFInfo
- Publication number
- CN105243599A CN105243599A CN201510669442.XA CN201510669442A CN105243599A CN 105243599 A CN105243599 A CN 105243599A CN 201510669442 A CN201510669442 A CN 201510669442A CN 105243599 A CN105243599 A CN 105243599A
- Authority
- CN
- China
- Prior art keywords
- rice
- storage
- indexes
- storage quality
- quality
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Landscapes
- Cereal-Derived Products (AREA)
Abstract
The invention discloses a method for building a rice storage quality evaluation model. The method comprises the following steps: screening sensitivity indexes influencing the rice storage quality; finding out indexes with a relatively good correlation to storage time and a storage mode from a plurality of indexes as the sensitivity indexes; carrying out a variance analysis on the indexes to determine the three indexes including a fatty acid value, revertose content and hardness as the sensitivity indexes for evaluating the storage quality; and carrying out a quadratic polynomial regression analysis, so as to build the rice storage quality evaluation model: Y/10=-1.281+0.074*X<1>+3.845*X<2>+0.0011*X<3>. According to the method disclosed by the invention, evaluation and utilization can be achieved; the degradation of cooking quality and eating quality of the rice in the storage process can be effectively avoided; the feasibility is good; and the adaptability is good.
Description
Technical field
The present invention relates to the foundation of rice ageing model, the method belongs to field of agricultural production technologies, is specifically related to a kind of construction method of rice storage quality evaluation model.
Background technology
Rice is one of important foodstuffs of our people, and owing to not having rice husk to protect, outside endosperm is directly exposed to, therefore temperature, humidity, oxygen concentration affect comparatively responsive to external world; Meanwhile, the direct invasion and attack of insect and mould, cause rice nutrition material to run off and accelerate, and ageing very easily occurs and reduces storage quality.
With the more starch of content in rice compared with protein, lipid more easily causes rice ageing to go bad, in storage, lipid is subject to the impact of air and high temperature, very easily accelerate the speed of rice deterioration, cause rice edible quality to decline, therefore China's existing paddy storage quality decision rule (GB/T20569-2006) is that standard is to reflect deterioration degree and the storage quality of grain with free fatty acid level.But, the change of rice storage quality is a dynamic process, because index sensitive each in storage is different, on the difference affecting various degrees of rice freshness, its storage quality can not be evaluated by an isolated index, therefore set up the good storage of a kind of scientific and effective method for evaluating quality to rice and have practical significance, research report relevant at present seldom.
Summary of the invention
The problem to be solved in the present invention is to provide the construction method of the evaluation model of a rice storage quality, this method utilizes variance analysis (ANOVA) method to screen rice susceptibility index, and utilizes Quadratic regression polynomial analysis method to set up one rice storage quality assessment indicator system fast and accurately.
For achieving the above object, the technical solution used in the present invention is:
A construction method for rice storage quality evaluation model,
(1) simulate the experiment of rice storage, screening affects the susceptibility index of rice storage quality, measures Stored Rice fatty acid value, total acid number, content of reducing sugar, hardness, gelatinization point index.
(2) to find out with the index of storage time and stored manner good relationship as susceptibility index from many index, adopt method of analysis of variance the index in (1) to be carried out to the screening of storage quality susceptibility;
(3) Quadratic regression polynomial analysis method is utilized to set up rice storage quality evaluation model:
Y/10＝-1.281+0.074*X
1+3.845*X
2+0.0011*X
3；
Wherein, Y is storage time, X
1for fatty acid value, mgKOH/100g dry; X
2for content of reducing sugar, mg glucose/100g sample; X
3for hardness, g.
The present invention is advantageously:
1. the present invention establishes a kind of rice storage quality evaluation model, and it is more more accurate than single index, reliable that screening sensitive indicator establishes an assessment indicator system prediction storage quality.
2. the present invention can evaluation ideas effectively avoid to the cooking quality of rice and the decline of edible quality in storage, feasibility and adaptability is good.
3. experiment involved in the present invention is not loaded down with trivial details, convenient and data accurate, can reflect the change of rice quality in storage objectively, easy in practice.
Embodiment
Below in conjunction with embodiment, the present invention is further elaborated, but not the present invention therefore and now.
Embodiment 1
A construction method for rice storage quality evaluation model, comprises the following steps:
(1) simulated storage experiment: adopt commercially available woven bag to pack rice sample, is placed in the growth cabinet Imitating storage experiment that temperature is 15,25,30 DEG C (60%RH).
(2) storage quality susceptibility index is screened: on the basis retaining fatty acid index in " paddy storage quality decision rule ", increase total acid number, content of reducing sugar, hardness, gelatinization point index, find out from many index with the index of storage time and stored manner good relationship as susceptibility index.Variance analysis is carried out to These parameters, (P<0.05 is remarkable all to present conspicuousness relation with storage time and stored manner, P<0.01 is extremely remarkable) index have: fatty acid value, content of reducing sugar, hardness, selected above three indexs are evaluate the susceptibility index of storage quality.
Table 1.
| Storage time | Degree of freedom | Quadratic sum | All square | F | Conspicuousness |
| Fatty acid | 2 | 67612.573 | 1679.821 | 26.0000 | ** |
| Total acid | 2 | 30.383 | .069 | 4.956 | |
| Content of reducing sugar | 5 | 2.056 | .411 | 653.484 | ** |
| Hardness | 5 | 5.848E7 | 1.170E7 | 54.791 | ** |
| Gelatinization point | 4 | 1558.022 | 389.505 | 32.059 | |
| Stored manner | Degree of freedom | Quadratic sum | All square | F | |
| Fatty acid | 2 | 203.238 | 101.619 | 1.573 | |
| Total acid | 2 | .056 | .028 | 2.025 | |
| Content of reducing sugar | 2 | .017 | .008 | 13.280 | ** |
| Hardness | 2 | 176366.144 | 88183.072 | .413 | |
| Gelatinization point | 2 | 53.570 | 26.785 | 2.205 |
* P<0.05 is represented, significant correlation; * represents P<0.01, pole significant correlation.
Look into critical F according to analysis of variance table to be worth:
Wherein, after changing storage time, fatty acid: F
0.05 (2,18)=3.55, F
0.01 (2,18)=6.01, because F>F
0.01 (2,18), i.e. P<0.01, therefore think that storage time has appreciable impact to fatty acid.Reducing sugar: F
0.05 (2,18)=3.55, F
0.01 (2,18)=6.01, because F>F
0.01 (2,18), i.e. P<0.01, therefore think that storage time has appreciable impact to reducing sugar.Hardness: F
0.05 (5,16)=3.01, F
0.05 (5,16)=4.77, because F>F
0.05 (5,16, i.e. P<0.01, therefore think that storage time has appreciable impact to hardness; And after changing stored manner, content of reducing sugar: F
0.05 (2,12)=3.26, F
0.0,1 (2,12)=5.41, because F>F
0.0,1 (2,12), i.e. P<0.01, therefore think that stored manner has appreciable impact to content of reducing sugar.
(3) rice storage quality forecast model is set up:
From the above, storage time has pole appreciable impact to these three indexs of content of fatty acid, content of reducing sugar and hardness in rice, and experimentally the data obtained carries out regretional analysis gained by JMP software: the recurrence computing formula of rice susceptibility index to storage time is:
Y/10＝-1.281+0.074*X
1+3.845*X
2+0.0011*X
3；
F=94.858; Coefficient R=0.922.
In following formula, Y is storage time, X
1for fatty acid value, mgKOH/100g dry; X
2for content of reducing sugar, mg glucose/100g sample; X
3for hardness, g.
Verification model:
1. woven bag is packed rice after 15 DEG C of growth cabinets store 30,60,90,120 days
2. woven bag is packed rice after 25 DEG C of growth cabinets store 30,60,90,120 days
3. woven bag is packed rice after 30 DEG C of growth cabinets store 30,60,90,120 days
From the above, this regression equation is substantially satisfied.
Claims (1)
1. the construction method of a rice storage quality evaluation model, it is characterized in that, screening affects the susceptibility index of rice storage quality, find out from many index with the index of storage time and stored manner good relationship as susceptibility index, carrying out more than variance analysis determination fatty acid value, content of reducing sugar, hardness three indexs to These parameters is evaluate the susceptibility index of storage quality, carry out Quadratic regression polynomial analysis again, and then set up rice storage quality evaluation model: Y/10=-1.281+0.074*X
1+ 3.845*X
2+ 0.0011*X
3; Wherein, Y is storage time, X
1for fatty acid value, mgKOH/100g dry; X
2for content of reducing sugar, mg glucose/100g sample; X
3for hardness, g.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510669442.XA CN105243599A (en) | 2015-10-13 | 2015-10-13 | Method for building rice storage quality evaluation model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510669442.XA CN105243599A (en) | 2015-10-13 | 2015-10-13 | Method for building rice storage quality evaluation model |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105243599A true CN105243599A (en) | 2016-01-13 |
Family
ID=55041234
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510669442.XA Pending CN105243599A (en) | 2015-10-13 | 2015-10-13 | Method for building rice storage quality evaluation model |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105243599A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106599578A (en) * | 2016-12-13 | 2017-04-26 | 南京财经大学 | Method for predicting content of heavy metal in polished rice |
| CN108037256A (en) * | 2017-12-05 | 2018-05-15 | 中国水稻研究所 | The rapid assay methods of rice eating-quality |
| CN108133328A (en) * | 2017-12-25 | 2018-06-08 | 中国食品发酵工业研究院 | The evaluation method of rice edible quality and its application on potato engineering rice |
| CN108169437A (en) * | 2017-12-08 | 2018-06-15 | 颍上县国峰米业有限公司 | A kind of screening technique of rice |
| CN115454182A (en) * | 2022-10-10 | 2022-12-09 | 中南林业科技大学 | Grain storage method, system, equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101655454A (en) * | 2009-09-15 | 2010-02-24 | 北京市农林科学院 | Rapid determination method for evaluation of storage quality of grain |
| CN103399092A (en) * | 2013-07-15 | 2013-11-20 | 浙江大学 | Method for rapidly evaluating quality of ginseng |
| CN103969409A (en) * | 2014-04-08 | 2014-08-06 | 广东省农业科学院蚕业与农产品加工研究所 | Determination and evaluation method for quality of lychees suitable for can processing |
| CN104165974A (en) * | 2014-08-05 | 2014-11-26 | 张掖市林业科学技术推广站 | Evaluation method for quality of fresh grapes |
| CN104914223A (en) * | 2015-06-02 | 2015-09-16 | 中国农业科学院农产品加工研究所 | Determination method and evaluation method of quality of peanuts for peanut sauce |
-
2015
- 2015-10-13 CN CN201510669442.XA patent/CN105243599A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101655454A (en) * | 2009-09-15 | 2010-02-24 | 北京市农林科学院 | Rapid determination method for evaluation of storage quality of grain |
| CN103399092A (en) * | 2013-07-15 | 2013-11-20 | 浙江大学 | Method for rapidly evaluating quality of ginseng |
| CN103969409A (en) * | 2014-04-08 | 2014-08-06 | 广东省农业科学院蚕业与农产品加工研究所 | Determination and evaluation method for quality of lychees suitable for can processing |
| CN104165974A (en) * | 2014-08-05 | 2014-11-26 | 张掖市林业科学技术推广站 | Evaluation method for quality of fresh grapes |
| CN104914223A (en) * | 2015-06-02 | 2015-09-16 | 中国农业科学院农产品加工研究所 | Determination method and evaluation method of quality of peanuts for peanut sauce |
Non-Patent Citations (2)
| Title |
|---|
| 张玉荣 等: "糙米储藏品质评价数学模型的建立", 《河南工业大学学报（自然科学版）》 * |
| 韩小贤 等: "霉变小麦品质评价数学模型的建立", 《中国粮油学报》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106599578A (en) * | 2016-12-13 | 2017-04-26 | 南京财经大学 | Method for predicting content of heavy metal in polished rice |
| CN106599578B (en) * | 2016-12-13 | 2018-10-16 | 南京财经大学 | A kind of method of content of beary metal in prediction polished rice |
| CN108037256A (en) * | 2017-12-05 | 2018-05-15 | 中国水稻研究所 | The rapid assay methods of rice eating-quality |
| CN108169437A (en) * | 2017-12-08 | 2018-06-15 | 颍上县国峰米业有限公司 | A kind of screening technique of rice |
| CN108133328A (en) * | 2017-12-25 | 2018-06-08 | 中国食品发酵工业研究院 | The evaluation method of rice edible quality and its application on potato engineering rice |
| CN115454182A (en) * | 2022-10-10 | 2022-12-09 | 中南林业科技大学 | Grain storage method, system, equipment and storage medium |
| CN115454182B (en) * | 2022-10-10 | 2024-04-19 | 中南林业科技大学 | Grain storage method, system, equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105243599A (en) | Method for building rice storage quality evaluation model | |
| Nadaud et al. | Proteomic and morphological analysis of early stages of wheat grain development | |
| Hou et al. | Population genetic diversity and structure of a naturally isolated plant species, Rhodiola dumulosa (Crassulaceae) | |
| Lung'aho et al. | Genetic and physiological analysis of iron biofortification in maize kernels | |
| Hu et al. | QTL mapping of stalk bending strength in a recombinant inbred line maize population | |
| Li et al. | Transcriptomic profiling revealed genes involved in response to cold stress in maize | |
| Castro et al. | High-performance prediction of macauba fruit biomass for agricultural and industrial purposes using Artificial Neural Networks | |
| Zhang et al. | Genetic analysis of grain filling rate using conditional QTL mapping in maize | |
| Pinto et al. | Image analysis in the evaluation of the physiological potential of maize seeds | |
| Panda et al. | Compact panicle architecture is detrimental for growth as well as sucrose synthase activity of developing rice kernels | |
| Zuchi et al. | Physiological quality of dynamically cooled and stored soybean seeds | |
| Zhao et al. | Functional mapping of ontogeny in flowering plants | |
| Singh | Effect of corn quality on bioethanol production | |
| Baik et al. | Postharvest and postmilling changes in wheat grain and flour quality characteristics | |
| Dong et al. | QTL identification and meta-analysis for kernel composition traits across three generations in popcorn | |
| Luengwilai et al. | Starch granules in tomato fruit show a complex pattern of degradation | |
| Patil et al. | Heritability and quantitative trait loci of composition and structural characteristics in sorghum grain | |
| Alomari et al. | Wheat grains as a sustainable source of protein for health | |
| Tajbakhsh | Relationships between electrical conductivity of imbibed seeds leachate and subsequent seedling growth (viabiliy and vigour) in Omid wheat | |
| Santos et al. | Genome-wide association study of cassava starch paste properties | |
| Lu et al. | Grain quality characterization of hybrid rice restorer lines with resilience to suboptimal temperatures during filling stage | |
| Wang et al. | Quantitative trait locus mapping of seed vigor in soybean under− 20° C storage and accelerated aging conditions via RAD sequencing | |
| Zhang et al. | Research on physicochemical properties, microscopic characterization and detection of different freezing-damaged corn seeds | |
| Xiao et al. | Transcriptome analysis identifies novel genes associated with low-temperature seed germination in sweet corn | |
| Tan et al. | Drought resistance evaluation of sugar beet germplasms by response of phenotypic indicators |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20160113 |