A method for comprehensive evaluation of snow mountain chicken quality

A chicken quality and comprehensive evaluation technology, applied in the fields of food science and animal husbandry, can solve the problems of differences in collagen content and cholesterol content, and cannot be applied to the comprehensive evaluation of snow mountain chicken quality.

Active Publication Date: 2020-08-07
YANGZHOU UNIV
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Problems solved by technology

However, this method cannot be applied to the comprehensive evaluation of snow mountain chicken quality, because chicken breast meat belongs to white meat, that is, mainly white muscle fiber type, while goose breast meat belongs to red meat, mainly red muscle fiber type; the fat content in goose meat is higher than that of chicken , collagen content and cholesterol content and pH are very different from chicken

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  • A method for comprehensive evaluation of snow mountain chicken quality
  • A method for comprehensive evaluation of snow mountain chicken quality
  • A method for comprehensive evaluation of snow mountain chicken quality

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Experimental program
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Embodiment 1

[0040] Using the seven main meat quality indicators in this method to evaluate the meat quality of Snow Mountain Chicken can get a more accurate and reliable evaluation. (See Table 3)

[0041] Table 3 The index values ​​of different grades of Xueshan yellow chicken breast muscle quality evaluation

[0042]

[0043] The MQI value of Xueshan yellow chicken quality is:

[0044] MQI=0.33*10+0.161*10+0.165*10+0.117*5+0.125*5+0.057*10+0.044*10=8.78 The MQI value of snow mountain chicken meat quality: MQI=0.33*10+0.161*10 +0.165*5+0.117*10+0.125*5+0.057*10+0.044*10=8.54 By calculating the MQI value, it can be found that the quality of Snow Mountain yellow chicken is better than Snow Mountain grass chicken.

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Abstract

The invention relates to the fields of food science and animal husbandry, in particular to a method for comprehensive evaluation of snow mountain chicken quality. The method is to measure the seven meat quality evaluation indexes of ATP, IMP, pH value 1 hour after slaughter, water resistance, shear force, meat color and IMF of the chicken sample, and the average value of the data measured for each meat quality index Converted into the index value of the corresponding grade, substituted into the formula, calculated the suitable selection index MQI value of meat quality traits, and determined the quality of chicken meat according to the MQI value. The method of the present invention selects 7 main meat quality evaluation indexes, standardizes their measurement methods, thereby can obtain more accurate and reliable experimental data; by carrying out correlation analysis to each evaluation index, determine the interrelationship between them , so as to provide a reference for establishing a unified evaluation method and standard.

Description

technical field [0001] The invention relates to the fields of food science and animal husbandry, in particular to a method for comprehensive evaluation of snow mountain chicken quality. Background technique [0002] "Snow Mountain Chicken" is a high-quality chicken that is independently cultivated by Jiangsu Lihua Animal Husbandry Co., Ltd. and is suitable for the needs of the high-end market. Approved by the National Animal Genetic Resources Committee, it has become a national new breed (supporting line). Since its listing, it has been favored by consumers for its beautiful appearance, unique meat flavor, rich nutrition, no drug residues, and low pollution. In the past five years, the average annual slaughter volume has reached nearly 300 million. [0003] At present, there are many studies on the quality of Xueshan chicken, and there are many indicators for measurement, but they are not standardized and standardized, and it is difficult to reach a consensus, which affects...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N33/12G01N5/04G01N21/25G01N27/00G01N30/02
CPCG01N5/04G01N21/25G01N27/00G01N30/02G01N33/12
Inventor 常国斌鲁伟郭其新张扬徐琪张康宁许盛海袁青妍李碧春陈国宏
Owner YANGZHOU UNIV
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