Method for establishing peach fruit maturation degree prediction model

A technology for predicting models and establishing methods, which is used in measurement devices, material analysis by optical means, instruments, etc., to achieve the effects of high accuracy, timely harvesting, and simple calculation methods

Inactive Publication Date: 2017-07-07
JIANGSU ACADEMY OF AGRICULTURAL SCIENCES
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  • Abstract
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  • Application Information

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Problems solved by technology

In the aspect of predicting peach fruit ripeness by near-infrared spectroscopy, Nascimento et al. studied the least squares model of short-term low-temperature peach soluble solids content and fr

Method used

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  • Method for establishing peach fruit maturation degree prediction model
  • Method for establishing peach fruit maturation degree prediction model
  • Method for establishing peach fruit maturation degree prediction model

Examples

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Embodiment 1

[0022] The establishment method of this peach fruit ripeness prediction model, its step comprises:

[0023] (1) The fruits of 7-year-old late-maturing common peach 'Xiahui 8' and late-maturing nectarine 'Xiaguang' were used as test materials. Fruit ripening period, harvested at 8:00 in the morning in fine weather, the period of color change (about 7 mature, maturity I) and reaching harvest maturity (about 8.5 mature, maturity II ) of 30 fruits each, and bring them back to the laboratory immediately. Number each fruit and mark the middle of the two sides of each fruit. The participating plants have moderate tree vigor, planted in a north-south direction, and the tree shape is naturally happy, cultivated on ridges, and managed according to conventional cultivation measures.

[0024] (2) Use DA-Meter (TR Turoni srl, Forlì, Italy) to measure the I of pericarp AD Value, using TA.XT.Plus texture analyzer to measure the skin hardness and peeled hardness of the fruit, the probe dia...

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Abstract

The invention discloses a method for establishing a peach fruit maturation degree prediction model. The method comprises the following steps: respectively picking peach fruits in a turning-color period and fruits reaching the picking maturation degree, and respectively marking as a maturation degree I and a maturation degree II; measuring the peel absorbance difference IAD of the picked peach fruits, and measuring hardness of the peach fruits; and fitting the hardness of the fruits with the maturation degree I and the maturation degree II with the IAD, and establishing a peach fruit maturation degree prediction equation y=ax2+bx+c. According to the method disclosed by the invention, the peach fruit maturation degree prediction model is established based on the peel absorbance difference IAD which is nondestructively tested by a near infrared technology, and due to regression prediction, the difference between an estimated value and an actual observed value is not obvious. Therefore, the prediction model has high accuracy, the measurement and calculation method is simple, and the peach fruits can be timely picked.

Description

technical field [0001] The invention relates to a method for establishing a peach fruit maturity prediction model. Background technique [0002] In peach market circulation, fruit harvest maturity is always the main factor restricting its commodity value. Accurate judgment of peach fruit maturity is very important for timely harvesting, grading, packaging, transportation, and guarantee of commerciality. As a climacteric fruit, peach has a sharp rise in ethylene release during ripening, accompanied by gene transcription, and these changes are often regulated by hormones. During this process, the firmness of the fruit, the content and proportion of inclusion components, and the background color of the peel will all change accordingly, and the relevant quality indicators of fruits with different maturity levels are significantly different. There have been many studies on the detection of peach fruit maturity based on destructive or non-destructive methods. Zhang Binbin et al...

Claims

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Application Information

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IPC IPC(8): G01N21/359
CPCG01N21/359
Inventor 张斌斌马瑞娟张春华宋志忠彭斌
Owner JIANGSU ACADEMY OF AGRICULTURAL SCIENCES
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