Method for fast measuring corn kernel water loss rate based on regression model and application

A regression model and rapid determination technology, applied in special data processing applications, testing food, measuring devices, etc., can solve problems such as less research and achieve important breeding value

Inactive Publication Date: 2017-02-01
鹤壁市农业科学院
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Problems solved by technology

[0005] There are many related studies at home and abroad on the dehydration rate of corn, but they are mainly based on the traditional drying method, and there are few related studies on the use of moisture analyzers to measure the dehydration rate

Method used

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  • Method for fast measuring corn kernel water loss rate based on regression model and application
  • Method for fast measuring corn kernel water loss rate based on regression model and application
  • Method for fast measuring corn kernel water loss rate based on regression model and application

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Embodiment Construction

[0016] 1 Materials and methods

[0017] 1.1 Test materials and field design

[0018] In this experiment, Qiaoyu 8, Jundan 20 and Zhengdan 958 were selected as test varieties in 2014, and Demeiya 3 and Nonghua 101 were added in 2015. The test materials were planted in the experimental field of Hebi Academy of Agricultural Sciences, using random block design, 3 repetitions, double row block, row length 5 meters, plant spacing 22cm, row spacing 60cm. The management standard is the same as that of ordinary corn production fields.

[0019] 1.2 Determination of dehydration rate

[0020] In each plot, before the ears are silked, plants with the same growth are selected to artificially cover the ears. After the filaments are drawn out, the ear bags are removed at one time, so that they can receive external pollination uniformly, and the date of pollination is marked on a sign. The investigation and sampling began about 30 days after pollination, and 3-4 uniform pollination ears wer...

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Abstract

The invention belongs to the field of crop breeding, and relates to a method for fast measuring the corn kernel water loss rate based on a regression model and application. The method comprises the following steps of building a regression model of corn kernel water content yn; calculating the corn kernel water loss rate V=(yn-y1) / n; determining the correlation between the water content measured by an oven drying method and readings of a water measuring instrument through SPSS (statistic package for social science) software according to the regression model of the corn kernel water content yn; drawing a scatter diagram; building a regression model y=95.709-2.29x+0.02x<2>, wherein the x is the reading of the water measuring instrument on the corn kernels and bracteal leaves, and the y is the corn kernel water content. The method for fast measuring the corn kernel water loss rate provided by the invention has very important breeding values, and particularly in nowadays that mechanical harvest becomes the major trend of corn industry development; the importance of the method is increasingly shown.

Description

technical field [0001] The invention belongs to the field of crop breeding, and relates to a method and application for quickly measuring the dehydration rate of corn grains based on a regression model. Background technique [0002] With the continuous advancement of corn mechanized harvesting process, the development of corn industry urgently needs corn varieties with fast dehydration and low moisture content when harvested. Mechanized harvesting requires a moisture content of 20%-24% in corn kernels, while most corn in my country has a moisture content of about 30% in physiologically mature kernels, resulting in a breakage rate of 13%-17% in machine-harvested kernels. It not only causes yield loss and lowers the quality level, but also greatly increases the production cost caused by drying. [0003] However, the improvement of grain dehydration speed and water content at harvest is not a simple problem. In the past, the measurement of dehydration rate mostly relied on the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N5/04G01N33/10G06F17/50
CPCG01N5/045G01N33/10G06F30/20
Inventor 郭华王帮太王静王志红杨美丽靳海蕾王要闯申亚飞王瑞英
Owner 鹤壁市农业科学院
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