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A segmented soybean deterioration tolerance identification method and its application

An identification method and segmented technology, applied in the field of soybean seed identification, can solve the problems of germplasm without germination rate, difficult to distinguish germplasm, single germination rate, etc., to achieve scientific and reasonable identification results, scientific and reasonable identification methods, and identification The effect of accurate data

Active Publication Date: 2022-07-22
GUANGXI ZHUANG AUTONOMOUS REGION ACAD OF AGRI SCI
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Previous identification methods for soybean deterioration often set a specific temperature or degree of treatment, and use a single germination rate to measure. If the deterioration conditions are set too strongly, most of the germplasm will not have a germination rate, and it is difficult to distinguish these germplasms. For the germplasm with zero rate, if the deterioration condition is too mild, the germplasm that is not resistant to deterioration can be distinguished, but the germplasm with strong resistance is above 90%, and the germplasm that is resistant to deterioration cannot be distinguished
Therefore, it is difficult for this traditional identification method to effectively distinguish the resistance to deterioration of all germplasms.

Method used

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  • A segmented soybean deterioration tolerance identification method and its application
  • A segmented soybean deterioration tolerance identification method and its application
  • A segmented soybean deterioration tolerance identification method and its application

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Experimental program
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Effect test

Embodiment 1

[0067] The germination rate of soybean material was calculated by setting different temperature, humidity and treatment days. It can be seen from Table 1 that under the condition of 40 ° C and the humidity of 95% of several soybean germination rate treatments, Guichun No. 8 (more resistant to deterioration) and Guixia No. 1 (not resistant to deterioration) need to be treated for a long time. The germination ability was reduced after the time, and mildew easily occurred when the humidity was 95% soybean treatment, which affected the test results. Under the condition of 50 ℃, the comprehensive germination ability of Guixia No. 1, which is not resistant to deterioration, is only reduced to about 60% when the humidity is deteriorated at 10% and 50% for 20 days, while the comprehensive germination ability of Guichun No. 8, which is more resistant to deterioration There was no significant difference from the control. The germination power of both materials was 0 when the humidity w...

Embodiment 2

[0072] Deterioration resistance of 108 soybean varieties was identified by segmented soybean deterioration identification method. The public control material D1 was Guixia No. 1, and the public control material D2 was Gui 1607.

[0073] The public control material 1 Guixia No. 1 and 50 intact seeds of 140 soybean varieties to be identified were selected for T5 treatment. The test seeds were all seeds harvested in the autumn of 2020, and repeated 3 times. After treatment, the seeds were sterilized in 75% alcohol for 5s, dried naturally and placed in a germination box (12cm*12cm) with 2 layers of germination paper, and then an appropriate amount of purified water was added to the germination box, and then covered Put a layer of germination paper on top, wet it with pure water, cover the germination box and place it in a 25°C environment for germination. After 5 days of germination, count the number of normal buds, the number of slightly damaged buds, the number of damaged buds a...

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Abstract

The invention relates to the field of soybean seed identification methods, and specifically discloses a segmented soybean deterioration tolerance identification method and application thereof. Carry out T5 treatment; (3) carry out germination test; (4) count the number of normal buds, the number of mildly damaged buds, the number of damaged buds and the number of severely damaged buds, and calculate the comprehensive germination power value V=normal bud rate+90%*light (5) Judge the grade of deterioration resistance according to the comprehensive germination force value V; or use different other treatments to further judge the grade of deterioration resistance. This application adopts a segmented identification method, that is, multiple treatment points are set for resistance identification, and the germination ability of soybean materials under different damage degrees is fully considered, and the comprehensive germination ability value is used as the basis for the identification level of deterioration resistance. The deterioration resistance of all germplasms can be identified, and the identification method is more scientific and reasonable.

Description

technical field [0001] The invention belongs to the technical field of soybean seed identification methods, in particular to a segmented soybean deterioration tolerance identification method and applications thereof. Background technique [0002] Southern spring soybeans are faced with high temperature and high humidity conditions when they are mature and after harvesting. The seeds are prone to deterioration, which reduces the vigor of the seeds. During the storage process of soybean seeds at room temperature, the seed vigor is quickly lost due to the high temperature, which seriously affects the southern China. Development of spring soybeans. Soybean originated in my country, my country has abundant soybean germplasm resources, and related studies have shown that there are extremely rich genetic variations in soybean germplasm resources in seed resistance to deterioration. The establishment of a reasonable identification method for soybean deterioration is of great signif...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A01C1/02A01C1/00
CPCA01C1/025A01C1/00
Inventor 陈文杰宁德娇郭小红梁江陈渊韦清源汤复跃
Owner GUANGXI ZHUANG AUTONOMOUS REGION ACAD OF AGRI SCI