CN110810173B - Method for identifying cold resistance of cabbage type winter rape by root system characters - Google Patents
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- 240000000385 Brassica napus var. napus Species 0.000 title claims abstract description 84
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Abstract
The invention belongs to the field of plant cold-resistant type identification, and relates to a method for identifying cold resistance of cabbage type winter rape by using root system characters, which comprises the steps of carrying out seedling stress test on seeds; treating at different low temperatures; analyzing and measuring the surface area and the projection area of the root system; carrying out field overwintering rate test on seeds in the field by adopting a completely random block design; calculating the weighted average or the arithmetic average of the surface area of the root system and the projection area of the root system in different treatments; constructing a linear regression equation between the overwintering rate and the surface area and the projection area of the root system under different low-temperature treatments; repeating the previous steps, and calculating the weighted average or the arithmetic average of each variety to be identified under different temperature treatment conditions; and identifying the cold resistance of the cabbage type winter rape through the constructed multiple linear regression equation. The invention has the advantages of simple operation, short identification period and relatively reliable result.
Description
Technical Field
The invention belongs to the field of plant cold resistance identification, relates to a method for identifying cold resistance of cabbage type winter rape by using root system characters, and particularly relates to a method for identifying cold resistance of cabbage type winter rape by using root system characters of winter rape under low-temperature stress.
Background
In cold and arid regions in the north, the climate is dry and rain-less, general crops are difficult to live through the winter safely in the regions, the farmland is idle in winter and spring, the vegetation coverage rate is low, sand storm and dusty weather are easy to occur, the adverse effect on the life and production of people is caused, and the damage to the agricultural ecological environment is particularly obvious. The planting of winter rape in cold and dry areas is not only beneficial to increasing the vegetation coverage of cultivated land in winter and spring, but also beneficial to increasing the economic income of unit area. The breeding of winter rape cold-resistant varieties is the key of the winter rape planting in the region, and the accurate identification of germplasm cold resistance is always a difficult problem in winter rape cold-resistant breeding practice. The research on the winter rape germplasm cold resistance identification method is significant for improving the cold resistance breeding efficiency of winter rape. At present, the main indexes of winter rape cold resistance evaluation are morphological characteristics of overground parts of rape, physiological parameters of leaves, statistical population overwintering conditions and the like. The morphological physiological indexes can rapidly measure the cold resistance of a single plant, but the accuracy and the repeatability of an evaluation result are not high; the winter rate can accurately reflect the cold resistance of a variety group, but the winter rate is long in measuring time and cannot be used for evaluating the cold resistance of a single plant, and the like.
Disclosure of Invention
In order to solve the technical problems in the background art, the invention provides the method for identifying the cold resistance of the brassica rapa pekinensis winter rape by utilizing the root system characters, which is simple to operate, short in identification period and relatively reliable in result.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for identifying cold resistance of Chinese cabbage type winter rape by utilizing root system characters is characterized by comprising the following steps: the method comprises the following steps:
1) disinfecting seeds of the cabbage type winter rape, sowing the seeds in a pot filled with vermiculite or nutrient soil, and placing the pot in a plant incubator for illumination culture;
2) after the seedlings in the seedling stress test in the step 1) grow to a six-leaf stage, respectively treating the seedlings at different low temperatures;
3) by ddH2Washing vermiculite or nutrient soil at the root of the seedling, absorbing attached water at the root of the seedling by using sterilizing filter paper, selecting the seedling with integrally consistent growth vigor from each low-temperature treatment, scanning by using a plant root scanner, and analyzing and determining root system surface area RSA and root system projection area RPA under different low-temperature treatments by using a root system form and structure analysis application system;
4) carrying out field overwintering rate test on seeds of the Chinese cabbage type winter rape variety in the field by adopting a completely random block design, and counting the overwintering rate;
5) analyzing the correlation between the root surface area RSA and the root projection area RPA of the cabbage type winter rape variety and the overwintering rate under the condition of different low-temperature treatment in the step 2), and calculating the weighted average of the root surface area RSA and the root projection area RPA under the condition of different temperature treatment or calculating the arithmetic average of the root surface area RSA and the root projection area RPA under the condition of different temperature treatment;
6) constructing a linear regression equation between the winter passing rate of the cabbage type winter rape and the root system surface area RSA and the root system projection area RPA under different low-temperature treatment;
7) selecting a cabbage type winter rape variety to be identified, and repeating the steps 1) to 3), so as to obtain the root surface area and the plant root projection area of the cabbage type winter rape variety to be identified; calculating to obtain a weighted average or an arithmetic average of the root surface areas of the cabbage type winter rape variety to be identified under different temperature treatments, and calculating to obtain a weighted average or an arithmetic average of the root projection areas of the cabbage type winter rape variety to be identified under different temperature treatments;
8) substituting the weighted average or the arithmetic average of the root surface area of the cabbage type winter rape variety to be identified, which is obtained by the calculation in the step 7), under different temperature treatment, and the weighted average or the arithmetic average of the root projection area of the cabbage type winter rape variety to be identified, which is obtained by the calculation, under different temperature treatment, into the linear regression equation which is constructed in the step 6), and solving the theoretical overwintering rate of the cabbage type winter rape variety to be identified under different temperature treatment; and identifying the cold resistance of the cabbage type winter rape variety to be identified according to the theoretical overwintering rate.
The conditions of the illumination culture in the step 1) are as follows: the illumination is carried out for 12 hours every day, and the illumination intensity is 600 mu mol/(s.m)2) Day/night temperature (25. + -.1)/(20. + -.1). degree.C., relative humidity 60%.
The low-temperature treatment in the step 2) is respectively carried out at the temperature of 4 ℃, 4 ℃ and 8 ℃ below zero; the low-temperature treatment time is not less than 72 h.
The formula for calculating the overwintering rate in the step 4) is as follows: the overwintering rate (%) is the number of revived surviving seedlings/the number of pre-winter basic seedlings × 100%.
The linear regression equation in the step 6) is a multiple linear regression equation of a weighted average or a multiple linear regression equation of an arithmetic average;
when the linear regression equation is a multiple linear regression equation of the weighted average, the expression of the multiple linear regression equation of the weighted average is: y ═ 11.27+1.208C1+8.946C 2;
wherein:
y is the actual overwintering rate;
c1 is the weighted average of root surface area;
c2 is the weighted average of the projected area of the root system;
when the linear regression equation is a multiple linear regression equation of arithmetic mean, the expression of the multiple linear regression equation of arithmetic mean is:
wherein:
y is the actual overwintering rate;
The specific mode for identifying the cold resistance of the cabbage type winter rape variety to be identified according to the theoretical overwintering rate in the step 8) is as follows: when Y ' of the multiple linear regression equation is more than or equal to 85% of the variety with strong cold resistance, more than 85% of Y ' is more than or equal to 75% of the variety with strong cold resistance, more than 75% of Y ' is more than or equal to 65% of the variety with cold resistance, more than 65% of Y ' is more than or equal to 55% of the variety with weak cold resistance, and less than 55% of Y ' is the variety with no cold resistance.
The invention has the advantages that:
the invention provides a method for identifying cold resistance of cabbage type winter rape by utilizing root system characters, which comprises the steps of cultivating winter rape to be identified in an experimental incubator or a greenhouse to a six-leaf stage, respectively treating the winter rape to be identified under 4 ℃ (T0), -4 ℃ (T1) and-8 ℃ (T2) for 72 hours, then utilizing a root system scanner to measure the surface area and the projection area of the root system under three treatment conditions, then utilizing a formula to calculate a weighted average or an arithmetic average, then substituting a linear regression equation to calculate the theoretical overwintering rate, and judging the cold resistance of the winter rape according to the range of the theoretical overwintering rate. The method overcomes the defects of the traditional rape overwintering rate statistics, physiological biochemistry and molecular marking methods, is simple to operate, has short identification period, can complete the whole experimental process under the laboratory condition, and has relatively reliable results. The invention establishes the quantitative relation between the cold resistance and the root system index by utilizing the correlation between the morphological correlation characters and the cold resistance of the root system of the cabbage type winter rape under the low temperature stress, and provides a brand new method for identifying the cold resistance of the cabbage type winter rape.
Detailed Description
The invention provides a method for identifying cold resistance of cabbage type winter rape by utilizing root system characters, which comprises the following steps:
1) and (5) seedling low-temperature stress test. The seeds of the obtained cabbage type winter rape variety are disinfected and sowed in pots (12 x 12cm) filled with vermiculite or nutrient soil, and 3 holes are sowed in each pot. Placing in a plant incubator for light culture (day light for 12h, light intensity of 600 μmol/(s.m2), day/night temperature (25 + -1)/(20 + -1) deg.C, relative humidity 60%).
2) After the seedling grows to the six-leaf stage, the seedling is respectively treated for 72h at 4 ℃ (T0), -4 ℃ (T1) and-8 ℃ (T2).
3) By ddH2O quickly washing vermiculite or nutrient soil at the root of the seedling, absorbing dry attached water by using sterilizing filter paper, selecting 3 seedlings with integrally consistent growth vigor from each treatment, using an Epson plant root system scanner EPSON EXPRESSION 10000XL 1.0(http:// www.epson.com.cn /) to scan, analyzing and measuring the Root Surface Area (RSA) and the Root Projection Area (RPA) through a root form and structure analysis application system WinRHIO Pro 2005b, and calculating the average value of the repetition of the seedlings under the three treatments of T0, T1 and T2 respectively, wherein the average value represents the root surface area (PSA) and the Root Projection Area (RPA) under the three treatments.
4) And (3) carrying out a field overwintering rate test on the seeds of the Chinese cabbage type winter rape variety in the field by adopting a completely random block design, and counting the overwintering rate. The overwintering rate is counted by adopting a completely random block design, three times of repeated experimental setup and a field management method as well as a local Chinese cabbage type winter rape management method. The formula of the overwintering rate is as follows: the overwintering rate (%) is the number of revived surviving seedlings/the number of pre-winter basic seedlings × 100%.
5) Analyzing the correlation between the root surface area and the root projection area of the Chinese cabbage type winter rape variety under the treatment conditions of 4 ℃, 4 ℃ below zero and 8 ℃ below zero and the overwintering rate, and then calculating the weighted average of the root surface area and the root projection area under the conditions of T0, T1 and T2 or calculating the arithmetic average under the three treatment conditions by taking the proportion of the correlation coefficient to the sum of the correlation coefficients under the three treatment conditions as the weight. The results of the correlation analysis are shown in table 1.
TABLE 1
The calculation formula of the weight in the step 5) is as follows: f (i) ═ r (i)/(r)(T0)+r(T1)+r(T2))；
Wherein:
f (i) is the weight of the correlation coefficient to all process correlation coefficients under different temperature processes;
r (i) represents the correlation coefficient under different temperature treatment;
i is different temperature treatment conditions, i ═ T0, T1, or T2; the weighted average calculation formula in step 5) is as follows:
C1＝X1(T0)×f1(T0)+X1(T1)×f1(T1)+X1(T2)×f2(T2)
C2＝X2(T0)×f2(T0)+X2(T1)×f2(T1)+X2(T2)×f2(T2)
wherein:
c1 is the weighted average of root surface area;
c2 is the weighted average of the projected area of the root system;
X1(T0)is the root surface area in the T0 treatment;
X1(T1)is the root surface area in the T1 treatment;
X1(T2)is the root surface area in the T2 treatment;
X2(T0)is the projected area of the root system in the T0 process;
X2(T1)is the projected area of the root system in the T1 process;
X2(T2)is the projected area of the root system in the T2 process;
f1(T0)refers to the weight of root surface area in the T0 treatment;
f1(T1)refers to the weight of root surface area in the T1 treatment;
f1(T2)refers to the weight of root surface area in the T2 treatment;
f2(T0)the weight of the projection area of the root system in the T0 processing is defined;
f2(T1)the weight of the projection area of the root system in the T1 processing is defined;
f2(T2)the weight of the projection area of the root system in the T2 processing is defined;
the arithmetic mean in step 5) is a weighted mean with equal weights, and the formula is:
X1(T0)is the root surface area in the T0 treatment;
X1(T1)is the root surface area in the T1 treatment;
X1(T2)is the root surface area in the T2 treatment;
X2(T0)is the projected area of the root system in the T0 process;
X2(T1)is the projected area of the root system in the T1 process;
X2(T2) Is the projected area of the root system in the T2 process.
6) Constructing a linear regression equation among the wintering rate of the cabbage type winter rape, the surface area of a root system and the projection area of the root system, wherein a multiple linear regression equation of the weighted average is Y equal to 11.27+1.208C1+8.946C 2;the multiple linear regression equation with arithmetic mean is
Y of the regression equation represents the actual wintering rate.
7) Selecting a cabbage type winter rape variety to be identified, and repeating the steps 1) to 3), so as to obtain the root surface area and the plant root projection area of the cabbage type winter rape variety to be identified; calculating to obtain a weighted average or an arithmetic average of the root surface areas of the cabbage type winter rape variety to be identified under different temperature treatments, and calculating to obtain a weighted average or an arithmetic average of the root projection areas of the cabbage type winter rape variety to be identified under different temperature treatments;
8) substituting the weighted average or the arithmetic average of the root surface area of the cabbage type winter rape variety to be identified, which is obtained by the calculation in the step 7), under different temperature treatment, and the weighted average or the arithmetic average of the root projection area of the cabbage type winter rape variety to be identified, which is obtained by the calculation, under different temperature treatment, into the linear regression equation which is constructed in the step 6), and solving the theoretical overwintering rate of the cabbage type winter rape variety to be identified under different temperature treatment; and identifying the cold resistance of the cabbage type winter rape variety to be identified according to the theoretical overwintering rate. The specific mode for identifying the cold resistance of the cabbage type winter rape variety to be identified according to the theoretical overwintering rate in the step 8) is as follows: when Y ' of the multiple linear regression equation is more than or equal to 85% of the variety with strong cold resistance, more than 85% of Y ' is more than or equal to 75% of the variety with strong cold resistance, more than 75% of Y ' is more than or equal to 65% of the variety with cold resistance, more than 65% of Y ' is more than or equal to 55% of the variety with weak cold resistance, and less than 55% of Y ' is the variety with no cold resistance.
The theoretical basis of the method for identifying the cold resistance of the cabbage type winter rape by utilizing the root system characters provided by the invention is as follows: with the temperature reduction, the Root Surface Area (RSA) and the Root Projection Area (RPA) of the cabbage type winter rape variety are both obviously reduced, and the 2 Root morphological parameters of the weak cold-resistant variety are reduced more greatly. The winter-crossing rate of the cabbage type winter rape varieties and RSA and RPA are all in obvious positive correlation with the cold resistance of the varieties (p)<0.01 or p<0.05). Root system table under T0, T1 and T3There is a significant positive or very significant positive correlation between the area, weighted average or arithmetic average of the projected area of the root system, and the rate of overwintering. Establishing a multiple linear regression equation of the overwintering rate, the root surface area and the weighted average of the root projection area C1 and C2 of the cabbage type winter rape variety as Y being 11.27+1.208C1+8.946C2 or the multiple linear regression equation of the arithmetic average X1 and X2 as
The method comprises the steps of measuring the root surface area and the root projection area of the root system of the winter rape plant under the conditions of T0, T1 and T2, calculating a weighted average or directly calculating an arithmetic average, substituting the arithmetic average into a multiple linear regression equation to obtain a corresponding theoretical overwintering rate Y 'value, and thus achieving the purpose of judging the cold resistance of the cabbage type winter rape according to the theoretical overwintering rate Y'.
The variety of the Chinese cabbage type winter rape to be identified comprises: long you No. 6, Long you No. 9, Tian you No. 4, Dong you No. 7, Yan you No. 2.
Example (b): 2016 experiment base of Gansu agricultural university in Shang Chuan town of Lanzhou
1) And (5) seedling stress test. The obtained 10 parts of seeds of the cabbage type winter rape variety are sterilized and sowed in pots (12X 12cm) filled with vermiculite or nutrient soil, and 3 holes are sowed in each pot. Placing in a plant incubator for light culture (day light for 12h, light intensity of 600 μmol/(s.m2), day/night temperature (25 + -1)/(20 + -1) deg.C, relative humidity 60%).
2) After the seedling grows to the six-leaf stage, the seedling is respectively treated for 72h at 4 ℃ (T0), -4 ℃ (T1) and-8 ℃ (T2).
3) By ddH2O quickly washing off vermiculite at the root of the seedling, absorbing the attached water by using sterilizing filter paper, selecting 3 seedlings with integrally consistent growth vigor from each treatment, scanning by using an Epson plant root system scanner EPSON EXPRESSION 10000XL 1.0(http:// www.epson.com.cn /), analyzing and measuring the Root Surface Area (RSA) and the Root Projection Area (RPA) by using a root form and structure analysis application system WinRHIO Pro 2005b (Kasra et al, 2017), calculating the average value of the repetition of the seedling under the three treatments of T0, T1 and T2 respectively, and respectively representing the root surface area under the three treatments(PSA) and Root Projected Area (RPA).
4) And (5) carrying out statistical test on the overwintering rate. Adopting a completely random block design, and setting up three times of repetition of the test; the 10 parts of the cabbage type winter rape variety seeds are subjected to surface disinfection, and are sowed in the Qinwangchuan test base (36.05-degree N, 103.67-degree E; 2180m) of Gansu agriculture university in Gansu province in 2016 and 20 days, and the test is set up for three times. Each cell is 3 rows, the row spacing is 20cm, the row length is 1.5m, the plant spacing is 10cm, and the field management method is the same as the local Chinese cabbage type winter rape management method. Thinning and final singling are carried out 12 days in 10 months in the current year, seedlings before winter are investigated 20 days 12 months before winter, survival seedlings are investigated after turning green for 27 days in 3 months next time, and the overwintering rate of 10 parts of cabbage type winter rape varieties in the area is counted.
5) The method comprises the steps of analyzing the root surface area and the root projection area of 10 varieties of Chinese cabbage type winter rape and the correlation between the overwintering rate and the root surface area under the conditions of 4 ℃, 4 ℃ and 8 ℃, and then calculating the weighted average or the arithmetic average under the conditions of T0, T1 and T3 by taking the proportion of the correlation coefficient to the sum of the correlation coefficients under the three treatment conditions as the weight.
6) Constructing a linear regression equation among the overwintering rate, the root surface area and the root projection area of the cabbage type winter rape in the region, wherein the multiple linear regression equation of the weighted average and the linear regression equation is Y11.27 +1.208C1+8.946C 2; the multiple linear regression equation with arithmetic mean is
7) Carrying out low-temperature stress test on the seedlings of the variety to be identified, scanning the root surface area and the root projection area of the variety to be identified by using a root scanner, and calculating weighted average numbers C1 and C2 or arithmetic average numbers of the root surface area and the root projection area of the variety to be identified under the condition of different temperature treatment
8) Respectively substituting the weighted average or the calculated average of the root surface area and the root projection area of each variety to be identified into a corresponding regression equation, and identifying the cold resistance of the cabbage type winter rape in the region (Qinwuan test base of Gansu agricultural university) by the calculated theoretical overwintering rate Y ', wherein Y ' is more than or equal to 85% of strong cold-resistant varieties, Y ' is more than 85% of moderate-cold-resistant varieties, Y ' is more than 75% of moderate-cold-resistant varieties, Y ' is more than 75% of 65% of moderate-cold-resistant varieties, Y ' is more than 65% of 55% of weak-cold-resistant varieties, and Y ' is less than 55% of non-cold-resistant varieties.
9) Meanwhile, the field overwintering rate of the identified variety is counted, and the accuracy of the identification test is judged; the concrete steps are the same as those in 3); the results of the experimental identification are shown in tables 2 and 3: the overwintering rates of No. 6 and No. 9 are more than 85 percent, and the strain is a strong cold-resistant variety; the overwintering rate of Tianyou No. 4 is 65-75%, and the Tianyou No. 4 is a cold-resistant variety; the overwintering rate of No. 7 winter oil is 55-65%, and the winter oil is a weak cold-resistant variety; the overwintering rate of Yanyou No. 2 is below 55%, and the variety is not cold-resistant. The result of theoretical overwintering rate identification obtained by calculation according to the root surface area and the root projection area of the variety is completely consistent with the result of field overwintering rate statistical test identification, so that the cold resistance of the cabbage type winter rape can be identified by utilizing the root characters.
TABLE 2
TABLE 3
Claims (6)
1. A method for identifying cold resistance of Chinese cabbage type winter rape by utilizing root system characters is characterized by comprising the following steps: the method comprises the following steps:
1) disinfecting seeds of the cabbage type winter rape, sowing the seeds in a pot filled with vermiculite or nutrient soil, and placing the pot in a plant incubator for illumination culture;
2) after the seedlings in the seedling stress test in the step 1) grow to a six-leaf stage, respectively treating the seedlings at different low temperatures;
3) by ddH2Washing vermiculite or nutrient soil at the root of the seedling, absorbing attached water at the root of the seedling by using sterilizing filter paper, selecting the seedling with integrally consistent growth vigor from each low-temperature treatment, scanning by using a plant root scanner, and analyzing and determining root system surface area RSA and root system projection area RPA under different low-temperature treatments by using a root system form and structure analysis application system;
4) carrying out field overwintering rate test on seeds of the Chinese cabbage type winter rape variety in the field by adopting a completely random block design, and counting the overwintering rate;
5) analyzing the correlation between the root surface area RSA and the root projection area RPA of the cabbage type winter rape variety and the overwintering rate under the condition of different low-temperature treatment in the step 2), and calculating the weighted average of the root surface area RSA and the root projection area RPA under the condition of different temperature treatment or calculating the arithmetic average of the root surface area RSA and the root projection area RPA under the condition of different temperature treatment;
6) constructing a linear regression equation between the winter passing rate of the cabbage type winter rape and the root system surface area RSA and the root system projection area RPA under different low-temperature treatment;
7) selecting a cabbage type winter rape variety to be identified, and repeating the steps 1) to 3), so as to obtain the root surface area and the plant root projection area of the cabbage type winter rape variety to be identified; calculating to obtain a weighted average or an arithmetic average of the root surface areas of the cabbage type winter rape variety to be identified under different temperature treatments, and calculating to obtain a weighted average or an arithmetic average of the root projection areas of the cabbage type winter rape variety to be identified under different temperature treatments;
8) substituting the weighted average or the arithmetic average of the root surface area of the cabbage type winter rape variety to be identified, which is obtained by the calculation in the step 7), under different temperature treatment, and the weighted average or the arithmetic average of the root projection area of the cabbage type winter rape variety to be identified, which is obtained by the calculation, under different temperature treatment, into the linear regression equation which is constructed in the step 6), and solving the theoretical overwintering rate of the cabbage type winter rape variety to be identified under different temperature treatment; and identifying the cold resistance of the cabbage type winter rape variety to be identified according to the theoretical overwintering rate.
2. The method for identifying cold resistance of winter rape of cabbage type according to claim 1, characterized in that: the conditions of the illumination culture in the step 1) are as follows: the illumination is carried out for 12 hours every day, and the illumination intensity is 600 mu mol/(s.m)2) Day/night temperature (25. + -.1)/(20. + -.1). degree.C., relative humidity 60%.
3. The method for identifying cold resistance of winter rape of cabbage type according to claim 2, characterized in that: the low-temperature treatment in the step 2) is respectively carried out at the temperature of 4 ℃, 4 ℃ and 8 ℃ below zero; the low-temperature treatment time is not less than 72 h.
4. The method for identifying cold resistance of winter rape of cabbage type according to claim 3, characterized in that: the formula for calculating the overwintering rate in the step 4) is as follows: the overwintering rate (%) is the number of revived surviving seedlings/the number of pre-winter basic seedlings × 100%.
5. The method for identifying cold resistance of winter rape of cabbage type according to claim 4, characterized in that: the linear regression equation in the step 6) is a multiple linear regression equation of a weighted average or a multiple linear regression equation of an arithmetic average;
when the linear regression equation is a multiple linear regression equation of the weighted average, the expression of the multiple linear regression equation of the weighted average is: y ═ 11.27+1.208C1+8.946C 2;
wherein:
y is the actual overwintering rate;
c1 is the weighted average of root surface area;
c2 is the weighted average of the projected area of the root system;
when the linear regression equation is a multiple linear regression equation of arithmetic mean, the expression of the multiple linear regression equation of arithmetic mean is:
wherein:
y is the actual overwintering rate;
6. The method for identifying cold resistance of winter rape of cabbage type according to claim 5, characterized in that: the specific mode for identifying the cold resistance of the cabbage type winter rape variety to be identified according to the theoretical overwintering rate in the step 8) is as follows: when Y ' of the multiple linear regression equation is more than or equal to 85% of the variety with strong cold resistance, more than 85% of Y ' is more than or equal to 75% of the variety with strong cold resistance, more than 75% of Y ' is more than or equal to 65% of the variety with cold resistance, more than 65% of Y ' is more than or equal to 55% of the variety with weak cold resistance, and less than 55% of Y ' is the variety with no cold resistance.
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