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Ergashev Marufjon Makxammatjanovich, teacher, Gulistan State University E-mail: marufjon.ergashev@mail.ru
DEPENDENCE OF THE LEVEL OF CORRELATION LINKS AND STRUCTURE ON COTTON LEAF AND FIBER COLOR
Abstract: The article provides information on the degree of correlation between the quantitative signs of colored leaf and color fiber in the cotton. It has been established that genotype with colored fibers in cotton plants is different from white fiber genotypes. The correlation link between the quantitative parameters of the cereal field formed a group called "Amount of fever". The yellow-green and fiber-rich genotypes of the leaf show strong correlation relationships with the white fibrous green leaf genotypes.
Keywords: genotype, correlation, correlation matrices, link, quantitative and qualitative parameters, colored leaf, colored fiber, fiber index, determination and variation.
The advancement of information technology in our lives, as well as in all spheres, has further enhanced the use of statistical methods in biological research, including correlation analysis. Particularly, the new possibilities for the interconnection of the organisms in the biological area have been studied by the correlation analysis carried out by complex computing. As a result, there was a change in the interaction between the quantitative signs of plants (sunflower, wheat, cotton, rice, linseed, soybean) under the influence of the environment. The correlation between the quantitative signs of varieties of cotton sorts were found to be increased in an unfavorable environment and in low-yield genotypes [3; 4].
Ecological-biological, ecological, genotypic and biological indicators were recommended for the selection of process as a result of statistical methods. This, in turn, plays an important role in the successful completion of selection work [1].
There was shown a correlation between the fiber index and the green color of the fiber (with a lower fiber index) in the hybrids that are intertwined with white color cotton fiber (with a high fiber index).
In F hybrids derived from the mutations of some lines of genetic collection of National University of Uzbekistan were identified as the result of the study of herpes in the background of plant color:
- The marking sign of the fiber is inherited without the condition of alleles of the plant color gene;
- The green (rprp) and intermediate (Rprp) plants obtained in the second generation were higher than 1000 seedlings weight rather than anthocyanic (RpRp) plants;
- The analogous phenomenon has also been observed in plant color and genetics of yield signs [6].
The main purpose of this research was to determine the variation, determination and the extent and structure of correlations between the quantitative signs of genetic and color of cotton genes. Because these researches are important in carrying out selection works.
As the object of experiment, materials of the genetic collection of cotton of the National University of Uzbekistan and hybrids synthesized with their participation were chosen as colorful and cotton fiber. The experiment was conducted in four variants (Table 1). All phenological observations and calculations were carried out on the basis of the methodical instructions issued by Uzbekistan Research Institute of Cotton. SPSS-14 statistical software was used to calculate correlation (r), determination (r2) and variation (cv,%) between the studied characters [2]. In determining the indication of
determinations, Rch, Rm, N. S. Rostova's method was used
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to compare the distance between d = 1r r and their correlation matrices [1].
From the initial statistical data we can see that genotype of cotton varies with quantitative indices. If it was 29.17% in green leaf at fiber output, in green leaf with white fiber gene, it was 33.47%. These white fibrous genotypes show that over 4.3% of the plant genotypes with colored fibers have been found to be fibrous. The same results were recorded by the index of the fiber and the length of the fiber. The length of the fiber is 31.25 mm in the 1 variant, 35.12 mm in the 4th variant. The difference between these options is 3.87 mm.
Table 1. - Quantitative signs of cotton and their statistical indicators
No Variants Fiber output, (%) Fiber indict (g) Weight of cotton boll, (g) Weight of 1000 seedlings, (g) Length of fiber, (mm)
1 2 3 4 5 6 7
1. Green leaf, colored fiber 29.17 ± 0.32 5.52 ± 0.07 4.47 ± 0.07 133.41 ± 1.13 31.25 ± 0.25
1 2 3 4 5 6 7
2. Yellowish-green leaf, colored fiber 28.39 ± 0.61 5.23 ± 0.13 5.86 ± 0.16 131.98 ± 2.31 30.80 ± 0.52
3. Yellowish-green leaf, white fiber 32.93 ± 0.81 6.16 ± 0.14 6.41 ± 0.17 126.28 ± 3.63 34.80 ± 0.56
4. Green leaf, white fiber 33.47 ± 0.35 6.45 ± 0.09 4.53 ± 0.17 129.04 ± 2.05 35.12 ± 0.32
Statistical analysis of primary data shows that the differences between the options are real. This, in turn, was the basis for switching between the variants to the next stage of calculation. This information is shown in (Figure 1). The data in the figure clarified that fiber output (l) (where the number indicates the studied character) and the fiber index (2), 3 and 4 variants of fiber output (l) and 1000 seedling weight (4) are strongly determined (as the square of the correlation coef-
ficient determines the boundary level of the sign depending on the genotype).
In such case, the variation of these characters takes place in the context of others. The length of the fiber (5) was lower in 3 and 4 variants and less varied.
It was noted that cotton weight on the boll (3) was strongly varied in all variants.
30,000 CV,%
25,000 ♦
20,000 3
15,000
10,000
5,000
,000
♦ ♦
0 0,05 0,1 0,15
r2
25 i 20 15 10 5 0
CV,% ♦
3
4
5
0
0,1
0,2
2
1
r2
0,3
1. Leaf is green, colored fiber
2. Leaf is yellowish-green, colored fiber
30,000 20,000 10,000 ,000
CV,%
5
i
0,05
♦ 4
* 1
0,1 0,15
r2
0,2
2
1
5
0,2
25 0,3
3
2
0
3. Leaf is yellowish-green, white fiber 4. Leaf is green, white fiber
Figure 1. Variation of quantitative parameters of cotton (CV,%) and their determination (r2)
Note: Numbers represent signs: 1 -fiber output, 2 -fiber index; 3 -weight of one boll; 4 -weight of 1000 seeds; 5 -length of fiber
gree of correlation between them (Figure 2). In the genotype of green leaf and colored fiber, strong correlation relationships (r > 0.7) between fiber output (l) and fiber index (2) were recorded. The same result was recorded in version 2. In the 3 variation there was a strong but correlated correlation between
Coloring of cotton foliage and fiber influenced the quantitative indices. If the fiber output was strongly determined in all variants, the fiber index was found to be strongly determinant in versions 1 and 2, in the 1000 seed weights 3 and 4. The length of the fiber is low in 3 and 4 variants, that is, in the plant genotypes with white fibers. This has been recognized as an indicator of independent variability.
It was found that strongly varied weight of boll is less determinated.
The color of the leaf and fiber of the cotton also influenced not only variability of the quantitative signs but also the de-
the fiber output (l) and 1000 seed weight (4). Similarly, the correlation link was recorded in variant 4 (r = 0.3-0.7).
The figures 1 and 2 show that the degree of correlation between quantitative characters is strong. It also shows the average determinants of the studied characters. The results of calculations in the 1 and 2 variants of the average deter-
mining coefficient were 0.16, in the 3 and 4 variants - 0.10. Thus, 1 and 2 variants have created inconvenient conditions for genetic varieties of cotton. This can be explained by an increase in the degree of correlation between plant quantitative symptoms under the conditions found in the science. In our opinion, variants and fibrous color options (1 and 2 variants) have created unfavorable conditions for the 3 and 4 options for cotton genotypes. As a result, the degree of correlation between quantitative signs increases.
The color of the leaf yellowish-green and colored fiber was influenced not only by the correlation link between the studied
quantitative characters but also the composition (Figure 3). The quantitative estimates were mainly divided into one correlation group. This group can be called "Amount of Fiber".
The center of the group was contained by fiber output (1) and fiber index (2). Correlation between these indicators was high. Let's mention that the distance between quantitative signs is determined by formula d = 1r. As we have mentioned the higher the correlation coefficient, the closer it is to the distance. The degree of correlation link is as mentioned above in 1 and 2 variants are higher than in 3 and 4 variants.
Figure 2. The degree of correlation between the quantitative signs of cotton genetics
Note: 1 - Green leaf, colored fiber; 2 - Yellowish-green leaf, white fiber; 3 - Yellowish-green leaf, white fiber; 4 - Green leaf, white fiber
Note: Digits refer to the signs (figure 1)
Figure 3. Structure of correlation links
Note: 1 - variant-green leaf, white fiber; 2 - variant-yellowish-green leaf, colored fiber;
3 - variant-yellowish-green leaf, white fiber; 4 - variant-green leaf, white fiber;
Digits refer to signs: 1 -fiber output; 2 -fiber index; 3 - weight of one boll;
4 - weight of 1000 seeds; 5 -fiber length
Comparison of genotype correlation matrices showed was 94%. As you can see from this information, the colored
that comparing results showed the similarity of green leaf fiber of genotype differs from white fiber genotype. Recall
with colored genotypes with green leaf and white fiber geno- that when the similarity of genotypes is higher than 90%, it is
types was 64%, and the similarity between 1 and 2 variants considered to be alike.
Figure 4. Similarity of correlation matrices
Note: Digits refer to signs: 1 - fiber output; 2 - fiber index; 3 - weight of one boll; 4 - weight of 1000 seeds; 5 - length of fiber; F1 - similarity of correlation matrices; F2 - specific features of correlation matrices
The similarity and the difference between the genotypes can be clearly seen from (Figure 4). At the top of the picture there are white and fiber genotypes in 3 and 4 variants, and colored fibers genotypes at the bottom.
This information on cotton leaf and color of fiber impacted the level and correlation links between quantitative signs. It was found that colored fibers genotypes differ from white fibers by genotypes.
1. Green leaf and white fiber genotypes of cotton dominated rather than colored leaf and fiber genotypes with their fiber output and length of fibers.
2. Colored fibrous genotypes were found that fiber output and fiber index, white fiber output genotype, and 1000 seedlings weight, and the fiber length was less determinate.
3. A strong correlation was found between the direct fiber output and fiber index and reverse strong correlation links between the fiber output and the weight of 1000 seeds.
Conclusion
4. The correlation link between the quantitative parameters of the studied cotton found a group called "Amount of fiber". The yellow-green and colored fiber genotypes of the leaf show strong correlation links with the white fiber and green leaf genotypes.
5. The results of comparisons with correlation matrices show that the genotype of the yellowish-green and colored fibers is similar to that of green leafwith white fibers genotype for 64.0%. It witnesses that genotypes with yellowish-green and colored fiber differs from genotypes with white fiber and green leaf.
References:
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2. Shishlyannikova L. M. Mathematical planning of scientific work with statistical package SPSS for Windows 11.5.0 // Teaching-methodical manual,- Moscow, 2005.- 107 p.
3. Kuliev T., Ismoilova D. The effect of productivity on the correlation link between the signs of cotton. Agro Science 2 (26), 2013. - P. 22-24.
4. Kuliev T., Aliboeva D. Impact of external environment on the level and composition of correlation links between the indicators of cotton. Agro science 1 (29), 2014. - P. 20-21.
5. Neely J. W.- Relation of green lint to lint index in Upland cotton. J. Agric. Res., 1943. - 66, -P. 293-306.
6. Musaev D. A., Zakirov S. A., Fatkhullaeva G. N et al. Genetic bases of marking lines of cotton with signal sign lines // Journal Uzbek biology - No. 3. 2004. - P. 75-8.
