Американский Научный Журнал STATISTICAL BASIS FOR DETERMINATION OF GENOTYPE TO ENVIRONMENTAL ADAPTATION (4-7)

This study is determined a level of correlation within nine traits, variation, coefficient of determination and similarity of martixes in hairy vetch (Vicia villosa Roth) under control and salinity condition. It was found that a potential index of traits in salinity decreased by 5-17% compared to non-saline soil. The weight of the bean, the number of seed per bean and its weight were strongly determined and varied. Also, a similarity of the correlation matrixes shows as 91.6%. Our results suggests, a hairy vetch is a tolerant to salinity. Скачать в формате PDF
4 American Scientific Journal № ( 41) / 2020
БИОЛОГИЧЕСКИЕ НАУКИ

STATISTICAL BASIS FOR DETERMINATION OF GENOTYPE
TO ENVIRONMENTAL ADAPTATION

Kuliev Tojiddin Xamdamovich*,
Sultonova Kumush Ruzimurod kizi**,
Bakeev Rifat Serverovich*,
Ismoilova Karomatkhon Maxmudjonovna*
*Gulistan state University,
** Samarkand State Veterinary Medical Institute
DOI: 10.31618/asj.2707 -9864.2020.3.41.36
Abstract . This study is determined a level of cor relation within nine traits, variation, coefficient of
determination and similarity of martixes in hairy vetch (Vicia villosa Roth ) under control and salinity condition.
It was found that a potential index of traits in salinity decreased by 5 -17% compar ed to non -saline soil. The weight
of the bean, the number of seed per bean and its weight were strongly determined and varied. Also, a similarity of
the correlation matrixes shows as 91.6%. Our results suggests, a hairy vetch is a tolerant to salinity.
Ke y w ords : Correlation, determination, variation, saline soil, martix of correlation, hairy vetch .

Introduction
The environment, especially the soil provides a
usuful macro and micro elements for plant growth and
development. Plant traits are formed based on its
genetic potentials. Therefore, a quantitive traits can
vary among genotypes. A strong variation of
quantitative traits still remained as a actual issues in
genetics and breeding. Although quantitative traits
have been studied for more than 150 years , t heir
genetics has not been fully studied yet [1].
Using a modern technologies and innovations in
biological research, it has been determined that
environmental factors influences a systemic alteration
of organims. Therefore, it is recommended ecological ,
biological, eco -biological and genotypic trait -
indicators [2].
The level of soil salinity is known to provide a
stressful condition for the plant. In the saline soil, Na +
cations and CI - ions are toxic response. Under the
influence of salts, the osmotic pre ssure of the soil
solution increases, as a result, the root does not receive
the required amount of water. Therefore, the plant
productivity is significantly decreased [3,4].
Natural environmental conditions allow plants to
adapt under salinity. It has bee n found that harvested
cereals from dry climates are more tolerant to salinity
than harvested from humidity conditions [5].
Along the salinity stress, there are other factors,
such as an agronomic measures, including sowing rate
and duration, am ount of min eral fertilizers may also
create a unfavorable conditions for plant growth and
development. For instance, the level of variation of
traits in sunflower plant were increased under stressfull
condition than normal conditions. Also, it was noted
that the degr ee of correlation between characters
increased when winter wheat were planted a bit late and
thick. In moderate salinity conditions, a bean weight
and length of vetch is decreased by 25% and 4.8%
respectively compared to weakly saline conditions
[6,7].
The effect of steroid s has been mainly studied as
an increase of plant adaptation to soil salinity levels. In
saline soil conditions, the coefficient of determination
was 0.8 -0.11 without steroid treatment , while it was -
0.03 -0.04 under the influen ce of compo unds of
steroid s. This indicates that the compounds of a steroid s
can create suitable conditions for the growth and
development of wheat under salinity [8].
In general, the extemal environment allows to
survive of adaptive and specific genotype s. As an
example, there are many halophytes and salt -tolerant
plants that are common in the Mirzachul lands (highly
saline area). Those plants may a crusial for breeding.
However, there is no considerable criteria to
determination of plant tolerance in ter ms of scien tific
methods so far. For this reason, the selection and
creation of new genotypes as a stress tolerant remains
one of the urgent tasks for current plant breeding. Our
study provides some information to improve the
methods for determining the to lerance of plants to
salinity stress. The main purpose of the work is to study
of statistical basis for determining the tolerance of hairy
vetch to soil salinity levels.
Materials and methods
Plant Materials. The object of the experiment
wasA hairy vetch (Vicia villo sa Roth) plant was used
in this study. As a non saline soil treatment, hairy vetch
collected from Zaamin district of Jizzakh region. As a
saline soil treatment, hairy vetch collected from
Mirzaabad district of Syrdarya region.
Data analys is. After harvesti ng of yield from
saline and non -saline soils condition, the quantitate
parameters of beans were measured. The data was
statistically analyzed using the SPSS -14 program. It is
includeed the correlation (r), determination (r 2) and
coeffici ents of variabilit y (Cv,%) [9]. A similarity of
the correlation matrix was determined according to
N.S. Rostova method [2].
Results and discussion
Our results shows that the level of soil salinity was
affected to the bean featuries. The weight of bean was
0.18 g in non -sali ne soil conditions and 0.14 g in saline
soil conditions. The difference between them was
19.1%. Similar results were observed at length of bean.
A length of bean was 2.72 sm in non -saline soils and
2.28 sm in saline soils, the differe nce was 16.06%.

American Scientific Journal № ( 41) / 2020 5

Other featuries such as width of bean, number of seed
in legume, weight of seeds, and weight of 100 seeds
were 5 -11% lower in saline soil conditions than control.
Non -polinated bulbs was a higher percentage in saline
than non saline conditi on, as 34.85% and a 16 .99 %
respectively. A grain yield (percentage of grain in
legumes) was also higher than other featuries in saline
soil conditions (Table -1).
Our biometrical analysis showed that the soil
salinity levels affected to the variation of ha iry vetch
traits. This results stimulated to study the specific
features of trait variations.The data is shown in Figure -
1. The weight of bean (1), the number of seeds per bean
(5) and weight of seeds (6) were found as a strongly
determined and varied. Suc h result was also obse rved
in saline and non -saline soil conditions. It means that
these traits are strongly associated with other traits.
Therefore, this traits clearly depend both genotype and
the external environment, which allows to determine
adaptabil ity. These traits can be called an eco -
biological indicators.
Table -1.
Effect of levels of salinity stress on potential characters of legum.
Statistic
characters
Weight
of bean
(g)
Length
of bean
(mm)
Width
of bean
(mm)
Thickness
of bean
(mm)
Number
of seeds
per
bean
Weight
of seed
per
bean
Harvest
index ,%
Weight
of
1000
seeds
(g) ,
Non
pollinated
bolts ,%
Legum under control
The arifmetic
mean
0,18
±0.01
2,72
±0.03
0,71
±0.01
0,52
±0.01
3,20
±0.15
0,12
±0.01 63,57± 1.35 3,71
±0.12
34,85
±2.76
Minimum 0,09 2,20 0,55 0,39 2,00 0,06 43,75 2,00 0,00
Maximum 0,34 3,30 0,90 0,65 6,00 0,24 87,50 6,33 60,00 r2 0,34 0,08 0,03 0,22 0,33 0,40 0,2 1 0,10 0,28
Cv,% 27,7 8,37 10,7 14.0 32,8 37,4 15,1 23,4 56,2
Legum under saline soil
The arifmetic
mean
0,14
±0.01
2,28
±0.04
0,67
±0.01
0,49
±0.01
2,98
±0.16
0,10
±0.01
69,62
±1.39
3,53
±0.11
28,93
±2.61
Minimum 0,06 1,50 0,51 0,39 1,00 0,03 40,00 2,00 0,00
Maximum 0,25 3,10 0,80 0,65 6,00 0,19 87,50 5,50 66,67 r2 0,37 0,21 0,02 0,15 0,34 0,39 0,14 0,06 0,19
Cv,% 33,6 13,1 8,2 13,9 38 38,8 14,1 21,7 63,9
Effect,% -19.1 -16.06 -5.04 -5.86 -6.87 -11.43 +9.51 -4.89 -16.99
Note: here, r2- determination, Cv,% coefficent of variation.

The length of bean (2), thickness of bean (4)
weight of 100 seeds (7) were moderately determined
and less variable. Although the variation of these traits
are not independent, it can be called a biological
indicators. Because, a multiple biological features are
summed in genotype.
The width of bean (3 ) was less determined and less
variable in both co nditions (Table -1 and Figure -1). It
means, this trait can variable independently and less
variable to environmental responses. Therefore this
trait is called a genotypic indicator.

control Salinity
Figure -1. Effect of salinity to variation of traits( Cv,% ) and determination (r 2 ). Numbers mean a traits:
1- weight of bean; 2 - length of bean; 3 - width of bean; 4 - tickness of bean; 5 - number of seed per bean;
6- weight of seed per bean; 7 - weig ht of 100 seeds; 8 - harvest index; 9 - non -pollinated bolts.

The soil salinity is not only affected to the
quantitative traits, meantime, it also influence to the
degree of correlational relashinships. The average
coefficient of determination was 0.08 and 0 .21 in non -
saline and saline soil conditions respectivily . It
indicates that this trait is strongly influenced by soil
salinity. The level of correlational relationships
between quantitative traits also confirmed in Figure -2. 0
10
20
30
40
50
60
0 0,1 0,2 0,3 0,4 0,5
6
1
5
9
4
7
8
2
3
CV,%
r2 0
10
20
30
40
50
60
70
,000 ,100 ,200 ,300 ,400 ,500
6
1 5
9
2 4,7
8
3
CV.%
r2

6 American Scientific Journal № ( 41) / 2020
A strong correlation was obser ved between the weight
of bean (1), the number of seeds p er bean (5), and the
weight of seeds per bean (6) in both conditions. The
correlation coefficient between these characters was
higher than r = 0.7. The correlation between weight of
bean (1) and leng th of bean (2) and the number of seeds
per bean (5) showe d a weak determination (r = 0.3) in
non -saline soil conditions. However, this trait was
modarate value (r = 0.61) in saline soil conditions.
Same results were observed between the number of
seeds per bean (5) and the weight of 100 seeds (7). It is
also fou nd an inverse correlation between the number
of non -pollinated bulbs (9) and the weight of bean (1),
the length of bean (2), the thickness of bean (4), the
number of seeds per bean (5), the weight of bean (6)
weight of 100 seeds (7). It means, the weight o f bean, a
number of seeds and weight of seeds dropped when the
number of unpollinated bulbs are higher. The number
of unpollinated bulbs increased in saline soil
conditions.
The figure -1 shows that t he level of soil salinity
affected to the level of correl ational relationships
between the plant traits. But it is difficult to determine
how they are similar or different. In this case, it is
recommended to use the method of comparison of
correlation matr ixes. The results indicated that the
similarity of the co rrelation matrixes was 91.6%. If the
similarity of the matrixes is higher than 90%, it is called
a highly similar matrixes [2]. Hence, the very similarity
of the correlation matrixes suggests that th e soil salinity
levels did not strongly influence to vika traits. This
indicates that the hairy vetch is a salt tolerance plant.
The hairy vetch was also noted as a tolerant by other
researchers [10].


Conclusion
1. Approximately a 5 –17% of quantitive features
shows a lower value in salinity condition than in control
condition.
2. A quantitive traits including a bean weight,
number of grai ns in the bean and a weight of gain were
strongly determined in both conditions.
3. The similarity of the correlation matrix was a
91.6%. It mea ns a hairy vica is a tolerant to salt.
4. The method of comparing a correlation matrix
can be used to compare ge notypes.

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Figure -2. Level of corrilation.
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Note : Numbers mean a traits and lines mean a level of correlation between traits :

r=0.3 -0.5; r=0.5 -0.7; r=> 0.7; r= -0.3 -0.5; r= -0.5 -0.7

А

American Scientific Journal № ( 41) / 2020 7

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