scholarly journals Cluster Analysis Of Triticum L. Samples Of Different Ecological And Geographical Origin

2021 ◽  
Vol 24 (2) ◽  
pp. 84-92
Author(s):  
Yulia Chuprina
Keyword(s):  
Cluster Analysis ◽  
Spring Wheat ◽  
Geographical Origin ◽  
Morphological Features ◽  
Experimental Production ◽  
Homogeneous Groups ◽  
Economically Valuable Traits ◽  
And Cluster Analysis ◽  
Purposeful Selection ◽  
Optimal Set

This research paper is devoted to the application of cluster analysis for evaluating samples of soft spring wheat by elements of crop structure. The purpose of the study is to analyse the intraspecific and interspecific variability of morphological features of samples of spring wheat of various ecological and geographical origin according to 8 morphological features. Observations were carried out in 2018-2020 in the training and experimental production centre “Doslidne pole” of the Kharkiv National Agrarian University named after V.V. Dokuchaev. The cluster analysis of the collection of spring wheat samples, which included 76 samples of various ecological and geographical origin, allowed the study to assess the following features: the presence of awns, the colour of awns, the colour of ear scales, the pubescence of leaves, the pubescence of the subcrown internode, the pubescence of the ear internode, the colour of caryopsis, the colour of straw. The results of analysis of the phylogeny of various types of spring wheat by cluster analysis using morphological markers to determine homogeneous groups are presented, and the affected tree of systematic formation of clustering groups is established. Based on the cluster analysis, two separate groups of soft spring wheat samples were identified according to the complex of plant productivity elements. Samples are grouped into each cluster depending on the quantitative characteristics of the crop structure and their interaction with each other. In general, all samples over the years of study showed good results, namely based on “colour of awns”, of particular note are the samples of the Tr. persicumspecies. According to the results obtained, all samples have good indicators, and cluster analysis of soft spring wheat samples allowed identifying groups of plants that exceed the parent forms in the optimal set of economically valuable traits, which would allow for a more purposeful selection of valuable forms based on certain traits

Estimation of Diversity of Living Standards in Polish Voivodships in 2003–2013 Using Principal Components for Multidimensional Functional Data and Cluster Analysis

2016 ◽  
Vol 63 (1) ◽  
pp. 81-97
Author(s):  
Mirosław Krzyśko ◽  
Agnieszka Majka ◽  
Waldemar Wołyński
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Principal Components ◽  
Functional Data ◽  
Principal Component ◽  
Component Analysis ◽  
Living Standards ◽  
Homogeneous Groups ◽  
And Cluster Analysis

The paper presents an estimation of life standard diversity for residents of Polish voivodships in 2003–2013. The principal component analysis was applied for multidimensional functional data and the dendrite method was used for cluster analysis. These methods made it possible to isolate relatively homogeneous groups of voivodships that had similar values of characteristics under consideration, for the whole period at issue.

scholarly journals Genetic affinity of sunflower lines and cluster analysis by morphological traits

Helia ◽  
2020 ◽  
Vol 43 (73) ◽  
pp. 113-122
Author(s):  
Katerina Vedmedeva
Keyword(s):  
Cluster Analysis ◽  
Morphological Traits ◽  
Quantitative Traits ◽  
Oil Content ◽  
Unknown Origin ◽  
Morphological Features ◽  
Genetic Affinity ◽  
Qualitative And Quantitative ◽  
Plant Organ ◽  
And Cluster Analysis

AbstractThe purpose of the study is to identify the use of qualitative and quantitative morphological traits to ascertain genetic affinity and identification of sunflower lines. A collection of 39 sunflower lines was studied according to morphological qualitative traits described in the method of establishing differences, homogeneity, stability and quantitative traits (plant organ size, 1000 seeds weight, oil content). Several lines of unknown origin were identified to each other. The material of the collection of lines proved the possibility of clustering by the method of link analysis on a set of morphological features. Generalized data show that only three lines out of 39 do not correspond to known lineages in their clusters, which is 92% of the correct cluster definition. The results of clustering, identification and breeding records were compared. To be consistent with the breeding records classification, the number of distinguished traits that are not similar must exceed 20 names given to the score.

scholarly journals Cluster analysis of collection material of peas with genes of leafletless type (af) and non-shedding seeds (def)

2021 ◽  
Vol 1 (2) ◽  
pp. 40-44
Author(s):  
A. R. Ashiev ◽  
K. N. Khabibullin ◽  
M. V. Skulova ◽  
A. V. Chegunova
Keyword(s):  
Cluster Analysis ◽  
Agricultural Research ◽  
Vegetation Period ◽  
Sources Of Resistance ◽  
High Productivity ◽  
World Collection ◽  
Economically Valuable Traits ◽  
Technological Effectiveness ◽  
And Cluster Analysis ◽  
Mathematical Data Processing

In the conditions of the south of the Rostov region, there was carried out a comprehensive estimation of 242 collection peas samples of various ecological and geographical origin selected in the world collection of the Vavilov’s ARIPG and other research breeding institutions, and there have been selected 31 samples with a leafletless type (af) and non-shedding seeds (def). The study was carried out in the collection nursery in the fields of the laboratory for legumes breeding and seed production of the FSBSI “Agricultural Research Center “Donskoy” in 2017–2020. The meteorological conditions during the years of study were different during the vegetation period, which made it possible to objectively evaluate the collection samples according to the studied traits. In order to identify the similarities and differences between the samples, there was made cluster analysis. Mathematical data processing and cluster analysis were performed using the software Excel and Statistica 10. Euclidean distance was used as a measure of similarity. On the basis of clustering there was build a hierarchy. As a result, there were identified the varieties ‘Demos’ (Russia), ‘Korall’ (Ukraine), lL-27287l (Russia), ‘Stoik’ (Russia), ‘Stepnyak’ (Ukraine), ‘Priazovsky’ (Russia), ‘Kharvus-3’ (Ukraine), ‘Multik’ (Russia) as the sources of resistance to lodging. According to ‘number of beans per plant’ there were identified the varieties ‘Samarius’ (Russia), ‘OR-2154’ (Russia), ‘L-27287’ (Russia), ‘Aksaysky usaty’ (Russia), ‘Vatan’ (Russia). According to ‘number of seeds per plant’ there were identified the varieties ‘L.176/2000’ (Russia), ‘OR-2157’ (Russia), ‘Pamyati Khangildina’ (Russia), ‘Chernigovsky’ (Ukraine), ‘L-27287’ (Russia), ‘Aksaysky usaty’ (Russia), ‘Vatan’ (Russia). According to ‘seed size’ there was identified the variety ‘Multik’ (Russia). According to high productivity there were identified the varieties ‘L-27287’ (Russia), ‘Aksaysky usaty’ (Russia), ‘Vatan’ (Russia). The study of the collection peas material has identified the sources of economically valuable traits for their use in further breeding for seed productivity and technological effectiveness.

scholarly journals Genetic Diversity and Population Structure of Moroccan Isolates Belong to Alternaria spp. Causing Black Rot and Brown Spot in Citrus

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Lamyaa Zelmat ◽  
Joseph Mbasani Mansi ◽  
Sarra Aouzal ◽  
Fatima Gaboun ◽  
Slimane Khayi ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Population Structure ◽  
Geographical Origin ◽  
Brown Spot ◽  
Black Rot ◽  
Jaccard Coefficient ◽  
Citrus Fruits ◽  
Alternaria Brown Spot ◽  
And Cluster Analysis

Alternaria alternata is one of the most important fungi causing various diseases on citrus worldwide. In Morocco, Alternaria black rot (ABR) and Alternaria brown spot (ABS) are two major diseases causing serious losses in commercial cultivars of citrus. The aim of the present work was to study the genetic diversity and the population structure of isolates belonging to sect. Alternaria obtained from infected citrus fruits, collected from seven provinces at different locations in Morocco (markets, packinghouses, and orchards). Forty-five isolates were analyzed by sequence-related amplified polymorphism (SRAP) markers, and cluster analysis of DNA fragments was performed using UPGMA method and Jaccard coefficient. Cluster analysis revealed that isolates were classified in four distinct groups. AMOVA revealed also a large extent of variation within sect. Alternaria isolates (99%). The results demonstrate that no correlation was found among SRAP pattern, host, and geographical origin of these isolates. Population structure analyses showed that the Alternaria isolates from the same collection origin had almost a similar level of admixture.

scholarly journals Cluster analysis of economically valuable traits of maize hybrids in the conditions of the Saratov Right Bank

2020 ◽  
pp. 14-20
Author(s):  
Lyudmila Aleksandrovna Gudova ◽  
Valeriy Ivanovich Zhuzhukin ◽  
Sergey Aleksandrovich Zaytsev ◽  
Dmitriy Petrovich Volkov ◽  
Albina Yurievna Leovkina
Keyword(s):  
Cluster Analysis ◽  
Analysis Of Variance ◽  
Environmental Conditions ◽  
Geographical Origin ◽  
Large Array ◽  
Maize Hybrids ◽  
Economically Valuable Traits ◽  
Group A

The results of a study of 42 maize hybrids of various ecological and geographical origin by a complex of economically valuable traits in the conditions of the Saratov Right Bank are presented. In order to optimize the breeding process, we used cluster analysis, which allows one to group a large array of hybrids into several groups (classes) that differ in a complex of parameters. As a result of clusterization at the 34th step of iteration, maize hybrids are grouped into 8 clusters according to the main economically valuable traits. It was revealed that the composition of the clusters differs by years of research. The same reaction similarity to environmental conditions was revealed in hybrids: Ross 140 SV and RNIISK 1; Ladozhskiy 292 MV and Ladozhskiy 298 MV; Agata and Dokuchaevsky 190; as well as hybrids Bilyar, Mashuk 171 MV, Mashuk 175 MV, and Baikal. The correct distribution of hybrids across clusters is confirmed by analysis of variance (unorganized repetition). It was established that according to all the studied signs, the differences in the clusters are significant.

The limit of the contemporary financial system in Russia

2020 ◽  
Vol 16 (7) ◽  
pp. 1223-1245
Author(s):  
V.V. Smirnov
Keyword(s):  
Cluster Analysis ◽  
Foreign Currency ◽  
Financial System ◽  
Descriptive Statistics ◽  
High Tech ◽  
Monetary Aggregate ◽  
Internal System ◽  
Monetary Relations ◽  
And Cluster Analysis ◽  
Structural Preservation

Subject. The article focuses on the modern financial system of Russia. Objectives. I determine the limit of the contemporary financial system in Russia. Methods. The study is based on methods of descriptive statistics, statistical and cluster analysis. Results. The article shows the possibility of determining the scope of the contemporary financial system in Russia by establishing monetary relations as the order of the internal system and concerted operation of subsystems, preserving the structure of the financial system, maintaining the operational regime, implementing the program and achieving the goal. I found that the Russian financial system correlated with the Angolan one, and the real scope of the contemporary financial system in Russia. Conclusions and Relevance. As an attempt to effectively establish monetary relations and manage them, the limit of the contemporary financial system is related to the possibility of using Monetary Aggregate M0 to maintain the balance of the Central Bank of Russia. To overcome the scope of Russia’s financial system, the economy should have changed its specialization, refocusing it on high-tech export and increasing the foreign currency reserves. This can be done if amendments to Russia’s Constitution are adopted. The findings expand the scope of knowledge and create new competence in the establishment of monetary relations, order of the internal system and concerted interaction of subsystems, structural preservation of the financial system and maintenance of its operational regime.

ALLOCATION OF SOURCES AND DONORS OF ECONOMICALLY VALUABLE TRAITS FROM THE COLLECTION MATERIAL OF CUCUMBER TO CREATE HIGHLY PRODUCTIVE VARIETIES AND HYBRIDS

1970 ◽  
pp. 45-49
Author(s):  
N. V. Kulyakina ◽  
G. A. Kuzmitskaya ◽  
T. K. Yurechko
Keyword(s):  
Genetic Resources ◽  
Downy Mildew ◽  
Geographical Origin ◽  
Plant Genetic Resources ◽  
Eastern Region ◽  
Biotic And Abiotic Stress ◽  
Climate Conditions ◽  
Damage Degree ◽  
Economically Valuable Traits ◽  
Far Eastern

The downy mildew (peronosporosis) is the most dangerous and harmful cucumber disease in the Far-Eastern region. Its harmfulness is the highest during the period of flowering – fruiting, because it may completely ruin the cucumber plants both in open and protected ground. Use of cucumber sorts with effective genes that are resistant to the disease is the most efficient way to fight cucumber peronosporosis. In this connection the publication adduces the facts of study the sorts and hybrids of different ecological and geographical origin from the genetic resources collection of the N.I. Vavilov All-Russian Institute of Plant Genetic Resources (VIR) in comparison with three zoned sorts of DV NIISH selection – Mig, Khabar, Amurchonok. The aim of researches – to identify the sort samples cucumber according to the main economically valuable traits and also to the degree resistance of genetypes to the main disease of the culture in the region – downy mildew (peronosporosis), for allow to select the source material for the creation of sorts and hybrids, highly productive and resistant to biotic and abiotic stress environmental factors in the monsoon climate conditions of Khabarovsk region. The perspective genetypes having both the resistance to the diseases and productivity are not revealed as a result of the evaluation of the collection of cucumber samples according to their susceptibility by fungus diseases and productivity. Slavyanskiy (Belarus) is more resistant to peronosporosis, especially in 2016 year conditions, although it was inferior to the damage degree of disease to the zoned sorts – Mig, Khabar, Amurchonok. This perspective sample is planned to be used as a source of donors of the main economically valuable traits in a further selective work.

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