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 Typology and characterization of the pampean beekeeping systems

2020 ◽  
Vol 51 (2) ◽  
pp. 299-318
Author(s):  
Tomás Bragulat ◽  
Elena Angón ◽  
Alberto Giorgis ◽  
José Perea
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Rural Areas ◽  
Export Market ◽  
Multivariate Techniques ◽  
High Productivity ◽  
Selection Of Variables ◽  
Socially Relevant ◽  
And Cluster Analysis ◽  
Random Survey

Objective: Identify and characterize the beekeeping systems of La Pampa (Argentina) using multivariate techniques based on the main structural, productive and economic characteristics. Methodology: The data was collected through a random survey of 80 beekeepers. The classification and description of the apicultural systems was based on a multivariate sequence comprising three stages: review and selection of variables, factor analysis and cluster analysis. Results: Factor analysis revealed that the size of the farm and the productive and economic performance of beekeeping jointly explained 66% of the variability. Through cluster analysis, three types of beekeeping have been identified: (i) Subsistence beekeeping grouped 55% of the farms, mainly characterized by small sizes and low productive and economic yields. (ii) Industrial beekeeping concentrated 54% of production in 15% of farms, mainly characterized by large sizes and high productive and economic yields. (iii) Commercial beekeeping grouped 30% of the farms, mainly characterized by high productivity with intermediate sizes. Limitations: The study has been carried out on a few farms due to the difficulty of obtaining answers to all the variables included in the survey. Practical implications: Beekeeping in La Pampa is generally a highly heterogeneous complement of income or family subsistence, with low productivity and low input use. Subsistence beekeeping is a socially relevant system for its contribution to family employment and income in rural areas. Industrial beekeeping is oriented to the export market and has a more competitive scale. Commercial beekeeping is situated on an intermediate scale.

scholarly journals The use of the Ugandan initial grain sorghum forms in the hybridization of the sorghum varieties for forage and food

2021 ◽  
Vol 273 ◽  
pp. 13009
Author(s):  
Vladimir Kovtunov ◽  
Natalia Kovtunova
Keyword(s):  
First Generation ◽  
Geographical Origin ◽  
Vegetation Period ◽  
Grain Sorghum ◽  
Partial Dominance ◽  
High Productivity ◽  
Early Maturing ◽  
Economically Valuable Traits ◽  
Weight Number ◽  
1000 Grain Weight

The problem to develop new early maturing grain sorghum varieties adapted to mechanized harvesting with high productivity and feed advantages, is of great urgency. The purpose of the current work was to study the inheritance of the main economically valuable traits in the first generation hybrids developed in the hybridization between samples of different ecological and geographical origin. In the first generation hybrids Zernogradskoe 88 × Seso 1 and Zernogradskoe 88 × Narosorg 1, there was identified the improvement of 1000-grain weight, number of grains per panicle, and length of a peduncle in comparison with the initial parental forms. In the hybrid combination obtained as a result of hybridization of the varieties Zernogradskoe 88 and Seso 3 there was not identified any positive manifestation of heterosis for the breeding process in the main studied traits. According to the trait ‘plant height’ in all combinations, there was identified overdominance of high-growing forms. According to the protein percentage in grains there was established depression or dominance of lower values of the trait. The inheritance of the trait ‘length of vegetation period’ in the studied hybrids corresponded to the partial dominance of both lower and higher values of the trait.

scholarly journals Homeostaticity of the collection samples of soybeans according to the trait “seed weight per plant”

2020 ◽  
pp. 68-72
Author(s):  
A. R. Ashiev ◽  
M. V. Skulova ◽  
A. V. Chegunova
Keyword(s):  
Seed Weight ◽  
Agricultural Research ◽  
Statistical Processing ◽  
Research Center ◽  
Standard Variety ◽  
High Productivity ◽  
Ecological Adaptability ◽  
Study Results ◽  
Economically Valuable Traits ◽  
Early Ripening

The current paper has presented the study results on the homeostaticity of the collection samples of soybeans according to the trait “seed weight per plant” in the southern part of the Rostov region, conducted on the fields of the FSBSI “Agricultural Research Center “Donskoy” in 2017-2019. The purpose of the research was to determine the homeostaticity of the collection samples of soybeans according to the trait “seed weight per plant”. The objects of the research were 75 samples of soybeans of the middle early ripening group, which varied according to their morphological, biological and economically valuable traits and properties. There have been selected 27 collection samples of soybeans, which significantly exceeded the standard variety in terms of to the trait “seed weight per plant”. The soybean variety ‘Don 21' developed in the FSBSI “Agricultural Research Center “Donskoy” was used as a standard variety. The meteorological conditions during the growing season of soybeans during the years of study were different, which made it possible to objectively estimate the parameters of homeostaticity. For statistical processing of the results obtained, there were used the Dospekhov's methods of analysis of variance, the homeostaticity indices (Hom) were calculated according to V. V. Khangildin. (1984). According to the study results, it was established that the sample ‘Veselovskaya 5', ‘Line 504/11' and ‘PR 110370 OZ 006' had high productivity indices per a plant, along with high homeostaticity indices. There has been recommended to use them in breeding for homeostaticity and ecological adaptability. The highly productive samples ‘Im 55-2', ‘Kyoto', ‘Kofu', ‘Line 696-1', ‘M-91-212006, ‘RZhT Shuna', ‘SVH 14 TOS 1D' have shown a low index of homeostaticity. They could be characterized as the samples responsive to the improvement of environmental conditions and could be recommended as an initial material when developing varieties of intensive type.

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

scholarly journals Differences and similarities in the milk production chain: a comparative analysis with the states of Minas Gerais and Paraná

2021 ◽  
Vol 12 (4) ◽  
pp. 1034-1051
Author(s):  
Adriano Oliveira Cruz ◽  
José Kennedy Lopes Silva ◽  
Elvis Magno da Silva ◽  
Antônio Carlos dos Santos ◽  
Luiz Marcelo Antonialli
Keyword(s):  
Cluster Analysis ◽  
Milk Production ◽  
Technical Assistance ◽  
Methodological Approach ◽  
Minas Gerais ◽  
Production Chain ◽  
High Productivity ◽  
Time Period ◽  
Significant Difference ◽  
And Cluster Analysis

Brazilian agriculture has played a prominent role all over the world, being milk production one of the exponents of the national agribusiness. The states of Minas Gerais and Paraná are protagonists in the milk production business in the country. The objective of this study was to evaluate the differences and similarities of the milk production chain in these two states, considering the period from 2008 to 2017, in order to investigate their dynamics and their competitiveness. The methodological approach adopted in the research was of a quantitative nature, with the use of the software “Statistical Package for the Social Sciences” (SPSS), which allowed the analysis to be carried out with the statistical techniques of analysis of variance (Anova) and cluster analysis. Ward’s agglomerative method and discriminant analysis were also adopted. The state of Minas Gerais presented a superior milk production chain in comparison with Paraná in every year analyzed; however, statistically there was no significant difference in the milk production from 2009 to 2017. Paraná presented better milk productivity averages as compared to Minas Gerais; it was highly significant (1%) from 2008 to 2016 and significant (5%) in 2017. The results of the cluster analysis indicated that, due to the fact that Paraná has higher productivity indexes in relation to Minas Gerais, its limits are better in relation to Minas Gerais in the analyzed aspects. It was found that some municipalities that are considered to have high productivity in Minas Gerais do not enter this same group in Paraná. It can be said that Paraná was shown to be more efficient in the milk production chain as compared to Minas Gerais in the analyzed time period. The article indicates the need to improve the technology used in the milk production chain, so that the numbers related to productivity can be improved. In addition, it was found that it is necessary to invest in genetics and technical assistance so that milk producers in the states surveyed can become more competitive.

scholarly journals State and prospects of development of tomato breeding in modern market conditions

2021 ◽  
pp. 11-15
Author(s):  
I. V. Kozlova
Keyword(s):  
Vegetation Period ◽  
Fruit Shape ◽  
Climatic Conditions ◽  
F1 Hybrids ◽  
The South ◽  
High Productivity ◽  
Open Ground ◽  
Economically Valuable Traits ◽  
Functional Male Sterility ◽  
Production Technologies

Relevance. To meet the needs of the population and commodity producers in the south of Russia in tomatoes, it is necessary to develop varieties and hybrids of various directions that have high productivity, increased fruit quality and resistance to fungal and bacterial diseases, that meet modern production technologies and market requirements, as well as have an acceptable price for seeds.Aim of study – creation of new maternal tomato lines with functional male sterility for open ground for various purposes (for fresh consumption, whole-fruit canning,), which will make it possible to create highly productive hybrids that meet the agro-climatic conditions of the south of Russia in the future.Materials and methods. The studies were carried out in a breeding film greenhouse and in field conditions on the territory of the experimental plot of FSBSI "Federal Scientific Rice Centre" of the central soil-climatic zone of Krasnodar region. The object of research were mid-ripening tomato varieties included in the competitive testing, sterile tomato lines, new F1 hybrids based on FMS, collection and breeding material. The types of crosses used in the work: analyzing, saturating, top-crosses. To speed up the process of developing new sterile tomato lines in winter, artificial climate chambers were used.Results. As a result of the research, promising new functionally sterile lines of tomato were identified, differing in the length of the vegetation period, weight, color, fruit shape, biochemical parameters, with a number of useful economically valuable traits.

scholarly journals The effect of a vegetation period on productivity, protein and oil percentage in grain of the collection soybean samples

2021 ◽  
pp. 33-38
Author(s):  
A. R. Ashiev ◽  
A. V. Chegunova ◽  
M. V. Skulova ◽  
K. N. Khabibullin ◽  
N. S. Kravchenko
Keyword(s):  
Oil Content ◽  
Agricultural Research ◽  
Vegetation Period ◽  
Protein Percentage ◽  
Rostov Region ◽  
Grain Productivity ◽  
Economically Valuable Traits ◽  
Productivity Indicators ◽  
Positive Effect

The purpose of the current study was to identify the effect of the length of a vegetation period of the collection soybean samples on grain productivity and quality. The study was carried out in the southern part of the Rostov region in the fields of the FSBSI Agricultural Research Center “Donskoy” in 2018–2020. The climate is semi-arid with moderately hot summers. The soil is ordinary thick calcareous heavy loamy blackearth (chernozem). The forecrop was winter wheat. The objects of the study were collection soybean samples of the ARIGPR named after N.I. Vavilov. The study was carried out on 75 samples, including 52 middle early samples with 110-120 days of vegetation and 23 middle maturing samples (120-130 days of vegetation), differing in morphobiological and economically valuable traits. The analysis of a vegetation period, grain productivity and quality of the collection soybean samples has shown that in the southern part of the Rostov region the most variable trait was grain productivity (Cv = 22.5%). The less variable characteristics were protein percentage in grain (Cv = 3.8%), a vegetation period (Cv = 4.2%) and oil content in grain (Cv = 5.3%). There has been identified a positive effect of the length of a vegetation period of soybeans on grain productivity and oil content in grain for both groups of maturity, protein percentage in both groups of maturity having a negative dependence on a vegetation period. The study has shown that in the middle early group, the largest grain productivity was obtained with 117 and 118 days of vegetation, the highest protein percentage with 110 and 114 days of vegetation, and the largest oil content in grain with 118 and 120 days of vegetation. In the middle maturing group, the maximum productivity indicators were obtained for the samples with 126 and 130 days of vegetation, the maximum protein percentage with 122 days of vegetation and the maximum oil content in grain with 123 and 130 days of vegetation. The samples showing the maximum indicators will be included in further soybean breeding.

scholarly journals Waterborne Phytophthora Species Occurrence and Diversity in the Valley of the Rák Brook

2018 ◽  
Vol 14 (2) ◽  
pp. 127-144
Author(s):  
Judit Sárándi-Kovács ◽  
Ilona Szabó ◽  
Ferenc Lakatos
Keyword(s):  
Cluster Analysis ◽  
Catchment Area ◽  
Vegetation Period ◽  
Phytophthora Species ◽  
Temperature Data ◽  
Species Occurrence ◽  
Seasonal Differences ◽  
Hydrological Parameters ◽  
And Cluster Analysis ◽  
Diversity Profiles

Abstract This paper reports on a two-year monitoring of Phytophthora species occurring in the catchment area of the Rák Brook near Sopron. P. gonapodyides, P. lacustris, P. plurivora and P. pseudosyringae were found in the course of surveys completed in the vegetation period of 2011 and 2012. Diversity profiles and cluster analysis were calculated in order to compare the Phytophthora communities detected at different sites and times. Seasonal differences were observed in the species compositions. Temperature data and basic hydrological parameters were found to determine the presence or absence of waterborne Phytophthora species in the catchment area of the Rák Brook. Pathogenicity of the Phytophthora species discovered was confirmed and evaluated against sessile oak seedlings.

scholarly journals Diversity analysis and structural modeling for some traits in wheat genotypes

2021 ◽  
pp. 127-135
Author(s):  
Maysoun M. Saleh ◽  
Rajaa Kenaan ◽  
Zaeda Alsayd Suliman ◽  
Walid A. Ali ◽  
Yaman Jabbour
Keyword(s):  
Cluster Analysis ◽  
Grain Yield ◽  
Agricultural Research ◽  
Structural Modeling ◽  
Wheat Genotypes ◽  
Eigen Value ◽  
Superior Genotypes ◽  
Selection Indexes ◽  
And Cluster Analysis ◽  
Different Origins

This investigation was carried out during 2018/2019 season in three locations Homs, Al-Swaida and Tartous belongs to the General Commission for Scientific Agricultural Research in Syria, using 17 Italian, Syrian and Ethiopian wheat genotypes to estimate the potential diversity by principle component and cluster analysis, and to study the structural modeling between grain yield and other traits to define best traits as predictors and selection indexes of grain yield, and to determine the superior genotypes in grain yield. Results indicated a remarkable variation of 74% due only to the first four principle components with Eigen value > 1. PC Biplot showed that Tartous was the best location, and the genotype SD09 was superior in grain yield per plant followed by SH5 and IP39. Structural modeling results revealed that the total and fertile tillers number per plant were the best predictors for grain yield per plant, while fertile tillers per plant with grain weight per spike could be used as selection indexes of wheat grain yield because they had positive strong direct effect on grain yield per plant. Cluster analysis results confirmed the need to assess more various genotypes from different origins.

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