#multivariate analysis

[oaresearchpaper]

Multivariate analysis of genetic divergence in wheat (Triticuma estivum) using yield traits

The study was conducted to assess genetic divergence in wheat (Triticum aestivum L.) using yield traits. The experiment was planted at Mountain Agricultural Research Center, Juglot, Pakistan during 2014-15 following randomized complete block design with three replications. Plant material for the study comprised of 16 lines and four commercial cultivars of bread wheat. The data recorded were days to 50% heading, days to 50% maturity, plant height (cm), Number of grains spike-1, grain yield per plot, straw yield per plot, 1000 grain weight and yield per hectare. On the basis of multivariate analysis, genotypes 110, 119, 128, 143 and Pirsabak-2013 were showing maximum divergence from other genotypes. This study has shown the existence of considerable genetic variation among the genotypes considered with may help for further selection and breeding. Parents may be selected from clusters which had significant genetic distance for crossing in order to obtain genetic recombination and transgressive segregation in the subsequent generations. However further study across location and years needs to be done in order to corroborate the results obtained in the present investigation.

[oaresearchpaper]

A numerical analysis of understory plant associations in a Pinus wallichiana forest, Pakistan

The present investigation describes the structure and vegetation composition of the forest located in Murree Hills, Punjab, Pakistan. The study area is a part of Himalayans moist temperate forest. The vegetation zone entirely consists of shrubs or medium size trees. The plants give the appearance of a vast flower bed, composed principally of herbaceous species. These species are adapted to withstand the extremes of cold and desiccation. Study area range in altitude from 2100m-2300 m (A.S.L.). A total of 65 species, belonging to 62 genera and 39 families were recorded from 40 stands. Angiosperms contributed a major share while Pteridophytes contributed little to the floristic richness of the area. Data were analyzed by multivariate statistics including Cluster Analysis, Detrended Correspondence Analysis (DCA) and correlation co-efficient to detect the relations between altitudinal and some environmental factors with composition and structure of the plant communities. DCA axis 1 and axis 2 were used to interpret the data. Four vegetation types were delineated by Cluster Analysis which was then plotted on the first two axes a scattered diagram. The outcome of the cluster was confirmed by using DCA. There were significant differences in the flora composition as well as the edaphic factors along the altitudinal gradient. The results of the present investigation suggest a direct altitudinal and soil chemical factors pH, EC, cations and anions on the vegetation variation. Topography predicts species composition of the study area.

[howstrangethemusicsoundstome]

Booooo, my first day of Multivariate Analysis got cancelled because of a stupid power outage T_T

[blacklifescience]

 “To make a long argument short: Biologists have had far better results using a technique called ‘multivariate analysis’ to map the distribution of a species’ traits over a geographic territory.” - "Sex and Race in the Long Shadow of the Human Genome Project," Roger N. Lancaster

“Multivariate analysis” is: “The statistical study of data where multiple measurements are made on each experimental unit and where the relationships among multivariate measurements and their structure are important” (https://s4be.cochrane.org/blog/2021/09/09/multivariate-analysis-an-overview/)

[ikpress1]

AUTECOLOGY OF Chiliadenus montanus AS A THREATENED PLANT SPECIES GROWING IN SAINT KATHERINE PROTECTORATE, SOUTH SINAI, EGYPT |  Journal of Global Agriculture and Ecology

Chiliadenus montanus (Vhal.) Brullo is a rare medicinal plant that grows in the Saint Katherine district of Egypt's South Sinai. Due to its effective bioactivity, it is prone to overgrazing and collected by Bedouins for its great medicinal potential in treating various ailments. This study aims to investigate the environmental factors affecting C. montanus growth and distribution across its distribution range in the St. Katherine Protectorate by (a) measuring plant cover of different plant species in selected locations (sites) and stands (quadrates), (b) recording different environmental parameters, and (c) analysing some soil physical and chemical properties. The results demonstrated that C. montanus thrives at high elevations in fissures of mountains on alkaline soil with high bicarbonate and organic matter content, low proportion of silt and clay, and low moisture content in the selected sites ranging from 1745 m a.s.l. to 2015 m a.s.l. Please see the link :- https://www.ikprress.org/index.php/JOGAE/article/view/2773

[wikipathways]

Profiles of Essential Oils and Correlations with Phenolic Acids and Primary Metabolites in Flower Buds of Magnolia heptapeta and Magnolia denudata var. purpurascens. Hyeon et al., Molecules. 2022 Jan; 27(1): 221.

[wikipathways]

Metabolite Profiling Reveals Distinct Modulation of Complex Metabolic Networks in Non-Pigmented, Black, and Red Rice (Oryza sativa L.) Cultivars Kim et al., Metabolites. 2021 Jun; 11(6): 367.

[ijtsrd]

An Application of Multivariate Analysis on Socio Economic Indicators in Gujarat

by Dr. Mahesh Vaghela "An Application of Multivariate Analysis on Socio Economic Indicators in Gujarat"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021,

URL: https://www.ijtsrd.compapers/ijtsrd42534.pdf

Paper URL: https://www.ijtsrd.comother-scientific-research-area/applied-mathamatics/42534/an-application-of-multivariate-analysis-on-socio-economic-indicators-in-gujarat/dr-mahesh-vaghela

peerreviewedinternationaljournal, callforpaperinugcapprovedjournals, paperpublicationforstudent

The use of statistical measurement tools to research human behavior in a social environment is known as social statistics. Statistics and statistical analysis has become a key feature of social science. In this study researcher study Socio Economics indicators like Education, Health and Employment in Gujarat, he also used Multivariate Analysis as a statistical tools. In this research it will be found that the most of the Sub Indicators are positively impact on Multivariate Analysis model.