Exploration, Collection and Characterization of Horsegram [Macrotyloma uniflorum (Lam.) Verd.] Germplasm

2021 ◽  
Author(s):  
A.B.M. Sirisha
Keyword(s):  
Principal Component Analysis ◽  
Seed Yield ◽  
Andhra Pradesh ◽  
Agricultural Research ◽  
Principal Component ◽  
Component Analysis ◽  
Eastern Ghats ◽  
Research Station ◽  
Macrotyloma Uniflorum

Background: Horsegram [Macrotyloma uniflorum (Lam.) verd.] is an underutilized arid food legume known to grow well in diverse environmental conditions like poor soils, low rainfall etc. Horsegram is a drought resistant crop used for fodder, feed, seed, green manuring and in ayurvedic medicine. It is grown as Rabi crop in Andhra Pradesh. Compared to other pulse crops, efforts in conservation horsegram germplasm is poor which is essential for the future breeding purpose. There will be a danger of loss of germplasm if they are not collected and conserved. The Eastern Ghats of Andhra Pradesh i.e., Araku region is a rich source of diversified germplasm of legumes, medicinal plants, millets and ancient crops. Among which, horsegram is one of the crop with wide diversified germplasm. Hence the present effort is done in collection and characterization of the germplasm for further use in the breeding process. Broadening the genetic base in horsegram through interspecific hybridization employing diverse germplasm will be useful in improving pest and disease resistance, grain quality, protein percentage and nutritional factors. Methods: Expedition was conducted during Rabi 2018 and 25 horse gram seed samples were collected from the local regions of tribal tracts of Eastern Ghats of Andhra Pradesh along with passport data using the GPS machine. The germplasm lines were evaluated and morphologically characterized during Rabi 2019 at Agricultural Research Station, Yellamanchili, Visakhapatnam, Andhra Pradesh, India, for fifteen characters. Principal component analysis was carried out to identify the diverse germplasm lines and to know the contribution of the variables. Result: The investigation showed that all the horse germplasm lines are inherited to the farmers from their ancestors. Study revealed that, the seed yield per plant showed a range of 2.40 to 6.40 g and the days maturity recorded a range of 87 to 106 days. Principal component analysis showed that all the variables except 100 seed weight (g) showed positive loading. Among the variables plant height (cm), dry haulm weight (g) and seed yield per plant recorded maximum percentage of contribution. The genotypes HG-24, HG-7, HG-19, HG-15, HG-22 recorded highest positive scores. The genotypes HG-5, HG-10, HG-3, HG-16, HG-8, HG-4, HG-10, HG-24 and HG-7 has shown wide divergence which may be further adopted in the breeding programme for horsegram improvement.

↵Genetic Diversity and Principal Component Analysis in Mungbean [Vigna radiata (L.) Wilczek] under Rainfed Condition

2021 ◽  
Author(s):  
Deepak Gupta ◽  
Suresh Muralia ◽  
N.K. Gupta ◽  
Sunita Gupta ◽  
M.L. Jakhar ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Seed Yield ◽  
Agricultural Research ◽  
Principal Component ◽  
Component Analysis ◽  
Grain Legume ◽  
Research Station ◽  
Rainfed Condition

Background: Mungbean is a short duration grain legume widely grown in south and Southeast Asia. The extent of variability through Principal Component Analysis (PCA) and cluster analysis in promising mungbean genotypes should be known for possible yield improvement. A study was undertaken to work out the extent of variability among twenty four mungbean genotypes through cluster analysis and Principal Component Analysis (PCA). Methods: The experiment was laid out in a randomized block design with three replications during kharif 2018 and 2019 at the experimental field of Agricultural Research Station, Navgaon (Alwar) under rainfed condition. Result: Principal component analysis revealed that the first three main PCAs amounted 78.80% of the total variation among genotypes for different traits. Out of total principal components, PC1 accounts for maximum variability in the data with respect to succeeding components. Number of branches per plant (28.62%), number of clusters per plant (23.55%) and seed yield (15.58%) showed maximum per cent contribution towards total genetic divergence on pooled basis. Cluster analysis showed that genotypes fall into seven different clusters and their inter and intra cluster distance showed genetic diversity between different genotypes. The maximum number of genotypes i.e., 8 was found in cluster II followed by cluster III comprising of 6 genotypes. Genotypes RMG-1138 and IPM-02-03 representing the mono genotypic cluster signifies that it can be the most diverse variety and it would be the appropriate genotype for hybridization with ones present in other clusters to tailor the agriculturally important traits and ultimately to boost the seed yield in mungbean under rainfed conditions.

Characterization of fretting wear experiments on spline couplings by principal component analysis

2016 ◽  
Vol 231 (7) ◽  
pp. 860-868 ◽  
Author(s):  
Waqar Qureshi ◽  
Francesca Cura ◽  
Andrea Mura
Keyword(s):  
Experimental Data ◽  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Fretting Wear ◽  
Aircraft Industry ◽  
Surface Movement ◽  
Noisy Measurements ◽  
Quasi Static Process

Fretting wear is a quasi-static process in which repeated relative surface movement of components results in wear and fatigue. Fretting wear is quite significant in the case of spline couplings which are frequently used in the aircraft industry to transfer torque and power. Fretting wear depends on materials, pressure distribution, torque, rotational speeds, lubrication, surface finish, misalignment between spline shafts, etc. The presence of so many factors makes it difficult to conduct experiments for better models of fretting wear and it is the case whenever a mathematical model is sought from experimental data which is prone to noisy measurements, outliers and redundant variables. This work develops a principal component analysis based method, using a criterion which is insensitive to outliers, to realize a better design and interpret experiments on fretting wear. The proposed method can be extended to other cases too.

Characterization of medicinal Senna genetic resources

2009 ◽  
Vol 7 (03) ◽  
pp. 257-259 ◽  
Author(s):  
J. B. Morris
Keyword(s):  
Pancreatic Cancer ◽  
Principal Component Analysis ◽  
Medicinal Plants ◽  
Genetic Resources ◽  
Morphological Traits ◽  
Principal Component ◽  
Component Analysis ◽  
Pharmaceutical Products ◽  
Seed Reproduction

At 50% maturity, regeneratingSennaspecies were characterized for morphological traits, seed reproduction, and evaluated for regeneration. Quality plants regenerated from all accessions produced 1018 to more than 21,215 total seeds. Principal component analysis revealed which traits contributed the greatest to variability among coffee senna accessions.Sennaspecies have potential to produce pharmaceutical products and can be grown as medicinal plants. The flavonoids quercetin and kaempferol found inSennaspecies have been clinically shown to have anti-pancreatic cancer properties.

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