scholarly journals Multivariate analysis and clustering of Cuphea procumbens inbred lines

Genetika ◽  
2006 ◽  
Vol 38 (1) ◽  
pp. 23-30 ◽  
Author(s):  
Ramesh Kumar ◽  
S.P. Singh
Keyword(s):  
Seed Yield ◽  
Genetic Divergence ◽  
Agronomic Traits ◽  
Principal Component ◽  
Inbred Lines ◽  
Cophenetic Correlation ◽  
Mean Values ◽  
Cophenetic Correlation Coefficient ◽  
National Botanical Research Institute ◽  
And Cluster Analysis

15 C. procumbens inbred lines of different eco-geographical origin maintained at National Botanical Research Institute, Lucknow, India were evaluated for seed yield and its 6 component traits to assess genetic divergence among them. The standardized mean values of different traits were subjected to principal component analysis and cluster analysis was performed based on two different clustering strategies i.e. UPGMA and Wards. Ward's method that showed relatively high cophenetic correlation coefficient and significant Wilk's Lambda was identified as the best clustering solution. The first four principal components (PC) with eigenvalues >1 contributed 91.56% of variability among the inbred. First PC was related with fruits/plant and branches/plant; second PC with yield/ plant, seeds/fruit and test weight third PC with plant height; and fourth PC with days to flowering. The genotypes were grouped into five clusters and cluster II was largest with 5 genotypes followed by clusters I, III and Clusters IV, V. Cluster IV exhibited highest mean for seed yield (14.77g) followed by cluster III (14.53g) and the former incorporated inbred lines, NBCP-53 and NBCP-58 that were highly divergent among themselves and from genotypes in other clusters. The inbred in cluster IV and cluster III with good amount of genetic divergence and superior agronomic traits were identified as promising inbred to develop superior recombinants with desirable agronomic traits.

scholarly journals Evaluation of Newly Developed Rice Lines in Lowland Ecology in Ghana

2020 ◽  
Vol 2 (6) ◽  
Author(s):  
Esther Fobi Donkor ◽  
Remember Roger Adjei ◽  
Sober Ernest Boadu
Keyword(s):  
Moisture Content ◽  
Analysis Of Variance ◽  
Agronomic Traits ◽  
Agricultural Research ◽  
Principal Component ◽  
Research Field ◽  
Rice Varieties ◽  
Statistical Tool ◽  
Cophenetic Correlation ◽  
Cophenetic Correlation Coefficient

Rice is one of the major staple foods consumed in all part of the world including Ghana. The study was conducted at the research field of CSIR in Sokwai to evaluate the performance of the newly released rice varieties in lowland ecology in Ghana. The data collected were subjected to analysis of variance using Statistical Tool for Agricultural Research Version 2.0.1. The analysis of variance revealed a highly significant variation among most of the agronomic traits studied except for the panicle length, moisture content, total weight of 5 hills, the percent moisture content and the lodging index. The first five principal component (PC) accounted for 71% of the total variation with PC1, PC2 and PC3 contributing 20%, 17% and 13% respectively. The cluster analysis placed the accessions into five main clusters. The cophenetic correlation coefficient (CCC) was 0.42.

Evaluation of Sunflower (Helianthus annuus L.) Hybrids Using Multivariate Statistical Analysis

Helia ◽  
2015 ◽  
Vol 38 (63) ◽  
pp. 175-187
Author(s):  
Natalija Markova Ruzdik ◽  
Ilija Karov ◽  
Sasa Mitrev ◽  
Biljana Gjorgjieva ◽  
Biljana Kovacevik ◽  
...  
Keyword(s):  
Seed Yield ◽  
Environmental Conditions ◽  
Agronomic Traits ◽  
Block Design ◽  
Principal Component ◽  
Original Data ◽  
Research Field ◽  
Multivariate Statistical ◽  
Main Components

AbstractEvaluation and characterization of sunflower hybrids using morphological, physiological and biochemical data are necessary and essential in sunflower breeding programs. The aim of this paper was to evaluate the productive possibilities of some sunflower hybrids grown in Macedonian environmental conditions. The experiment was carried out during the period 2013 and 2014 on the research field of the Faculty of Agriculture, “Goce Delchev” University – Shtip, in Ovche Pole locality, Republic of Macedonia. Total 20 sunflower hybrids were used as an experimental material. The trial was arranged as randomized complete block design (RCBD) with three replications. The average content of oil and oleic acid were 45.6 and 65.2%, respectively. The highest seed yield from all sunflower hybrids was obtained for the hybrid NLK12M144 (3,344 kg ha–1) and the lowest for hybrid NLK12S126 (2,244 kg ha–1). Cluster analysis classified the sunflower hybrids into four groups based on agronomic traits and seed yield. Most of the hybrids were included in cluster I and III (7 hybrids) followed by cluster IV. Using principal component analysis two main components have been extracted, with eigenvalue greater than one. They account for 72.99% of the variability in the original data. Only four hybrids had positive values for both main components (NLK12M144, NLK12S070, NLK12S125 and NLN12N011 DMR). The results from this study can be used to identify the best sunflower hybrids grown under Macedonian environmental conditions and to select the superior hybrids for future exploitation.

scholarly journals GENETIC DIVERGENCE ANALYSIS IN HRDC RICE (Oryza sativa L.) HYBRIDS IN BANGLADESH

2016 ◽  
Vol 27 (2) ◽  
pp. 25-32
Author(s):  
A. Ahmed ◽  
S. G. Shaon ◽  
M. S. Islam ◽  
P. S. Saha ◽  
M. M. Islam
Keyword(s):  
Genetic Divergence ◽  
Oryza Sativa L ◽  
Principal Component ◽  
Dry Season ◽  
Spikelet Fertility ◽  
Mean Values ◽  
Panicle Number ◽  
Cluster Distance ◽  
The Mean ◽  
Yield Maximization

Genetic divergence of 48 IRRI developed F1 rice hybrids were studied through Mahalanobis D2 and principal component analysis for ten characters in Gazipur and Pabna district during dry season 2012-13. Among 48 genotypes, cluster analysis resulted in five clusters following Ward’s method. During dry season for both regions, cluster I incorporated the highest number of genotypes. Significant differences among the genotypes but non-significant differences among replications were noticed for most of the parameters under study. The inter-cluster distance was larger than intra-cluster distance suggesting wider diversity among the genotypes. In Gazipur, the maximum inter-cluster D2 value was recorded between cluster III and V (6.69) and the minimum between cluster II and IV (0.69). The intra-cluster distance was maximum in cluster IV (3.60) and minimum in cluster I (0.33). In Pabna, maximum inter-cluster distance was exhibited between cluster IV and II (16.43) but minimum between cluster II and III (3.98). Maximum intra-cluster distance (4.40) was recorded in cluster IV whereas minimum in cluster I (0.83). Based on positive value of vector 1 and vector 2, panicle number m-2, spikelet fertility (%) and 1000-grain wt. (g) had maximum contribution towards genetic divergence among the characters studied. Cluster means indicated considerable differences in the mean values of different parameters. The highest cluster means for panicle weight (g), spikelet fertility (%), 1000 grain wt. (g) and grain yield (kg ha-1) were derived from cluster IV. Therefore, more prominence should be given to the lines under cluster IV that having genetic potentiality to contribute better for yield maximization of hybrid rice.

Progress in development of spotted medics (Medicago arabica L. Huds.) for Mediterranean farming systems

2006 ◽  
Vol 57 (4) ◽  
pp. 447 ◽  
Author(s):  
Ramakrishnan M. Nair ◽  
Steve J. Hughes ◽  
David M. Peck ◽  
Graham Crocker ◽  
Simon Ellwood ◽  
...  
Keyword(s):  
Seed Yield ◽  
Dry Matter ◽  
Agronomic Traits ◽  
South Australia ◽  
Recessive Gene ◽  
Principal Component ◽  
Farming Systems ◽  
Segregation Ratio ◽  
Early Flowering ◽  
Days To Flowering

Spotted medics (Medicago arabica) have become naturalised in Australia, but the spiny nature of their pods has prevented commercial release of any cultivar. Fifty-eight accessions representing Medicago arabica in the Australian Medicago Genetic Resources Collection were grown as spaced plants at Turretfield, South Australia, and the variation for important agronomic traits was studied. There was large variation for traits including days to flowering, dry matter production, pod and seed yield, and pod spininess. Principal component and cluster analyses conducted for 13 traits revealed 5 clusters. One of the clusters identified comprised accessions originating from Greece and Cyprus, which were found to have high agronomic potential. The study has helped in identifying the relationship among traits, namely pod spininess, days to flowering, dry matter yield, and pod and seed yield, which would be useful to breeders for future breeding and selection programs. A sward trial at Moree, New South Wales, comprising a selected cohort of spotted medic accessions, enabled the identification of 2 early flowering and high dry matter yielding accessions; however, both exhibited spiny pods. These 2 accessions were crossed with a smooth-podded accession, and the F1 plants were confirmed using a microsatellite marker. Days to flowering showed a continuous pattern of variation in the F2, suggesting that the trait is quantitatively inherited, whereas segregation ratio revealed that a single recessive gene controlled the smooth pod trait. Early flowering, smooth-podded F2 plants were selected for cultivar development.

Genetic divergence analysis in chickpea germplasm

2018 ◽  
Author(s):  
Renuka Shivwanshi ◽  
Anita Babbar
Keyword(s):  
Seed Yield ◽  
Genetic Divergence ◽  
Seed Weight ◽  
Quantitative Traits ◽  
Mean Values ◽  
Cluster Distance ◽  
Biological Yield ◽  
Per Se ◽  
Total Divergence ◽  
100 Seed Weight

A total of 434 germplasm lines of chickpea were assessed for 13 quantitative traits during rabi 2015-16 at JNKVV, Jabalpur. Genotypes were grouped into fourteen clusters. Clusters II and cluster XIV and cluster XII and cluster XIV, had maximum inter cluster distance. The characters viz.,effective pods per plant followed by biological yield per plant, plant height and 100-seed weight were main contribution to total divergence. Cluster XIV and cluster XIII had highest mean values for maximum number of characters. Based on the result IC 83812, EC 198729, EC 490027, IC 53245, IC 83827and IC 83889 are recommended for hybridization, as these genotypes showed good per se performance for seed yield and belong to the highly diverse clusters.

DIVA-GIS based insight into geographical distribution and diversity spectrum of Indian sunnhemp (Crotalaria juncea L.) accessions suitable for diversified applications

2019 ◽  
Author(s):  
R. T. Maruthi ◽  
A. A. Kumar ◽  
S. B. Choudhary ◽  
H. K. Sharma ◽  
Jiban Mitra
Keyword(s):  
Geographical Distribution ◽  
Seed Yield ◽  
Diversity Index ◽  
Principal Component ◽  
Morphological Diversity ◽  
Hierarchical Cluster ◽  
Morphological Characters ◽  
Mean Values ◽  
North West ◽  
Agglomerative Hierarchical Cluster Analysis

Commercial prospects of sunnhemp inspired present study to understand geographical distribution pattern(s) and to scale agro-morphological diversity spectrum of forty-four sunnhemp accessions naturalized across diverse habitats of India. Field experiment revealed broad spectrum diversity for all the 11 agro-morphological traits. Wider range of plant height (110.50 to 173.17 cm), number of pods per plant (35.33 to 143.00), seeds per pod (6.33-15.17g) and seed yield per plant (8.27-29.43g) highlighted the adequacy of present genetic resources to improve sunnhemp for diversified applications. Principal component analysis of the agro-morphological characters identified the first PC with 1109.6 eigen value explaining 61.70% of total variation followed by PC-II (22.9%) and PC-III (11.1%). In PC-I significant contribution was made by traits like NLP, NPP and PH. Agglomerative hierarchical cluster analysis grouped all accessions into four distinct seed producing clusters irrespective of their origin. Cluster wise mean values suggested that cluster-II is the best with outstanding trait values for majority of traits. DIVA-GIS based analysis identified accessions from Rajasthan, Western Gujarat and Jharkhand with high diversity index for number of leaves/plant. But, accessions from North West Jharkhand and Maharashtra with highest diversity index for seed yield/plant.

scholarly journals Physico-chemical trends in the sediments of Agbede Wetlands, Nigeria

2017 ◽  
Vol 64 (2) ◽  
pp. 111-126
Author(s):  
Abdul-Rahman Dirisu ◽  
John Ovie Olomukoro ◽  
Ifeanyi Maxwell Ezenwa
Keyword(s):  
Alkali Metals ◽  
Anthropogenic Activities ◽  
Sediment Quality ◽  
Principal Component ◽  
Mean Values ◽  
Physico Chemical ◽  
Lotic System ◽  
The Mean ◽  
And Cluster Analysis ◽  
Chemical Trends

AbstractThis study assessed the physico-chemical status of sediments in the Agbede Wetlands with the aim to create a reference archive for the Edo North catchment and to further identify the characteristics mostly influenced by the natural and anthropogenic activities going on at the watershed. Nutrients, zinc, nickel and lead were identified to be mostly of anthropogenic origin, while alkali metals and alkaline earth metals were from both anthropogenic and natural sources. The clustering of stations 1 and 4 indicates that the sediment quality in the lentic systems was not completely excluded from the lotic system, suggesting that principal component analysis (PCA) and cluster analysis (CA) techniques are invaluable tools for identifying factors influencing the sediment quality. The mean values of the particle size distribution were in the following order across the ecosystems: sand (61.86–80.53%) > silt (9.75–30.34%) > clay (7.83–13.89%). The contamination of the water bodies was primarily derived from agricultural run-offs and through geochemical weathering of the top soils. Therefore, our analysis indicates that the concentrations of cations, anions and nutrients in the sediments of the lotic and lentic ecosystems in Agbede Wetlands are not at an alarming level.

scholarly journals GENETIC DIVERGENCE AMONG MAIZE (ZEA MAYS L.) INBRED LINES USING MORPHOMETRIC MARKERS

2021 ◽  
Vol 9 (07) ◽  
pp. 335-349
Author(s):  
Akshita Awasthi ◽  
◽  
S. Lata ◽  
Satish Guleria ◽  
Shivani Bhatia ◽  
...  
Keyword(s):  
Grain Yield ◽  
Genetic Divergence ◽  
Morphological Diversity ◽  
Inbred Lines ◽  
Morphometric Traits ◽  
Improvement Program ◽  
Mean Values ◽  
Component Traits ◽  
Breeding Programmes ◽  
Pollen Shed

Genetic divergence study is imperative in breeding programmes in order to select distant parents. Forty maize inbred lines were assessed using morphometric markers to identify the potential inbred lines for yield and its component traits. The inbred lines were raised in α-RBD design replicated twice during kharif 2019. The morphological diversity analysis was done as per the standard statistical procedures using Mahalanobis D2-statistic. Analysis of variance revealed significant mean sum of squares due to genotypes for all the traits suggesting ample amount of genetic variability present among them. Moderate PCV, GCV and high heritability coupled with moderate genetic advance was observed for grain yield per plant, plant and cob placement height. Grain yield per plant exhibited significant positive correlation with all the traits except days to 50 per cent pollen shed and silking. Path analysis revealed high direct effects of days to 50 per cent pollen shed, harvest index, grains per row and 100 grain-weight on grain yield per plant therefore these morphometric traits would be the best selection indices to select high yielding genotypes. D2-statistics grouped 40 maize genotypes into three clusters. Cluster III has the highest cluster mean values for all the traits.Seven genotypes viz., 4186-4-05-1-1, LM-14, BAJIM-08-27, BIOM 10, LQPM24×1114-5, 9180-2, LDH 5(Vivek-21-1) were superior over the best check on the basis of mean performance and disease resistance and were diverse therefore, could be used in maize improvement program.

scholarly journals Heterosis for seed yield and yield components in sunflower

Genetika ◽  
2005 ◽  
Vol 37 (3) ◽  
pp. 253-260 ◽  
Author(s):  
Nada Hladni ◽  
Dragan Skoric ◽  
Marija Kraljevic-Balalic
Keyword(s):  
Plant Height ◽  
Interspecific Hybridization ◽  
Seed Yield ◽  
Yield Components ◽  
Inbred Lines ◽  
Mean Values ◽  
Head Diameter ◽  
Yield And Yield Components ◽  
Fertility Restorers ◽  
Agronomically Important Traits

The development of new high-yielding and stable sunflower hybrids based on interspecific hybridization requires information on the heterotic effects for agronomically important traits in the F, generation. Heterotic effects for seed yield, plant height and head diameter were studied in interspecific sunflower hybrids developed by the line x tester method. The female inbred lines were developed by interspecific hybridization, while the male restorer inbreds with good combining abilities were used as testers in the form of fertility restorers. F, hybrids were obtained by crossing each tester with each female inbred. The inbred lines and their F, hybrids differed significantly in their mean values of the traits under study. Heterosis values for seed yield per plant were positive and highly significant relative to both the parental mean (98.4-274.1%) and the better parent (54.8-223.2%). Significantly less heterosis was recorded in the case of plant height relative to parental mean (19.0-66.0%) and better parent (-3.9-51.6%). With head diameter, the heterotic effect ranged from 19.0 to 55.6% (parental mean) and from 7.8 to 36.6% (better parent). The results of this study may be used for the development of new high-yielding and stable sunflower hybrids based on interspecific hybridization.

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