scholarly journals Evaluation of bunch quality components in Dura x Dura progenies of Zambia and Camaroon sources of oil palm germplasm

2021 ◽  
Vol 42 (6) ◽  
pp. 1567-1677
Author(s):  
A. Pedapati ◽  
◽  
R.K. Mathur ◽  
G. Ravichandran ◽  
B.K. Babu ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Path Analysis ◽  
Oil Palm ◽  
Principal Component ◽  
Analysis Data ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Positive Significant Correlation ◽  
Selection Of

Aim: The present study was conducted to evaluate oil palm dura progenies developed from Zambia and Cameroon germplasm sources for bunch components for the selecting of high oil yielding mother palms. Methodology: Total 77 dura genotypes were evaluated by considering 15 different bunch components. Bunch analysis data were collected from tenth year onwards after planting. The genetic diversity, Principal component analysis, correlation and path analysis of the genotypes were estimated. Results: Study revealed that oil-to bunch ratio depends on fruit-to-bunch ratio and mesocarp-fruit ratio. The ANOVA value showed a significant variability among the genotypes for most of the bunch traits and the identified genotype P35 (24.53 %) was highest oil yielder. Positive significant correlation (p≤ 0.01) of mesocarp-to-fruit ratio and oil-to-dry mesocarp with oil-to-bunch ratio were noted in this study. Based on path analysis, the information obtained from this study is the oil-to-wet mesocarp ratio (0.697) showed the highest significant positive direct effect on oil-to-bunch ratio followed by mesocarp-to-fruit ratio (0.570). Interpretation: This study may support for the future selection of mother palms to utilize in oil palm improvement programmes. Introgression into existing breeding materials and breeding for seed production utilising selected palms.

Genetic variability, principal component and cluster analyses in black gram under Foot-hills conditions of Manipur

2018 ◽  
Author(s):  
M. Samuel Jeberson ◽  
K. S. Shashidhar ◽  
Amit Kumar Singh
Keyword(s):  
Genetic Variability ◽  
Path Analysis ◽  
Quantitative Traits ◽  
Principal Component ◽  
Yield Attributes ◽  
Eigen Values ◽  
Correlation And Path Analysis ◽  
And Cluster Analysis ◽  
100 Seed Weight ◽  
Selection Of

Analysis of genetic variability, heritability, correlation, path analysis, principal component and cluster analysis was carried for 25 blackgram genotypes grown in the foothills of Manipur. The results showed that phenotypic coefficients of variability recorded were higher than the genotypic coefficients of variability, irrespective of traits, demonstrating the effect of environment thereon. The present study revealed that the heritability (bs) estimates were maximum (>50%) for the traits such as days taken to attain the 50% flowering, number of clusters/plant, number of pods/plant and 100 seed weight. The correlation and path analysis proved the selection of the yield attributes in blackgram based on the characters, viz., number of pods/plant and number of cluster/plants. The first three principal components, having the Eigen values more than 1, contributed 84.52% towards variability among the 25 genotypes screened for quantitative traits. Based on the average linkage, 25 genotypes were grouped into five (5) clusters.

scholarly journals Correlation and Path Analysis in Sunflower (Helianthus annuus L.)

Helia ◽  
2015 ◽  
Vol 38 (63) ◽  
pp. 201-210 ◽  
Author(s):  
Biljana Gjorgjieva ◽  
Ilija Karov ◽  
Sasa Mitrev ◽  
Natalija Markova Ruzdik ◽  
Emilija Kostadinovska ◽  
...  
Keyword(s):  
Path Analysis ◽  
Seed Yield ◽  
Seed Weight ◽  
Oil Content ◽  
Block Design ◽  
Oleic Acid Content ◽  
Seed Length ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Selection Of

AbstractThis study was carried out to determine the correlation between agronomic traits and seed yield of sunflower hybrids and also to determine the direct and indirect effects of analyzed traits on seed yield. The primary task in sunflower breeding programs is to increase the seed yield, as well as create new hybrids with high potential for seed and oil yield. The experiment was set up according to randomized block design during two growing seasons (2013 and 2014), on research area of the Faculty of Agriculture, “Goce Delchev” University – Shtip, in Ovche Pole locality, Republic of Macedonia. As an experimental material 20 sunflower hybrids were used. 1,000 seed weight, seed length and width, oil content, oleic acid content and seed yield were analyzed. 1,000 seed weight showed positive and significant correlation with seed width, seed length and seed yield. On the other hand, negative and significant correlation was obtained between 1,000 seed weight and oil content. 1,000 seed weight expressed the highest positive direct effect on seed yield. The results obtained from correlation and path analysis showed that the efficiency in the selection of seed yield in sunflower hybrids should increased through the selection of 1,000 seed weight.

Genetic Diversity and Association Studies in Greengram [Vigna Radiata (L.) Wilczek]

2019 ◽  
Author(s):  
S Mohan ◽  
A Sheeba ◽  
T Kalaimagal
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Path Analysis ◽  
Seed Yield ◽  
Morphological Traits ◽  
Principal Component ◽  
Component Analysis ◽  
Positive Direct ◽  
Number Of Seeds ◽  
Number Of Branches

The present study was conducted to evaluate 44 greengram genotypes using correlation, path analysis, principal component analysis and cluster analysis based on ten morphological traits. Basic descriptive statistics showed considerable variance for all the traits. Association analysis indicated that, number of pods per plant, number of pod clusters per plant, number of seeds per pod and number of branches per plant showed significant positive association with seed yield per plant. Path analysis specified that the highest positive direct effect on single plant yield was exerted by days to 50 % flowering, number of pods per plant and number of seeds per pod. Principal component analysis (PCA) revealed 79.12 per cent of the variability by the first five components. PC1 was associated mainly with seed yield per plant, number of pod clusters per plant, number of pods per plant and number of branches per plant. The Wards method of hierarchical cluster analysis grouped the accessions into six major clusters. The clustering of greengram genotypes based on different morphological traits would be useful to identify the promising genotypes for effective utilization in future breeding programmes..

scholarly journals Some Genetic Parameters and Path Coefficient of Three-Way Crosses in Maize

2021 ◽  
Vol 910 (1) ◽  
pp. 012099
Author(s):  
Banan Hassan Hadi ◽  
Wajeeha Abed Hassan ◽  
Majid S.H. Hamdalla
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Leaf Area ◽  
Correlation Coefficients ◽  
Direct Selection ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Positive Significant Correlation

Abstract Correlation and path coefficient analysis were worked out for ten morphological traits in 30 three-way crosses of maize. Phenotypic and genotypic correlation analysis indicated that ear length; row numbers per ear, grain numbers per row, leaf area and leaves numbers had a positive significant correlation with grain yield per plant. Further partitioning of correlation coefficients into direct and indirect effects showed that traits days to silking, row numbers per row and leaves numbers had a positive direct effect on grain yield per plant. The traits ear length, grain numbers per row and leaf area had a maximum total effect on grain yield. Furthermore, PCA analysis has gave interested results and it supported the results of correlation and path analysis. The correlation and path analysis obviously indicated that direct selection based on these attributes may be useful in raising grain yield in maize.

scholarly journals A Chemometry of Aldrovanda vesiculosa L. (Waterwheel, Droseraceae) Populations

Molecules ◽  
2020 ◽  
Vol 26 (1) ◽  
pp. 72
Author(s):  
Bartosz J. Płachno ◽  
Maciej Strzemski ◽  
Sławomir Dresler ◽  
Lubomír Adamec ◽  
Kamila Wojas-Krawczyk ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Aquatic Plant ◽  
Principal Component ◽  
Analysis Data ◽  
Extant Species ◽  
Wide Range ◽  
Geographical Distances ◽  
Nw Australia ◽  
Chemometric Tools

The genus Aldrovanda is a Palaeogene element containing a single extant species, Aldrovanda vesiculosa L. This aquatic carnivorous herb has a very wide range of distribution, natively covering four continents; however, it is a critically endangered aquatic plant species worldwide. Previous studies revealed that A. vesiculosa had an extremely low genetic variation. The main aim of the present paper is to explore, using chemometric tools, the diversity of 16 A. vesiculosa populations from various sites from four continents (Eurasia, Africa, Australia). Using chemometric data as markers for genetic diversity, we show the relationships of 16 A. vesiculosa populations from various sites, including four continents. Phytochemical markers allowed the identification of five well-supported (bootstrap > 90%) groups among the 16 populations sampled. The principal component analysis data support the idea that the strongly related African (Botswana) and Australian (Kimberley, NT, NW Australia) populations are the most distant ones, separated from the European and Asian ones. However, considering the five Australian populations sampled, three are nested within the Eurasian group. The chemometric data are correlated positively with the geographical distances between the samples, which suggests a tendency toward isolation for the most distant populations.

Studies on genetic variability, correlation and path analysis inpearl millet (Pennisetum glaucum L.) germplasm lines

2017 ◽  
Author(s):  
A. M. Talawar ◽  
G. Girish ◽  
A. S. Channabasavanna ◽  
M.S. Kitturmath
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Path Analysis ◽  
Pennisetum Glaucum ◽  
Panicle Length ◽  
Plant Seed ◽  
Quantitative Characters ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Positive Significant Correlation

The 52 germplasm lines of pearl millet (Pennisetum glaucum L.) were evaluated for eight quantitative characters with a view to study the genetic variability, correlation and path analysis. The High values of GCV, PCV and heritability estimates coupled with maximum genetic advance over mean were obtained for the characters like productive tillers per plant, grain yield per plant, seed weight, seed yield per ear head and panicle length traits. The results of correlation and path analysis revealed that grain yield per plant exhibited positive significant correlation with panicle length and panicle girth. The plant height, panicle girth and panicle length traits contributed the highest positive direct effect on grain yield.

Genetic Analysis of Chinese Cucumber Collections in the U.S. National Germplasm Collection

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 534e-534 ◽  
Author(s):  
J. Staub ◽  
Felix Sequen ◽  
Tom Horejsi ◽  
Jin Feng Chen
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Genetic Variation ◽  
Genetic Analysis ◽  
Allelic Variation ◽  
Germplasm Collection ◽  
Principal Component ◽  
Isozyme Loci ◽  
National Plant Germplasm System ◽  
The U.S

Genetic variation in cucumber accessions from China was assessed by examining variation at 21 polymorphic isozyme loci. Principal component analysis of allelic variation allowed for the depiction of two distinct groupings of Chinese accessions collected in 1994 and 1996 (67 accessions). Six isozyme loci (Gpi, Gr, Mdh-2, Mpi-2, Pep-gl, and Pep-la) were important in elucidating these major groups. These groupings were different from a single grouping of Chinese 146 accessions acquired before 1994. Allelic variation in Chinese accessions allowed for comparisons with other accessions in the U.S. National Plant Germplasm System (U.S. NPGS) collection grouped by continent and sub-continent. When Chinese accessions taken collectively were compared with an array of 853 C. sativus U.S. NPGS accessions examined previously, relationships differed between accessions grouped by country or subcontinent. Data indicate that acquisition of additional Chinese and Indian cucumber accessions would be strategically important for increasing genetic diversity in the U.S. NPGS cucumber collection.

Multivariate Analysis, Genetic Diversity and Phenotypic Correlation of Nineteen Exotic Groundnut Accessions

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
YPJ AMARASINGHE ◽  
G . WIJESINGHE ◽  
R W PUSHPAKUMARA
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Growth Parameters ◽  
Principal Component ◽  
Phenotypic Correlation ◽  
Clustering Method ◽  
Yield Parameters ◽  
Arachis Hypogaea L ◽  
Semi Arid ◽  
Number Of Branches

19 Groundnut ( Arachis hypogaea L. ) genotypes receiv ed from International Crops Research Institute for Semi Arid T ropics (ICRISA T) India w ere ev aluated in a non replicated trial and the characters w ere subjected to multiv ariate analysis to study the v ariability within the genotypes. The first 5 axes of the principal component analysis captured 78% of the total v ariability and identified yield parameters such as number of pods per plant, pod w eight per plant and growth parameters such as number of branches per plant, plant spread, and pod characteristics as the characters contributing most to total v ariation. Phenotypic correlation analysis rev ealed that the yield has positiv e correlation with the characters such as number of pods per plant and number of branches per plant. W ards clustering method has grouped the genotypes into 3 distinct clusters. The results can be applied in order to strengthen the breeding program

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