scholarly journals Correlation and Path Coefficient Analysis of Tomato Germplasms

2015 ◽  
Vol 3 (2) ◽  
pp. 223-226
Author(s):  
Md. Salehur Rahman ◽  
Shahanaz Parveen ◽  
Md.Harun -Ur- Rashid ◽  
Runa Akter ◽  
Abu Yousuf Hossin ◽  
...  
Keyword(s):  
Correlation Coefficient ◽  
Phenotypic Expression ◽  
Positive Association ◽  
Suppressive Effect ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Genotypic Correlation ◽  
Path Coefficient Analysis ◽  
Significant Positive Association ◽  
Positive Direct

Forty eight genotypes of tomato were evaluated for yield contributing characters to observe their associations and direct and indirect effect on yield. Character association analysis among yield and yield contributing characters revealed that in most of cases the genotypic correlation coefficient was higher than the respective phenotypic correlation coefficients. This indicated that the suppressive effect of the environment modified the phenotypic expression of these characters by reducing phenotypic correlation values. Also, narrow difference between phenotypic and genotypic correlation coefficient was noticed for almost all the pairs of characters studied showing that masking or modifying effects of the environment was little indicating the presence of an inherent association among these characters. Fruit/cluster showed non-significant positive association with yield/plant at genotypic and phenotypic level but individual weight of fruit had significant negative association at phenotypic level with yield/plant. Path coefficient analysis revealed that no. of fruit/cluster had the highest positive direct effects on fruit yield/plant suggesting their importance while imposing selection for correlation of yield in tomato.Int J Appl Sci Biotechnol, Vol 3(2): 223-226 DOI: http://dx.doi.org/10.3126/ijasbt.v3i2.12421 

scholarly journals Study of Trait Alliance with Grainyield, Its Attributes of Different Land Races of Maize (Zea MaysL.)

2017 ◽  
Vol 5 (2) ◽  
pp. 184-190
Author(s):  
R. A. Gami ◽  
J.M Patatel ◽  
G. K. Chaudhary ◽  
S. M. Chaudhary
Keyword(s):  
Grain Yield ◽  
Positive Association ◽  
Path Coefficient ◽  
Direct Effects ◽  
Path Coefficient Analysis ◽  
Significant Positive Association ◽  
Land Races ◽  
Component Traits ◽  
Ear Height ◽  
Positive Direct

The research was carried out to study the correlation and path coefficient analysis of 51 different land races of maize for yield and component traits. Analysis of correlation between different characters suggested that the value of genotypic correlation were somewhat higher as compared to their corresponding phenotypic correlations signified the inherent relationship among the characters. Grain yield kg per ha. showed significant positive association with days to 50% pollenshed, days to 50% silking, days to 75% dry husk, number of cobs per plot, cob weight per plot and shalling perportion at both genotypic and phenotypic levels. Path co-efficient analysis revealed that the maximum positive direct effects of cob weight per plot, shelling perportion, ear height and number of cobs per plot towards grain yield. This finding suggested that more emphasis should be given to number of cobs per plot, cob weight per plot and shalling perportion in selection programmes aiming to improve grain yield in maize.

scholarly journals Correlation and Path Coefficient Analysis for ‘Yield Contributing’ Traits in Quality Protein Maize (Zea mays L.)

2020 ◽  
pp. 91-99
Author(s):  
Digvijay Singh ◽  
Ajay Kumar ◽  
Rajesh Kumar ◽  
Satish Kumar Singh ◽  
Nitesh Kushwaha ◽  
...  
Keyword(s):  
Grain Yield ◽  
Association Studies ◽  
Research Work ◽  
Positive Association ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Significant Positive Association ◽  
Maize Genotypes ◽  
Ear Height ◽  
Positive Direct

Character association studies will help to assess the relationship among the yield and its components for enhancing the usefulness of the selection. In view of this, the present research work was carried out to assess the correlation coefficient and path analysis among twenty five maize genotypes using eleven quantitative parameters. Correlation studies indicated that plant height (cm), ear height (cm), ear length (cm), ear girth (cm), number of kernel rows per ear, number of kernels per row showed significant positive association with grain yield (Kg/ha) as well as among themselves at phenotypic and genotypic level. Hence, selection for any one of these characters would bring in simultaneous improvement of other characters and also finally improvement in grain yield (kg/ha). Path coefficient analysis revealed that the highest positive direct effects on grain yield  was exhibited by days to 75% tasseling, ear length, days to 75% brown husk, ear height and ear girth. Therefore, present investigation could be helpful in a reliable selection of parental lines based on the above given traits as well as for the development of high yielding verities for further breeding programs.

scholarly journals Variability of Different Yield Contributing Parameters and Yield of Some Okra (Abelmoschus esculentus) Accessions

1970 ◽  
Vol 4 (1) ◽  
pp. 119-127
Author(s):  
AKM Ashraful Alam ◽  
Md Mokbul Hossain
Keyword(s):  
Dry Matter ◽  
Positive Association ◽  
Matter Content ◽  
Path Coefficient ◽  
Dry Matter Content ◽  
Path Coefficient Analysis ◽  
Significant Positive Association ◽  
Wide Range ◽  
Range Of Variation ◽  
Genotypic Coefficient Of Variation

In order to assess the variability of yield contributing characters of 50 okra accessions and their interrelation effects on the yield of green pod a field experiment was undertaken at the Horticulture Farm of Bangladesh Agricultural University, Mymensingh during the period from February, 2002 to May, 2002. A wide range of variation was observed in case of weight of green pod per plant (105- 281g), days to first flowering (40-52days) and weight of individual green pod (14-26g). Moderate variation for length of green pod (12-19cm), number of green pods per plant (6-11) and yield of green pod (4-13 t/ha), lesser variation for percent of dry matter content (5-8%), number of ridges per green pod (5-9) and diameter of green pod (1-2cm) was observed. The highest genotypic coefficient of variation was observed in case of yield of green pod (GCV= 23.22%) followed by weight of green pod per plant (22.24%), weight of individual green pod (18.68%), number of ridges per green pod (13.49%), number of green pod per plant (10.84%), dry matter content of green pod (10.48%), diameter of green pod (6.90%) and length of green pod (6.24%). These characters suggested the existence of justifiable genetic distance among different cultivars. Correlation coefficient indicated that yield of green pod had highly significant positive association with weight of green pod per plant and weight of individual green pod. Path coefficient analysis showed that the weight of green pod per plant and weight of individual green pod were directly contributed towards the yield of green pod. Key words: Okra, accession, variability, yield.

scholarly journals Genetic correlation and path coefficient analysis in groundnut (Arachis hypogaea L.)

2014 ◽  
Vol 12 (1) ◽  
pp. 96-105
Author(s):  
MK Alam
Keyword(s):  
Harvest Index ◽  
Canopy Temperature ◽  
Positive Association ◽  
Kernel Weight ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Rapid Improvement ◽  
Significant Positive Association ◽  
Pod Yield ◽  
Arachis Hypogaea L

Correlation and path co-efficient analysis were carried out for pod yield and its yield components characters in 45 genotypes of groundnut. The genotypic correlation co-efficient were found to be of relatively higher magnitude than the corresponding phenotypic correlation co-efficient, indicating strong inherent association between the characters. Pod yield showed significant positive association with secondary branches/plant, harvest index, 100-pod weight, 100-kernel weight, pod size, diseases incidence and canopy temperature. Path co-efficient analysis revealed high direct effects of primary branches/plant, secondary branches/plant and harvest index. Hence, it would be rewarding to give due importance on the selection of these characters for rapid improvement in pod yield of groundnut. DOI: http://dx.doi.org/10.3329/sja.v12i1.21116 SAARC J. Agri., 12(1): 96-105 (2014)

scholarly journals Correlation and path coefficient analysis among yield and yield attributing traits of wheat (Triticum aestivum L.) genotypes

2020 ◽  
Vol 5 (2) ◽  
pp. 196-199
Author(s):  
Koshraj Upadhyay
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Direct Effect ◽  
Harvest Index ◽  
Triticum Aestivum L ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Genotypic Correlation ◽  
Lattice Design ◽  
Positive Direct

To assess correlation and to find out the direct and indirect effect of yield attributing traits on grain yield, thirty wheat (Triticum aestivum L.) genotypes were experimented at Kamalamai-04, Phant, of Sindhuli district, Nepal. The experiment was laid out in alpha-lattice design with three replications. Thirteen quantitative traits including grain yield of wheat were studied during this study. The grain yield of wheat has significant (P≤0.01) and positive genotypic and phenotypic correlation with number of spikes per meter (0.6**, 0.47**), grains per spike (0.69**, 0.65**), weight of grains per spike (0.69**, 0.61**), thousand kernel weight (0.87**, 0.74**), maturity days (0.5*, 0.47**), above ground mass yield (0.96**, 0.83**) and  harvest index (0.93**, 0.64**) of wheat. The genotypic correlation is higher in magnitude than the phenotypic correlation for almost all the studied traits. Path analysis of genotypic correlation showed a high positive direct effect of plant height (0.75), above ground biomass (0.6), spike length (0.43), and harvest index (0.29) on grain yield of wheat. Hence, for increasing yield of wheat in the breeding program, selection and hybridization can be made more effective and accurate by using those a significant positive correlation coefficient and direct effect on the grain yield of wheat.

scholarly journals Interrelationship and Cause - Effect Analysis for Yield and Yield Attributing Traits in Rice (Oryza sativa L.) Genotypes

2020 ◽  
pp. 511-518
Author(s):  
B. Soundharya ◽  
Ramya Rathod ◽  
Firdoz Shahana ◽  
Y. Swathi ◽  
P. Jalender Naik ◽  
...  
Keyword(s):  
Oryza Sativa L ◽  
Positive Association ◽  
Test Weight ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Effect Analysis ◽  
Rice Genotypes ◽  
Selection For ◽  
High Yielding Varieties ◽  
Positive Direct

The basic aim of plant breeders is to improve the yielding potential of existing varieties along with creation of new high yielding varieties. This experiment was carried out to study the association of yield and yield attributing traits along with path coefficient analysis among twenty rice genotypes. Analysis of variance revealed the existence of significant differences in genotypes for all the characters studied. Grain yield had positive significant association with ear bearing tillers/m2 (0.5395**/0.6264**), number of filled grains per panicle (0.5236**/0.5774**) and test weight (0.2575*/0.2560*) and days to 50 percent flowering (0.3294**/0.3648**), It indicates that these characters are important for yield improvement. Path coefficient analysis revealed maximum positive direct effect of number of filled grains per panicle (1.4128/1.8979), test weight(1.1812/1.5927), days to fifty percent flowering (0.2404/0.1669), ear bearing tillers (0.0159/0.1224) and panicle length(0.0710/0.0813). Selection for the traits with positive association and direct effects will be useful for the improvement in yield of rice through breeding programme.

scholarly journals Genetic diversity and character association analysis based on pomological traits in olive (Olea europaea L.)

2017 ◽  
Vol 9 (3) ◽  
pp. 1551-1556
Author(s):  
S. Lal ◽  
O. C. Sharma ◽  
D. B. Singh
Keyword(s):  
Olea Europaea ◽  
Oil Content ◽  
Positive Association ◽  
Fruit Weight ◽  
Fruit Yield ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Significant Positive Association ◽  
Olea Europaea L ◽  
Olea Europaéa

Thirteen exotic genotypes of olive (Olea europaea L.) were studied for the genetic variability, correlation and path coefficient analysis for fruit quality, yield and yield contributing traits at experimental farm of ICAR-CITH, Srinagar during 2009-2013. Maximum variability was recorded for fruit yield and oil content, however, low differ-ences between the phenotypic and genotypic coefficients of variations indicated low environmental influences on the expression of these characters. High heritability coupled with high genetic advance was obtained with fruit yield per plant, acidity, fruit pulp weight, fruit weight and stone weight. Fruit weight (r=0.329), stone weight (r=0.405) and oil content (r=0.841) were the most important traits, which possessed significant positive association with fruit yield per plant. Path coefficient analysis revealed that among the different yield contributing characters oil content (0.875), fruit weight (0.797) followed by acidity (0.501), peroxides value ( 0.199) and fruit length (0.054) influenced fruit yield per plant directly. The direct effects of these characters on fruit yield were found positive and considerably very high.The selection based on fruit weight, stone weight oil content and yield per plant will be effective for enhancing the fruit and oil yieldand making future olive breeding strategies.

Path analysis for quality traits in field pea (Pisum sativum L.)

2017 ◽  
Vol 37 (04) ◽  
Author(s):  
HemantLovely Toppo ◽  
R. N. Sharma ◽  
A. Thakur
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Additive Genetic Variance ◽  
Positive Association ◽  
Field Pea ◽  
Direct Selection ◽  
Path Coefficient ◽  
Significant Positive Association ◽  
Qualitative Characters ◽  
Positive Direct

The present experiment was conducted during November 2014–March 2015. The experiment was done to estimate the variability and character association of different qualitative characters on seed yield of 29 field pea genotypes in a randomised complete block design (RCBD). The analysis of variance revealed that the sufficient variability was present in the material studied for almost all the qualitative characters. Among the different quality parameters the moderate genotypic coefficient of variation was for swelling index. Among the quality parameter, high heritability coupled with high genetic advance was not recorded for any quality character indicating non-significant additive genetic variance in genetic control of these traits. The correlation analysis revealed that seed yield plant-1 exhibited a significant positive association with protein at genotypic level. Path coefficient analysis for seed yield and its components showed that protein content had the negligible positive direct effect on seed yield. Direct selection for quality characters would likely not be effective in increasing or decreasing seed yield in field pea.

scholarly journals Correlation Coefficient and Path Analysis in Table Pea (Pisum sativumvar. Hortense L.)

2020 ◽  
pp. 56-60
Author(s):  
Archi Gupta ◽  
Bijendra Singh ◽  
Satya Prakash ◽  
Sanghamitra Rout ◽  
Jagraj Singh
Keyword(s):  
Path Analysis ◽  
Correlation Coefficient ◽  
Seed Yield ◽  
Correlation Coefficients ◽  
Research Centre ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Quantitative Characters ◽  
Positive Direct ◽  
Number Of Seeds

An experiment was layout at the Horticulture Research Centre, SVPUAT, Meerut During 2018-2020 to estimate correlation coefficients and path coefficient analysis in Table pea using 36 genotypes including eight parents and 28 F1 on nine quantitative characters. Correlation coefficient result showed that seed yield per plant have highly significant and positive correlation with number of pods per plant (0.821, 0. 818), length of first fruiting node (0.587, 0.585), number of seeds per pod (0.547, 0.517), days to 50% flowering (0.467, 0.464), plant height (0.447, 0.447), width of pod (0.387, 0.284), length of pod (0.375, 0.363) and number of first fruiting node (0.353, 0.349). Path coefficient result showed that the highest positive direct effect on seed yield per plant was exhibited by several pods per plant, several seeds per pod and days to 50% flowering at both genotypic and phenotypic level.

scholarly journals Correlation coefficient analysis in twelve gladiolus (Gladiolus hybrids Hort.) genotypes

2017 ◽  
Vol 9 (2) ◽  
pp. 710-714
Author(s):  
Dhara Singh ◽  
Ashutosh Mishra ◽  
Jitendra Singh ◽  
Vikas Kumar Khattik ◽  
Balram Meena
Keyword(s):  
Correlation Coefficient ◽  
Negative Correlation ◽  
Correlation Coefficients ◽  
Positive Association ◽  
Spike Length ◽  
Phenotypic Correlation ◽  
Genotypic Correlation ◽  
Size Index

Study was undertaken to analyses the correlation co-efficient for twenty seven characters in twelve genotypes of gladiolus (Gladiolus hybridusHort.) grown atthe Instructional Farm, Department of Floriculture & Landscaping, College of Horticulture & Forestry, Jhalarapatan, Jhalawar. Spike length had highly positive association with rachis length (rg:0.92, rp:0.88), floret diameter (rg:0.94, rp:0.0.74), spike diameter (rg:0.66, rp:0.50), duration of flowering (rg:0.71, rp:0.42), number of florets per spike (rg:0.89, rp:0.84), number of cormels per plant (rg:0.69, rp:0.65), diameter of corm (rg:0.48, rp:0.41), weight of corm (rg:0.44, rp:0.40), weight of cormels per plant (rg:0.20, rp:0.19), size index of corms (rg:0.41, rp:0.38), florets remaining open at a time in vase (rg:0.56, rp:0.33). At both genotypic and phenotypic levels it had negative correlation with number of spikes per plot (rg:-0.56, rp:-0.48), number of corms per plant (rg:-0.72, rp:-0.50), number of corms per plot (rg:-0.60, rp:-0.54) and florets remaining unopened (rg:-0.39, rp:-0.37). It was observed that for most of the characters genotypic correlation coefficients were higher than phenotypic correlation coefficients.

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