Correlation and Path Coefficient for Economic Traits of Fruit Mulberry (Morus spp.) Based on Criteria Mulberry Selection

2019 ◽  
Vol 891 ◽  
pp. 66-70
Author(s):  
Sujaree Nonthakod ◽  
Putthaporn Wiwacharn ◽  
Chontira Sangsiri ◽  
Tanaporn Kajonphol
Keyword(s):  
Branch Length ◽  
Fruit Weight ◽  
Fruit Yield ◽  
Direct Selection ◽  
Path Coefficient ◽  
Economic Traits ◽  
Fruit Length ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
The Relationship

This study was conducted to analyze the correlation between traits of fruit mulberry from 71 hybrid accessions. The results revealed that the fruit yield (FY) had intermediately positive correlated to branch per trunk (BPT, r = 0.46). Fruit width (FWI) had very highly positive correlated to fruit length (FL, r = 0.77) and fruit weight (FWE, r = 0.86). Fruit length (FL) had highly positive correlated to fruit weight (FWE, r = 0.91) but had slightly negative correlated to bud per branch (BPB, r = -0.28). Fruit weight (FWE) had slightly positive correlated to branch length per trunk (BLPT, r = 0.27) but had slightly negative correlated to bud per branch (BPB, r = -0.29). Finally, branch length per trunk (BLPT) had intermediately negative correlated to bud per branch (BPB, r = -0.39). Additionally, the economic traits which had highly positive direct effect through fruit yield was branch length per trunk (BLPT, path coefficient = 0.428). The correlation and path analysis are suggested for the direct selection of branch length per trunk for fruit mulberry yield improvement. This result showed the relationship among traits and making indirect criteria for selection fruit mulberry in breeding system.

scholarly journals Correlation and Path Analysis Studies on Yield and Yield Components in Musk Melon (Cucumis melo L.)

2021 ◽  
pp. 130-136
Author(s):  
S. Nanthakumar ◽  
R. S. Sankar ◽  
D. Rameshkumar
Keyword(s):  
Path Analysis ◽  
Cucumis Melo ◽  
Tamil Nadu ◽  
Fruit Weight ◽  
Fruit Yield ◽  
Path Coefficient ◽  
Fruit Length ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Cucumis Melo L

Problem: The correlation co-efficient indicates the nature of association among the different traits, path analysis splits the correlation co-efficient into measure of direct and indirect effects thus providing understanding of the direct and indirect association of each character towards yield. Methods: An experiment on correlation and path analysis involving thirty F1 and six parents in muskmelon (Cucumis melo L.) was carried out at Department of Horticulture, Adhiparasakthi Agricultural College, Kalavai, Vellore district, Tamil Nadu India. Results: The fruit yield per plant had exhibited highly significant and positive correlation with individual fruit weight (0.845), fruit diameter (0.656), fruit length (0.536) and flesh thickness (0.503). Path coefficient analysis revealed that the characters viz., fruit weight exerted the highest positive direct effect (1.034) on fruit yield per vine followed by number of fruits per vine (0.497), days to first female flower anthesis (0.088), vine length (0.072) and fruit length (0.070). Conclusion: The fruit yield per plant can be improved by making selection of these traits in yield improvement programme.

scholarly journals Genetic Variability, Correlation and Path Coefficient Analysis in F2 Segregating Population in Tomato (Solanum lycopersicum L.)

2017 ◽  
Vol 104 (.1-.4) ◽  
Author(s):  
Gopinath P ◽  
◽  
Irene Vethamoni P
Keyword(s):  
Genetic Variability ◽  
Fruit Weight ◽  
Fruit Yield ◽  
Direct Selection ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Solanum Lycopersicum L ◽  
F2 Population ◽  
Positive Direct ◽  
Pericarp Thickness

Genetic variability, heritability and genetic advance for fifteen yield contributing traits were studied in F2 population obtained from the cross of Arka Vikas × EC 519809. The study indicated that existence of considerable amount of genetic variability for all the characters studied. The characters viz., fruit yield per plant, number of fruits per plant, number of primary branches, total phenol and pericarp thickness exhibited higher values of genotypic and phenotypic coefficient of variation. Whereas, fruit yield per plant, individual fruit weight, pericarp thickness and number of primary branches per plant exhibited high estimates of heritability and genetic advance for yield per plant and average fruit weight. These characters can be effectively improved through selection. Correlation indicated that yield was significantly and positively associated with plant height, number of flowers per cluster, percent fruit set, fruit length, fruit diameter, individual fruit weight and number of fruits per plant. Number of fruits per cluster and number of fruits per plant showed the highest positive direct effect on fruit yield per plant. Direct selection may be executed considering these traits as the main selection criteria to reduce indirect effect of other characters during development of high yielding tomato variety.

scholarly journals Variability and inter relationship studies in tomato (Solanum lycopersicum L.)

2016 ◽  
Vol 13 (1) ◽  
pp. 65-69
Author(s):  
MZ Ullah ◽  
L Hassan ◽  
Sonia Binte Shahid ◽  
AK Patwary
Keyword(s):  
Fruit Weight ◽  
Fruit Yield ◽  
Direct Selection ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Solanum Lycopersicum L ◽  
Locule Number ◽  
High Heritability ◽  
Positive Direct ◽  
Fruit Diameter

Twenty parental genotypes of tomato were planted and observed of yield and yield attributing traits to measure genetic variability, character association and path coefficient analysis. Parent TM 371 ranked first with respect to yield (4.73 kg fruit yield per plant) followed by TM 390. In terms of average fruit weight TM 390 also was better performer. Analysis of variance for each trait showed significant differences among the genotypes. High genotypic and phenotypic coefficients of variation were recorded for fruits per plant, locule number per fruit and fruit yield per plant. Heritability was observed high for flowers per cluster, fruits per plant, fruit weight and fruit length. fruit per plant (52.30), followed by fruit weight (46.32).High heritability associated with high genetic advance was observed for fruits per plant (52.30) and fruit weight (46.32) and flower per cluster (33.50). Selection for such traits might be effective for the fruit yield improvement of tomato. Significant positive genotypic and phenotypic correlation was observed of fruits per plant, fruit weight, fruit diameter and locule number per fruit with fruit yield per plant indicated that selection strategies must be focus on these traits. Fruit diameter showed the highest positive direct effect (3.25) on fruit yield per plant followed by fruits per plant (1.54). Direct selection may be executed considering these traits as the main selection criteria to reduce indirect effect of the other characters during the development of high yielding tomato variety.J. Bangladesh Agril. Univ. 13(1): 65-69, June 2015

scholarly journals Study of Correlation and Path Analysis in the Selected Okra Genotypes

2020 ◽  
pp. 1-11
Author(s):  
A. T. M. Hamim Ashraf ◽  
M. Mizanur Rahman ◽  
M. Mofazzal Hossain ◽  
Umakanta Sarker
Keyword(s):  
Path Analysis ◽  
Direct Effect ◽  
Fruit Weight ◽  
Fruit Yield ◽  
Phenotypic Correlation ◽  
Genotypic Correlation ◽  
Fruit Length ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Fruit Diameter

An experiment was conducted at the experimental farm, Department of Horticulture, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur from March 2008 to July 2008 to study the correlation and path analysis in the selected okra genotypes. The experiment was carried out in Randomized Complete Block Design with thee replications. The results indicated that different genotypes varied significantly regarding all the studied characters. The Fruits per plant and fruit weight of different genotypes had a high degree of significant positive association with fruit yield and a high positive direct effect indicated that these characters had a major contribution towards the fruit yield of the genotypes. The days to first flowering and days to first fruit harvest showed a significant positive correlation with picking duration both genotypic and phenotypic levels. The Picking duration showed a highly significant positive genotypic correlation with fruit diameter and fruit length. At the final harvest plant height showed a highly significant positive genotypic correlation with fruit length and fruit weight at the genotypic level. The fruit length showed a highly significant positive genotypic correlation with fruit weight and fruit diameter and genotypic level. The fruits per plant showed a highly significant positive genotypic and phenotypic correlation with fruit yield. A significant positive genotypic correlation with fruit yield was shown by fruit weight. The fruits per plant (0.979) and fruit weight (0.554) also showed a high positive direct effect on fruit yield.

scholarly journals Genetic analysis of agronomic and biochemical variables among different tomato (Solanum lycopersicum L.) accessions

2015 ◽  
Vol 7 (2) ◽  
pp. 806-816 ◽  
Author(s):  
Om Prakash Meena ◽  
Vijay Bahadur ◽  
Ashok Jagtap ◽  
Pawan Saini
Keyword(s):  
Correlation Coefficients ◽  
Fruit Weight ◽  
Fruit Yield ◽  
Direct Selection ◽  
Phenotypic Correlation ◽  
Solanum Lycopersicum L ◽  
Qualitative Characters ◽  
Correlation And Path Analysis ◽  
Polar Diameter ◽  
Positive Direct

In the present study, thirty accessions of tomato were evaluated for estimation of correlation and path analysis among various quantitative and qualitative characters related to fruit yield. There were highly significant differences among the accessions for all the characters studied as per the analysis of variance. Genotypic correlation coefficients were generally similar in nature and higher in magnitude than the corresponding phenotypic correlation coefficients. The results revealed that the fruit yield plant-1 was significantly and positively correlated with number of fruits plant-1 (0.3119 and 0.3184) followed by fruit set percentage (0.2434 and 0.2499), fruit weight (0.6766 and 0.6731), polar diameter of fruit (0.4687 and 0.4635) at genotypic and phenotypic level, respectively, indicating that effective improvement in fruit yield plant-1 through these characters could be achieved. Fruit weight showed positive and significant genotypic and phenotypic correlation with fruit yield plant-1 by having greatest positive direct effect (1.1298 and 1.1116) on fruit yield plant-1 at both levels, indicating the true relationship between them and the feasibility to exploit the potentiality of this trait for effective direct selection to improve fruit yield plant-1.

Correlation and path analysis of morpho-physiological and yield traits in boro rice (Oryza sativa L.)

2015 ◽  
Vol 35 (4) ◽  
Author(s):  
Shantanu Das ◽  
Debojit Sarma
Keyword(s):  
Grain Yield ◽  
Harvest Index ◽  
Direct Selection ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Yield Traits ◽  
Biological Yield ◽  
Rice Genotypes ◽  
Correlation And Path Analysis ◽  
Positive Direct

Thirty rice genotypes of local and exotic origin were analyzed to ascertain the genotypic and phenotypic correlation among 21 morpho-physiological and yield traits and their direct/ indirect contribution to grain yield under <italic>boro</italic> season. The result revealed that grain yield per plant had significant positive correlation with biological yield (0.927**, 0.766**), harvest index (0.748**, 0.658**), days to first flowering (0.459*, 0.377*), panicle length (0.501**, 0.445*), grains per panicle (0.576**, 0.484**) and 1000 grain weight (0.573**, 0.460*) at both genotypic and phenotypic levels. Path coefficient analyses at both genotypic and phenotypic levels revealed high positive direct effect of biological yield (0.7181) and harvest index (0.6382) on grain yield per plant. Thus direct selection for grain yield per plant and indirect selection through these characters would be effective to improve yield in <italic>boro</italic> rice.

scholarly journals Correlation and path-coefficient analysis in Ramnad Mundu chilli (Capsicum annuum L.) for yield and quality traits

2021 ◽  
Vol 16 (1) ◽  
pp. 1-6
Author(s):  
J. Phani Kumar ◽  
P. Paramaguru ◽  
T. Arumugam ◽  
N. Manikanda Boopathi ◽  
K. Venkatesan
Keyword(s):  
Capsicum Annuum ◽  
Seed Weight ◽  
Block Design ◽  
Crop Improvement ◽  
Fruit Yield ◽  
Direct Selection ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Capsicum Annuum L ◽  
Positive Direct

The present investigation was conducted to find the correlation and path-coefficient analysis for yield and yield contributing characters in Ramnad Mundu chilli (Capsicum annuum L.) during Kharif 2018-19. The experiment was conducted on Forty-seven Mundu chilli genotypes for 15 characters, which was laid out in Randomized Complete Block Design with two replications. From correlation study dry fruit yield per plant showed highly positive correlation with number of fruits per plant (0.971 G, 0.894 P), ripened fruit yield per plant (0.991 G, 0.949 P), number of seeds per fruits (0.383 G, 0.32 P), 1000 seed weight (0.369 G, 0.332 P), capsaicin % (0.302 G, 0.256 P) and number of primary branches per plant (0.267 G, 0.251 P) at both genotypic and phenotypic level. Path-coefficient analysis of different characters contributing towards the highest positive direct effect via number of fruits per plant (0.973), ripened fruit yield per plant (0.991), no. of seeds per fruit (0.383), 1000 seed weight (0.364), capsaicin % (0.302) and number of primary branches per plant (0.267). Hence, direct selection based on these characters would be effective in crop improvement through plant breeding in Mundu chilli.

scholarly journals Variability, correlation and path analysis in pumpkin (Cucurbita moschata L.)

2015 ◽  
Vol 40 (3) ◽  
pp. 479-489
Author(s):  
S Sultana ◽  
MA Kawochar ◽  
S Naznin ◽  
A Siddika ◽  
F Mahmud
Keyword(s):  
Direct Effect ◽  
Strong Association ◽  
Fruit Weight ◽  
Fruit Yield ◽  
Cucurbita Moschata ◽  
Fruit Length ◽  
Female Flowering ◽  
Male Flowers ◽  
Positive Direct ◽  
Female Flowers

Twenty one genotypes of pumpkin (Cucurbita moschata L.) were evaluated to measure the variability among the genotypes for several characters, estimate genetic parameters, association among the characters and their contribution to yield. There was a great deal of significant variation for all the characters among the genotypes. High variability was observed in number of female flowers/plant, number of male flowers/plant, single fruit weight and fruit yield/plant. All the characters except days to first male flowering and days to first female flowering showed high heritability along with high genetic advance in percent of mean. The positive and strong association of number of female flowers/plant (rg=0.918, rp=0.839), number of male flowers/plant (rg=0.687, rp=0.638), fruit length (rg=0.691, rp= 0.520), fruit breadth (rg=0.518, rp=0.420) and single fruit weight (rg=0.492, rp= 0.431) with fruit yield/plant revealed the importance of these characters in determining fruit yield/plant. On the other hand, days to first male flowering (rg = -0.623, rp = -0.550) and days to first female flowering (rg= - 0.689, rp= -0.543) correlated significantly and negatively with fruit yield/plant. The path co-efficient analysis revealed that the highest positive direct effect was recorded in number of female flowers (0.887) to fruit yield and high direct effect was found in case of days to first female flowering (0.798). Fruit breadth was observed to have the highest positive indirect effect (0.899). In case of fruit length (0.381) and single fruit weight (0.398), the significant positive correlation with fruit yield/plant was observed because of the combination of the direct and indirect effects of fruit length and single fruit weight to fruit yield/plant. Overall, the results indicated that days to first female flowering, number of female flowers, fruit length, fruit breadth and single fruit weight can be used as useful selection criteria to increase fruit yield/plant in pumpkin.Bangladesh J. Agril. Res. 40(3): 479-489, September 2015

scholarly journals Correlation and path coefficient analysis of mango (Mangifera indica L.)

2012 ◽  
Vol 37 (3) ◽  
pp. 493-503 ◽  
Author(s):  
DAN Majumder ◽  
L Hassan ◽  
MA Rahim ◽  
MA Kabir
Keyword(s):  
Path Analysis ◽  
Direct Effect ◽  
Significant Positive Correlation ◽  
Fruit Set ◽  
Fruit Weight ◽  
Path Coefficient ◽  
Direct Effects ◽  
Fruit Length ◽  
Positive Direct ◽  
Perfect Flower

Sixty diverse genotypes of mango were selected from the Germplasm Centre of BAU during December 2007–August 2009 to determine the genotypic and phenotypic correlation along with their direct and indirect effects through path coefficients analysis in mango as to estimate the contribution of most important characters towards yield. It appeared that in most of the cases, the genotypic correlation values were higher than their corresponding phenotypic values. This suggests that there were strong inherent relationship between the traits. Percent flowering shoot had significant positive correlation with inflorescence per shoot, percent perfect flower, percent initial fruit set, number of fruits per plant and fruit weight both at phenotypic and genotypic levels. Fruit yield is determined by some components. The residual effects of genetic and phenotypic path analysis were 0.209 and 0.385, respectively, revealed higher genetic variability and also proved lower percent of environmental influence on the selected ten characters. In genotypic path analysis, number of fruits per plant had the highest positive direct effect (0.899) on yield. Higher positive direct effects were also observed for the characters inflorescence per shoot (0.539), percent perfect flower (0.816), and percent initial fruit set (0.292), and fruit weight (0.324). Leaf area, percent flowering shoot, number of fruits per plant, and fruit length showed negative direct effects towards yield. In phenotypic path analysis, except percent flowering, shoot per plant and fruit length and other characters also exhibited similar trend on yield as genotypic path coefficient. In combination with correlation coefficient and path analysis, it was found that number of fruits per plant and percent perfect flower gave significant positive correlation coefficients with yield and also produce the high positive direct effect. Thus, it was clear that plant height, inflorescence per shoot, percent perfect flower, percent initial fruit set per inflorescence, and fruit weight are the major component of fruit yield in mango. Bangladesh J. Agril. Res. 37(3): 493-503, September 2012 DOI: http://dx.doi.org/10.3329/bjar.v37i3.12126

Genetic variability and correlation studies in brinjal (Solanum melongena L.)

2017 ◽  
Author(s):  
G. Samlind sujin ◽  
P. Karuppaiah ◽  
K. Saravanan
Keyword(s):  
Genetic Variability ◽  
Block Design ◽  
Genotypic Variation ◽  
Solanum Melongena ◽  
Morphological Characters ◽  
Fruit Weight ◽  
Fruit Yield ◽  
Path Coefficient ◽  
Fruit Borer ◽  
Positive Direct

The present investigation was carried out in the Department of Horticulture, Faculty of Agriculture, Annamalai University, during the period 2014 - 2015 to asses the extent of genetic variability, heritability, correlation and path coefficient analysis of 60 genotypes of brinjal for yield and shoot and fruit borer tolerance. The experiment was laid out in randomized block design with three replications. The maximum phenotypic and genotypic variation was noted for fruit yield per plant followed by fruit weight, fruit girth, number of fruits per plant and shoot and fruit borer incidence. High heritability along with high estimates of GCV, genetic advance and genetic gain were observed for fruit yield per plant, fruit weight, number of secondary branches per plant and shoot and fruit borer incidence. Among the sixteen morphological characters studied, number of long styled flowers per plant, number of short styled flowers per plant, number of fruits per plant, fruit weight, days to first harvesting and shoot and fruit borer incidence showed positive direct effect. For fruit weight, fruit girth and number of fruits per plant were observed positive and significant correlation. It is suggested that the greater emphasis should be given for selection of these characters.

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