scholarly journals Character Association And Path Analysis Of Exotic Tomato (Solanum Lycopersicum L.) Genotypes

1970 ◽  
Vol 23 (1) ◽  
pp. 13-18 ◽  
Author(s):  
BMR Islam ◽  
NA Ivy ◽  
MG Rasul ◽  
M Zakaria
Keyword(s):  
Solanum Lycopersicum ◽  
Direct Effect ◽  
Correlation Coefficients ◽  
Residual Effect ◽  
Fruit Weight ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Fruit Length ◽  
Solanum Lycopersicum L ◽  
Effect On Yield

Correlations and path coefficient were studied in 39 exotic tomato (Solanum lycopersicum L.) genotypes for nine yield contributing characters. The correlation coefficients were determined to find out the inter relationship among the characters studied. Yield per plant was found highly significant and positively correlated with flowers per plant, fruits per plant, fruit length, fruit diameter and individual fruit weight which indicated that yield could be increased by improving a traits. In order to obtain a clear picture of the inter relationship between yield per plant and its components, direct and indirect effects were measured using path coefficient analysis. Fruits per plant showed the highest positive direct effect (0.980) on yield per plant followed by individual fruit weight (0.958). On the other hand, the highest negative direct effect on yield per plant showed by days to first flowering (-0.277) followed by fruit length (-0.141). The characters showed high direct effect on yield per plant indicated that direct selection for these traits might be effective and there is a possibility of improving yield per plant through selection based on these characters. Residual effect was considerably low (0.183) which indicated that characters included in this study explained almost all variability towards yield. Keywords: Correlation coefficients; path coefficient analysis; residual effect DOI: http://dx.doi.org/10.3329/bjpbg.v23i1.9313 BJPBG 2010; 23(1): 13-18

scholarly journals Character association and path coefficient analysis for identification of yield enhancing characters in snake gourd (Trichosanthes anguina L.)

2016 ◽  
Vol 3 (2) ◽  
pp. 57-65
Author(s):  
S Islam ◽  
R Hasan ◽  
A Bashar ◽  
MK Hossain ◽  
AKM M Huque ◽  
...  
Keyword(s):  
Correlation Coefficients ◽  
Direct Selection ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Fresh Weight ◽  
Fruit Length ◽  
Selection For ◽  
Effect On Yield ◽  
Positive Direct ◽  
Positive Effect

Correlations and path coefficient were studied in seven snake gourd genotypes namely Turag, Surma, Vorosa, Manghosito, Jhumlong, Green nitch and Monosha for yield and eleven yield contributing characters. The correlation coefficients were determined to find out the interrelationship among the characters studied. The correlation studies revealed that, yield/plant had positive and highly significant correlation both in phenotypic and genotypic level with fresh weight/fruit, fruit girth, fruits/plant, plant height and fruit length which indicated that yield could be increased by selecting these characters. Direct and indirect effects were measured using path coefficient analysis in order to obtain mechanisms of interrelationship between yield/plant and its components. The highest positive direct effect (0.9763) on yield/plant was found in fresh weight/fruit followed by fruits/plant (0.4179) and fruit length (0.2665). The characters showed direct positive effect on yield/plant indicated that direct selection for these traits might be effective for improving yield through selection in snake gourd.Jahangirnagar University J. Biol. Sci. 3(2): 57-65, 2014 (December)

scholarly journals A Research on determining the factors affecting on seed yield in different lentil lines and cultivars (Lens culinaris Medik.) in adiyaman conditions by correlation and path coefficient analysis

2021 ◽  
Vol 6 (1) ◽  
pp. 17
Author(s):  
Umit Girgel ◽  
Hatice Cokkizgin ◽  
Alihan Cokkizgin
Keyword(s):  
Direct Effect ◽  
Seed Yield ◽  
Indirect Effect ◽  
Lens Culinaris ◽  
Correlation Coefficients ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Factors Affecting ◽  
Positive Direct ◽  
Pod Number

This research was conducted in 2015 year in Kahramanmaras province (37°32'09.5"N 36°55'01.2"E) with 3 lentil genotypes (CAGIL, FIRAT-87, and FLIP 2005-20 L).  In the research, direct and indirect effects of yield components on seed yield were examined by correlation and path coefficient analysis. The correlation coefficients between the investigated features were found to be insignificant. According to the path coefficients, the highest positive direct effect on seed yield was determined as pod number per plant (p=4.015). On the other hand, the highest negative direct effect on seed yield was obtained from plant height (p=-3.606). The indirect effect of the seed number per plant over number of days until maturity on the seed yield was determined as the highest positive indirect effect (p=55.546%). The indirect negative highest effect on seed yield was determined in the pod number per plant over thousand seed weight (p=51.488%). As a result, the number of pods per plant should be taken into consideration by the breeders due to direct effect of it was positive and high

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

scholarly journals Correlation and Path Coefficient Analysis of Yield Related Traits in F3 Populations of Brinjal from Intra-specific Hybridization

2020 ◽  
pp. 58-67
Author(s):  
Kasireddy Sivasankarreddy ◽  
Prabalee Sarmah ◽  
Debojit Sarma ◽  
Purna Kanta Barua ◽  
Sailen Gogoi
Keyword(s):  
Fruit Weight ◽  
Path Coefficient ◽  
Phenotypic Variance ◽  
Path Coefficient Analysis ◽  
Fruit Length ◽  
F2 Population ◽  
Specific Hybridization ◽  
Significant Difference ◽  
Level Of Significance ◽  
Number Of Branches

In the present experiment the selected progenies of F2 population [MLC-1 x Longai (oblong)] i.e. plant number 2, 12, 10, 3, 11, 19 and progenies of F2 population [MLC-3 x Longai (oblong)] i.e. plant number 22, 26, 28, 105, 107, 109 along with their respective bulk populations evaluated based on eight quantitative traits. There was a significant difference among the genotypes for all the characters studied at 1% level of significance. The phenotypic variance, phenotypic coefficients of variation were higher than the genotypic variance, genotypic coefficient of variation respectively in all the traits studied. Among all the genotypes high heritability coupled with high genetic advance as percent of mean except fruit length which indicating that all the traits were governed by additive gene action except fruit length. Characters viz., number of fruits per plant, plant height, fruit weight, number of branches per plant recorded positive and significant association with yield per plant in the genotypes. Path coefficient analysis revealed that number of fruits per plant is important yield attributing trait because of their high direct effect and indirectly influencing number of branches per plant is another most important yield attributing trait.

scholarly journals Correlation and Path Coefficient Analysis in Tomato (Solanum lycopersicum L.)

2020 ◽  
Vol 9 (11) ◽  
pp. 2569-2575
Author(s):  
K. Sushma ◽  
P. Saidaiah ◽  
K. Ravinder Reddy ◽  
Harikishan Sudini ◽  
A. Geetha
Keyword(s):  
Solanum Lycopersicum ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Solanum Lycopersicum L

scholarly journals Correlation and path coefficient analysis in determining the characteristics that affect seed yield in different lentil (Lens culinaris Medik.) genotypes in Kahramanmaras conditions

2021 ◽  
Vol 6 (1) ◽  
pp. 7
Author(s):  
Alihan Cokkizgin ◽  
Umit Girgel ◽  
Hatice Cokkizgin
Keyword(s):  
Direct Effect ◽  
Seed Yield ◽  
Indirect Effect ◽  
Lens Culinaris ◽  
Correlation Coefficients ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Path Coefficients ◽  
Positive Direct ◽  
Pod Number

This research was conducted in 2015 year in Kahramanmaras province (37°32'09.5"N 36°55'01.2"E) with 3 lentil genotypes (CAGIL, FIRAT-87, and FLIP 2005-20 L).  In the research, direct and indirect effects of yield components on seed yield were examined by correlation and path coefficient analysis. The correlation coefficients between the investigated features were found to be insignificant. According to the path coefficients, the highest positive direct effect on seed yield was determined as pod number per plant (p=4.015). On the other hand, the highest negative direct effect on seed yield was obtained from plant height (p=-3.606). The indirect effect of the seed number per plant over number of days until maturity on the seed yield was determined as the highest positive indirect effect (p=55.546%). The indirect negative highest effect on seed yield was determined in the pod number per plant over thousand seed weight (p=51.488%). As a result, the number of pods per plant should be taken into consideration by the breeders due to direct effect of it was positive and high

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