scholarly journals Correlation and path analysis between yield and different morphological characters in Kinnow Mandarin (C. Noballis × C. Deliciosa)

2018 ◽  
Vol 10 (2) ◽  
pp. 759-764
Author(s):  
Geeta Verma ◽  
P.K. Mahajan ◽  
Anju Sharma
Keyword(s):  
Direct Effect ◽  
Morphological Characters ◽  
Fruit Weight ◽  
Yield Potential ◽  
Path Coefficient ◽  
Branch Number ◽  
Effect Analysis ◽  
Correlation And Path Analysis ◽  
Effect On Yield ◽  
Kinnow Mandarin

A study of interrelationship and cause-effect analysis of yield of Kinnow Mandarin (C. Noballis × C. deliciosa) and its component traits for 104 and 96 trees from Indora (Location L-1) and Indpur (Location L-2) blocks of Kangra district respectively had been done in 2014-15. F-test suggested that there was significant (1.47) variation among yield characteristics between these two locations except for fruit weight (gm) and LD ratio. Results obtained from path coefficient analysis, showed that for location L-1, number of fruits per branch (0.229), plant height (0.215) and tree girth (0.212) had highest and direct effect on yield per tree whereas for location L-2, fruit weight (0.38), number of flowers per branch (0.176) and plant girth (0.161) had highest direct effect on yield per plant. Thus, number of fruits per branch, number of flowers per branch and tree girth were the most important yield components of kinnow crop which should be exploited through a breeding programme for improving its yield potential.

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 Relationship Between Root and Yield Related Morphological Characters in Pea (Pisum Sativum L.)

2014 ◽  
Vol 66 (1) ◽  
pp. 3-15
Author(s):  
Sylwia Ciaglo-Androsiuk
Keyword(s):  
Root System ◽  
Morphological Traits ◽  
Lateral Roots ◽  
Morphological Characters ◽  
Yield Potential ◽  
Cultivated Plants ◽  
Genetic Determination ◽  
Canonical Correlations ◽  
Effect On Yield

AbstractRelation between morphological traits of the root system and yield related traits is an important issue concerning efforts aiming at improving of ideotype of cultivated plants species, including pea. In this paper, to analyse the dependency between traits describing the root system morphology and yield potential, Person’s andSpearman's_correlations as well as canonical correlations were used.Root system was analyzed in 14 and 21 day-old seedlings growing in blotting-paper cylinders. Yield potential of pea was analysed in a field experiment. Results of Person’s and Spearman's_correlations revealed that number of lateral roots and lateral roots density were correlated witch yield related traits. Correlation between root length and shoot length was observed only for 14 day-old seedlings. The result of canonical correlations revealed that number of lateral roots and lateral roots density had the largest effect on yield related traits. This work highlights, that in order to improve the yield of pea it might become necessary to understand genetic determination of morphological traits of the root system, especially number of lateral roots.

scholarly journals Selection indices for fruit yield improvement in elite cucumber (Cucumis sativus L.) cultivars

2021 ◽  
Vol 24 (2) ◽  
pp. 89-95
Author(s):  
Emmanuel Ohiosinmuan Idehen ◽  
Paul Chiedozie Ukachukwu ◽  
Francis Abayomi Showemimo
Keyword(s):  
Cucumis Sativus ◽  
Block Design ◽  
Morphological Characters ◽  
Fruit Weight ◽  
Fruit Yield ◽  
Yield Data ◽  
Cucumis Sativus L ◽  
High Heritability ◽  
Correlation And Path Analysis ◽  
Variance Estimates

Abstract Cucumber (Cucumis sativus L.) is an important vegetable crop, rich in vitamins and minerals and eaten fresh as a dessert. Its fruit yield is relatively low, though could be improved through knowledge of character association with it and selection of desirable materials for improvement programmes. Fifteen cultivars of Cucumber were evaluated at two locations (Abeokuta and Ibadan), South West, Nigeria in a randomized complete block design with three replicates in order to determine heritability, correlation, direct and indirect effects of characters on fruit yield. Data collected on agro-morphological characters were subjected to analysis of variance, estimates of heritability, correlation, and path analysis. Significant variations (p <0.05) were observed in the cultivars. High heritability estimates (>90%) was observed for fruit length at both locations. A significant phenotypic and genotypic correlation was observed between fruit yield and fruit weight. Number of days to 50% flowering and fruit width could also be selected directly for improvement of fruit yield in cucumber.

scholarly journals Path analysis of yield components in tropical pumpkin

1969 ◽  
Vol 90 (3-4) ◽  
pp. 183-191
Author(s):  
Miguel Espitia-Camacho ◽  
Franco A. Vallejo-Cabrera ◽  
Diosdado Baena-Garcia ◽  
Linda Wessel-Beaver
Keyword(s):  
Path Analysis ◽  
Indirect Effects ◽  
Block Design ◽  
Genetic Correlations ◽  
Fruit Weight ◽  
Residual Effects ◽  
Path Coefficient ◽  
Direct Effects ◽  
Randomized Complete Block Design ◽  
Effect On Yield

Path coefficient analysis was carried out in tropical pumpkin (Cucurbita moschata Duchesne) for yield per plant as a function of number of fruit per plant and weight per fruit, using phenotypic and genetic correlations from two diallels: one using five varieties (variety diallel) and a second using five S1 lines derived from the varieties (line diallel). A randomized complete block design with five replications was used to evaluate 15 genotypes from each diallel, not including reciprocals. Direct effects were 300 to 500% greater than indirect effects in the line diallel. In contrast, direct effects were only 17 to 68% greater than indirect effects in the variety diallel. Effects (direct and indirect) were greater (17 to 500%) when genetic correlations rather than phenotype correlations (42 to 440%) were used in the path analysis. Fruit weight showed a greater effect on yield than did number of fruit, with values between 3.2 to 4.9 times the residual effects. Fruit weight and number of fruit can be used as selection criteria to increase yield in tropical pumpkin.  

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 Analysis Quantitative Character of 20 Genotype Chilli (Capsicum annuum L.)

2020 ◽  
Vol 2 (1) ◽  
pp. 10-18
Author(s):  
Yunandra Yunandra ◽  
Muhamad Syukur ◽  
Elza Zuhry ◽  
Deviona Deviona ◽  
Deviona Deviona
Keyword(s):  
Path Analysis ◽  
Direct Effect ◽  
Fruit Weight ◽  
Leaf Length ◽  
Leaf Width ◽  
Effect On Yield ◽  
Positive Direct ◽  
Pericarp Thickness ◽  
Fruit Diameter ◽  
Selection Of

ABSTRACT Chili high yield is the target of plant breeding. High yielding chili selection can be done through direct selection of yield characters and indirectly through other characters. Indirect selection is more efficient than the selection of one character. This research aims to study the relationship between quantitative characters with yield as well as obtaining the selection criteria. Correlation analysis results showed that the fruit weight, fruit diameter, pericarp thickness, leaf width, and leaf length were positively correlated and were very significant on yield. Based on the path analysis, characters that have a positive direct effect on yield are fruit weight, fruit diameter, leaf width, and leaf length, while pericarp thickness had a negative direct effect but had a large indirect effect on yield.

scholarly journals Study of Correlation and Path Analysis Between Grain Yield and Yield Related Traits in Wheat

2018 ◽  
Vol 7 (1) ◽  
pp. 57-67
Author(s):  
Maysoun M. S. ◽  
Salih H. F. Al-salim ◽  
Reem Al-edelbi ◽  
Naoman S. M.
Keyword(s):  
Grain Yield ◽  
Direct Effect ◽  
Block Design ◽  
Grain Weight ◽  
Path Coefficient ◽  
Thousand Grain Weight ◽  
Path Coefficient Analysis ◽  
Grain Number Per Spike ◽  
Correlation And Path Analysis ◽  
Corporate Effect

Agricultural experiment carried out during the 2014-2015agricultural season winter wheat planting classAba99in tow sites Al-Shattra and Al-Dwayah in Al-NaseriahExplanatory farmers' fields covered by the national program for the development of the cultivation of wheat in Iraq and four treatments were applied on wheat(Laser plus weed controlling, Laser plus weed controlling plus sulfur, Laser plus weed controlling plus sulfur plus other elements, Control for comparing), in Randomized Complete Block Design RCBD with three replications, Correlations and path coefficient analysis between (number of brunches, Spike Length, number of spikes/m2, grains number per spike, thousand grain weight and plant grain yield), Results showed that grain yield  had a positive significant correlation with each of number of spikes/m2 and grains number per spike (0.711**, 0.465**) respectively.Results of path coefficient analysis showed that the direct effect of number of spikes/m2  on grain yield was high and positive(0.5350), while the indirect effectsfor each of number of brunches and number of grains  per spike and thousand grain weight on grain yield wasmedium and positive (0.2571, 0.2557, 0.2434) respectively, and also the indirect effect for grain number per spike on grain yield through number of spikes/m2 was positive and medium(0.2479). Results also showed that number of spikes/m2 had  the highest contribution in yield as a direct effect 28.621%, followed by the corporate effect of number of spikes/m2  and number of grains in spike12.674%

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.

scholarly journals Genetic variability, correlation and path analysis in tamarind (Tamarindus indica L.)

2020 ◽  
pp. 133-139
Author(s):  
C. Rajamanickam
Keyword(s):  
Path Analysis ◽  
Coefficient Of Variation ◽  
Fruit Weight ◽  
Path Coefficient ◽  
Phenotypic Variance ◽  
Shell Weight ◽  
Pod Yield ◽  
High Heritability ◽  
Correlation And Path Analysis ◽  
Positive Direct

The present study was conducted at the Horticultural College and Research Institute, Periyakulam with the objective to estimate the extent of genotypic and phenotypic coefficient of variation, correlation and path analysis among tamarind genotypes. A remarkable variability was observed among the tamarind collections for all the characters. In all the cases, phenotypic variance was higher than the genotypic variance. Also, phenotypic coefficient of variation was found higher than genotypic coefficient of variation for all the traits. The high heritability coupled with high genetic advance as per cent over mean was observed in the traits such as pod yield plant-1 (98.07%; 76.103%), fruit weight (89.11%; 63.668%), fibre weight (89.95%; 91.967%), shell weight (86.19%; 58.534%) and pulp weight (74.13%; 51.533%) whereas the lowest values were recorded for pod length (34.91%; 13.945%) and tree circumference (20.34%; 8.198%). Thus, it indicated better scope for improvement of these traits through selection programme. Pod yield tree-1 was significantly and positively correlated with pod width, tree circumference and pulp weight. Path coefficient analysis showed that pod yield tree-1 contributed the maximum positive direct effect.

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.

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