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

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.

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

Bangladesh Journal of Plant Breeding and Genetics ◽

10.3329/bjpbg.v23i1.9313 ◽

1970 ◽

Vol 23 (1) ◽

pp. 13-18 ◽

Cited By ~ 1

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

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RESPON DOSIS PUPUK KANDANG KAMBING TERHADAP PERTUMBUHAN DAN HASIL TANAMAN MENTIMUN (Cucumis sativus L.) VARIETAS HIBRIDA

VIABEL Jurnal Ilmiah Ilmu-Ilmu Pertanian ◽

10.30957/viabel.v10i2.140 ◽

2018 ◽

Vol 10 (2) ◽

pp. 11-29

Author(s):

Wahyu Wardiana Dewi

Keyword(s):

Plant Height ◽

Cucumis Sativus ◽

Analysis Of Variance ◽

Fruit Weight ◽

Growth And Yield ◽

Leaf Number ◽

Cucumis Sativus L ◽

Fruit Length ◽

Significant Difference ◽

Goat Manure

This research is aimet to known the responsed of cucumber plant (Cucumis sativus L.), the good means for the growth and yield of cucumber (Cucumis sativus L) of the hybrid varieties doses of good means. This study uses a randomized block design (RAK) with one factor and 5 replications. The main factors, namely: goat manure. First repeat that: without fertilizer (P0), manure goat 10 ton / ha (P1), manure goat 20 ton / ha (P2), manure goat 30 ton / ha (P3), and the latter is manure goat 40 ton / ha (P4). The parameters observed were plant height, leaf number, fruit weight, fruit length and diameter of the fruit. Data analysis by using analysis of variance (ANOVA), if the effect followed by Least Significant Difference Test (BNT). The results based on the analysis of variance showed that: 1) Treatment of manure goat (P) significantly affected the growth and yield of cucumber plants include all the parameters of observation starting plant height, leaf number, fruit weight, fruit length and fruit diameter. Dose goat manure 40 t / ha is the best concentration to produce the highest average values for all parameters. The lowest value of all parameters are shown on the dose P0 (without manure goat / control).

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

Journal of Applied and Natural Science ◽

10.31018/jans.v9i3.1400 ◽

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.

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

Madras Agricultural Journal ◽

10.29321/maj.01.000403 ◽

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.

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GENETIC VARIABILITY, CORRELATION AND PATH COEFFICIENT ANALYSIS OF YIELD AND QUALITY TRAITS IN PUMPKIN (Cucurbita moschata Duch ex Poir.)

Bangladesh Journal of Plant Breeding and Genetics ◽

10.3329/bjpbg.v26i1.19981 ◽

2013 ◽

Vol 26 (1) ◽

pp. 25-33 ◽

Cited By ~ 1

Author(s):

S. Akter ◽

M. G. Rasul ◽

A. K. M. Aminul Islam ◽

M. M. Rahman

Keyword(s):

Female Flower ◽

Dry Weight ◽

Fruit Weight ◽

Reducing Sugar ◽

Total Sugar ◽

Path Coefficient ◽

Path Coefficient Analysis ◽

Yield And Quality ◽

Male Flowers ◽

Female Flowers

The experiment was conducted to study variability, correlation coefficient and path analysis for yield and quality related traits of 30 pumpkin genotypes. Significant variations were found among the genotypes for most of the characters studied. High genotypic coefficient of variation (GCV) and high heritability coupled with high genetic advance in percent of mean were observed for beta-carotene followed by non-reducing sugar, number of seeds per fruit, yield per plant, dry weight, flesh thickness, number of male flowers per plant and number of female flowers per plant which indicated that these characters were under additive gene control and selection for genetic improvement for these traits might be effective. Correlation co-efficient between yield per plant with number of primary branches, number of fruits per plant and single fruit weight were positive and highly significant. On the other hand, days to first female flower, number of male flowers per plant, ß- carotene and total sugar showed positive and insignificant correlation with yield per plant. But correlation between brix content and yield per plant were significantly negative. Path coefficient analysis revealed that the maximum direct contribution towards yield was obtained through number of fruits per plant followed by days to first female flower and single fruit weight indicated that these traits should be considered as primary components of yield. Negative direct effect on yield was exerted by total sugar followed by number of female flowers per plant, reducing sugar and brix content. Considering all the qualitative and quantitative traits ten genotypes as G7, G13, G14, G17, G18, G19, G20, G22, G27, G29 among thirty were selected and suggested to be selfed for the development of inbred line for use in future breeding programme.DOI: http://dx.doi.org/10.3329/bjpbg.v26i1.19981

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

Bangladesh Journal of Agricultural Research ◽

10.3329/bjar.v37i3.12126 ◽

2012 ◽

Vol 37 (3) ◽

pp. 493-503 ◽

Cited By ~ 3

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 2007August 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

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Genetic variability, correlation and path coefficient analysis for quantitative traits in chickpea genotypes

Indian Journal of Agricultural Research ◽

10.18805/ijare.a-4687 ◽

2017 ◽

Vol 51 (05) ◽

Author(s):

A. Nishant Bhanu ◽

M. N. Singh ◽

Rajendra Tharu ◽

S. K. Saroj

Keyword(s):

Seed Yield ◽

Quantitative Traits ◽

Path Coefficient ◽

Path Coefficient Analysis ◽

Rabi Season ◽

Days To Maturity ◽

Correlation And Path Analysis ◽

Selection Parameters ◽

100 Seed Weight ◽

Number Of Branches

Fifty three germplasm of chickpea were undertaken to determine relationships among yield and some yield components using direct (variability, heritability, and genetic advance) and indirect selection parameters (correlation and path coefficient analysis). The present investigation was carried out at the Agriculture Research Farm of Institute of Agricultural Sciences, Banaras Hindu University, Varanasi during the rabi season of 2011-12. Significant genetic variations were observed among the genotypes for days to flower, days to maturity, plant height, number of branches plant-1, number of pods plant-1, 100-seed weight and seed yield plant-1. Correlation studies revealed that seed yield was positively and significantly correlated with number of primary branches, number of secondary branches and number of pods plant-1. The path coefficient analysis based on seed yield, as a dependent variable, showed that pods plant-1 had the greatest direct effect on seed yield (0.81) followed by number of secondary branches. Both correlation and path analysis indicated that pods plant-1 and number of secondary branches were the major direct contributors to seed yield.

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Genetic variability, correlation and path coefficients of yield and its components analysis in pumpkin (Cucurbita moschata Duch Ex Poir)

International Journal of Agricultural Research Innovation and Technology ◽

10.3329/ijarit.v7i1.33315 ◽

2017 ◽

Vol 7 (1) ◽

pp. 8-13 ◽

Cited By ~ 1

Author(s):

GM Mohsin ◽

MS Islam ◽

MS Rahman ◽

L Ali ◽

M Hasanuzzaman

Keyword(s):

Genetic Variability ◽

Coefficient Of Variation ◽

Fruit Weight ◽

Yield Component ◽

Path Coefficient ◽

Fruit Length ◽

Component Traits ◽

Yield Component Traits ◽

Almost All ◽

Genotypic Coefficient Of Variation

Genetic variability, correlation and path coefficient were studied for yield and yield component traits in twenty one diverse genotypes of pumpkin. Highest genotypic coefficient of variation was recorded for fruit length (cm), single fruit weight (kg), Brix (%) and yield per plant (kg). Heritability estimates in broad sense were higher for almost all the characters. The characters namely, fruit length, single fruit weight, yield per plant and brix% had high genotypic coefficient of variation coupled with heritability gave high genetic advance expressed as percentage of mean ranged from 76.84 to 96.06 which indicated that these characters were less influenced by environment confirming additive gene action, and therefore, selection of these characters would be more effective for yield improvement of pumpkins. Total six traits likely fruit length, fruit diameter, flesh thickness, single fruit weight and number of fruits per plant were positively and significantly associated with yield per plant. Path coefficient analysis also revealed maximum contribution of single fruit weight (0.869) to yield and this was followed by the contribution of number of fruit per plant (0.527) at genotypic level.Int. J. Agril. Res. Innov. & Tech. 7 (1): 8-13, June, 2017

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

Journal of Spices and Aromatic Crops ◽

10.25081/josac.2020.v29.i2.6860 ◽

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.

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