Highest Positive Direct Effect Research Articles

Variability Analysis in Determinate F4 Progenies for Yield and it’s Attributes in Indian Bean [Lablab purpureus (L.) Sweet

Background: Indian bean [Lablab purpureus (L.) Sweet] is an important vegetable as well as split pulse crop in India. An attempt was made here to study the genetic variability, correlation and direct and indirect effects through path analysis for yield and yield attributing traits. Methods: Total 52 genotypes were evaluated in randomized block design (RBD) with three replications during early-rabi season, 2018-2019. Observations were recorded on 11 quantitative traits. Result: Significant variation existed in all the characters. Higher values of GCV and PCV were observed for pods per raceme, pods per plant and seed yield per plant. High heritability coupled with high genetic advance was observed for racemes per plant, pods per raceme, pods per plant, pod width and seed yield per plant. Seed yield per plant was highly significant and positively correlated at genotypic level with days to maturity, plant height, racemes per plant, pods per raceme, pods per plant and seeds per pod. Path analysis based on genotypic correlation revealed that high positive direct effects on seed yield per plant was registered by pod per raceme followed by racemes per plant, pod length, days to 50% flowering, plant height, pod weight and days to maturity.

Character association and path analysis for yield improvement in fennel (Foeniculum vulgare Mill.)

A total of 18 genotypes of the fennel (Foeniculum vulgare Mill.) were evaluated for estimation of correlation and path analysis for yield improvement during Rabi season of 2016-17 at Mandor, Jodhpur, Rajasthan. Results indicated that the variation among genotypes was highest for biological yield (54.3-88.3 q ha-1), followed by seed yield (15.8-25.2 q ha-1). The analysis of genotypic (GC) and phenotypic correlations (PC) indicated that the seed yield per ha was significantly and positively correlated with seed yield per plant (GC r=0.978**; PC r=0.842**), number of seeds per umbel (GC r= 0.752**, PC r=0.505*) and number of umbels per plant (GC r=0.543*). Path coefficient analysis suggested that the highest positive direct effect on seed yield per ha was exerted by biological yield per ha (0.953) followed by the number of umbels per plant (0.484), harvest index (0.463), number of seeds per umbel (0.387), 1000-seed weight (0.289), oil content (0.150), days to maturity (0.102) and the number of umbellets per umbel (0.070). Therefore, it is inferred that for initiating breeding programmes of fennel, the primary emphasis should be given for selecting characters having a positive and higher magnitude of correlation and have direct effects on characters associated with higher yield.

Studies on Variability, Correlation and Path Analysis for Seedling Vigour Traits in Rice (Oryza sativa L.)

The research work was undertaken in Kharif, 2019 at Department of Seed Science and Technology, College of Agriculture, PJTS Agriculture University, to identify lines with good vigour and high yield. Analysis of variance revealed existence of significant differences among the genotypes. Dry weight of seedling followed by seedling vigour index-II had showed high PCV and GCV. Germination (%) -first count, length of shoot, length of root, dry weight of seedling, seedling vigour index-I, seedling vigour index-II and field emergence exhibited high heritability along with high genetic advance as per cent of mean. Length of seedling, seedling vigour index-II and germination (%) -first count exhibited the high positive direct effect on per plant grain yield. Among all the traits Seedling vigour index-II and dry weight of seedling has shown high variability, correlation and cause effect analysis. Therefore, these traits have to be given importance during selection process for identification of high vigour rice lines.

Character Association of Yield and Yield Components of Various Varieties of Rice (Oryza sativa L.)

Yield and yield attributing parameters are the most widely targeted traits in rice improvement programmes. The relationship between yield and yield attributing traits are important for direct and indirect selection of traits which contribute to yield. Information on the extent of association between yield and yield components is important in the simultaneous improvement of correlated traits. This study was carried out to determine the direct and indirect contributions of yield components to yield of rice and the level of association. Path Coefficient Analysis was used to evaluate the character association of yield and yield components of twenty-five rice varieties at the Rivers State University Teaching and Research Farm, Port Harcourt, during the 2019 planting season under rainfed condition and complimented by irrigation in two different planting dates. The experiments were laid out in a randomized complete block design. Data were collected on yield and yield components. Leaf area, plant height, panicle length, panicle number, panicle weight, 100-grain weight and spikelet fertility correlated positively and significantly with grain yield per stand. The path coefficient analysis indicated that panicle number (0.265) and spikelet fertility (0.219) had the highest positive direct effect on grain yield per stand. Conversely, number of grains per panicle (-0.128), days to 50% flowering (-0.114), tiller number (-0.095) and panicle length (-0.056) exerted negative direct effect on grain yield per stand with 0.674 residual effects. Therefore, direct selection for leaf area, plant height, panicle number, panicle weight, 100 grain weight, and spikelet fertility will effectively improve yield in rice. Key words : Grain yield, Character Association, Oryza sativa, variation, yield components DOI: 10.7176/JNSR/13-8-02 Publication date: April 30 th 2022

Assessment of genetic variability, correlation and path analysis in sesame (Sesamum indicum L.)

A total of 33 sesame genotypes including three checks were grown in Randomized Block Design in three replications for evaluation of yield and yield attributing traits. Data was recorded for different yield attributing traits from all the genotypes viz., days to 50 % flowering, number of productive branches, plant height, height of 1st capsule bearing node, number of capsules per plant, number of seeds per capsule, capsule length, inter-node length, days to maturity, 1000-grain weight, per cent of oil and yield. Analysis of variance revealed significant differences among the genotypes for all the characters. The magnitude of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) was larger for seed yield, number of productive branch and inter-node length. Genetic advance as per cent of mean for seed yield, numbers of productive branches, height of 1st node from ground and internode length were higher in sesame genotypes. Correlation exhibited significant and high positive for number of productive branches, number of capsules per plant, number of seeds per capsule and days to maturity with seed yield. Path analysis indicated that the traits such as number of productive branches, number of capsules per plant, days to maturity, number of seeds per capsule had high positive direct effect on seed yield. These traits are to be given due importance in the selection process of sesame breeding programme. Keywords: PCV, GCV, Sesame, Genetic Advance, Correlation, Path analysis

Studies on interrelationship and path co-efficient analysis on the basis of fruit yield in eggplant (Solanum melongena L.)

The genotypic and phenotypic correlation and path co-efficient in nineteen genetically diverse genotypes of eggplant were studied at Vegetable Research Station (C S Azad University and Technology, Kanpur) during Kharif season. Studies on relationship at genotypic level revealed positive and strong correlation of yield per plant, number of branches per plant, width of fruit, plant spread and fruit weight in parents, F1s and F2s, whereas significant and positive association of yield per plant with number of fruits per plant were observed in parents, F1s and F2s at phenotypic level. Path coefficient analysis indicate that number of fruits per plant had highest direct/desirable effect on yield per plant followed by fruit weight in both F1 and F2 at genotypic and phenotypic level and days to flowering in F1 and F2 only at genotypic level. The highest positive direct effect on yield per plant was observed by most of the yield contributing characters, i. e., days to marketable maturity and number of branches per plant via number of fruits per plant, length of fruit and width of fruit, and plant spread via number of fruits per plant in F1 and F2 generations at both genotypic and phenotypic levels.

Path-coefficient and correlation analysis in Bambara groundnut (Vigna subterranea [L.] Verdc.) accessions over environments

In a breeding program, studies of genotypic and phenotypic relationships among agricultural crop traits are useful to design, evaluate, and develop selection criteria for desirable traits. Using path coefficient analysis, the present study was executed to estimate the phenotypic, genotypic, and environmental correlation coefficients between yield and yield-related traits and to determine the direct and indirect effects of yield-related traits on yield per plant. A total of 30 genotypes of Vigna subterranea were studied under tropical conditions at two sites over two planting seasons (considered as four environments). The experiment at each site used a randomized complete block design with three replicates. Data were collected on vegetative and yield component attributes. Based on analysis of variance, pooled results showed that there were positive and highly significant differences (p ≤ 0.01) among the 30 genotypes for all attributes studied. Highly significant and positive strong correlation at phenotypic level was observed for dry seed weight (0.856), hundred seed weight (0.754), fresh pod weight (0.789), and total pod weight (0.626) with yield in kg per hectare, while moderate positive correlations were observed for harvest cut (0.360) and days to maturity (0.356). However, a perfect positive correlation was observed for the dry weight of pods with seed yield. In contrast, days to 50% flowering (− 0.350) showed a negative significant relationship with yield per hectare. The dried pod weight attribute (1.00) had a high positive direct effect on yield. Fresh pod weight had the greatest indirect effect on yield per hectare, followed by the number of total pods by dry pod weight. As a result, dry pod weight, hundred seed weight, number of total pods, and fresh pod weight could be used as selection criteria to improve the seed yield of Bambara groundnut (Vigna subterranea).

Multivariate analysis and character association for agro-morphological traits in elite rice germplasm

The investigation was carried out in fifty elite rice genotypes to understand the association among theyield and yield related components, their direct and indirect effects on the grain yield using correlationand path analysis and the genetic divergence was assessed using multivariate analysis. Significantdifferences were observed among all the genotypes for the traits studied. High amount of heritabilityand genetic advance were observed for plant height, number of tillers per plant, number of productivetillers per plant, panicle weight and number of filled grains per panicle. Character association at bothgenotypic and phenotypic level revealed significant positive association of grain yield per plant withtest weight. Path coefficient analysis revealed that number of productive tillers had highest directpositive effect on grain yield per plant followed by plant height and panicle length. Principalcomponent analysis showed that a cumulative variance of 45% from PC1 attributed by number oftillers per plant, number of productive tillers per plant and days to fifty percent flowering would bebeneficial in contributing to the total morphological diversity. The cluster analysis based on euclideandistance and neighbor joining method grouped the genotypes into six clusters. Cluster II constitutedmaximum number of genotypes (n=15) followed by cluster VI with ten genotypes. Thus the traitswhich contribute to maximum divergence can be focused in selection and divergent genotypes presentin the different clusters can be utilized for further improvement in future breeding programmes.

Relationship and Association Analysis in the Cultivated and Wild Species of Sesame

The experimental study was undertaken in the Wild species garden and Oilseeds farm at Tamil Nadu Agricultural University, Coimbatore, during Rabi’ 2021 to know the association between yield and its component traits in cultivated and wild species of Sesame. Nine varieties of Sesamum indicum and three wild species, namely Sesamum alatum, Sesamum malabaricum, and Sesamum radiatum were assessed for eight quantitative traits namely plant height, the number of branches per plant, days to first flowering, the number of capsules per plant, the number of seeds per capsule, capsule length, thousand seed weight and yield per plant. The correspondence among the cultivated and wild species of Sesame was explicated over the heatmap in which cultivated varieties of Sesamum indicum were categorized under three clusters and wild species into two clusters. Correlation analysis revealed that seed yield per plant emphasizes a positive and high significant correlation with a number of capsules per plant and thousand seed weight. Path analysis delineated that number of capsules per plant had a high positive direct effect on yield followed by a less positive direct effect on thousand seed weight and a number of branches, while thousand seed weight has high positive indirect effect on seed yield per plant via number of capsules per plant. It can be concluded that the traits, namely number of branches, number of capsules and thousand seed weight recorded both significant positive correlation and high direct effect on single plant yield. Therefore, the selection process prioritizing these traits with higher values would be rewarding in Sesame crop improvement breeding program.

Genetic Variability and Association Analysis for Yield and Its Component Traits in Sunflower (Helianthus annuus L.)

Twenty-nine sunflower genotypes were evaluated for genetic variability and association of various morphological traits with seed yield. The genotypes were evaluated in Randomized Complete Block Design with three replications. Eight biometrical traits viz., days to 50% flowering, days to maturity, plant height (cm), head diameter (cm), volume weight (g/100 mL), 100-seed weight (g), oil content (%) and seed yield per plant (g) were recorded. The phenotypic and genotypic variation washigh for seed yield per plant and 100-seed weight, indicating that selection will be effective for improving these characters. Traits with high heritability and high genetic advance were highly amenable to selection which was observed for days to 50% flowering and plant height. The trait days to maturity weregoverned by non additive gene action as it showed low genetic advance. Correlation coefficients measure the degree of relationship between two or more variables. The key trait seed yield per plant had positive significant correlation with plant height (0.61), head diameter (0.83) and 100-seed weight (0.73). Path analysis revealed that 100-seed weight (0.62), days to maturity (0.34) and head diameter (0.30) had high positive direct effect on seed yield. Head diameter had the highest positive indirect effect on seed yield per plant through 100-seed weight (0.45)

Association Studies In Sorghum For Stay Green And Yield Associated Traits

The present investigation was carried out with five segregating populations in sorghum to assess the association between grain yield and its correlated traits. In correlation coefficients, three crosses viz., Cross 1, Cross 3 and Cross 5 showed significant positive association of grain yield with flag leaf length, flag leaf width, harvest index, plant height, number of leaves per plant, leaf chlorophyll index, stem girth, test weight (Cross 5), panicle weight, panicle length (except Cross 1) and biological yield and inter association of such traits were almost positive. Hence these three crosses could be exploited simultaneously for grain yield and other correlated traits by selection. From path coefficient analysis, it is concluded that the biological yield and harvest index had high positive direct effect on single plant yield in all crosses evaluated in the study. They also exhibited high indirect contribution on yield through yield components traits that could be used as yield determinants for further improvement in the population.

Selection criteria for water stress in wheat (Triticum aestivum L.)

Fifty five wheat genotypes (ten parents, 45 F1s) were evaluated both under normal (NC) and water stress (WS) environments for yield and yield contributing traits, grain yield/plant and biological yield in RBD with 3 replications. Drought susceptibility index (DSI) and index of drought resistance (IDR) at 2-leaf stage were worked out. Sufficient genetic variability was in existence for all the characters studied. The combined analysis of variance over environments indicated the presence of variability among the genotypes, differences in environments and the differential response of genotypes over environments as indicated from their significant mean square values, except for harvest index and spike/plant. Grain yield and biological yield showed maximum sensitivity as affected by (NC) and grain weight showed the least. The positive correlation of grain yield with biological yield and harvest index in (NC), negative correlation of grain yield with (DSI) under (NC) and significant positive correlation of grains/spike and grain weight with grain weight/spike under both the environments revealed that selection must be exercised for high biomass, grain weight/spike and harvest index for yield improvement under water stress (WS) conditions. Path coefficient analysis revealed that biological yield and harvest index exhibited high positive direct effects on grain yield under both the environments. Spike/plant and grain weight/spike had mainly indirect effects on grain yield via biological yield under normal condition (NC).

Genetic variability and correlation for nut and yield characters in arecanut (Areca catechu L.) germplasm

A study on genetic variability and correlation for nut and yield characters was carried out among 25 arecanut accessions of diverse geographic origins. High GCV and PCV values were observed for the number of female flowers/inflorescence/palm/year, the number of nut/inflorescence, the number of nuts/palm/year, dry weight of husk, fresh fruit weight, dry weight of nut, dry weight of kernel and fresh nut yield. High estimates of heritability coupled with high genetic advance as per cent mean (GAM) were observed for stem girth above the fixed mark, the number of female flowers/inflorescence/palm/year, fruit length, fruit breadth, fresh fruit weight, kernel length, kernel breadth, dry weight of nuts, dry weight of kernel, fresh nut yield, dry kernel yield and kernel recovery indicating amenability for phenotypic selection of these characters in early generations. The observations revealed that the palm height, kernel breadth and dry weight of kernel can be considered for improvement of arecanut as these characters had high positive direct effects on the dry weight of kernel. Key words: Genetic variability, Arecanut, Heritability, Genetic advance, Germplasm.

Assessment of Maize (Zea mays L.) Hybrids across Spacings for Variability, Trait Association and Path Analysis in North Eastern India

The present investigation was conducted with nine genotypes in randomized block design (RBD) during Rabi, 2019-20 across the spacings viz., 60 cm x 20 cm and 50 cm x 20 cm at the ICR farm, AAU, Jorhat. In pooled analysis of variance, the genotype mean square across spacing was significant to highly significant for all the traits except ears per plant. The mean square due to genotype x spacing was significant to highly significant for the traits days to 50% silk, ears per plant, leaf area index at 60 DAS (days after sowing), leaf area index at 90 DAS, harvest index and grain moisture. Each of the hybrids responded similarly from spacing to spacing for the traits viz., days to 50% pollen shed, days to 100% dry husk, anthesis-silking interval, plant height, ear length, ear diameter, kernel rows per ear, kernels per row, 100 kernel weight and grain yield per hectare. One or more hybrids responded differently in the two spacings for the traits viz., days to 50% silk, ear height, ears per plant, chlorophyll content, leaf area index 60 DAS, leaf area index 90 DAS, harvest index, grain moisture and grain yield per plant. High heritability coupled with high genetic advance was observed for plant height, ear height, kernels per row, chlorophyll content, leaf area index at 60 DAS, leaf area index at 90 DAS, harvest index, grain yield per plant and grain yield per hectare across spacing and it indicated the preponderant role of additive gene action for these traits. Significant genetic association of both grain yield per plant and grain yield per hectare with days to 50% pollen shed, days to 50% silk, day to 100% dry husk, kernels per row, leaf area index at 60 DAS and leaf area index at 90 DAS indicated that grain yield could be improved indirectly by selecting superior plants for easily heritable traits like days to 50% pollen shed, days to 50% silk and days to 100% dry husk across spacing. Genotypic path analysis revealed that the characters viz., days to 100% dry husk, days to 50% pollen shed, ear length and kernel rows per ear had the highest positive direct effects on grain yield per plant while days to 50% silk and kernels per row had the highest negative direct effect on grain yield per plant across spacing.

Contribution of the Characteristics of Farmers to use of Coping Strategies towards Household Food Security

A study was carried out at each of three flood affected reverine villages of three upazilas (small administrative unit) under Jamalpur district in Bangladesh during September, 2011 to May, 2012 to find out the contribution of the characteristics of the farmers to the use of coping strategies towards household food security practiced by the farmers during flood. Data were collected from randomly selected 336 respondents both the qualitative and quantitative techniques and analyzed with the help of SPSS. Out of 18 characteristics, 11 had positive, 2 had negative and 5 had no significant relation with coping strategies towards household food security during flood period. Stepwise regression analysis revealed that six variables namely participation in income generating activities (IGAs) (20.1 percent), knowledge on flood coping mechanisms (8.5 percent), cosmopoliteness (6.5 percent), utilization percentage of received credit (2.0 percent), water and sanitation condition (1.6 percent) and year round household food situation (0.8 percent) were the major contributing variables which combindly explained 39.5 percent of total variations. Path analysis revealed that knowledge on flood coping mechanisms had the highest positive direct effects (0.285) and participation in IGAs had highest positive indirect effects (0.169) on coping strategy practices. Considering the relative contribution on the coping strategy practices towards household food security during flood period, based on their direct effects, the six variables could be arranged as follows knowledge on flood coping mechanism > participation in income generating activities > cosmopoliteness > water and sanitation condition > year round household food situation > utilization of received credit.

Development of path indices for enhancing sugarcane selection program

The present investigation was carried out to develop path index using the relationship of contributing traits and cane yield. Development of path indices using linear regression equation followed by path analysis tells about the relationship of the dependent and independent parameters and better performing genotype can be selected. The study was conducted at sugar crops research institute Mardan during 2012-13 and 2013-14 on two plant crops. The experiments were arranged in RCB Design with three replications using 14 sugarcane genotypes with two check cultivars (Mardan-93 and CP/77-400). Path analysis showed that number of millablecane (0.39), internodes length (0.32), number of nodes (0.14), plant height (0.13) and number of tillers (0.12) had the direct positive effect on cane yield on phenotypic level. In case of genotypic level number of millablecane (0.63), plant height (0.42) and number of tillers (0.21) had the highest direct positive effect on cane yield. This showed that these characters are the most essential constituents of cane yield. Genotype MS-91-CP-523(240.39) followed by S-92-US-72 (205.21) have the highest path index values and performed better than the rest of the genotype. The parameters having direct effect on cane yield must be given more importance in the breeding and selection strategies. Research should be focused on the selection of genotypes which has good performance both under plant and ratoon crops conditions. The genotypes with good performance may be tested further. Keywords: Direct and indirect effect; Path coefficients; Plant crop; Selection criteria http://dx.doi.org/10.19045/bspab.2021.100113

Validation of Maize (Zea mays L.) Hybrids for the Study on Variability, Trait Association, and Path Analysis

The present investigation was conducted with nine genotypes in randomized block design during Rabi, 2019-20 at the instructional-cum-research farm, Assam Agricultural University, Jorhat. All the characters exhibited significant genotypic mean squares in analysis of variance except anthesis silking interval, kernel rows per ear and 100 kernel weights. High heritability coupled with high genetic advance was observed for the traits plant height, ear height, ears per plant, ear length, kernels per row, chlorophyll content, leaf area index 60 days after sowing (LAI 60 DAS), LAI 90 DAS, harvest index, grain yield per plant and grain yield per hectare. Significant genetic association of grain yield per plant and grain yield per hectare with days to 50% pollen shed, days to 50% silk, days to 100% dry husk, ear height, kernels per row, LAI 60DAS and LAI 90 DAS. Genotypic path analysis revealed that the characters, days to 50% silk, days to 100% dry husk, plant height, ears per plant, ear diameter and harvest index had the highest positive direct effects on grain yield per hectare while days to 50% pollen shed and ear height had the highest negative direct effect on grain yield per hectare. The hybrids namely, PAC 751, CP 333 and PAC 751 ELITE, were found to be the three best hybrids to possess a high estimate of desirable traits such as days to 50% pollen shed, days to 50% silk, days to 100% dry husk, plant height, ear height, ear diameter, leaf area index at 60 days after sowing, lea area index at 90 days after sowing, grain yield per plant and grain yield per hectare.

Correlation and path coefficient analyses of grain yield and its related components for some common winter wheat genotypes

The aim of the study was to determine the interrelationship and the direct and indirect effects of some yield components among themselves and with the grain yield in the 49 common winter wheat varieties originating from different countries. The experiment was conducted in the experimental field of IPGR-Sadovo, Bulgaria during 2017-2019 growing seasons in the randomized block design in three replications and 10 m2 plot size. Data were recorded for a number of days to heading, plant height, spike length, number of spikelets per spike, number of grains per spike, grain weight per spike, thousand-kernels weight and grain yield per hectar. Grain yield per ha correlated positively and significantly with plant height, spike length, grain weight per spike and thousand grain weight. Path coefficient analysis revealed that the grain weight per spike, spike length and plant height had the highest direct positive effect on the grain yield per hectar. The results of study could be useful as selection criteria to increase the grain yield in common winter bread wheat.

Estimation of variability, correlation and path coefficient in mungbean [Vigna radiata (L.) Wilczek] genotypes for seed yield and its attributing characters

The research was conducted at S.D.A.U. during kharif-2019 to study variability, heritability, genetic advance, correlation and path coefficient in a set of thirty genotypes of mungbean [Vigna radiata (L.) Wilczek]. Randomized block design was used with four replications. Ten traits showed significance differences in analysis of variance. Majority traits showed higher genotypic variance than their relevant environmental variance. PCV values were closer to GCV for most of the characters. Seed yield per plant and number of branches per plant had highest GCV. Number of branches per plant, seed yield per plant and100-seed weight expressed high genetic advance and high heritability. Seed yield per plant gave highly significant and positive correlations with number of pods per plant, pod length, 100-seed weight, while highly significant and negative with days to flowering. Highest positive direct effect on seed yield was noticed by 100-seed weight followed by number of pods per plant and days to flowering. Negative direct effect on seed yield was found with plant height followed by protein content. In conclusion, 100-seed weight, number of pods per plant, number of seeds per pod, pod length and number of branches per plant were found key contributors for seed yield.

​Estimation of Yield and Yield-related Traits among Seedling Colnes of Mango [Mangifera indica (L.) Cv. Langra] using Correlation and Path Coefficient

Background: Mango is one of the most important fruits in the world. The superior position of mango is due to its very wide and variety utilization and because of that, the main goal of all mango breeding programs is to obtain new inbred and hybrids that will outperform the existing hybrids concerning many traits for efficient selection of fruit yield, like the most important economic traits, regarding its on the great influence the environmental factors, has a complex mode of inheritance and low heritable is necessary to know the relation between fruit yield and other traits which are influencing on fruit yield. The current study aimed to verify the variability and correlation between the traits in fruit yield, to practice indirect selection. Methods: In this field investigation during 2018-19, Forty diverse clones (vegetative propagate) of mango cv. Langra were selected on Fruit Research Station (Farm), Imalia, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur (M.P.) to determine the genotypic correlation along with their direct and indirect effects through path coefficient analysis in mango as to estimate the contribution of most important characters towards yield. Result: Yield was positively and significantly correlated with panicle length (0.38**), length of leaves (0.22*). The residual effect of path analysis was -0.06 revealed higher genetic variability and also proved a lower per cent of environmental influence on the selected characters of mango clones of Langra. Higher positive direct effects on yield were exhibited by the length of leaves, the width of leaves, flower shoot length, number of panicles, number of flowers, and fruit drop %. In combination with correlation coefficient and path analysis, it was found that the length of leaves gave a significant positive correlation coefficient with yield and also produce a high positive direct effect.