Path analysis for quality traits in field pea (Pisum sativum L.)

2017 ◽  
Vol 37 (04) ◽  
Author(s):  
HemantLovely Toppo ◽  
R. N. Sharma ◽  
A. Thakur
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Additive Genetic Variance ◽  
Positive Association ◽  
Field Pea ◽  
Direct Selection ◽  
Path Coefficient ◽  
Significant Positive Association ◽  
Qualitative Characters ◽  
Positive Direct

The present experiment was conducted during November 2014–March 2015. The experiment was done to estimate the variability and character association of different qualitative characters on seed yield of 29 field pea genotypes in a randomised complete block design (RCBD). The analysis of variance revealed that the sufficient variability was present in the material studied for almost all the qualitative characters. Among the different quality parameters the moderate genotypic coefficient of variation was for swelling index. Among the quality parameter, high heritability coupled with high genetic advance was not recorded for any quality character indicating non-significant additive genetic variance in genetic control of these traits. The correlation analysis revealed that seed yield plant-1 exhibited a significant positive association with protein at genotypic level. Path coefficient analysis for seed yield and its components showed that protein content had the negligible positive direct effect on seed yield. Direct selection for quality characters would likely not be effective in increasing or decreasing seed yield in field pea.

scholarly journals Character Association and Path Analysis for Yield Components and Biochemical Traits in Maize (Zea mays L.) Genotypes

2021 ◽  
Author(s):  
Prabhat Kumar Singh ◽  
B. Sushma ◽  
Nidhi Kumari
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Standard Procedure ◽  
Grain Weight ◽  
Direct Selection ◽  
Path Coefficient ◽  
Biochemical Traits ◽  
Internodal Length ◽  
Selection For ◽  
Positive Direct

Background: Grain yield is a complex character so direct selection for yield as such can be misleading. Keeping in view, the present study aimed to assess the path coefficient analysis with correlation coefficient technique to establish the direct and indirect relationship between the yield and its component. Methods: The present investigation carried out during kharif 2019 at Centurion University of Technology and Management, Odisha in randomized complete block design with 3 replication involving 20 maize genotypes. Data were collected from five randomly selected plnts on 20 agromorphic and biochemical traits. All the biochemical analysis estimated from leaf sample following standard procedure. Result: The traits shelled grain weight, cob diameter, number of grains per cob and anthesis silking interval were found to possess significant association in disirable direction with five ear weight at both genotypic and phenotypic levels. None of the biochemical trairts establishing significant positive association with yield. Highest positive direct effect on 5 ear weight was noticed by shelled grain weight (1.108) followed by phenols (0.115), internodal length (0.106) and days to 50 percent anthesis (0.102) indicating that the selection for these characters were likely to bring about an overall improvement in grain yield directly.

scholarly journals Study of Trait Alliance with Grainyield, Its Attributes of Different Land Races of Maize (Zea MaysL.)

2017 ◽  
Vol 5 (2) ◽  
pp. 184-190
Author(s):  
R. A. Gami ◽  
J.M Patatel ◽  
G. K. Chaudhary ◽  
S. M. Chaudhary
Keyword(s):  
Grain Yield ◽  
Positive Association ◽  
Path Coefficient ◽  
Direct Effects ◽  
Path Coefficient Analysis ◽  
Significant Positive Association ◽  
Land Races ◽  
Component Traits ◽  
Ear Height ◽  
Positive Direct

The research was carried out to study the correlation and path coefficient analysis of 51 different land races of maize for yield and component traits. Analysis of correlation between different characters suggested that the value of genotypic correlation were somewhat higher as compared to their corresponding phenotypic correlations signified the inherent relationship among the characters. Grain yield kg per ha. showed significant positive association with days to 50% pollenshed, days to 50% silking, days to 75% dry husk, number of cobs per plot, cob weight per plot and shalling perportion at both genotypic and phenotypic levels. Path co-efficient analysis revealed that the maximum positive direct effects of cob weight per plot, shelling perportion, ear height and number of cobs per plot towards grain yield. This finding suggested that more emphasis should be given to number of cobs per plot, cob weight per plot and shalling perportion in selection programmes aiming to improve grain yield in maize.

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 Correlation and Path Coefficient Analysis of Tomato Germplasms

2015 ◽  
Vol 3 (2) ◽  
pp. 223-226
Author(s):  
Md. Salehur Rahman ◽  
Shahanaz Parveen ◽  
Md.Harun -Ur- Rashid ◽  
Runa Akter ◽  
Abu Yousuf Hossin ◽  
...  
Keyword(s):  
Correlation Coefficient ◽  
Phenotypic Expression ◽  
Positive Association ◽  
Suppressive Effect ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Genotypic Correlation ◽  
Path Coefficient Analysis ◽  
Significant Positive Association ◽  
Positive Direct

Forty eight genotypes of tomato were evaluated for yield contributing characters to observe their associations and direct and indirect effect on yield. Character association analysis among yield and yield contributing characters revealed that in most of cases the genotypic correlation coefficient was higher than the respective phenotypic correlation coefficients. This indicated that the suppressive effect of the environment modified the phenotypic expression of these characters by reducing phenotypic correlation values. Also, narrow difference between phenotypic and genotypic correlation coefficient was noticed for almost all the pairs of characters studied showing that masking or modifying effects of the environment was little indicating the presence of an inherent association among these characters. Fruit/cluster showed non-significant positive association with yield/plant at genotypic and phenotypic level but individual weight of fruit had significant negative association at phenotypic level with yield/plant. Path coefficient analysis revealed that no. of fruit/cluster had the highest positive direct effects on fruit yield/plant suggesting their importance while imposing selection for correlation of yield in tomato.Int J Appl Sci Biotechnol, Vol 3(2): 223-226 DOI: http://dx.doi.org/10.3126/ijasbt.v3i2.12421 

scholarly journals Genetic Variability and Path Analysis of Groundnut (Arachis hypogaea L.)

1970 ◽  
Vol 9 (1-2) ◽  
pp. 29-36 ◽  
Author(s):  
MA Zaman ◽  
M Tuhina-Khatun ◽  
MZ Ullah ◽  
M Moniruzzamn ◽  
KH Alam
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Agricultural Research ◽  
Block Design ◽  
Positive Association ◽  
Research Station ◽  
Genetic Advance ◽  
Days To Maturity ◽  
Positive Direct

An experiment was conducted at the Research farm of Regional Agricultural Research Station, BARI, Hathazari, Chittagong during Rabi season (December to April), 2009-2010 for estimation of genetic variability, genetic parameters and correlation coefficient among different yield components in a randomized block design with three replications. Thirty four groundnut genotypes were tested in the experiment. Highly significant variations were observed among the genotypes for all the characters studied. The highest genetic coefficient of variation was observed for karnel yield per hectare, followed by karnel yield per plant, branches per plant, immature and mature nuts per plant, 100 kernal weight and plant height. The highest heritability was observed in karnel yield per pant (95.08%), followed by karnel yield per hectare (94.38%), 100 kernal weight (87.01%), immature and mature nuts per plant (82.24%, 80.32%), branches per plant (79.54%) and 100 nut weight (78.98%), while high values of genetic advance were obtained in all the characters except days to maturity and days to 50% flowering. The seed yield per plant showed the highly significant and positive association with nut size, number of nuts per plant, karnel size and days to 50% flowering. The number of mature nuts per plant had high positive direct effect on seed yield per hectare followed by nut size, shelling percentage, days to 50% flowering and days to maturity. Therefore, branches per plant, plant height, nuts per plant, nut size, karnel size, days to 50% flowering, shelling percentage and days to maturity were identified to be the important characters which could be used in selection for yield. Keywords: Genetic variability; heritability; genetic advance; groundnut DOI: http://dx.doi.org/10.3329/agric.v9i1-2.9476 The Agriculturists 2011; 9(1&2): 29-36

scholarly journals Genetic Diversity, Correlations and Path Coefficient Analysis among the F5 Populations of Brassica Species

2021 ◽  
pp. 20-31
Author(s):  
Sujon Kumar ◽  
Barkat Ali ◽  
A. B. M. Khaldun ◽  
Shams Shaila Islam ◽  
M. Shalim Uddin ◽  
...  
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Brassica Species ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Estimate Heritability ◽  
Positive Direct ◽  
Pod Length

The present study was carried out to estimate heritability, genetic variability, correlation and genetic advance among F5 populations of ten genotypes in Brassica species. This study was executed following randomized complete block design (RCBD) with three replications during November 2017 to February 2018 at the experimental field of College of Agricultural Sciences, International University of Business Agriculture and Technology, Dhaka, Bangladesh. Aim of the research was to evaluate and select the best segregating genotypes for the yield and yield contributing traits towards variety development programs. Analysis of variance revealed that the genotypes were significantly different for all the characters studied. The relative phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all the traits studied. The high GCV value was observed for the days to 50% flowering (FF), plant height (PH), primary branches per plant (PBP), pod per plant (PP) and seed yield per plant (SYP) that indicated a high broad-sense heritability. A significant positive correlation with seed yield per plant was found in days to 50% flowering (0.578**), the plant height, (0.787**), pod length (PL) (0.406*), seeds per plant (SP) (0.369*), pod per plant (0.697**) and hundred seeds weight (HSW) (0.500**), but significantly negative correlation found in primary branches per plant (-0.046*). The results of path coefficient analysis revealed that days to 50% flowering (0.287), plant height (0.407), pod length  (0.919), seeds per plant (0.033), pod per plant (0.035) and hundred seeds weight (0.795) had a positive direct impact on seed yield per plant and thus it was indicated that these traits could be exploited for the enhancement of yield performance of Brassica species. This study showed that based on the agronomic performance execution, genotypes G2, G5, G6 and G8 might be proposed for future hybridization programs in Bangladesh followed by variety development activities.

scholarly journals Correlation and Path Coefficient Analysis for ‘Yield Contributing’ Traits in Quality Protein Maize (Zea mays L.)

2020 ◽  
pp. 91-99
Author(s):  
Digvijay Singh ◽  
Ajay Kumar ◽  
Rajesh Kumar ◽  
Satish Kumar Singh ◽  
Nitesh Kushwaha ◽  
...  
Keyword(s):  
Grain Yield ◽  
Association Studies ◽  
Research Work ◽  
Positive Association ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Significant Positive Association ◽  
Maize Genotypes ◽  
Ear Height ◽  
Positive Direct

Character association studies will help to assess the relationship among the yield and its components for enhancing the usefulness of the selection. In view of this, the present research work was carried out to assess the correlation coefficient and path analysis among twenty five maize genotypes using eleven quantitative parameters. Correlation studies indicated that plant height (cm), ear height (cm), ear length (cm), ear girth (cm), number of kernel rows per ear, number of kernels per row showed significant positive association with grain yield (Kg/ha) as well as among themselves at phenotypic and genotypic level. Hence, selection for any one of these characters would bring in simultaneous improvement of other characters and also finally improvement in grain yield (kg/ha). Path coefficient analysis revealed that the highest positive direct effects on grain yield  was exhibited by days to 75% tasseling, ear length, days to 75% brown husk, ear height and ear girth. Therefore, present investigation could be helpful in a reliable selection of parental lines based on the above given traits as well as for the development of high yielding verities for further breeding programs.

Character associations between seed yield and its components traits in cowpea [Vigna unguiculata (L.) Walp.]

2015 ◽  
Vol 49 (6) ◽  
Author(s):  
H. K. Meena ◽  
K. Ram Krishna ◽  
Bhuri Singh
Keyword(s):  
Seed Yield ◽  
Seed Weight ◽  
Flowering Plant ◽  
Direct Selection ◽  
Path Coefficient ◽  
Days To Maturity ◽  
Correlation And Path Analysis ◽  
Positive Direct ◽  
Pod Length ◽  
100 Seed Weight

A field experiment was conducted during <italic>kharif</italic> season 2013 to estimate the correlations and path coefficients for ten quantitative characters among 72 cowpea germplasm. Seed yield per plant had positive significant correlation with days to 50% flowering, plant height, primary branches per plant, pods per plant, pod length, seeds per pod and 100-seed weight at both genotypic and phenotypic levels. Path coefficient analysis revealed that primary branches per plant and 100-seed weight had high direct positive effect on seed yield per plant at both genotypic and phenotypic levels. Pod length, days to maturity, 100 seed weight and pod wall proportion had high positive direct effects on seed yield per plant at only genotypic level. Correlation and path analysis indicated that for increasing seed yield in cowpea direct selection should be carried out for higher values of primary branches per plant, pods length, days to maturity and 100 seed weight.

scholarly journals Genetic Variability and Character Association Studies in Indian Mustard (Brassica juncea L.)

2021 ◽  
pp. 100-105
Author(s):  
Shubham Chakraborty ◽  
Anil Kumar ◽  
Chandan Kishore ◽  
Anand Kumar ◽  
Ravi Ranjan Kumar ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Indian Mustard ◽  
Yield Potential ◽  
Direct Selection ◽  
Path Coefficient ◽  
Branch Number ◽  
Coefficient Of Variability ◽  
Positive Direct

India is a nation which has got huge scope for modernization. The pace of increasing modernization in India coupled with its ever increasing human population is posing a very serious impact on environment mainly due to global warming. Abrupt rainfall conditions coupled with drought conditions prevailing during the Kharif season often hampers paddy transplantation in eastern parts of India. It results in late harvesting of paddy which in turn leads to late sowing of mustard crop in the fields during Rabi season. Hence, the need of the hour is to develop Indian mustard varieties having high yield potential as well as suitable for late sown conditions in Eastern India. An investigation was carried out to study the genetic variability, correlation and path analysis of ten quantitative traits in 33 genotypes of Indian mustard procured from diverse agro-climatic zones of the country. Analyses of variance were found to be highly significant for all the characters studied. Genotypic Coefficient of Variability as well as Phenotypic Coefficient of Variability were found high for number of primary branches, number of secondary branches, number of siliqua and seed yield per plot. High heritability coupled with higher genetic advance was found for plant height, number of siliqua per plant and seed yield per plot suggesting due importance of these traits for selection in breeding program.The phenotypic and genotypic correlation studies revealed that seed yield per plot exhibited significant positive correlation with plant height, number of primary branches per plant, number of secondary branches per plant, number of siliqua per plant, siliqua length, seeds per siliqua and 1000 seed-weight. Path coefficient analysis revealed that seed yield per plot, days to maturity, plant height, number of primary branch, number of secondary branch, number of siliqua per plant had positive direct effect on seed yield per plot suggesting that direct selection for these triats can be practiced for yield improvement in Indian mustard.

Study of correlation and path coefficient analysis in germplasm lines of Indian mustard (Brasica juncea L.)

2016 ◽  
Vol 36 (2) ◽  
Author(s):  
Rajeev Kumar ◽  
S. S. Gaurav ◽  
S. Jayasudha ◽  
Hitesh Kumar
Keyword(s):  
Seed Yield ◽  
Harvest Index ◽  
Block Design ◽  
Indian Mustard ◽  
Correlation Study ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Days To Maturity ◽  
Biological Yield ◽  
Positive Direct

An investigation was undertaken to study the correlation and path coefficient analysis of twelve quantitative traits in 30 Indian mustard (<italic>Brassica Juncea</italic> L<italic>.</italic>) germplasm lines. The experimental material was evaluated in a randomized block design with three replications. Correlation study revealed that harvest index and total biological yield per plant exerted high significant positive correlation coefficients with seed yield at both genotypic and phenotypic level. Seed yield is negatively correlated with days to 50 % flowering and days to maturity which promotes early flowering and early maturing genotypes. Path analysis revealed that harvest index showed maximum positive direct effect, followed by total biological yield per plant, days to maturity, siliquae length at the time of maturity and seed yield per plant at both genotypic and phenotypic levels. Based on result it has been concluded that two traits namely harvest index and total biological yield per plant exerted high correlation as well as direct influence on seed yield may be considered for selection and to improve the seed yield of the mustard genotypes.

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