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.

scholarly journals Genetic Variability, Correlation and Path Coefficient Analysis in Advanced Generation of Brassica napus L.

2019 ◽  
pp. 1-12
Author(s):  
Md. Nur-E-Nabi ◽  
Md. Ehsanul Haq ◽  
Montasir Ahmed ◽  
Md. Monir Hossain ◽  
Md. Shefat-al-Maruf ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Yield Potential ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Brassica Napus L ◽  
Positive Direct

The present study was conducted involving 62 F3 genotypes of Brassica napus L. at the experimental farm of Sher-e-Bangla Agricultural University, Dhaka, Bangladesh to ponder the genetic variability, phenotypic, genotypic and environmental coefficient of variation, heritability and genetic advance, correlation, path coefficient and genetic diversity analysis in a randomized complete block design (RCBD) with sixty-two genotypes (treatments) with three replications during November 2014 to February 2015. The investigations aimed to select the best segregating genotypes for the yield improvement of Brussica napus (rapeseed). Analysis of variance indicated that the genotypes were found significantly different for all the characters considered. The relative phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all the traits investigated. The high GCV value was observed for the number of siliqua per plant (NSP), plant height (PH), silique length (SL), number of seed per silique (NSS) and seed yield per plant (SYP) indicated high broad sense heritability. The significant positive correlation with seed yield per plant (SYP) was found in plant height (PH) (0.368**), the number of primary branches per plant (NPB) (0.332**), number of secondary branches per plant (NSB) (0.382**), number of silique per plant (NSP) (0.549**), and siliqua length (SL) (0.037**). The results of path coefficient analysis uncovered that plant height (PH) (0.582), days to 50% flowering (50F) (0.390), days to maturity (DM) (0.575), number of primary branches per plant (NPB) (0.678), number of secondary branches per plant (NSB) (0.182),and thousand seed weight (TSW) (0.289) had a positive direct impact on seed yield per plant (SYP) and thus it was concluded that these traits could be exploited for the enhancement of yield potential of rapeseed. This study showed that based on the agronomic performance execution, genotypes G8, G14, G19, G21, G47, and G55 might be proposed for future hybridization program in Bangladesh and this could help rapeseed breeders to upgrade their breeding activities.

scholarly journals Genetic Variability, Correlation and Path Coefficient Studies in Elephant Foot Yam (Amorphophallus campanulatus Bl.)

2013 ◽  
Vol 5 (2) ◽  
pp. 371-381 ◽  
Author(s):  
K. K. Paul ◽  
M. A. B. Miah
Keyword(s):  
Genetic Variability ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Plant Height ◽  
Correlation Study ◽  
Path Coefficient ◽  
Area Index ◽  
Depth Study ◽  
Elephant Foot Yam ◽  
Positive Direct

An investigation has been made to characterize the local accessions of Elephant foot yam collected from thirteen aroid growing districts and in-depth study on genetic variability, correlation and path coefficient for plant height, petiole length, petiole breadth, leaf area index, corm length, corm breadth, corm weight, cormel number, cormel length, cormel breadth, cormel weight and yield per plant has also been carried out. Genotypic variances and coefficient of variation for most of the characters were remarkably higher than their corresponding environmental variances, which also indicate the existence of variation in genotypic origin. High heritability with high genetic advance in percentage of mean was also observed for all characters. In the correlation study plant height, leaf area index, corm length, corm breadth, corm weight, cormel number, cormel length, cormel breath showed positive correlation with yield per plant in genotypic and phenotypic level. Leaf area index, cormel number in phenotypically and cormel number in genotypic level showed relatively high positive direct effect on yield per plant.Keywords: Amorphophallus; Genetic variability; Correlation; Path coefficient.© 2013 JSR Publications. ISSN: 2070-0237 (Print); 2070-0245 (Online). All rights reserved.doi: http://dx.doi.org/10.3329/jsr.v5i2.13853        J. Sci. Res. 5 (2), 371-381 (2013)

scholarly journals Genetic Analysis of Some Genotypes of Indian Mustard (Brassica juncea L.) for Yield and Yield Attributing Traits

2021 ◽  
pp. 51-60
Author(s):  
A. M. Pradhan ◽  
M. Roy Choudhury ◽  
A. Sawarkar ◽  
S. Das
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Block Design ◽  
Indian Mustard ◽  
Correlation Study ◽  
Biotic And Abiotic Stress ◽  
Randomized Block Design ◽  
Additive Gene ◽  
Positive Direct

The current investigation was carried out to examine the selection criteria for yield improvement in selected genotypes of Indian mustard. Twenty-four genotypes of Indian mustard were evaluated for seed yield and yield attributing characters with randomized block design with three replications. The analysis of variance showed significant differences among all the 24 genotypes against all the characters. The phenotypic and genotypic coefficient of variation were higher for most of the traits like seed yield per plant, number of secondary branches per plant and number of siliquae per plant. High heritability coupled with high genetic advance in percent of mean was registered for number of siliquae per plant, number of primary and secondary branches per plant, plant height, 1000 seed weight, siliqua length per plant and seed yield per plant suggesting predominant role of additive gene action for expression of these traits. The correlation study revealed that seed yield per plant was positively and significantly correlated with number of primary and secondary branches per plant, number of siliquae per plant, siliqua length per plant and 1000 seed weight at both phenotypic and genotypic level. The traits namely, number of secondary branches per plant recorded as highest positive direct effect followed by number of seeds per siliqua, number of siliquae per plant and plant height. Therefore, they may be carried out further evaluation in multilocational trials, biotic and abiotic stress like environmental conditions to check their stability and adaptability.

scholarly journals Relationships between seed yield and yield components in narbon bean (Vicia narbonensis L.) by path analysis

1970 ◽  
Vol 37 (1) ◽  
pp. 27-32 ◽  
Author(s):  
Mevlüt Türk ◽  
Necmettin Çelik ◽  
Gamze Bayram ◽  
Emine Budakli
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Harvest Index ◽  
Stepwise Multiple Regression ◽  
Path Coefficient ◽  
Vicia Narbonensis ◽  
Biological Yield ◽  
Primary Selection ◽  
Positive Direct ◽  
Weight Number

Results of correlation analysis indicated that seed yield in narbon bean (Vicia narbonensis L.) was correlated positively with harvest index, biological yield, weight, number of seed and number of pod per plant and also plant height and number of plant per m2. Path coefficient analyses revealed that harvest index and biological yield had higher positive direct effects on seed yield than other variables. Stepwise multiple regression analysis showed that 95.1% of total variation in seed yield could be explained by the variation in harvest index, biological yield and plant height. Results suggest that harvest index and biological yield are primary selection criteria for improving seed yield in narbon bean.   

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

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.

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.

Assessment of genetic variability and inter-character association in the germplasm of cowpea (Vigna Unguiculata L. Walp) in hot arid climate

2018 ◽  
Author(s):  
Om Vir Singh ◽  
Neelam Shekhawat ◽  
Kartar Singh ◽  
R. Gowthami
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Vigna Unguiculata ◽  
Seed Weight ◽  
Number Of Clusters ◽  
Positive Direct ◽  
Pod Length ◽  
100 Seed Weight ◽  
Number Of Branches

Studies on genetic variability, correlation and path coefficient analysis were carried out with 38 accessions of cowpea (Vigna unguiculata L. Walp.) evaluated in two environments i. e. kharif 2013 (E1) and kharif 2014 (E2) at Research field of NBPGR, Regional Station Jodhpur, India. Analysis of variance revealed significant differences among the genotypes for all the traits. Genotypic coefficient of variation was highest for number of clusters per plant followed by number of pods per plant in both the environments. High broad sense heritability along with high genetic advance for seed yield per plant, 100 seed weight, pod length, number of pods per plant, peduncle length, number of clusters per plant, number of branches per plant and plant height indicated the presence of additive gene effects for these traits in cowpea. In both the environments seed yield per plant was positively correlated with 100 seed weight, pod length, number of pods per plant, number of clusters per plant, number of branches per plant and plant height. The highest positive direct effect registered by number of branches per plant followed by number of clusters per plant in E1 environment and by number of branches per plant followed by plant height in E2 environment. The traits like 100 seed weight, plant height, number of pods per plant number of clusters per plant and number of branches per plant were identified as selection criteria for obtaining good parental lines in cowpea breeding programmes.

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.

Study of genetic variability, character association, path analysis and selection parameters for heterotic recombinant inbred lines of garden peas (Pisum sativum var. Hortense L.) under mid-hill conditions of Himachal Pradesh, India

2015 ◽  
Author(s):  
Viveka Katoch ◽  
Prem Singh ◽  
Mayanglambam Bilashini Devi ◽  
Akhilesh Sharma ◽  
G. D. Sharma ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Path Analysis ◽  
Plant Height ◽  
Yield Potential ◽  
Genetic Advance ◽  
Recombinant Inbreds ◽  
Pod Yield ◽  
Positive Direct ◽  
L 14 ◽  
Pod Length

The present investigations involving forty five diverse pea recombinant inbreds and three standard checks were carried out for two successive years during 2011-2012 and 2012-13. The objective of the study was to ascertain genetic variability, heritability, genetic advance, correlation and path coefficient among yield and other horticultural and quality traits and identification of superior recombinants for their utilization in crop improvement programme. Wide range of variability was observed for most of the characters under study. The magnitude of phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variability (GCV) for all the traits. High phenotypic and genotypic coefficient of variations were recorded for protein content, ascorbic acid, plant height and pod yield per plant for both the years. Pod yield per plant and plant height exhibited high heritability associated with high genetic advance in the respective years indicating the additive gene action for their expression and are likely to respond better to selection. Pod yield showed a positive and significant correlation with number of pods per plant, pod length and number of seeds per pod both the years. Path analysis revealed that number of pods per plant and pod length have highest positive direct effect both the years and thus it may be treated as selection criteria for isolating higher yielding genotypes in garden peas. In heterosis study, some of the recombinant inbreds were found superior over standard checks which include L-14 and L-13 for pod yield/plant, number of pod/plant and earliness. These findings can be further utilized to develop and enhance the yield potential of garden pea.

Sign in / Sign up

Export Citation Format

Share Document