scholarly journals Character Association and Path Coefficient Analysis in Indian Mustard (Brassica juncea L.)

2022 ◽  
Author(s):  
V.V. Singh ◽  
Laxman Prashad ◽  
Balbeer . ◽  
H.K. Sharma ◽  
M.L. Meena ◽  
...  
Keyword(s):  
Direct Effect ◽  
Seed Yield ◽  
Harvest Index ◽  
Oil Content ◽  
Indian Mustard ◽  
Test Weight ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Zone Length ◽  
Biological Yield

Background: Correlation analysis informs us about the relative importance of the breeding traits and quite useful for plant breeders to formulate their breeding and selection strategies. Path coefficient analysis splits the correlation coefficient into the measures of indirect and direct effect. It identifies the indirect and direct influence of different autonomous genotype on a dependent trait. Present study aimed to determine major seed contributing components affecting seed yield and also to know the relationship among these components. Methods: Present investigation was carried out on 147 advanced breeding lines to know the correlations and path coefficient for 12 yield and yield contributing traits. The material was evaluated in augmented block design with 07 blocks, each block having 21 lines. A set of three check varieties were repeated in each block. Observations were recorded on number of primary branches/plant, number of secondary branches/plant, plant height (cm), silique/plant, fruiting zone length (cm), main shoot length (cm), number of seeds/siliquae, siliquae length (cm), biological yield/plant (g), seed yield/plant (g), harvest index and test weight. Result: The seed yield per plant showed positive and significant correlation with primary branches per plant (0.273), secondary branches per plant (0.280), siliquae per plant (0.627), biological yield per plant (0.744), harvest index (0.188), test weight (0.212) and oil content (0.225). Biological yield per plant (0.5747) had maximum direct effect on seed yield per plant followed by siliquae per plant (0.2438), harvest index (0.127), oil content (0.118) and test weight. These characters have positive and significant association with seed yield per plant. The study thus indicated that biological yield per plant, siliquae per plant, harvest index and test weight are the important characters which should be considered in selection programme in Indian mustard.

Genetic estimates and path coefficient analysis in chickpea (Cicer arietinum L.) under normal and late sown environments

2016 ◽  
Author(s):  
Indu Bala Dehal ◽  
Rama Kalia ◽  
Bhupender Kumar
Keyword(s):  
Cicer Arietinum ◽  
Direct Effect ◽  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Cicer Arietinum L ◽  
Biological Yield ◽  
100 Seed Weight

The research was carried out to determine selection criteria using correlation and path coefficient analysis in 25 chickpea (Cicer arietinum L.) genotypes under two different environments during rabi 2008-09 at Palampur location. The genotypes showed highly significant differences for all the characters studied in both environments. Environment I (normal sowing) exhibited its excellent potential for the traits viz., seed yield per plant, biological yield per plant, pods per plant, primary branches per plant, days to 50% flowering, days to maturity and plant height, whereas environment II (late sowing) exhibited it for harvest index, per cent crude protein and 100-seed weight. High heritability coupled with high genetic advance was observed for seed yield per plant, pods per plant and 100-seed weight in environment I. Seed yield per plant was positively and significantly correlated with pods per plant (E1=0.767 and E2=0.647), harvest index (E1=0.767 and E2=0.745), biological yield per plant (E1=0.612 and E2=0.537) and primary branches per plant (E1=0.422 and E2=0.515) in both the environments. Path coefficient analysis revealed the high direct effect of biological yield and harvest index towards seed yield per plant, whereas primary branches per plant and pods per plant showed negligible direct effect, but their indirect contribution for it through biological yield and harvest index was high. The present study suggests that selection for high seed yield should be based on selecting high biological yield, pod per plant, high test weight and primary branches per plants in chickpea.

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.

Assessment of Genetic Variability and Relationship between Different Quantitative Traits in Field Pea (Pisum sativum var. arvense) Germplasm

2021 ◽  
Author(s):  
Vijay Pratap ◽  
Vijay Sharma ◽  
Kamaluddin . ◽  
Gaurav Shukla
Keyword(s):  
Genetic Variability ◽  
Correlation Coefficient ◽  
Seed Yield ◽  
Harvest Index ◽  
Quantitative Traits ◽  
Field Pea ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Path Coefficient Analysis ◽  
Biological Yield

Background: Assessment of genetic variability and inter-relationship between the characters can be used in the breeding programme to evolve new varieties with wide genetic diversity to maximize the yield potential in crop improvement programmes. Eighty-four field pea genotypes were evaluated in an augmented block design for thirteen quantitative traits to study variance components, heritability, genetic advance and inter-relationship between the yield and yield contributing traits. Methods: The extent of phenotypic and genotypic variation that exist in a character was calculated by the formula suggested by Burton and de Vane (1953). Heritability in broad sense and genetic advance as per cent of mean for each character was computed using the formula suggested by Hanson et al. (1956) and Johnson et al. (1955), respectively. Correlation coefficient was calculated by method suggested by Searle (1961) and path coefficient analysis done as per method of Wright (1921) and elaborated by Dewey and Lu (1959).Result: Significant differences observed among the genotypes tested for the yield characters indicated the presence of variability. High heritability coupled with high genetic advance as percent of mean was observed for the traits viz., plant height, effective pods plant-1, harvest index and seed yield plant-1 were governed by additive gene effects which will aid in effective selection. Correlation coefficient analysis revealed that seed yield plant-1 had highly significant and positive correlation with biological yield plant-1, effective pods plant-1, harvest index, seeds pods-1 and effective nodes plant-1, indicating that these traits are strongly associated with seed yield in field pea. Path coefficient analysis identified biological yield plant-1 followed by harvest index, seed pod-1, effective nodes plant-1, 100-seed weight and day to 50% flowering as highly desirable components with great direct effects on seed yield. 

scholarly journals Exploitable genetic variability and determination of selection criteria using path coefficient analysis in chickpea

2015 ◽  
Vol 44 (1) ◽  
pp. 139-142
Author(s):  
Indu Bala ◽  
Rama Kalia ◽  
Bhupender Kumar
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Harvest Index ◽  
Wide Spectrum ◽  
Pooled Analysis ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Mean Values ◽  
Biological Yield

This study estimates the nature and extent of genetic variability as well as direct and indirect effects of yield related traits on seed yield in 25 chickpea genotypes. The pooled analysis of variance over the environments indicated significant genotypes effect compared to genotype (g) × environment (e) interactions for all the characters. The mean values of the characters studied showed a wide spectrum of genetic variation. The genotypes ICCV 96904 and Himachal Chana-1 were found to be promising for seed yield and biological yield per plant in pooled over the environments. The phenotypic correlation coefficient revealed significant positive associations of pods per plant, harvest index, biological yield per plant and primary branches per plant with seed yield per plant. The path coefficient analysis revealed that biological yield per plant and harvest index exhibited positive and high direct effects on seed yield per plant. Therefore, these characters could be considered as the best selection parameters for the improvement of seed yield per plant. DOI: http://dx.doi.org/10.3329/bjb.v44i1.22737 Bangladesh J. Bot. 44(1): 139-142, 2015 (March)

scholarly journals YIELD PERFORMANCE, HERITABILITY AND INTERRELATIONSHIP IN SOME QUANTITATIVE TRAITS IN SUNFLOWER / RENDIMIENTO, HEREDABILIDAD Y LAS INTERRELACIONES DE CIERTAS CARACTERISTICAS CUANTITATIVAS DEL GIRASOL / RENDEMENT, HÉRIDITÉ ET INTERRELATIONS DE CERTAINS TRAITS QUANTITATIFS DU TOURNESOL

Helia ◽  
2001 ◽  
Vol 24 (34) ◽  
pp. 35-40 ◽  
Author(s):  
Ayub Khan
Keyword(s):  
Direct Effect ◽  
Seed Yield ◽  
Quantitative Traits ◽  
Oil Content ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Yield Performance ◽  
High Heritability ◽  
Positive Direct ◽  
Trait Correlation

SUMMARY Yield performance, heritability and trait correlation were studied in 20 sunflower genotypes. Hybrid SF-100 produced the highest seed yield of 3669 kg ha-1 followed by NK-265 and Gloriasol with 3289 and 3264 kg ha-1, respectively. Heritability (broad sense) values ranged from -5.58% in seed per capitulum to 98.72 for 50% flower. 100-achene weight, 1st flower, complete flowering, maturity, and oil content showed high heritability values of 98.65%, 98.56%, 98.38%, 96.03% and 95.72%, respectively. Seed yield was positively correlated with all traits studied. Path coefficient analysis revealed that first flower had the highest positive direct effect on seed yield followed by seed per capitulum, 100-achene weight complete flower, and head diameter, while 50% flower had the greatest negative direct effect on seed yield.

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.   

Association among genetic parameters in Indian mustard (Brassica juncea L. Czern and Coss.)

2018 ◽  
Vol 3 (01) ◽  
pp. 11-15
Author(s):  
Vipin Kumar Malik ◽  
Shiv Kumar Singh ◽  
Vijay Kumar ◽  
Norang Pal Singh ◽  
Ankit Malik ◽  
...  
Keyword(s):  
Brassica Juncea ◽  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
Indian Mustard ◽  
Flowering Plant ◽  
Genetic Advance ◽  
Gene Effects ◽  
Plant Seed ◽  
Biological Yield

The considerable amount of genetic variability on the basis of GCV and PCV estimates for the traits; days to 50% flowering, numbers of primary and secondary branches per plant, length of siliqua, 1000-seed weight, seed yield per plant, biological yield per plant and harvest index were found in thirty five genotypes of Indian mustard (Brassica juncea L. Czern and Coss). Heritability and genetic advance were higher for days to 50% flowering, plant height and biological yield per plant. Although, number of secondary branches per plant, seed yield per plant and harvest index had moderately high heritability with moderate genetic advance indicating additive gene effects and selection pressure could be applied on them for yield improvement leads to fast genetic improvement of the materials. Days to 75% maturity, length of siliqua, 1000-seed weight and oil content had low heritability indicating that these traits were under the influence of environmental factors and selection on the basis of these traits could not be effective.

Genetic variability in Indian mustard (Brassica juncea L. Czern and Coss)

2016 ◽  
Vol 1 (01) ◽  
pp. 30-34
Author(s):  
R. K. Gupta ◽  
V. K. Dwivedi
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Oil Content ◽  
Indian Mustard ◽  
Mean Value ◽  
Mean Values ◽  
Quantitative Characters ◽  
Biological Yield ◽  
The Mean

The data were recorded on five random selected plants for 12 quantitative characters and statistical analyzed. The analysis of variance for all the twelve characters is showed the mean square due to genotypes was highly significant. The mean values of various characters like days to 50 per cent flowering were recorded maximum for genotype IC560719 and Pusa Karishma (84.00 days)with mean 69.08 days The maximum days to 75% maturity were observed in IC-560700 genotype (142.00 days) with a mean of 135.07 days. The plant height highest recorded in the genotype IC-560696 (217.60 cm) with mean of 188.14 cm. The maximum number of primary branches per plant (16.47) was recorded in the genotype NPJ-113 with mean of 10.13. The genotype NPJ-113 produced maximum number of secondary branches per plant (35.47) with mean of 19.78. The maximum length of siliqua was recorded for Kranti (7.03) with mean of 5.24cm. The maximum number of seeds per siliqua was recorded in Kranti genotype (19.13) with mean value 14.91. The maximum 1000-seed weight recorded 5.57g for Pusa Jai Kisan with mean wt. 3.96 g. Pusa Mustard-21 produced highest biological yield (191.13g) with mean 79.00g. The genotype Pusa Jagannath had maximum harvest index (30.98%) with mean value 23.87%. The oil content in mustard maximum in 42.00 % were recorded in Pusa Agrani with mean oil content was 39.16 percent. The genotype Pusa Mustard-21 showed highest seed yield per plant (47.00g) with a mean seed yield of 18.58. The higher heritability estimates in broad sense for biological yield per plant (99.6%), number of primary branches per plant (91.4%), number of secondary branches per plant (98.4) plant height (99.2%), 1000-seed weight (99.4%) and days to 50 per cent flowering (98.5). Expected genetic advance at 5% selection intensity was recorded higher for biological yield per plant (71.60) and number secondary branches per plant (10.87).

Genetic components analysis in Indian mustard (Brassica juncea L. Czern and Coss) under Saharanpur districts

2019 ◽  
Vol 4 (01) ◽  
pp. 66-70
Author(s):  
Amit Tomar
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Oil Content ◽  
Indian Mustard ◽  
Test Weight ◽  
Plant Oil ◽  
Plant Seed ◽  
Days To Flowering ◽  
Genetic Components ◽  
Days To Maturity

Regression coefficient ‘b1’ deviated from unity for length of main raceme, Number of secondary branches per plant, test weight, oil content, Number of siliquae per plant, seed yield per plant. The estimates of additive components ( Dˆ ), dominance components ( 1 Hˆ and 2Hˆ ) were highly significant for days to flowering, days to maturity, plant height, length of main raceme, number of siliquae per plant, number of secondary branches per plant, oil content, test weight and seed yield per plant .All the estimates of Fˆ (mean of Fr value, where Fr is the proportion of negatives effects of Genes in rth parents) was positive and significant number of siliquae per plant, days to flowering, days to maturity, plant height and except for which is highly significant whereas days to maturity was negative and significant. The estimates of 2 hˆ were positive and highly significant for days to flowering, days to maturity, plant height, length of main raceme, oil content, test weight and seed yield per plant. The estimates of mean degree of dominance ( 1Hˆ / Dˆ ) 0.5 were more than unity for length of main raceme, number of secondary branches per plant, oil content, test weight and seed yield per plant.

Sign in / Sign up

Export Citation Format

Share Document