scholarly journals Correlation and Path Coefficient Analysis in Yield and Yield-Related Components of Black Cumin (Nigella Sativa L.) Accessions, at Jimma, Southwest Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Zigyalew Gashaw ◽  
Wosene Gebreselassie ◽  
Girma Hailemichael
Keyword(s):  
Seed Yield ◽  
Nigella Sativa ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Black Cumin ◽  
Lattice Design ◽  
Inadequate Information ◽  
Biological Yield ◽  
Positive Direct ◽  
The Relationship

Many research works have been done on black cumin focusing on its nutritional and medicinal properties. But, there is inadequate information on the association of yield and yield-constituting traits of black cumin to improve its production. Therefore, correlation analysis was made on thirty-six black cumin accessions evaluated at Jimma in simple lattice design during 2016, to quantify the relationship between traits. The result of the analysis showed that seed yield ha−1 had positive and highly significant correlation with number of effective capsules (0.88), secondary branches (0.73), plant height (0.72), total branches (0.71), steam thickness (0.58), primary branches (0.52), tertiary branches (0.52), harvesting index (0.47), and biological yield (0.43). Path coefficient analysis revealed that harvesting index, biological yield, and number of effective capsules exerted high and favorable direct contribution to seed yield at phenotypic level, whereas harvesting index, biological yield, primary and tertiary branches, number of effective capsules, and stem thickness showed positive direct effect at genotypic level. The favorable direct effects of these traits on grain yield indicate that keeping other variables constant, improvement of these traits will increase black cumin yield. Therefore, these traits should be kept in mind in the future breeding program of black cumin.

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 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 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.

scholarly journals A Research on determining the factors affecting on seed yield in different lentil lines and cultivars (Lens culinaris Medik.) in adiyaman conditions by correlation and path coefficient analysis

2021 ◽  
Vol 6 (1) ◽  
pp. 17
Author(s):  
Umit Girgel ◽  
Hatice Cokkizgin ◽  
Alihan Cokkizgin
Keyword(s):  
Direct Effect ◽  
Seed Yield ◽  
Indirect Effect ◽  
Lens Culinaris ◽  
Correlation Coefficients ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Factors Affecting ◽  
Positive Direct ◽  
Pod Number

This research was conducted in 2015 year in Kahramanmaras province (37°32'09.5"N 36°55'01.2"E) with 3 lentil genotypes (CAGIL, FIRAT-87, and FLIP 2005-20 L).  In the research, direct and indirect effects of yield components on seed yield were examined by correlation and path coefficient analysis. The correlation coefficients between the investigated features were found to be insignificant. According to the path coefficients, the highest positive direct effect on seed yield was determined as pod number per plant (p=4.015). On the other hand, the highest negative direct effect on seed yield was obtained from plant height (p=-3.606). The indirect effect of the seed number per plant over number of days until maturity on the seed yield was determined as the highest positive indirect effect (p=55.546%). The indirect negative highest effect on seed yield was determined in the pod number per plant over thousand seed weight (p=51.488%). As a result, the number of pods per plant should be taken into consideration by the breeders due to direct effect of it was positive and high

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.

Character association of seed yield and its components in some lentil (Lens culinaris Medik.) genotypes under normal and late sown condition

2017 ◽  
Author(s):  
Debashree Roy Choudhury ◽  
Sabyasachi Kundagrami
Keyword(s):  
Seed Yield ◽  
Lens Culinaris ◽  
Morphological Characters ◽  
Correlation Study ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Yield Improvement ◽  
Analysis Study ◽  
Character Association ◽  
Positive Direct

Character association in forty eight genotypes of lentil was studied for nine different agro-morphological characters in normal and late sown conditions. Normal sown condition was taken into consideration as optimum environment and late sown as heat stressed environment. The correlation study revealed consistent positive significant character association (at genotypic and phenotypic levels) of pods per plant with seed yield per plant in both sowing conditions. So this character may be considered for yield improvement. From path coefficient analysis study it was revealed that pods per plant showed consistently positive direct effect on seed yield/plant for both sowing conditions.

The relationship between seed yield and associated characters in meadow fescue (Festuca pratensis)

1966 ◽  
Vol 67 (2) ◽  
pp. 243-248 ◽  
Author(s):  
Joseph Lewis
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Dry Matter ◽  
Flowering Plant ◽  
Path Coefficient ◽  
Festuca Pratensis ◽  
Path Coefficient Analysis ◽  
Meadow Fescue ◽  
Matter Production ◽  
The Relationship

A study was made of phenotypic correlations between seed yield and some other traits of determinable value in two bred varieties of meadow fescue. Seed yield and such characters as time of flowering, plant height and dry-matter production of spaced plants in October and at the time of anthesis were found to be closely associated.The method of path coefficient analysis was used to study the interrelationships of seed yield and its components in the causal system: fertile tiller and floret numbers, percentage fertility and thousandseed weight. This analysis corroborates the result of simple correlations in showing the importance of fertile tiller numbers and fertility as major determinants of seed yield.

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 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)

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