scholarly journals Correlation and Path Coefficient Analysis for Various Quantitative Traits in Desi Chickpea Genotypes under Rainfed Conditions in Ethiopia

2016 ◽  
Vol 8 (12) ◽  
pp. 112 ◽  
Author(s):  
Megersa Tadesse ◽  
Asnake Fikre ◽  
Million Eshete ◽  
Nigusie Girma ◽  
Lijalem Korbu ◽  
...  
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Quantitative Traits ◽  
Field Experiments ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Human Diet ◽  
Path Analyses ◽  
Rainfed Conditions ◽  
Days To Maturity

Chickpea is rich in protein and micronutrients and plays a significant role in human diet especially as accompaniment to staples, but grain yields in Ethiopia are still below the crop potential. Field experiments were conducted during 2007/8-2009/10 to determine relationships among yield and some yield components using correlation and path coefficient analysis in desi chickpea grown under rainfed conditions. Correlation studies revealed that seed yield was significantly and positively correlated with days to flowering, days to maturity, number of pods per plant, number of seeds per pod, stand count at harvest, plant height and biomass. The path coefficient analysis based on seed yield, as a dependent variable, revealed that biomass had the greatest direct effect on seed yield (0.0146) and followed by stand count at harvest and plant height. Both correlation and path analyses indicated that biomass, stand count at harvest and plant height were the major direct contributors to seed yield. Thus, the present study suggests that more biomass production, stand count at harvest and plant height are major yield factors in selecting high yielding desi chickpea cultivars.

Genetic variability, correlation and path coefficient analysis for quantitative traits in chickpea genotypes

2017 ◽  
Vol 51 (05) ◽  
Author(s):  
A. Nishant Bhanu ◽  
M. N. Singh ◽  
Rajendra Tharu ◽  
S. K. Saroj
Keyword(s):  
Seed Yield ◽  
Quantitative Traits ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Rabi Season ◽  
Days To Maturity ◽  
Correlation And Path Analysis ◽  
Selection Parameters ◽  
100 Seed Weight ◽  
Number Of Branches

Fifty three germplasm of chickpea were undertaken to determine relationships among yield and some yield components using direct (variability, heritability, and genetic advance) and indirect selection parameters (correlation and path coefficient analysis). The present investigation was carried out at the Agriculture Research Farm of Institute of Agricultural Sciences, Banaras Hindu University, Varanasi during the rabi season of 2011-12. Significant genetic variations were observed among the genotypes for days to flower, days to maturity, plant height, number of branches plant-1, number of pods plant-1, 100-seed weight and seed yield plant-1. Correlation studies revealed that seed yield was positively and significantly correlated with number of primary branches, number of secondary branches and number of pods plant-1. The path coefficient analysis based on seed yield, as a dependent variable, showed that pods plant-1 had the greatest direct effect on seed yield (0.81) followed by number of secondary branches. Both correlation and path analysis indicated that pods plant-1 and number of secondary branches were the major direct contributors to seed yield.

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 Correlations and path analyses of yield and other sunflower seed characters

Genetika ◽  
2013 ◽  
Vol 45 (2) ◽  
pp. 459-466 ◽  
Author(s):  
Velimir Radic ◽  
Jelena Mrdja ◽  
Sreten Terzic ◽  
Bosko Dedic ◽  
Aleksandra Dimitrijevic ◽  
...  
Keyword(s):  
Seed Germination ◽  
Seed Yield ◽  
Seed Weight ◽  
Sunflower Seed ◽  
Genetic Parameters ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Path Analyses ◽  
Parental Lines ◽  
Effect On Yield

Ten sunflower commercial female parental lines were evaluated for various parameters under field conditions to estimate genetic parameters, correlation coefficient, and path analyses. Interactions of seed germination, 1000 seed weight, oil and protein content with seed yield were examined. After three years of observations, positive significant correlations were found while comparing seed yield with 1000 seed weight. Negative significant correlations were found by comparing seed yield and seed germination. Positive but not significant correlation was found while comparing seed yield with oil content in sunflower seed. Path coefficient analysis indicates that 1000 seed weight has maximum positive and seed germination maximum negative direct effect on yield.

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.

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.

Genetic divergence, correlation and path coefficient analysis for the yield components of pigeonpea genotypes

2015 ◽  
Author(s):  
SNCVL Pushpavalli ◽  
C. Sudhakar ◽  
C. Sudha Rani ◽  
R. Raja Rajeswari ◽  
C. Jyothi Rani
Keyword(s):  
Seed Yield ◽  
Genetic Divergence ◽  
Yield Components ◽  
Seed Weight ◽  
Mean Value ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Days To Maturity ◽  
Cluster Distance ◽  
100 Seed Weight

The present investigation was carried out using thirty two pigeonpea genotypes during kharif 2013-14 to obtain the knowledge of correlation, path coefficient analysis for the yield components and genetic divergence. The range of GCV was observed from 9.81 to 40.88% for the traits under study which provides information regarding the extent of variability present among the genotypes. Seed yield was significantly and positively correlated with number of secondary branches/plant, pods/plant and 100-seed weight. Path coefficient analysis indicated that number of secondary branches exhibited maximum direct effect followed by number of pods/plant and 100 seed weight. The genotypes were grouped into eight different clusters based on Mahalonobis D2 statistics. Clusters II and III exhibited maximum inter cluster distance of 8.80. Days to 50% flowering contributed to maximum genetic divergence followed by seed yield. Genotypes in cluster III recorded highest mean value for days to maturity, number of secondary branches and seed yield.

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 CHARACTER ASSOCIATION OF SOYBEAN (Glycine max) LINES FOR YIELD CONTRIBUTING TRAITS

2015 ◽  
Vol 26 (2) ◽  
pp. 33-38 ◽  
Author(s):  
A. K. M. S. Islam ◽  
P. K. Rai
Keyword(s):  
Plant Height ◽  
Seed Weight ◽  
Residual Effect ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Soybean Genotype ◽  
Plant Seeds ◽  
Days To Maturity ◽  
Positive Effect ◽  
100 Seed Weight

The present study was conducted with ten soybean genotype on correlation, path coefficient and genetic component of some important traits. Ten characters were studied to find out the suitable traits for the improvement of soybean yield. It was observed that yield per plot was positively correlated with pods per plant, seeds per pod, branches per plant, harvest index, days to maturity and plant height which revealed that selection based on these traits could significantly improved the grain yield of soybean. From the path coefficient analysis, it was observed that among the different yield contributing characters pods per plant, seeds per pod, plant height, 100 seed weight contributed maximum direct positive effect to yield per plot. Negative direct effect was observed for days to flowering and days to maturity, but its correlation with yield was positive. It was due to its positive indirect effect. The residual effect was found 0.175 which indicated that 82.50% of the variability was accounted for 10 yield and yield contributing traits included in the present study. Rest 17.50% variability might be controlled by other yield contributed traits that was not included in the present investigation.

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