scholarly journals Genetic Variability and Path Analysis Studies in Barley (Hordeum vulgare L.)

2019 ◽  
Vol 7 (2) ◽  
pp. 243-247
Author(s):  
Mohammad Quamrul Islam Matin ◽  
Mohammad Amiruzzaman ◽  
Md. Motasim Billah ◽  
Most. Bilkis Banu ◽  
Nazmun Naher ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Path Analysis ◽  
Plant Height ◽  
Seed Weight ◽  
Block Design ◽  
Spike Length ◽  
Direct Selection ◽  
Hordeum Vulgare L ◽  
Days To Heading ◽  
Positive Direct

The present study was carried out to investigate the correlation coefficient, path analysis and genetic variability among some barley varieties for nine characters in a Randomize Block Design (RBD) with three replications in three environments of Bangladesh. High genotypic coefficient of variation (GCV) was obtained from grain/ spike (29.89 %), yield/ plant (28.72%) and effective tiller/plant (21.86 %) and spike length (13.56 %). The characters with high GCV indicated high potential for selection. The highest heritability (Hb) was observed for 1000 seed weight (95.09) followed by yield/ plant (93.98), grain/ spike (92.09) and spike length (69.93), days to heading (72.65) but the lowest Hb was identified for effective tiller/plant (22.41) followed by the plant height (34.21). Those traits with higher heritability may be considered for selection. Grain/ spike had the highest positive direct effect (5.65) on yield followed by 1000 seed weight (4.65), spike length (1.26), yield/ plant (0.66), days to heading (0.55) and days to maturity (0.34). These parameters were identified as direct selection. Direct negative effect on yield was shown by plant height (-0.32) and effective tiller/plant (-0.74). This was an indication of indirect selection. Int. J. Appl. Sci. Biotechnol. Vol 7(2): 243-247

scholarly journals GENETIC VARIABILITY, CHARACTER ASSOCIATION AND PATH ANALYSIS OF YIELD AND ITS COMPONENT TRAITS IN MAIZE (Zea mays L.)

2016 ◽  
Vol 29 (1) ◽  
pp. 21-30
Author(s):  
M. N. Huda ◽  
M. S. Hossain ◽  
M. Sonom
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Path Analysis ◽  
Plant Height ◽  
Direct Effect ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Male Flower ◽  
Maize Genotypes ◽  
Positive Direct

The experiment was conducted in the experimental area of Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka during March to June, 2014 to study the genetic variability, correlation and path co-efficient analysis for yield and yield contributing characters of maize. In this experiment 25 maize genotypes were used as experimental materials. The experiment was laid out in Randomized Complete Block Design (RCBD) with three replications. Mean performance, variability, correlation matrix and path analysis on different yield contributing characters and yield of maize genotypes were estimated. The highest grain yield/plant (272.21 g) was recorded in the genotype of BARI Hybrid Maize-6, whereas the lowest grain yield/plant (180.40 g) from the genotype of NZ-003. Phenotypic coefficient of variation was higher than the genotypic coefficient of variation for all the yield contributing traits. In correlation study, significant positive association was recorded for grain yield/plant of maize genotypes with plant height (0.235), tassel height (0.359), number of grains/cob (0.854), cob length (0.390), cob diameter (0.313) and weight of 1000-grains (0.689). Path analysis revealed that days to initiation of male flower had positive direct effect (0.132), days to initiation of female flower had negative direct effect (-0.254), days to maturity had positive direct effect (0.178), plant height had positive direct effect (0.314), tassel height had positive direct effect (0.234), ear length had positive direct effect (0.197), number of grains/cob had negative direct effect (-0.095), cob length had positive direct effect (0.167), cob diameter had positive direct effect (0.168) and that weight of 1000-grains had positive direct effect (0.217) on yield / plant.

scholarly journals Assessment of Genetic Variability and Correlation of Yield Related Traits in Chickpea (Cicer arietinum L.)

2021 ◽  
pp. 181-188
Author(s):  
Veeramalla Rohith Guptha ◽  
Gabrial M. Lal ◽  
Jakkam Mahipal Reddy ◽  
P. Venkata Bala Bramhanjaneyulu ◽  
C. Kalyan Sagar ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Path Analysis ◽  
Plant Height ◽  
Seed Yield ◽  
Block Design ◽  
Heritability Estimate ◽  
Selection Strategy ◽  
Plant Seed ◽  
Positive Direct ◽  
Number Of Seeds

The present investigation was undertaken with 21 genotypes of Chickpea, (including one check) during Rabi 2020-21 in a randomized block design with three replications at field experimentation centre of Department of Genetics and Plant Breeding. Sam Higginbottom University of Agriculture, Technology and Sciences. The data were recorded for 13 characters to study genetic variability, correlation and path analysis. Analysis of variance among 21 genotypes showed highly significant differences for all the characters indicated the presence of substantial amount of genetic variability. On the basis of mean performance, the highest seed yield was observed in genotype NBEG-1121 and RVS-5949. The estimates of GCV and PCV were moderate for plant height, number of primary branches. Low GCV and PCV was recorded for days to 50% flowering. The difference between PCV and GCV was very low for all 13 yield contributing characters. This indicates that the influence of environment factor was low on these characters. High heritability estimate was recorded for number of seeds per plant, number of secondary branches per plant. A high magnitude of genetic advance expressed as a percent of mean was observed in respect of number of seeds per plant, number of secondary branches per plant. Seed yield per plant exhibited positive and highly significant correlations with days to 50% Flowering, no of secondary branches at both genotypic and phenotypic level. The positive non-significant correlations of seed yield per plant were found with number of secondary branches and days to maturity. Negative non- significant correlation was being observed with the plant height, number of primary branches per plant and number of pods per plant. Path analysis at both genotypic and phenotypic level showed positive direct effects by days to 50% flowering, number of secondary branches per plant. The characters identified above as important components merit due to consideration in the formulation of effective selection strategy in chickpea for developing high yielding varieties.

scholarly journals Trait Association and Path Coefficient Analysis for Yield Traits in Myanmar Sesame (Sesamum indicum L.) Germplasm

2019 ◽  
pp. 1-10
Author(s):  
Myint Aye ◽  
Nyo Mar Htwe
Keyword(s):  
Path Analysis ◽  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Block Design ◽  
Flowering Plant ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Yield Attributes ◽  
Positive Direct

The experiment was conducted in randomized complete block design with three replications during the dry season, 2014 at Yezin Agricultural University, Myanmar to determine the extent of genetic variability for important yield attributes and to determine interrelationship among the traits and their direct and indirect effects on yield of forty Myanmar sesame germplasm. All genotypes were phenotyped for ten agronomic traits. All basic statistical parameters and phenotypic correlation were generated using STAR v2.0.1 and PBTools v1.4. Genotypic correlation and path analysis between yield and yield components were evaluated by SPAR 2.0 and R software package. Wide variations were observed for all traits studied in all germplasm. Primary branches, capsules and seed yield per plant showed high genotypic and phenotypic variances, PCV and GCV estimates that are enough scope for selection. Progeny selection will be effective to improve plant height and number of capsules per plant indicating high heritability with high genetic advance. In both genotypic and phenotypic correlation analysis, main seed yield contributing traits in sesame production were days to first and 50% flowering, plant height, primary branches, capsules per plant and capsule length. According to path analysis, positive direct effect on seed yield was contributed by days to first flowering followed by 1000 seed weight, capsules per plant, no. of primary branches per plant and capsule length. Therefore, days to first flowering, 1000 seed weight, capsules per plant, primary branches and capsule length may be good selection criteria for further sesame breeding programs related to high yielding varieties.

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 Sequential Path Analysis for Determination of Relationship Between Yield and Yield Components in Bread Wheat (Triticum aestivum.L.)

2014 ◽  
Vol 6 (1) ◽  
pp. 119-124 ◽  
Author(s):  
Mohtasham MOHAMMADI ◽  
Peyman SHARIFI ◽  
Rahmatollah KARIMIZADEH
Keyword(s):  
Grain Yield ◽  
Path Analysis ◽  
Plant Height ◽  
Canopy Temperature ◽  
Correlation Coefficients ◽  
Early Growth ◽  
Spike Length ◽  
Lattice Design ◽  
Growth Vigor ◽  
Positive Direct

An experiment was conducted to evaluate 295 wheat genotypes in Alpha-Lattice design with two replications. The arithmetic mean and standard deviation of grain yield was 2706 and 950 (kg/ha),respectively. The results of correlation coefficients indicated that grain yield had significant and positive association with plant height, spike length, early growth vigor and agronomic score. Whereas there were negative correlation coefficients between grain yield and days to physiological maturity and canopy temperature before and during anthesis. Path analysis indicated agronomic score and plant height had high positive direct effects on grain yield, while canopy temperature before and during anthesis, and days to maturity, wes another trait having negative direct effect on grain yield. The results of sequential path analysis showed the traits that accounted as a criteria variable for high grain yield were agronomic score, plant height, canopy temperature, spike length, chlorophyll content and early growth vigor, which were determined as first, second and third order variables and had strong effects on grain yield via one or more paths. More important, as canopy temperature, agronomic score and early growth vigor can be evaluated quickly and easily, these traits may be used for evaluation of large populations.

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 Heritabilitas dan Hubungan Antar Karakter Kuantitatif Kecipir (Psophocarpus tetragonolobus (L.) DC) pada Tiga Lingkungan

2021 ◽  
Vol 49 (1) ◽  
pp. 68-74
Author(s):  
Dian Rakhmad ◽  
Muhamad Syukur ◽  
Willy Bayuardi Suwarno
Keyword(s):  
Genetic Variability ◽  
Path Analysis ◽  
Flowering Time ◽  
Variance Components ◽  
Seed Weight ◽  
Winged Bean ◽  
Seed Number ◽  
Psophocarpus Tetragonolobus ◽  
High Productivity ◽  
Positive Direct

Winged bean (Psophocarpus tetragonolobus (L.) DC) is known as tropical soybean with high nutritional content. Lack of information on the variance components and heritability of winged bean breeding is one of the reasons for the lack of winged bean breeding programs in Indonesia. This reseach aimed to obtain information on variance components, heritability and relationship between winged bean traits. The experiment was conducted in three environments, from January 2019 to June 2020. Two environments located in Bogor and one in Palembang. Eleven genotypes of winged bean were tested and 11 traits were observed. The result showed that flowering time and seed number per pod performed wide genetic variability. High heritability was observed on seed number per pod (89.48%), flowering time (83.32%), young pods length (70.97%), and weight of 100 seeds (68.63%). The results of correlation analysis and path analysis showed that young pod productivity (1.07), seed weight per plot (0.81), flowering time (0.29), young pod length (0.17), young pod width (0.12), seed weight per plant (0.09), and 100 seeds weight (0.01) had a positive direct effect on wing bean productivity. Flowering time, seed number per pod, seed weight per plant are suitable characters for selection criteria for breeding high productivity winged bean. Keywords: correlation, genetic variability, path analysis

Genetic Variability, Character Association and Path Analysis for Pod Yield and its Component Characters in Groundnut [Arachis hypogaea (L.)]

2021 ◽  
Author(s):  
Giradhari Lal Yadav ◽  
S.S. Rajput ◽  
D.K. Gothwal ◽  
M.L. Jakhar
Keyword(s):  
Genetic Variability ◽  
Block Design ◽  
Crop Improvement ◽  
Kernel Weight ◽  
Direct Selection ◽  
Oilseed Crop ◽  
Pod Yield ◽  
Biological Yield ◽  
Positive Direct ◽  
Kernel Yield

Background: Groundnut is an important oilseed crop in the India. The groundnut kernels serve as a rich source of edible oil (48-50%) and quality protein (25-28%). In crop improvement programme, availability of sufficient genetic variability is of immense importance. The knowledge of nature and magnitude of genetic variance controlling yield and yield components is a prerequisite for improvement of yield in any crop. Methods: The present investigation was undertaken to assess the genetic variability and character associations for pod yield and component characters in 45 genotypes of groundnut. The genotypes were raised in randomized complete block design with three replications during kharif 2019 at SKNAU, Jobner (Rajasthan). Result: The analysis of variance revealed significant differences among the genotypes for all the characters studied indicating presence of wide genetic variation for different characters. In the present investigation, high genetic advance coupled with high heritability and GCV was observed for biological yield per plant, 100-kernel weight, kernel yield per plant, dry pod yield per plant and pods per plant which indicated prevalence of additive gene action in their expression and these traits possessed high selective value. Kernel yield per plant, pods per plant and biological yield per plant exhibited significantly positive correlation with dry pod yield per plant both at genotypic and phenotypic levels, while shelling percentage at genotypic level only. Three characters viz., kernel yield per plant, pods per plant and biological yield per plant could be considered as direct selection parameters for yield improvement in groundnut because they exerted positive direct effect on dry pod yield per plant.

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

Sign in / Sign up

Export Citation Format

Share Document