scholarly journals Genetic Variability, Heritability, Genetic advance and Divergence in Ethiopian Cowpea [Vigna unguiculata (L) Walp] Landraces

2020 ◽  
Author(s):  
Fantaye Belay ◽  
Kibrom Fischa
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Agronomic Traits ◽  
Agricultural Research ◽  
Crop Improvement ◽  
Grain Filling ◽  
Genetic Advance ◽  
Improvement Program ◽  
Cluster Distance

Abstract Information on genetic variability in cowpea germplasm is important for crop improvement and for efficient utilization of the existing genetic resources. Hence, the objectives of the present investigation were to estimate genetic variability, heritability, genetic advance and to identify divergent parents from distantly related clusters among Ethiopian cowpea accessions. The field experiment was carried out using 42 accessions at Abergelle Agricultural Research Center on station during the 2019 cropping season. Data were collected for 8 agronomic traits and analysis of variance revealed significant differences (p<0.01) among the accessions for the traits studied. Seed yield had higher genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) coupled with the highest genetic advance as percent of mean (100%). All the traits had moderate (68.01) to very high (99.98%) broad sense heritability. Further, high heritability coupled with high genetic advance as percent of mean was attained for days to flowering, grain filling period, plant height, pod length, seed yield and thousand seed weight reflecting the presence of additive gene action for the expression of these traits and improvement of these traits could be done through selection. The cluster analysis based on agronomic traits revealed four distinct groups at 90% similarity level. The highest inter cluster D2 was recorded between cluster III and cluster IV (D2=133.69 units). The range of inter cluster distance was 15.25 to 133.69 units, respectively. In conclusion, the high genetic distance revealed among clusters has to be exploited via crossing and selection of the most divergent parents for future cowpea improvement program.

Genetic variability, heritability and genetic advance in cucumber (Cucumis sativus L.)

2019 ◽  
Vol 2 (1) ◽  
pp. 215-222
Author(s):  
Sampurna Bartaula ◽  
Anil Adhikari ◽  
Urbashi Panthi ◽  
Prabesh Karki ◽  
Kiran Timalsena
Keyword(s):  
Genetic Variability ◽  
Cucumis Sativus ◽  
Coefficient Of Variation ◽  
Crop Improvement ◽  
Growth And Yield ◽  
Genetic Advance ◽  
Improvement Program ◽  
Cucumis Sativus L ◽  
Days To Flowering ◽  
Fruit Diameter

Genetic variability in a crop population is important for successful plant breeding. Eight cucumber (Cucumis sativus L.) genotypes namely Green Long, Simran, Bhaktapur Local, Saihni-2, Ninja-179, Garima, Farmer’s variety and  wild genotype were evaluated at Lamahi Municipality, Dang district of Nepal to estimate the magnitude of their genetic variability and heritability. Analysis of variance revealed significant differences among genotypes for growth and yield traits. The estimates of genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were highest for weight of fruit whereas traits namely fruit length, fruit diameter and days to maturity had medium value for both GCV and PCV. Broad sense heritability estimates  ranged from 0.74 for fruit diameter to 0.98 for days to germination. Fruit yield showed high significant positive correlation with fruit diameter (r= 0.649) and negative significant correlation (r= -0.538) with days to flowering. Traits namely weight per fruit, days of germination, no. of flower and days to flowering can be used effectively in selection process of crop improvement program as they had high GCV, PCV and heritability along with high genetic advance as percentage of mean.

scholarly journals Analysis of Genetic Parameters on Ethiopian Mustard (Brassica Carinata A. Braun) Genotypes in Northwestern Ethiopia

2014 ◽  
Vol 69 (1) ◽  
pp. 25-34
Author(s):  
Tesfaye Walle ◽  
Adugna Wakjira ◽  
Tewodros Mulualem
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Crop Improvement ◽  
Grain Filling ◽  
Flowering Plant ◽  
Northern Ethiopia ◽  
Genetic Advance ◽  
Ethiopian Mustard ◽  
Grain Filling Period

ABSTRACT This study was carried out with the objective to estimate the genotypic variability and other yield related traits of Ethiopian mustard in North West Ethiopia. A total of 36 genotypes of Ethiopian mustard were considered for this study. Analysis of variance was computed to contrast the variability within the collected genotypes based on yield and other yield related traits. The results revealed highly significant values(p<0.01) for days to maturity, grain filling period, number of pod per plot, secondary branches per plant, harvest index, seed yield per plot, seed yield per hectare and oil content. Significant differences (p<0.05) were noted for days to flowering, plant height, primary branch per plant, biomass per plot, oil yield per plot differences among the genotypes. Genotypic coefficient of variation (GCV %) was lower than phenotypic coefficient of variation (PCV %) for all the traits studied. High genetic advance with heritability was observed in the following characters; plant height, biomass of the plant, number of secondary branch per plant and grain filling period. There are variations in the extent of genetic variability, heritability and genetic advance of traits which can facilitate selection for further improvement of important traits of Ethiopian mustard. Therefore, it can be concluded that the variability within Ethiopian mustard genotypes collected from different areas of northern Ethiopia is high and vital for better crop improvement.

Assessment of Genetic Variability, Diversity and Trait Correlation Analysis in Common Bean (Phaseolus vulgaris L.) Genotypes

2020 ◽  
Author(s):  
T. Basavaraja ◽  
L. Manjunatha ◽  
Rahul Chandora ◽  
S. Gurumurthy ◽  
N.P. Singh
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Agronomic Traits ◽  
Genetic Advance ◽  
High Heritability ◽  
Augmented Design ◽  
Pod Length ◽  
Trait Correlation ◽  
Number Of Branches

The present investigation was undertaken to study the genetic variability, diversity through cluster analysis and correlation among yield attributing traits. The experimental material is comprised of 63 diverse germplasm accessions including three check varieties were evaluated in augmented design during Rabi 2015-16 at IIPR, Kanpur. In this study, totally nine traits, namely, days to fifty per cent flowering (DF), days to maturity (DM), plant height (PH), number of branches per plant (NBP), number of pods per plant (NPP), pod length (PL), seeds per pod (SPP), 100 seeds wt (g) (HSW) and seed yield per plant (g) (SYP) were recorded. The results exhibited that the analysis of variance noticed significant differences among the genotypes for all characters studied. The genetic variability parameter showed that phenotypic coefficient of variation (PCV) were higher than those of genotypic coefficient of variation (GCV) for all the traits studied. Higher GCV coupled with heritability and genetic advance as % mean was recorded for PH, NPP, HSW and SYP. Likewise, high heritability coupled with high genetic advance as % mean was recorded in DF, PH, NPP, PL, HSW and SYP. Trait association study revealed that the seed yield per plant exhibited significant positive correlation with NBP, NPP, NSP and HSW. In the same pattern, Euclidian clustering analysis displays 63 genotypes were grouped to two major clusters. From this investigation, it was observed that all genotypes showed sufficient genetic variability for the traits studied. The genotype such as EC400414, EC400398, ET8415 and EC540173 were superior to check varieties in terms of morphological and other agronomic traits. These genotypes could be utilized in breeding programme for improvement of specific traits. 

scholarly journals Genetic variability, heritability and genetic advance for growth, yield and yield related traits in maize genotypes

2021 ◽  
Vol 2 (2) ◽  
pp. 96-104
Author(s):  
Roshesh Rai ◽  
Prakash Khanal ◽  
Prabin Chaudhary ◽  
Rabin Dhital
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Agronomic Traits ◽  
Block Design ◽  
Genetic Advance ◽  
Improvement Program ◽  
Positive Correlation ◽  
Maize Genotypes ◽  
High Heritability ◽  
Ear Height

Evaluation of the genetic variability, heritability and genetic advance of traits is an essential task in any plant improvement program. Twenty maize genotypes were replicated twice in a randomized complete block design on a research plot of Prithu Technical College, Deukhuri Dang of Nepal from June 2017 to September 2017 to determine genetic variability, heritability, and genetic advance for different agronomic traits. Analysis of variance showed significant differences in the traits tassel length, ear height, days to fifty percent tasseling, days to fifty percent silking, kernels’ rows ear-1, kernels row-1 and grain yield. The highest GCV (31.53%) and PCV (39.20%) were recorded on grain yield. Grain yield and ear height recorded high heritability along with high genetic advance as a percent of mean (GAM). Tassel length and kernels row-1 showed high heritability integrated with moderate GAM and moderate heritability integrated with moderate GAM respectively. Further, grain yield showed a significant and positive correlation with plant height, tassel length, ear height, cob length, cob diameter, kernels’ rows ear-1, and kernels row-1. Thus the selection of ear height, tassel length and kernels row-1 is suggested as they performed better in terms of both heritability and GAM than other traits and they also recorded a significant and positive correlation with yield.

scholarly journals Breeding Progress for Grain Yield and Yield Related Characters of Kabuli Chickpea (Cicer arietinum L.) in Ethiopia Using Regression Analysis

2018 ◽  
Vol 10 (2) ◽  
pp. 195
Author(s):  
Megersa Tadesse ◽  
Assefa Funga ◽  
Asnake Fikre ◽  
Tulu Degefu ◽  
Million Eshete ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Grain Yield ◽  
Seed Yield ◽  
Agricultural Research ◽  
Block Design ◽  
Crop Improvement ◽  
Yield Potential ◽  
Genetic Progress ◽  
Improvement Program ◽  
Rate Of Increase

The genetic progress in seed yield and yield related characters of 10 kabuli chickpea varieties released by the Ethiopian Chickpea Crop Improvement Program from 1974 to 2017 was assessed during the main cropping season. The varieties were evaluated in the Randomized Complete Block design at Debrezeit Agricultural Research Center experimental research farm. The overall increase in seed yield over the local check, DZ-10-4, was estimated to be 739 kg/ha (38.9%). On station grain yield increased from 1900 to 3250 kg/ha during the last 43 years and the overall increase in seed yield of the Arerti variety over the oldest variety DZ-10-4 was estimated to be 1350 kg/ha or 71.1%. Based on the regression analysis, the estimated average annual rate of increase in grain yield potential was 10.87kg/ha/year with an annual relative genetic change of 0.57%/year. Genotypic change was an important source for increased grain yield potential during the studied period. Positive genetic gains were observed for the yield traits (grain yield and yield components). The average cumulative gains over 43 years of breeding was, therefore, 445.67 kg (23.37%) for seed yield, and 30.26 g for hundred seeds weight (297.7%). Hundred seed weight revealed the most dramatic response to breeding for the last 43 years. It is, therefore, strategically advisable that breeding efforts in the future should give due attention to yield related traits of kabuli chickpea varieties.

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

Assessment of Genetic Variability and Traits Association in Pigeonpea [Cajanus cajan (L.) Millsp.] Germplasm

2021 ◽  
Author(s):  
C. Vanniarajan ◽  
P. Magudeeswari ◽  
R. Gowthami ◽  
S.M. Indhu ◽  
K.R. Ramya ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Seed Weight ◽  
Morphological Variability ◽  
Pigeon Pea ◽  
Colour Pattern ◽  
Genetic Advance ◽  
Next Generation ◽  
Improvement Program ◽  
Stem Colour

Background: Pigeon pea is an important dietary protein source for humans but the production was constrained by various biotic and abiotic factors. Breeding strategies were followed to improve yield and developing high yielding varieties but at the same time utilization of genetic resources have declined. Pigeon pea is native to India with huge natural genetic variability in the local germplasm and its wild relatives. So it is necessary to identify and select breeding material from germplasm with considerable genetic and morphological variability to utilize in breeding programmes. As an initial study, 200 pre-breeding lines developed were evaluated for morphological variability patterns.Methods: A total of two hundred lines selected from F4 generation of pigeon pea developed at ICAR-NBPGR were evaluated in Randomized Block design (RBD) during 2014-2015 kharif season under Indo-Swiss collaboration in Biotechnology at Agricultural College and Research Institute, Madurai (TNAU). The accessions found to be superior in seed yield than the local check APK1were forwarded to the next generation (2015-2016) for assessment of genetic variability, heritability, genetic advance and association studies.Result: Qualitative traits were evaluated and variation in leaflet shape, stem colour, pattern of streaks and base seed colour were observed. All tested lines expressed greater variability for most of the traits. Maximum coefficient of variation was observed for number of pods per plant followed by number of primary branches per plant. Selection of traits with moderate heritability coupled with high genetic advance like number of pods per plant, number of primary branches per plant could help in crop improvement program. Seed yield was positively correlated with number of seeds per pod, number of pods per plant and hundred seed weight. Potential genetic stocks and donors for high yield were selected based on hundred seed weight and seeds per pod. The accessions superior in number of pods and seed yield than check were forwarded to next generation for assessment. The identified trait-specific accessions will help in future breeding program.

Genotypes performance and genetic variability studies in Hot Chilli (Capsicum annum L.)

2015 ◽  
Author(s):  
Satish Kadwey ◽  
Ashwini Dadiga ◽  
Sunil Prajapati
Keyword(s):  
Genetic Variability ◽  
Seed Yield ◽  
Crop Improvement ◽  
Fruit Weight ◽  
Fruit Yield ◽  
Genetic Advance ◽  
Fruit Length ◽  
Capsicum Annum ◽  
Dry Fruit ◽  
Very High

Twenty five diverse chilli (Capsicum annuum L.) genotypes were evaluated in a field study to assess genetic variability, heritability and genetic advance. The highest PCV were recorded for number of fruit plant-1 (42.0), dry fruit yield plant-1 (30.34), seed yield plant-1 (28.94), fruit weight of dry chilli (23.38), number of primary branches plant-1 at 30 DAT (21.88) and fruit width (21.0). While, highest GCV was observed for number of fruit plant-1 (41.77), dry fruit yield plant-1 (29.61), seed yield plant-1 (27.67) and fruit weight of dry chilli (21.67), The value of heritability (h2bs) was found to be very high for fruit yield plant-1 (97.91), seed yield plant-1 (96.82), dry fruit yield plant-1 (95.24), days to first picking (94.88), fruit length (93.30), fruit weight of green chilli (93.26), fruit yield plot-1(92.91), fruit yield ha-1 (92.90) and fruit width (92.02). The highest estimates of genetic advance as percentage of mean was recorded for number of fruit plant-1 (45.59), fruit weight of dry chilli (41.38), fruit width (39.82), dry fruit yield plant-1 (39.52), seed yield plant-1 (38.70), fruit weight of green chilli (38.10), fruit yield plant-1 (37.33) and fruit length (36.78) were observed for these all the above characters, imply the potential for crop improvement in chilli through selection.

Study on genetic variability, heritability and genetic advance in Soybean[Glycine max (L.) Merrill]

2017 ◽  
Author(s):  
Ravindra Kumar Jain ◽  
Arunabh Joshi ◽  
Hem Raj Chaudhary ◽  
Abhay Dashora ◽  
Champa Lal Khatik
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Harvest Index ◽  
Block Design ◽  
Crop Improvement ◽  
Test Weight ◽  
Genetic Advance ◽  
High Heritability ◽  
Weight Number

Soybean, an important legume crop, serves as a good source of protein and oil with tremendous ability to fix atmospheric nitrogen for soil improvement. To study the genetic variability, genotypic, phenotypic and environmental coefficient of variation, broad sense heritability and genetic advance in soybean, a field experiment was conducted during Kharif 2013. The experiment, laid out in a randomized block design (RBD) with three replications, comprised of 24 genotypes and observations on 9 traits of soybean were recorded. In this experiment, analysis of variance indicated that significant variation were present among the different genotypes of the soybean for all the traits under study. The highest genotypic (GCV) and phonotypic coefficient of variation (PCV) were exhibited by the test weight, number of pods per plant, harvest index and plant height. The PCV was found higher than GCV which indicates the important role of environment in the expression of the characters. High heritability and high genetic advance were observed in the test weight, number of pods per plant, harvest index and plant height. The combination of the high heritability and high genetic advance provide the clear image of the trait in the selection process for crop improvement programme.

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