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.

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.

scholarly journals Genetic variability, heritability and genetic advance studies in pea (Pisum sativum L.) for quantitative characters

2019 ◽  
Author(s):  
Shalini Singh ◽  
Vinay Verma ◽  
B. Singh ◽  
V. R. Sharma ◽  
Mukesh Kumar
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Flowering Plant ◽  
Genetic Advance ◽  
Shell Weight ◽  
Node Number ◽  
Pod Yield ◽  
Quantitative Characters

An experiment was conducted to determine the magnitude of genetic variability, heritability and genetic advance as per cent of mean among fifty-five genotypes of pea using eleven quantitative characters viz., days to 50% flowering, plant height, number of first fruiting node, length of first fruiting node, number of pods per plant, length of pod, width of pod, number of seeds per pods, green pod yield per plant, seed yield per plant and shell weight per plant. The results of ANOVA showed significant differences among the genotypes for all the characters indicating the existence of wide spectrum of variability among the genotypes. The phenotypic coefficient of variation (PCV) was quite higher than the corresponding genotypic coefficient of variation (GCV). High value of GCV and PCV was recorded for seed yield per plant, number of pods per plant, shell weight per plant, green pod yield per plant, plant height, length of first fruiting node and number of first fruiting node. All the characters showed high magnitude of heritability in broad sense (>60%) ranged from 83.91% (width of pod) to 98.84% (number of pods per plant). Further, high heritability coupled with high genetic advance as percentage of mean (>20%) was observed for all the characters except days to 50 % flowering suggesting that these characters are genetically controlled by additive (heritable) gene action and can be utilized for pea improvement through selection. The genotypes which showed superior results for the objectives under study were VRP-383, VRP-311, VRP-320 and Kashi Shakti and can be utilized for further breeding programme of pea.

scholarly journals Genetic Variability Studies for Yield and Yield Contributing Traits in Rabi sorghum (Sorghum bicolor L. Moench) in Relation to Drought Tolerance

2021 ◽  
pp. 130-137
Author(s):  
Kesoju Ravali ◽  
J. E. Jahagirdar ◽  
Chetana Singin ◽  
Sheetal Tirkey ◽  
S. S. Deshmukh
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Crop Improvement ◽  
Breeding Program ◽  
Flowering Plant ◽  
Research Station ◽  
Total Biomass ◽  
Genetic Advance ◽  
Fodder Yield

Genetic variability studies were useful for effective selection in a crop species. Presence of desirable variation and the amount of that variation which is heritable is the primary requirement of any breeding program for the crop improvement. Therefore any breeding program for crop improvement depends majorly on the knowledge pertaining to genetic variability, heritability and genetic advance. The genetic variability study was carried out for yield and yield contributing traits in thirty-seven genotypes of rabi sorghum with three checks namely M 35-1, Phule Suchitra and CSV-22-R at Sorghum Research Station, V.N.M.K.V., Parbhani during rabi 2019. A randomized block design was used with three replications and these treatments were evaluated and data pertaining to eleven traits were recorded with the objective to estimate the genetic variability for the quantitative traits. This investigation revealed presence of highly significant differences among the genotypes indicating presence of large amount of variability in all the eleven characters studied. The study indicated presence of higher estimates of phenotypic coefficient of variation (PCV) for all the traits when compared to genotypic coefficient of variation (GCV) and these estimates are of lower magnitude. Among the forty genotypes studied VJV 107, VJV 106, PEC 30, RSV 1921, RSV 1945 and RSV 1984 were considered as the superior genotypes as these recorded better performance. Higher estimates of GCV and PCV were recorded for the traits; days to 50 per cent flowering, plant height, panicle length, panicle width, fodder yield per plant, biological yield per plant, harvest index and grain yield per plant indicating selection for higher values of these traits of sorghum would be effective. Whereas high heritability coupled with moderate to high genetic advance was observed for traits like plant height, fodder yield per plant and total biomass per plant.

scholarly journals ESTIMATING VARIABILITY, HERITABILITY, AND GENETIC ADVANCE OF RICE GENOTYPES IN MID-HILLS OF NEPAL

2021 ◽  
Vol 22 (2) ◽  
pp. 92
Author(s):  
Sashi Lamichhane ◽  
Nav Raj Adhikari ◽  
Bishwas K.C. ◽  
Sapana Thapa
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Grain Weight ◽  
Flowering Plant ◽  
Genetic Advance ◽  
Panicle Length ◽  
Breeding Programs ◽  
Significant Difference ◽  
Improvement Programs

<p>Rice is an essential staple food in Nepal but researches and varietal improvement programs are rarely carried out due to inadequate variability study. The field study was carried to diagnose the influence of genetic and environmental factors on yield traits to aid future rice breeding programs. Twelve genotypes were arranged in randomized complete block design with three replications from July to November 2019 at the research field of the Institute of Agriculture and Animal Science, Tribhuvan University, in the hilly area of Nepal. Analysis of variance showed significant difference for days to 50% booting, days to 50% flowering, plant height, panicle length, flag leaf area, filled grains per panicle, unfilled grains per panicle, fertility percentage, effective tillers m<sup>-2</sup>, straw yield, grain yield, 1000-grain weight, and harvesting index indicating the presence of variation in genotypes. LPN BR-1615 was the most promising genotype in grain yield. The values of Phenotypic Coefficient of Variation (PCV) were higher than Genotypic Coefficient of Variation (GCV) for each trait and low difference between them was found for days to 50% booting, days to 50% flowering, plant height, panicle length, grain yield, thousand-grain weight, fertility percentage, and harvesting index. Plant height, effective tillers m<sup>-2</sup>, and grain yield showed high heritability (i.e. 93.2%, 60.5% and 92.6%, respectively) and higher genetic advance as percentage of mean (i.e. 46.5, 34.6 and 50.1, respectively) . Thus, the experiment revealed that selections favoring plant height, effective tillers m<sup>-2</sup>, and grain yield would help in effective breeding programs of rice in future.</p>

Study on genetic variability and character association in soybean [Glycine max (L.) Merrill] germplasm at vindhyan zone of Uttar Pradesh

2016 ◽  
Vol 35 (1) ◽  
Author(s):  
Nutan Prateek Ekka ◽  
Gabrial M. Lal
Keyword(s):  
Correlation Analysis ◽  
Grain Yield ◽  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Flowering Plant ◽  
Phenotypic Correlation ◽  
Days To Maturity ◽  
Seed Index ◽  
Pod Length

The present research was conducted to analysis of variance was significant for all characters days to 50% flowering, plant height (cm), branches per plant, clusters per plant, pods per plant, days to maturity, pod length (cm), seeds per pod, seed index (100 seed weight), seed yield per plant (g). Based on the mean performance among 20 genotypes, SL-778 (17.86) followed by PS-1447 (11.54) were found to the best genotypes for seed yield per plant indicating the presence of amount of variation for these characters. High heritability was observed for grain yield per plant (95%) and number of pods per plant (94%). Moderate values of genetic advance was observed for pods per plant (13.25) followed by days to maturity (12.69). Genotypic correlation analysis indicates that pods per plant (0.748**), seed index (0.665**), clusters per plant (0.489**), plant height (0.485**) and pod length (0.481**) showed positive significant association with grain yield per plant. Phenotypic correlation analysis indicates that pods per plant (0.723**), seed index (0.586**), plant height (0.456**), clusters per plant (0.430*) and pod length (0.348*) showed positive significant association with seed yield per plant. The results indicated of phenotypic coefficient of variation (PCV) were slightly higher than those of genotypic coefficient of variation (GCV) for all the traits studied. Slight differences indicated minimum environmental influence and consequently greater role of factors on the expression of the traits.

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.

scholarly journals Study on genetic variability in some agro-morphological traits of Brassica rapa L. (Brown sarson) germplasm characterized under rainfed conditions of Kashmir, India

2017 ◽  
Vol 9 (4) ◽  
pp. 2344-2349
Author(s):  
Sheikh Mohammad Sultan
Keyword(s):  
Plant Height ◽  
Brassica Rapa ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Seed Weight ◽  
Morphological Traits ◽  
Genetic Advance ◽  
Breeding Programmes ◽  
High Heritability ◽  
Brown Sarson

36 Brassica rapa L. (Brown sarson) genotypes were characterized during two successive seasons of 2013/14 and 2014/15 along with two national checks (Puas Kalyani and GSL-2) and one local check variety (Shalimar-1) to assess the extent of variability and amount of variation in agro-morphological traits of plant height, number of primary branches/plant, days to 50% flowering, number of seeds/siliqua, seed yield/plant and 1000-seed weight. Important traits of plant height varied from 58.35 cm - 95.36 cm, seed yield/plant from 3.840 g - 18.470 g and 1000-seed weight from 2.746 g - 4.377 g. Analysis of variance revealed significant differences at 0.05 level of probability among different genotypes for these characters during a particular year while differences were non-significant in all the traits excepting days to 50% flowering when data of the two years was compared. Highest variability, phenotypic coefficient of variation (33.89%) and genotypic coefficient of variation (30.99%) were recorded for the trait seed yield/plant. High heritability coupled with high to moderate per cent genetic advance was recorded for seed yield/plant and 1000-seed weight indicating that these traits can be improved through simple selection. Moderate heritability with low genetic advance was observed in all other traits suggesting greater influence of environment. Promising donor genotypes for all these traits have been identified for possible utilization in breeding programmes in the region.

Studies on Variability Parameter and Character Association of Lentil Germplasms in West Bengal Condition

2020 ◽  
Author(s):  
P. Bhattacharjee ◽  
S. Kundagrami ◽  
A. Bhattacharjee
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Harvest Index ◽  
West Bengal ◽  
Block Design ◽  
Crop Improvement ◽  
Flowering Plant ◽  
Positive Direct ◽  
100 Seed Weight

Background: Lentil is the major cultivated pulse crop in the state of West Bengal in terms of total area coverage under cultivation. Selection of high yielding and better quality genotype is the prime vital matter to increase productivity. Investigation and a better understanding of the variability existing in a population base of the crop are pivotal to crop improvement so that the plant breeders can exploit it. Methods: The current study has been carried out at the experimental farm of the University of Calcutta during 2016-2017 in a plot designed with the randomized block design. It was carried out to estimate the magnitude of genetic variability, heritability and genetic advance of fifty-four lentil germplasms. Result: Moderate to high heritability, GCV, PCV, GA and GA % of mean was obtained by days to1st flowering, days to 50% flowering, pods per plant and harvest index. The genotypic and phenotypic association of seed yield was significantly positive with traits like plant height, pods/plant, 100 seed weight and harvest index. Characters like days to 50% flowering, plant height, primary branches per plant, pods/plant, pod length, 100 seed weight and harvest index shows a positive direct effect on seed yield in path analysis suggesting select for such traits while exercising selection for seed yield per plant in lentil.

scholarly journals Variability, Heritability and Genetic Advance for Yield and Yield Contributing Characters in Tomato (Lycopersicon esculentum Mill.)

2013 ◽  
Vol 19 (1) ◽  
pp. 1-5 ◽  
Author(s):  
MSR Khanom ◽  
MHK Khan ◽  
L Hassan
Keyword(s):  
Plant Height ◽  
Coefficient Of Variation ◽  
Dry Matter ◽  
Phenotypic Expression ◽  
Fruit Weight ◽  
Matter Content ◽  
Flowering Plant ◽  
Dry Matter Content ◽  
Genetic Advance ◽  
Number Of Seeds

The experiment was conducted during rabi season, 2003-2004 at the Field Laboratory of the Department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh. Genotypic variability, heritability and genetic advance for yield and yield contributing characters were studied on 55 tomato genotypes. Data were recorded on number of primary branches per plant, days to first flowering, plant height, number of bunches per plant, number of fruits per plant, individual fruit weight, number of seeds per fruit, dry matter content of fruits, pH level of fruit juice and yield per plant. Very little differences were observed between genotypic coefficient of variation and phenotypic coefficient of variation for all the characters except dry matter content and yield per plant indicating that they were less influenced to environmental factors for their phenotypic expression. High heritability estimates coupled with high genetic advance in percentage of mean were obtained for number of primary branches per plant, number of days to first flowering, plant height, number of bunches per plant, number of fruits per plant, individual fruit weight and number of seeds per fruit indicating wide scope for improvement through selection of these traits.DOI: http://dx.doi.org/10.3329/pa.v19i1.16982 Progress. Agric. 19(1): 1 - 5, 2008 

Study onGenetic Variability, Heritability and Genetic Advance for Seed Yield and Component Traits in Rice

2017 ◽  
Vol 4 (03) ◽  
Author(s):  
PUNIT KUMAR ◽  
VICHITRA KUMAR ARYA ◽  
PRADEEP KUMAR ◽  
LOKENDRA KUMAR ◽  
JOGENDRA SINGH
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Seed Yield ◽  
Flag Leaf ◽  
Grain Weight ◽  
Major Influence ◽  
Genetic Advance ◽  
Component Traits ◽  
Biological Yield ◽  
1000 Grain Weight

A study on genetic variability, heritability and genetic advance for seed yield and component traits was made in 40 genotypes of riceduring kharif 2011-2012 at SHIATS, Allahabad. The analysis of variance showed highly significant differences among the treatments for all the 13 traits under study.The genotypes namely CN 1446-5-8-17-1-MLD4 and CR 2706 recorded highest mean performance for panicles per hill and grain yield. The highest genotypic and phenotypic variances (VG and VP) were recorded for spikelets per panicle (3595.78 and 3642.41) followed by biological yield (355.72 and 360.62) and plant height (231.48 and 234.35).High heritability (broad sense) coupled with high genetic advance was observed for plant height, flag leaf length, panicles per hill, tillers per hill, days to maturity, spikelet’s per panicle, biological yield, harvest index, 1000 grain weight and grain yield, indicating that selection will be effective based on these traits because they were under the influence of additive and additive x additive type of gene action. Highest coefficient of variation (PCV and GCV) was recorded for tillers per hill (18.42% and 17.23%), panicle per hill (19.76 % and 18.68%), spikelet’s per panicle (34.30 and34.07 %), biological yield (28.31 % and 28.12 %), 1000 grain weight (15.57 % and 15 31 %) and grain yield (46.66% and 23.54 %), indicating that these traits are under the major influence of genetic control, therefore the above mentioned traits contributed maximum to higher grain yield compared to other traits, indicating grain yield improvement through the associated traits.

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