Evaluation and genetic analysis of common bean genotypes (Phaseolus vulgaris L.) at Dibatie and Mandura, Northwestern Ethiopia

2021 ◽  
Vol 7 (5) ◽  
pp. 82-90
Author(s):  
Gezahegn Tefera ◽  
Keyword(s):  
Genetic Variability ◽  
Common Bean ◽  
Coefficient Of Variation ◽  
Environmental Variability ◽  
Genetic Constitution ◽  
Genetic Advance ◽  
Breeding Programs ◽  
Days To Flowering ◽  
Lattice Design ◽  
Component Traits

Assessing and understanding the variations existing in crops due to genetic composition and environmental variability is very important in order to exploit the genetic constitution of crop plants. To this aim, variability measures such as phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) are commonly used. Heritability and genetic advance are major concerns for common bean to identify important traits for common bean genetic improvement. The field experiment was conducted at Mandura and Dibatie research substations working with sixteen genotypes of the common bean during 2017/2018 in lattice design with three replications to evaluate the performance of common bean genotypes and estimate the genetic variability. Heritability and genetic advance were estimated in relation to yield and its component traits for future breeding programs. Combined analysis of variance across locations revealed highly significant variations among genotypes for all traits under study. The PCV ranged from 3.36% for days to flowering to 15.91% for a number of pods per plant while the GCV value ranged from 0.75% for days to flowering to 13.74% for the number of pods per plant. Broad sense heritability values ranged from 5.00% for days to flowering to 84.61% for a hundred seed weight. Generally, the result of the study showed that significant genetic variability among tested genotypes and a simple selection for effective improvement of these traits. Keywords: common bean, genetic variability, genetic advance, heritability

scholarly journals Assessment of genetic variability and character association for grain yield and its component traits in bread wheat (Triticum aestivum L.)

2018 ◽  
Vol 10 (2) ◽  
pp. 797-804
Author(s):  
Satnam Singh Nagar ◽  
Pradeep Kumar ◽  
S.R. Vishwakarma ◽  
Gyanendra Singh ◽  
B. S. Tyagi
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Harvest Index ◽  
Spike Length ◽  
Genetic Advance ◽  
Component Traits ◽  
Biological Yield ◽  
1000 Grain Weight

A study was conducted for estimating genetic variability and characters association for eleven yield components using 169 genotypes (13 parents, 78 F1 and 78 F2) of bread wheat through half-diallel mating design during rabi season 2012-13 and 2013-14. The genetic variability, heritability in broad sense, genetic advance, correlation coefficients and path analysis were carried out for the assessment of genotypes through eleven yield component traits namely; days to 50% flowering, days to maturity, plant height, spike length, number of effective tillers per plant, number of grains per spikelet, number of grains per spike, 1000-grain weight, biological yield per plant, harvest index and grain yield per plant. Analysis of variance showed significant differences (at1% level of significance) for all the traits under study in both the generations (F1 and F2). The phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were high for plant height followed by number of effective tillers per plant, biological yield per plant, grain yield per plant, while high heritability coupled with high genetic advance were recorded for plant height and spike length in both F1 and F2 generations, respectively. Grain yield per plant was positively and significantly associated with a number of effective tillers per plant, spike length, number of grains per spike, 1000-grain weight, biological yield per plant and harvest index while significantly but negatively associated with plant height. Path analysis revealed that the traits namely biological yield per plant, number of effective tillers per plant, number of grains per spike, plant height and harvest index exhibited positive direct effects on grain yield at both phenotypic and genotypic level in both generation (F1 and F2). These results, thereby suggests that yield improvement in breads wheats could be possible by emphasizing these traits while making selections in early generations.

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 Studies on Genetic Variability Parameter under Artificial Epiphytotic Condition for Leaf Rust in Bread Wheat (Triticum aestivum L.)

2019 ◽  
pp. 1-7
Author(s):  
Ashutosh Kumar ◽  
Yashavantha Kumar Kakanur ◽  
Suma Biradar ◽  
Srinivas A. Desai ◽  
T. N. Satisha ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Bread Wheat ◽  
Coefficient Of Variation ◽  
Breeding Programme ◽  
Genetic Advance ◽  
Advanced Backcross ◽  
Slow Rusting ◽  
Component Traits ◽  
High Heritability

Present investigation was conducted to study the genetic variability for grain yield, its component traits and slow rusting component in advanced backcross segregating lines of bread wheat at AICRP on wheat, MARS, UAS, Dharwad, Karnataka during Rabi season of 2015-2016. The study revealed highly significant differences for the yield, its component traits and for slow rusting components, indicating the presence of sufficient genetic variability in these lines which is basis for the effective selection in any breeding programme. High genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) values coupled with high heritability and high genetic advance over mean were recorded for some of the studied traits such as grain yield per plant and no. of productive tillers per plant. Also high PCV and GCV along with high heritability and high genetic advance over mean (GAM) was found for the slow rusting components. The presence of sufficient variability along with high heritability for all these traits indicates that simple phenotypic selection for these traits may be effective for genetic improvement of these traits. Hence based on present findings it can be concluded that practicing selection considering the traits like productive tillers per plant, grain yield per plant along with slow rusting components will be more beneficial for achieving durable type of resistance in future breeding programme.

scholarly journals Genetic Variability, Character Association and Path Analysis in Boro Rice (Oryza sativa L.) Germplasm from Bangladesh

2019 ◽  
Vol 22 (1) ◽  
pp. 35-43
Author(s):  
MZ Islam ◽  
T Chakrabarty ◽  
N Akter ◽  
ESMH Rashid ◽  
M Khalequzzaman ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Coefficient Of Variation ◽  
Oryza Sativa L ◽  
Block Design ◽  
Crop Improvement ◽  
Leaf Length ◽  
Component Traits ◽  
High Heritability ◽  
Positive Significant Correlation ◽  
Boro Rice

The success of varietal development programmme largely depends on the nature and magnitude of genetic variability, heritability and characters association of the crop. The objective of the present study was to estimate the extent of genetic variability and relation between yield and related characters of rice. Forty Boro rice germplasm were evaluated in a randomised complete block design with three replications. Analysis of variance indicated significant differences among the genotypes for 14 quantitative characters. The presence of slightly higher phenotypic coefficient of variation than genotypic coefficient of variation indicated the negligible influence of environment on the expression of yield and its component traits. Leaf length, days to flowering, days to maturity and 1000 grain weight showed highly positive significant correlation present with yield hill-1. High heritability had been observed for yield contributing traits during the study, suggested that these traits would respond to selection owing to their high genetic variability and transmissibility. Therefore, a thorough understanding of the inheritance of traits, their heritability and relationship with other important characteristics is important for the choice of breeding and selection methods for crop improvement. Bangladesh Rice j. 2018, 22(1): 35-43

scholarly journals Genetic Variability and Its Implications on Early Generation Sorghum Lines Selection for Yield, Yield Contributing Traits, and Resistance to Sorghum Midge

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Massaoudou Hamidou ◽  
Abdoul Kader M. Souley ◽  
Issoufou Kapran ◽  
Oumarou Souleymane ◽  
Eric Yirenkyi Danquah ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Resistant Variety ◽  
Genetic Advance ◽  
Planting Dates ◽  
Sorghum Midge ◽  
High Heritability ◽  
Panicle Weight

Sorghum is the second most important cereal crop in Niger. The crop is grown in a wide range of ecological environments in the country. However, sorghum grain yield in Niger is limited by both abiotic and biotic constraints. Recombinant inbred lines derived from the cross of a local variety with a midge resistant variety and two local checks were evaluated during the 2015 rainy season across two planting dates in two environments in Niger. The objective was to investigate genetic variability for yield, yield related traits, and resistance to sorghum midge. High phenotypic coefficient of variation (PCV) versus genotypic coefficient of variation (GCV) was observed in both sites and planting dates. Across planting dates at both Konni and Maradi, grain yield, plant height, panicle weight, and midge damage had high heritability coupled with high estimates of genetic advance. At Konni, high genetic advance coupled with high heritability was detected for grain yield, plant height, panicle weight, and resistance to midge. There were similar results at Maradi for grain yield, plant height, and panicle weight. Therefore, selection might be successful for the above characters in their respective environments.

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>

scholarly journals Genetic variability studies for yield and its contributing traits in okra [Abelmoschus esculentus (L.) Moench]

2016 ◽  
Vol 8 (3) ◽  
pp. 1634-1637
Author(s):  
Pravin Kumar Sharma ◽  
D. P. Mishra ◽  
Amit Pandey
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Fruit Weight ◽  
Abelmoschus Esculentus ◽  
Genetic Advance ◽  
Wide Range ◽  
High Heritability ◽  
Range Of Variation ◽  
Genotypic Coefficient Of Variation

The experiment comprising 30 okra (Abelmoschus esculentus) genotypes were grown and analysed for yield and its attributing traits at the Department of Vegetable science, Kumarganj, Faizabad during Zaid (2011) period. All the characters studied showed a wide range of variation. The variability for yield among the accessionsevaluated was also remarkable. The magnitude phenotypic coefficient of variation was higher than genotypic coefficient of variation for all traits. Both phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were high for plant height (11.10 and 10.60, respectively). Fruit weight exhibited low value of GCV (2.31) and PCV (4.74) and likely to show less response under selection. High heritability (91.3) with high genetic advance (26.74) was recorded for plant height, whereas, ridges per fruit had high heritability (97.0) with moderate genetic advance (18.45). This study aimed to evaluate okra genotypes for variability with a view to providing information on the development of high yielding genotypes to meet the growing food demand of the populace.

scholarly journals GENETIC VARIABILITY, HERITABILITY AND GENETIC ADVANCE IN POINTED GOURD (Trichosanthes dioica Roxb.)

2007 ◽  
Vol 20 (1) ◽  
pp. 47-52
Author(s):  
M. A. Malek ◽  
M. A. Bari Miah ◽  
M. O. Islam ◽  
A. M. M. Mosiul Hoque ◽  
R. Gomes
Keyword(s):  
Genetic Variability ◽  
Coefficient Of Variation ◽  
Fruit Yield ◽  
Broad Sense ◽  
Genetic Advance ◽  
High Heritability ◽  
Trichosanthes Dioica ◽  
Pointed Gourd ◽  
Genotypic Coefficient Of Variation

Genetic variability, heritability in broad sense and expected genetic advance as percent of mean for fruit yield and nine characters were studied in 25 pointed gourd genotypes. Fruits per plant and fruit yield per plant showed maximum variability. Genotypic coefficient of variation was found high for fruit yield and number of fruits per plant. All the characters under study were highly heritable in nature. High heritability coupled with high genetic advance was observed for fruit yield and fruits per plant, which indicated that these characters are more reliable for effective selection.DOI: http://dx.doi.org/10.3329/bjpbg.v20i1.17026

scholarly journals Genetic variability, heritability, genetic advance and correlation among yield and yield components of rice (Oryza sativa L.)

2018 ◽  
Vol 1 (1) ◽  
pp. 149-160 ◽  
Author(s):  
Bhim Nath Adhikari ◽  
Bishnu Prasad Joshi ◽  
Jiban Shrestha ◽  
Naba Raj Bhatta
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Yield Components ◽  
Genetic Advance ◽  
Panicle Length ◽  
Thousand Grain Weight ◽  
Straw Yield ◽  
Days To Flowering ◽  
Genotypic Coefficient Of Variation

This study was conducted during summer 2015 at Regional Agriculture Research Station, Dipayal, Doti, Nepal to estimate the genotypic and phenotypic variability, heritability, genetic advance and correlation on grain yield and yield associated traits using 26 advance genotypes of lowland irrigated rice. Analysis of variance revealed the existence of significant difference for days to flowering, maturity, plant height, panicle length, thousand grain weight and grain yield. High heritability was estimated for days to flowering (0.88), maturity (0.79), thousand grain weight (0.48) and plant height (0.43) suggesting these traits are under high genetic control. High phenotypic variation was observed for grain yield (24.87%), number of grains/panicle (22.45%), number of panicles/m2 (20.95%) and straw yield (20.75%) while grain yield had medium (12.02%) and remaining traits showed low genotypic coefficient of variation (<10%). High phenotypic coefficient of variation estimated as compared to genotypic coefficient of variation showed environmental influence on the expression of traits. Grain yield (11.98) and days to flowering (10.32) showed medium and remaining traits sowed low genotypic advance as percent of mean. High to low heritability with moderate to low genotypic advance as percent of mean suggested these traits were governed by non additive gene thus direct selection is not beneficial. Further improvements on yield potentiality and yield traits on these genotypes are suggested by creating variation and selection. Panicle length (r = 0.230), days to flowering (r = 0.247), effective tillers (r = 0.488) and straw yield (r = 0.846) manifested significant positive association with grain yield indicating that yield can be increased if selection applied in favor of those yield components.

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