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 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 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.

scholarly journals Evaluation of durum wheat (Triticum turgidum) genotypes for genetic variability, heritability, genetic advance and correlation studies

2020 ◽  
Vol 3 (2) ◽  
pp. 150-159
Author(s):  
Geleta Gerema
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Durum Wheat ◽  
Coefficient Of Variation ◽  
Triticum Turgidum ◽  
Kernel Weight ◽  
Genotypic Differences ◽  
Genetic Advance ◽  
Breeding Programmes ◽  
High Heritability

The present investigation was undertaken to study the genetic variability, heritability and correlation coefficient analysis for 7 metric traits in 12 durum wheat genotypes at western Oromia during 2015-2018. Significant genotypic differences were observed for the majority traits studied, indicates considerable amount of variation among genotypes for each character. The estimates of genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were high for kernels per spikelet, thousand kernels weight, and number of kernels per spike and grain yield. The remaining traits were ranged from low to moderate estimates. High heritability estimates were recorded for the majority traits studied.  The estimated broad – sense heritability (h2) has ranged from 31.6% for maturity to 80.8% for grain yield. High genetic advance combined with high heritability was recorded for plant height, thousand kernel weight, kernels per spike and grain yield, indicates that most likely selection based on phenotype of genotypes could be effective to improve these characters. Grain yield was positively and significantly correlated with spike length, kernels per spike and thousand kernels weight both at genotypic and phenotypic levels. The strong correlation of grain yield with the mentioned traits showed that grain yield could be indirectly improved through improving these traits. This information might be used in the genetics and breeding programmes for improvement of durum wheat.

scholarly journals Variability, Heritability, Genetic Advance and Interrelationships for Agronomic and Yield Traits of Sorghum B-Lines under Different Environments

2018 ◽  
pp. 1-13
Author(s):  
A. M. M. Al-Naggar ◽  
R. M. Abd El-Salam ◽  
M. R. A. Hovny ◽  
Walaa Y. S. Yaseen
Keyword(s):  
Grain Yield ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Selection Criterion ◽  
Genetic Advance ◽  
Planting Dates ◽  
High Heritability ◽  
Selection For ◽  
Strength Of Association ◽  
B Lines

Information on heritability and trait association in crops assist breeders to allocate resources necessary to effectively select for desired traits and to achieve maximum genetic gain with little time and resources. The objectives of this investigation were to determine the amount of genetic variability, heritability, genetic advance and strength of association of yield related traits among sorghum lines under different environments in Egypt. Six environments with 25 sorghum B-lines were at two locations in Egypt (Giza and Shandaweel) in two years and two planting dates in one location (Giza). A randomized complete block design was used in each environment with three replications. Significant variation was observed among sorghum lines for all studied traits in all environments. Across environments, grain yield/plant (GYPP) showed positive and significant correlations with number of grains/plant (r = 0.71), days to flowering (r = 0.47), 1000-grain weight (r = 0.16) and plant height (PH) (r = 0.19). In general, the estimates of phenotypic coefficient of variation (PCV) were higher than genotypic coefficient of variation (GCV). Combined across the six environments, the highest PCV and GCV was shown by PH trait (95.14 and 43.57%) followed by GYPP (36.42 and 30.78%), respectively, indicating that selection for high values of these traits of sorghum would be effective. GYPP and PH traits showed high heritability associated with high genetic advance from selection, indicating that there are good opportunities to get success in improvement of these traits via selection procedures. Results concluded that PH is good selection criterion for GYPP and therefore selection for tall sorghum plants would increase grain yield.

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 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, 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 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 Evaluation and Correlation Analysis Among Various Quantitative Traits in Maize Single-Cross Hybrids Under Diverse Environments

2021 ◽  
Vol 13 (5) ◽  
pp. 104
Author(s):  
Fortunate Makore ◽  
Cosmos Magorokosho ◽  
Shorai Dari ◽  
Edmore Gasura ◽  
Upenyu Mazarura ◽  
...  
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Strong Positive Correlation ◽  
Genetic Advance ◽  
Positive Correlation ◽  
Grain Moisture ◽  
High Heritability ◽  
Ear Height ◽  
Positive Direct

Genetic variation abundance, high genetic advance coupled with high heritability estimates presents the most suitable condition for selection. Ninety-five hybrids generated from elite and new inbred lines crossed using half diallel mating design were evaluated under diverse environments. The objectives were to estimate genetic variances, heritability of traits and genetic advance and to determine correlations of grain yield and its component characters in maize hybrids. Analysis of variance revealed significant differences among genotypes for all traits studied except for ear rots. Estimates of phenotypic coefficient of variation were slightly higher than genotypic coefficient of variation for all traits suggesting low influence of environment in the expression of these traits. High heritability and genetic estimates were recorded for grain yield (79%; 30.27%), plant height (85%; 102.42%) and ear height (86%; 117.15%) whilst high heritability and low genetic advance were observed for anthesis date (87%; 5.8%), texture (75%; 8%) and ear position (71%; 0.23%). Correlation between environments using grain yield data revealed existence of a very strong positive correlation between CIMMYT2 and RARS2 suggesting that the sites have the same discriminating effect. Correlation among traits revealed that grain yield had significant (P < 0.05) positive correlation with plant height and ear height. Similarly, plant height had significant and positive correlation with ear height while ear position was positively correlated to ear height. Path analysis showed that plant height, ears per plant and ear position had positive direct effects on grain, while anthesis date, ear height, ear position, grain moisture content at harvest and texture indirectly influenced grain yield. These characters’ contribution to grain yield is important and the strong association with grain yield implied that these can be used as secondary traits to indirectly select for grain yield performance in this set of germplasm across all the environments.

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