scholarly journals Elucidation of Genetic Parameters Controlling Yield and Quality Traits in Rice (Oryza sativa L.)

Author(s):  
S. Saravanan ◽  
R. Sushmitha ◽  
M. Arumugam Pillai

Background: Forty two crosses involving seven lines and six testers were studied for economically important yield contributing and quality traits to test the magnitude of genetic components and diversity. Formulation of efficient breeding methodology is possible by targeting the genetic architecture of genotypes. Methods: The systematic breeding programme involves generating genetic variability besides sorting off the diverse genotypes and utilizing the extreme phenotypes for producing stable varieties. Genetic diversity helps to achieve the greater continuum of genetic variability in segregating populations to reach for ideal selection of progenies. Heritability and genetic advance are other important selection parameters for retrieving better genotype through selection. Result: Significant differences in analysis of variance were recorded for all the traits. The results signified the greater value of phenotypic coefficient of variation (PCV) than genotypic coefficient of variation (GCV) and environment coefficient of variation (ECV) pertaining to the test traits studied. Among agronomical characters, the GCV and PCV were reported to be in higher estimate for number of productive tillers per plant, number of grains per panicle, single plant yield and among quality characters for gelatinization temperature (GT), length breadth (LB) ratio, gel consistency and amylose content. The present study adverted that among the yield and grain quality characters viz., number of productive tillers, number of grains per panicle, single plant yield, plant height, 1000 grain weight, milling percentage and grain length could be easily inherited to next generation due to high heritability. Whereas breadth elongation ratio and linear elongation ratio are influenced by environmental factors due to their low heritability. Further, the number of productive tillers, number of grains per panicle, single plant yield, plant height, Gel consistency and amylose content exhibited higher PCV, GCV, heritability and genetic advance and hence direct selection can be made for target traits.

2019 ◽  
Vol 38 (4) ◽  
Author(s):  
K. Subbulakshmi ◽  
R. Ravikesavan ◽  
C. Babu ◽  
K. Iyanar

Pearl millet (Pennisetum glaucum (L.) R. Br.) is an important millet crop of semi-arid regions in India and Africa. To study the genetic variability present among the newly effected fifty four hybrids an experiment was conducted in randomized block design with three replication. Yield parameters viz., days to fifty per cent flowering, plant height, number of productive tillers, ear head length, ear head girth, test weight, single head grain weight, single plant yield and quality traits such as crude protein, crude fibre, beta carotene, iron and zinc were studied. The phenotypic coefficient of variation (PCV) was greater than genotypic coefficient of variation (GCV) for all the characters studied which shows the little influence of environment. High phenotypic (PCV) and genotypic variability (GCV) was obtained for plant height, single plant yield, single head grain weight, crude fibre, beta carotene content, iron and zinc. Highest heritability (h2) conjunction with genetic advance (GA) was observed for all the characters studied and moderate for number of productive tillers per plant and earhead girth Therefore, the presence of high variability among the genotypes can be utilized for nutritional enrichment in future millet breeding programs.


2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Massaoudou Hamidou ◽  
Abdoul Kader M. Souley ◽  
Issoufou Kapran ◽  
Oumarou Souleymane ◽  
Eric Yirenkyi Danquah ◽  
...  

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.


2018 ◽  
Vol 10 (2) ◽  
pp. 797-804
Author(s):  
Satnam Singh Nagar ◽  
Pradeep Kumar ◽  
S.R. Vishwakarma ◽  
Gyanendra Singh ◽  
B. S. Tyagi

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.


2016 ◽  
Vol 8 (3) ◽  
pp. 1634-1637
Author(s):  
Pravin Kumar Sharma ◽  
D. P. Mishra ◽  
Amit Pandey

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.


2021 ◽  
Vol 108 (december) ◽  
Author(s):  
Manju Devi S ◽  
◽  
Jayamani P ◽  
Kumar M ◽  
◽  
...  

The present study was carried out using 189 pre-breeding lines from the cross VBN (Bg) 5 and Vigna mungo var silvestris 22/10 to study the genetic variability for nine yields and six seed traits. Significant variability was observed for all the traits studied. The phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all the 15 traits. High PCV was observed for number of pods per plant, seed volume, and single plant yield. The moderate to high GCV was exhibited for hundred seed weight, plant height, number of pods per plant, seed volume, and single plant yield. The heritability estimates were high for pod length, plant height, seed length, hundred seed weight, single plant yield, bulk density, seed length-width ratio and seed width. The traits viz., plant height, hundred seed weight, and single plant yield showed high heritability along with high genetic advance as per cent of mean respectively, which might be due to additive gene action. Hence, these traits could act as a better source for the breeding programme for evolving high-yielding bold seeded varieties.


2018 ◽  
Vol 10 (2) ◽  
pp. 773-778
Author(s):  
Channappagouda Patil ◽  
Deepak Koujalagi

The aim of the present investigation was to estimate the genetic variability parameters in Wheat (Triticum dicoccum) F2 population of the cross DDK1025 X ML-1. The traits involved in study were grain yield, threshability, rachis percent and other yield contributing traits such as tiller number, number of grains per spike, number of spikelet’s per spike, etc. and the genetic variability parameters estimated are mean, range, Phenotypic coefficient of variation (PCV), Genotypic coefficient of variation (GCV), heritability and genetic advance over mean. The results obtained from the study reveals higher mean and wider range for all the traits especially for plant height, tiller number, spikelets per spike, number of grains per spikelet, spike length, grain yield per plant, threshability and rachis. High degree of PCV with moderate GCV was observed for the traits like number of tiller per plant (20.96 PCV and 15.96 GCV), number of grains per spike (21.92 PCV and 18.79 GCV), rachis % (22.5 PCV and 19.10 GCV) and grain yield per plant (20.07 PCV and 18.10) . Heritability and genetic advance was recorded to high for all the traits in both the populations. On the basis of an overall consideration of the genetic variability parameters it may be concluded that F2 population of the cross, DDK-1025 x ML-1 have the potential source for improving the yield and its associated traits and also offering some scope in altering the plant height.


Author(s):  
Ravindra Kumar Jain ◽  
Arunabh Joshi ◽  
Hem Raj Chaudhary ◽  
Abhay Dashora ◽  
Champa Lal Khatik

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.


2020 ◽  
Vol 18 (1) ◽  
pp. 1-9
Author(s):  
Mohammad Zahidul Islam ◽  
Nadia Akter ◽  
Md Ferdous Rezwan Khan Prince ◽  
Nashirum Monir ◽  
Mohammad Khalequzzaman

The present investigation consists of 47 rice genotypes and the experiment was conducted during Aus season, 2016 in Randomized Block Design with three replications. The data were recorded for 13 quantitative characters to study genetic variability, heritability, genetic advance, correlation coefficient analysis and path analysis. Analysis of variance among 47 genotypes showed a significant difference for all characters studied. The highest genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were observed for grain yield followed by the number of effective tillers, the number of filled grains per panicle and 1000 grain weight indicating that these characters could be used in selection for the crop improvement program. High estimates of heritability was observed for grain yield, grain length, plant height, number of filled grain per panicle, 1000 grain weight and days to 50% flowering. High genetic advance was observed for the number of filled grains per panicle and plant height, indicating predominance of additive gene effects and possibilities of effective selection for the improvement of these traits. Grain yield showed positive association with number of effective tiller and number of filled grain per panicle at genotypic in conjunction with phenotypic level. Days to maturity possessed the highest positive direct effect and significant indirect correlation with yield. The Agriculturists 2020; 18(1) 01-09


2019 ◽  
Vol 56 (4) ◽  
pp. 411-415
Author(s):  
A Yuvaraja ◽  
P Gokulvigneswaran ◽  
S Suriya Praba ◽  
V Nirubana

The second filial generation of cross WGL 14 X CO47 was evaluated for its genetic potential of segregation during kharif 2018. The data were recorded on seven biometrical traits viz., days to flowering, plant height, panicle length, number of tillers/plant, number of productive tillers/plant, duration and single plant yield and three grain quality traits viz., grain length, grain breadth and length- breadth ratio.Wide range of variability was observed in number of tillers/plant, number of productive tillers/plant and single plant yield. The range for the characters days to 50 % flowering, number of productive tillers per plant, panicle length, single plant yield and duration expressed higher variations and offered scope for selection.The phenotypic variability is high in the population studied in comparison with genotypic variability conferring that environmental influence is present for the expression of traits. These characters have also manifested high heritability estimates with low or medium genetic advance as percent of mean. Correlation studies revealed that single plant yield exhibited a positive association with the number of productive tillers/plant, plant height and panicle length. The traits viz., days to 50 % flowering, grain length, grain breadth and grain length breadth ratio recorded negative association with single plant yield.Selection of entries based on number of productive tillers on positive side can improve single plant yield in this population.


Author(s):  
Shalini Singh ◽  
Vinay Verma ◽  
B. Singh ◽  
V. R. Sharma ◽  
Mukesh Kumar

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.


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