Estimate of genetic parameters and correlation coefficient analysis for yield and its traits in bread wheat (Triticum aestivum L.)

2019 ◽  
Vol 4 (02) ◽  
pp. 135-139
Author(s):  
Ravi Kumar ◽  
Anant Kumar ◽  
Joginder Singh
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Plant Height ◽  
Harvest Index ◽  
Flag Leaf ◽  
Grain Weight ◽  
Genetic Advance ◽  
Days To Maturity ◽  
Biological Yield ◽  
1000 Grain Weight

Genetic variability, heritability, genetic advance and correlation coefficients were studied in 104 genotypes of wheat genotypes for yield and yield contributing traits. Both GCV and PCV were found to be moderate for flag leaf area, biological yield per plant, grain yield per plant and ash content. The days to ear emergence, days to maturity, plant height, harvest index and 1000-grain weight low GCV and PCV values were observed. Number of productive tillers per plant and spike length recorded moderate value of PCV and low value of GCV. High estimate of heritability in narrow sense was recorded for number of productive tillers per plant, biological yield per plant, harvest index and grain yield per plant, while it was moderate for days to ear emergence, days to maturity, plant height, flag leaf area, spike length, grains per spike and low heritability were recorded for 1000-grain weight. High heritability coupled with high genetic advance in per cent of mean was recorded for biological yield per plant and grain yield per plant. Grain yield per plant exhibited highly significant and positive association with 1000-grain weight, harvest index, biological yield per plant, grains per spike, number of productive tillers per plant and days to maturity.

scholarly journals Estimation of genetic parameters of yield and yield traits in wheat genotypes under rainfed conditions

2015 ◽  
Vol 4 (2) ◽  
pp. 193-205 ◽  
Author(s):  
Imran Khan ◽  
Fida Mohammad ◽  
Fahim Ullah Khan
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Plant Height ◽  
Harvest Index ◽  
Flag Leaf ◽  
Grain Weight ◽  
Days To Heading ◽  
Days To Maturity ◽  
Biological Yield ◽  
1000 Grain Weight

Development of superior crop varieties is the prime objectives of all plant breeding programs. To determine genetic variability, heritability and genetic advance, 24 elite bread wheat lines were planted in randomized complete block design with three replications at the University of Agriculture, Peshawar under rainfed conditions. Data were recorded on days to heading, days to maturity, plant height (cm), flag leaf area (cm-2), spike length (cm), grain yield (kg ha-1), biological yield (kg ha-1), 1000 grain weight (g), grains spike-1, grain weight spike-1(g), and harvest index (%). Analysis of variance revealed significant differences among genotypes for all the traits studied. Broad sense heritability was high for days to heading (0.89), grain weight spike-1(0.61g), spike length (0.70 cm), 1000-grain weight (0.62g), grain yield (0.78 kg ha-1) and harvest index (0.62%); and was moderate for days to maturity (0.52), plant height (0.38 cm), and grains spike-1 (0.49), while low heritability was estimated for spike weight (0.25g), flag leaf area (0.28 cm-2) and biological yield (0.25 kg ha-1). The values of genetic advance for days to heading, days to maturity, plant height, spike length, grains spike-1, grain weight spike-1, 1000-grain weight, grain yield, biological yield, flag leaf area, and harvest index were; 5.47, 1.88, 4.01, 6.42, 0.16, 5.02, 0.71, 418.83, 379.64, 2.89 and 3.92, respectively. Genotype PR 105 surpassed all other genotypes in grain yield (3144.33 kg ha-1) and hence it can be recommended for rainfed area. DOI: http://dx.doi.org/10.3126/ije.v4i2.12637 International Journal of Environment Vol.4(2) 2015: 193-205

scholarly journals Evaluation of F4 Bread Wheat (Triticum aestivum l.) Genotypes for Genetic Variability, Heritability, Genetic Advance and Correlation Studies

2018 ◽  
Vol 6 (1) ◽  
pp. 01-07 ◽  
Author(s):  
Amir Sohail ◽  
Hidayatur Rahman ◽  
Farhat Ullah ◽  
Syed M.A. Shah ◽  
Tanvir Burni ◽  
...  
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Harvest Index ◽  
Flag Leaf ◽  
Grain Weight ◽  
Spike Length ◽  
Genetic Advance ◽  
Days To Heading ◽  
Biological Yield ◽  
1000 Grain Weight

This research was carried out to check genetic variability, heritability and genetic advance in 11 F4 bread wheat (Triticum aestivum L.) genotypes (10 F4 lines and one check) in a randomized block design with three replications at the University of Agriculture Peshawar, Pakistan during 2015-16. Data was/were taken on parameters such as days to heading (days), plant height (cm), flag leaf area (cm2), spike length (cm), grain weight spike-1 (g), 1000-grain weight (g), grain yield plant-1 (g), biological yield plant-1 (g)and harvest index (%). The statistically significant difference(s) was/were detected for the investigated traits.  The high magnitude of heritability (˃0.62) was noted for all parameters except spike length (0.57) which was moderate. Low expected genetic advance was recorded for days to heading (3.90%) and spike length (8.13%), moderate expected genetic advance was observed for plant height (9.95%), grain weight spike-1 (11.54%) and 1000 grain weight (13.41%), while high expected genetic advance was noted for flag leaf area (24.72%), grain yield plant-1 (20.45%), biological yield plant-1 (23.64%) and harvest index (24%). Grain yield plant-1 was non-significantly and positively correlated with days to heading (rG = 0.19NS and rP = 0.07 NS),  plant height (rG = 0.30 NS and rP = 0.26 NS), flag leaf area (rG = 0.25 NS and rP = 0.18 NS), spike length (rG = 0.01 NS and rP = 0.07 NS), grain weight spike-1 (rG = 0.28 NS and rP = 0.22 NS) and 1000-grain weight (rG = 0.02 NS and rP = 0.07 NS) at both genotypic and phenotypic levels. While significantly and positively correlated with biological yield plant-1 (rG = 0.34* and rP = 0.33*) and harvest index (rG = 0.58** and rP = 0.66**) at both genotypic and phenotypic levels. High heritability showed that these traits are under genetic control and single plant selection could be started in F5 generation. The strong correlation of grain yield plant-1 with the mentioned traits showed that grain yield could be indirectly improved by improving these traits.

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.

Character association and path coefficient analysis in wheat (Triticum aestivum L.)

2017 ◽  
Vol 51 (03) ◽  
Author(s):  
Vichitra Kumar Arya ◽  
Jogendra Singh ◽  
Lokendra Kumar ◽  
Amit Kumar Sharma ◽  
Rajendra Kumar ◽  
...  
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Harvest Index ◽  
Indirect Selection ◽  
Grain Weight ◽  
Genetic Advance ◽  
Biological Yield ◽  
Positive Direct ◽  
1000 Grain Weight ◽  
Plant Plant

<span>Forty nine genotypes of wheat were evaluated for 12 quantitative and one quality traits during 2010-11. The experiment was conducted in randomized complete block design with three replications at Crop Research Centre, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut. The mean, range, genotypic and phenotypic coefficient of variation, heritability in broad sense, genetic advance correlation and path analysis were analyzed. Plant height, number of productive tillers per plant, spike length, 1000-grain weight, biological yield per plant and harvest index were significant and positive correlated with grain yield per plant. The phenotypic and genotypic path coefficients exhibited high positive direct contribution of number of productive tillers per plant, plant height, harvest index and 1000-grain weight towards grain yield.The positive indirect effect of plant height on grain yield was registered via days to maturity, number of spikelets per spike, 1000-grain weight and biological yield per plant. Number of productive tillers per plant revealed contribution on grain yield via number of grains per spike, 1000 grain weight, biological yield per plant and harvest index revealing that indirect selection of these characters would be effective in improving grain yield per plant. Higher genotypic coefficient of variance along with high heritability and genetic advance for grain yield per plant, plant height, number of spikelets per spike, number of grains per spike and 1000-grain weight would also be of great use for indirect selection for improvement in yield per plant. </span>

scholarly journals Study of variance, heritability and genetic advance for various yield contributing and quality traits in spring wheat (Triticum aestivum L.)

2016 ◽  
Vol 8 (4) ◽  
pp. 1811-1814
Author(s):  
Harshwardhan Harshwardhan ◽  
Anil Kumar ◽  
Amarjeet Kumar ◽  
Birendra Prasad
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Spring Wheat ◽  
Harvest Index ◽  
Grain Weight ◽  
Spike Length ◽  
Genetic Advance ◽  
Statistical Parameters ◽  
Days To Maturity ◽  
Biological Yield

An experiment was conducted to study the coefficient of variance, heritability and genetic advance for different traits in spring wheat .The investigation comprised of 7 lines of wheat and their 21 crosses in half diallel fashion was carried out in RBD with three replications. Data were recorded for days to 75% heading, days to maturity,plant height, number of productive tillers per plant, spike length, number of spikelets per spike, number of grains per spike, grain weight per spike, 1000-grain weight, biological yield per plant, harvest index, grain yield per plant, protein content and sedimentation value. The mean squares of the analysis of variance revealed significant and highly significant differences among genotypes for characters studied. Both PCV and GCV (21.8% and 21.3%) were highest for biological yield per plant followed by grain yield per plant (20.9%) and harvest index (19.7%) respectively. Whereas, ECV was maximum (15.2%) for grain yield per plant followed by harvest index (12.2%) and lowest value was recorded for days to 75% heading (0.85%). Days to 75% heading was highly heritable (90.94%) trait followed by plant height (87.23%) while least heritability (17.73%) was noticed for number of grain per spike. The highest genetic advance shown by the biological yield per plant (48.33g) followed by grain yield per plant (19.75g), however, the greatest genetic value percent mean 43.084 for the days to maturity and minimum (2.10) for spike length. Hence, these statistical parameters might be given top priority to strengthen the successful breeding program.

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 Estimates of genetic parameters for grain yield, various yield components and some quality traits in rice (Oryza sativa L.)

2018 ◽  
Vol 10 (1) ◽  
pp. 459-465
Author(s):  
Gaurav Kamboj ◽  
Pradeep Kumar ◽  
Devi Singh
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Genetic Parameters ◽  
Amylose Content ◽  
Flag Leaf ◽  
Kernel Length ◽  
Days To Maturity ◽  
Excellent Candidate ◽  
Biological Yield ◽  
1000 Grain Weight

A study was conducted during two crop season (Kharif, 2011-12 and 2012-13) for estimating the genetic parameters by involving 10 parents and their 45 F1s in rice crop. The estimates of h2 (overall dominance effects) were positive and significant for days to 50 % flowering (9.11), days to maturity (0.24), plant height (2.95), panicle length1(39), productive tillers per plant (3.22), branches per panicle (5.61), flag leaf area (5.50), 1000-grain weight (0.27), biological yield (7.35) and amylose content (1.03) which indicated dominance of genetic components in F1s crosses. The theoretical value (0.25) of (H2/4H1) for all the traits except kernel length and amylose content indicated the asymmetrical distribution of positive and negative genes in the parents. The proportion of dominant and recessive alleles for panicle length, productive tillers, branches per panicle, 1000 grain weight, biological yield, kernel length and L/B ratio reflected more dominant alleles, whereas for days to 50 % flowering, days to maturity, plant height, grains per panicle, flag leaf area, grain yield, harvest index, kernel breadth, kernel length after cooking, elongation ratio, amylose content and hulling %, reflected more recessive alleles in the parents. The estimates of specific combining ability (SCA) effects revealed that the cross Vallabh Basmati 21 x Pusa 1121 could be an excellent candidate for improving grain yield (1.52**), harvest index (1.86**) and flag leaf area (6.20**) whereas Pusa 1121 x CSR 10 is excellent candidate for panicle length (0.89**) and amylose content (1.54**). The characters showing more than 60 % narrow sense heritability along with positive and significant correlation with each other and also with grain yield could be rewarding for further improvement of yield and quality in rice. Therefore, these parental lines can be used as donors in future by following bi-parental mating and the diallel selective mating system could be the best breeding method in an early segregating generation for improvement in these traits in rice crop.

scholarly journals Genetic Variability and Association of Morpho-physiological Traits in Bread Wheat (Triticum aestivum L.)

2020 ◽  
pp. 95-105
Author(s):  
Puneet Kumar ◽  
Y. P. S. Solanki ◽  
Vikram Singh ◽  
. Kiran
Keyword(s):  
Growth Rate ◽  
Genetic Variability ◽  
Grain Yield ◽  
Grain Growth ◽  
Harvest Index ◽  
Flag Leaf ◽  
Grain Weight ◽  
Spike Number ◽  
Biological Yield ◽  
1000 Grain Weight

The experiment was conducted with 60 genotypes of bread wheat. These genotypes were grown in RBD using three replications during Rabi 2016-17 at Research Area of Wheat and Barley Section, Department of Genetics and Plant Breeding, CCS HAU, Hisar. To study the variability, correlation and path analysis, data were recorded for yield and its component traits i.e. days to 50% heading, days to anthesis, grain growth rate at 14, 21, 28 days (mg/g/day), plant height (cm), number of effective tillers/meter, flag leaf length (cm), flag leaf width (cm), flag leaf area (cm2), spike length (cm), number of spikelets per spike, number of grains per spike, 1000 grain weight (g), grain yield per plot (g), biological yield/plot (g) and harvest index (%). ANOVA showed highly significant differences among the genotypes for all the traits indicating adequacy of material and the traits studied for further assessment of genetic variability parameters. High value of GCV and PCV was recorded for grain yield per plot, followed by biological yield, indicating greater amount of variability among the genotypes. Highest heritability was recorded for days to 50% heading, followed by days to anthesis. Highly significant and positive association was perceived between grain yield and tillers per meter, plant height, number of grains per spike, number of spikelets per spike, flag leaf area, grain growth rate at 14, 21 and 28 days after anthesis, spike length, 1000 grain weight, biological yield and harvest index. The high direct effects were recorded for biological yield, harvest index, flag leaf breadth, number of effective tillers per meter and 1000 grain weight, in order.

scholarly journals Genetic Parameters and Selection Indices in F3 Progenies of Hill Rice Genotypes

2012 ◽  
Vol 4 (4) ◽  
pp. 110-114 ◽  
Author(s):  
Gulzar S. SANGHERA ◽  
Subhash C. KASHYAP
Keyword(s):  
Grain Yield ◽  
Harvest Index ◽  
Genetic Parameters ◽  
Flag Leaf ◽  
Leaf Length ◽  
Genetic Advance ◽  
Days To Maturity ◽  
Biological Yield ◽  
Effect On Yield ◽  
Flag Leaf Length

The F3 population of eighteen different cross combinations using five local and seven exotic genotypes was used to study the genetic parameters, heritability, correlation and path coefficients for fourteen quantitative characters under temperate conditions. The selected progenies showed highly significant difference for most of the agro-morphological characters. Comparatively high phenotypic coefficients of variation were observed for all the character than genotypic coefficient variation. High heritability (%) was recorded for days to 50% flowering (96%) followed by days to maturity (95%) and grain yield per plant (84%). High genetic advance were observed for grain yield (47%) followed by biological yield/plant (27%) and harvest index (25%). Days to 50% flowering was positively and significantly correlated with days to maturity, grain length with LB ratio flag leaf length with grain breadth and panicle length with grain breadth at genotypic level. Path coefficient analysis revealed that harvest index and biological yield has highest direct effect on yield followed by days to maturity and number of grain per panicle. Biological yield per plant has highest indirect effect on yield via days to flowering followed by grain weight via biological yield per plant, grain breadth via days to 50 % flowering and flag leaf length via biological yield per plant. Therefore, information on the genetic parameters such as coefficient of variation, heritability, genetic advance and the influence of environment on the expression of these characters will help the breeder to evolve suitable cultivars within a short time for hill ecologies.

scholarly journals Genetic diversity analysis for various morphological and quality traits in bread wheat (Triticum aestivum L.)

2018 ◽  
Vol 10 (1) ◽  
pp. 24-29
Author(s):  
Girnam Singh ◽  
Pradeep Kumar ◽  
Ravi Kumar ◽  
L. K. Gangwar
Keyword(s):  
Genetic Diversity ◽  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Genetic Divergence ◽  
Harvest Index ◽  
Grain Weight ◽  
Quality Traits ◽  
Biological Yield ◽  
1000 Grain Weight

The present investigation was carried out during 2011-12 in a randomized block design (RBD) with 35 diverse wheat genotypes to assess the genetic diversity for various morphological and quality traits. The analysis of variance for grain yield and its contributing components namely days to 50% flowering, days to maturity, productive tillers, plant height, spike length, spikelets pet spike, grains per spikelet, biological yield, harvest index, 1000 grain weight, grain yield and gluten content showed highly significant differences (at <1% level of significance) among the genotypes under present study. High heritability along with high genetic advance and high phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) for grain yield (g), biological yield (g), harvest index (%), spike length (cm) and 1000 grain weight (g) indicated substantial contribution of additive gene action in the expression and thus selection would be effective for genetic improvement of these traits for improving grain yield in wheat. On the basis of multivariate analysis, 35 genotypes were grouped into ‘6’ clusters based on genetic divergence (D2 ) value. The compositions of clusters revealed that the Cluster IV contained the highest number of genotypes (9) followed by Cluster II (8), Cluster VI (8) and Cluster III (7). The highest inter cluster values were recorded between cluster III and V (8357.19) followed by cluster IV and V (7513.88), cluster IV and VI (6009.44) and cluster III and VI (5530.40) exhibiting wide genetic diversity. Among different traits, biological yield (32.12%), productive tillers (28.74%), harvest index (26.71%), plant height (24.20%), grain yield (19.23%) and grains per spikelets (14.89%) had maximum contribution to total genetic divergence, therefore may be used as selection parameters in transgressive segregants. Selection of genotypes from the clusters may be used as potential donors for further hybridization programme to develop genotypes with high yield potential in wheat crop.

Sign in / Sign up

Export Citation Format

Share Document