scholarly journals Genetic analysis of grain yield and its contributing traits for their implications in improvement of bread wheat cultivars

2016 ◽  
Vol 8 (1) ◽  
pp. 350-357
Author(s):  
Pradeep Kumar ◽  
Gyanendra Singh ◽  
Sarvan Kumar ◽  
Anuj Kumar ◽  
Ashish Ojha
Keyword(s):  
Genetic Analysis ◽  
Grain Yield ◽  
Leaf Area ◽  
Bread Wheat ◽  
Coefficient Of Variation ◽  
Harvest Index ◽  
Flag Leaf ◽  
Thousand Grain Weight ◽  
Biological Yield ◽  
Peduncle Length

Genetic analysis was carried out in 55 genotypes (10 parents and 45 F1s) through diallel mating design excluding reciprocals in bread wheat. Analysis of variance showed appreciable variability among the breeding material for almost all the traits under study. The highest value of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) was found for flag leaf area (PCV=18.82, GCV=17.74), biological yield (PCV=12.98, GCV=11.70), grain yield (PCV=11.90, GCV=10.39) and harvest index (PCV=10.39, GCV=10.05). Highest heritability with highest genetic advance was estimated for flag leaf area (h2=52.24, GA=34.64), biological yield (h2=15.04, GA=21.71), harvest index (h2=18.19, GA=20.01), peduncle length (h2=31.72, GA=15.96) and spikelets per spike (h2=34.92, GA=12.96), therefore selection will be effective based on these traits. Grain yield was found significantly correlated (at <1% level of significance) with productive tillers (gr=0.3283**, pr=0.4347**), spike length (gr=0.1959**, pr=0.2203**), spikelets per spike (gr=0.4342**, pr=0.3813**), grains per spike (gr=0.7188**, pr=0.4918**), biological yield (gr=0.6101**, pr=0.6616**), harvest index (gr=0.3518**, pr=0.3227**) and thousand grain weight (gr=0.5232**, pr=0.3673**). Similarly path coefficient analysis estimates for biological yield (g=1.0524, p=1.0554), harvesting index (g=0.8862, p=0.8291), thousand grain weight (g=0.0588, p=0.0269), grains per spike (g=0.0496, p=0.0074), spike length (g=0.0209, p=0.0289), days to maturity (g=0.0142, p=0.0127), productive tillers (g=0.0186, p=0.0147), peduncle length (g=0.0123, p=0.0157), days to 50% flowering (g=0.0093, p=0.0072) and plant height (g=0.0042, p=0.0020) showed high positive direct effects on grain yield indicating that due importance should be given to these traits during selection for high yield.

scholarly journals Estimates of genetic components and regression analysis for grain yield and various morphological traits in bread wheat (Triticum aestivum L.)

2018 ◽  
Vol 10 (1) ◽  
pp. 6-11
Author(s):  
Sandeep Kumar ◽  
Pradeep Kumar ◽  
Vichitra Kumar Arya ◽  
Ravi Kumar ◽  
S. A. Kerkhi
Keyword(s):  
Regression Analysis ◽  
Grain Yield ◽  
Leaf Area ◽  
Bread Wheat ◽  
Harvest Index ◽  
Gene Action ◽  
Flag Leaf ◽  
Genetic Components ◽  
Biological Yield ◽  
Peduncle Length

The present study was conducted to estimate the gentic components and regression analysis for grain yield and various morphological traits in bread wheat involving 10 parents and their 45 F1s (half diallel) during 2012- 13 and 2013-14. Significant additive (D) and dominance (H1) variance for the traits indicated that expression of these traits is control by both additive and dominance gene action. Average degree of dominance (H1/D)1/2 were more than unity for the traits (peduncle length, flag leaf area, productive tillers, biological yield, grain yield, harvest index) indicating the preponderance of over dominance gene action. The estimates of h2 were positive and significant for days to ear emergence, peduncle length, productive tillers, biological yield and grain yield indicated dominance of genetic components in F1s. Positive and significant values of F were estimated for days to ear emergence, days to 50% flowering, spike length, flag leaf area and grain yield in F1s indicating the preponderance of dominance and positive genes in the parents involved. The theoretical value (0.25) of (H2/4H1) for all the traits indicated asymmetrical distribution of positive and negative genes. The proportion of dominant and recessive alleles indicated presence of dominant alleles in the parents. The traits showing more than 30% narrow sanse heritability could be rewarding for further improvement in grain yield in bread wheat. Regression analysis indicated that the traits (days to ear emergence, days to 50% flowering, peduncle length, flag leaf area, productive tillers, harvest index, biological yield and grain yield) control by over dominance type of gene action. The parent RAJ 4246 contained maximum dominant genes for days to ear emergence and days to 50% flowering; HD 2733 for spike length and flag leaf area and HD 2824 for productive tillers, biological yield and grain yield used as donors in multiple traits breeding programme to develop high yielding wheat genotypes.

Multivariate statistical analysis of cold season wheat yield under drought conditions Alireza Razavi

2014 ◽  
Vol 2 (1) ◽  
pp. 50-59
Author(s):  
Alireza Razavi
Keyword(s):  
Grain Yield ◽  
Harvest Index ◽  
Cold Season ◽  
Grain Weight ◽  
Productivity Index ◽  
Drought Condition ◽  
Thousand Grain Weight ◽  
Biological Yield ◽  
Peduncle Length ◽  
Irrigation Levels

Effect of drought stress on cold season wheat varieties investigated at Jolgeh-rokh station of Torbat Heydarieh agricultural and resources research center during 2012 and 2013. The experiment contained 18 inbred lines and promised varieties studied in optimal and limited irrigation levels. Two separate complete randomized block designs with three replications were carried out. At limited irrigation level plants did not irrigated at dough stage and physiological maturity stage. Measured treats was: plant height, spike length, peduncle length, grains/spike, grain weight, thousand grain weight, spike weight, harvest index, grain and biological yield.  Results showed that Cold wheat 14 was the best variety in both irrigation levels. Grain yield significantly correlated with grain yield and biological yield at optimal condition. There was a positive correlation between biological yield peduncle weight and harvest index with grain yield at drought condition. Stepwise regression analysis showed that yield variation control by thousand grain weight, grains/spike and spike weight at optimal irrigation condition. Peduncle length was the only variable enters to regression model at drought condition. Peduncle length and weight had the highest indirect effect on yield as shown by path analysis. Factor analysis indicated that three factors accounted for about 80 percent of the total variation among characters. Investigating the drought susceptibility indices showed that mean productivity index and stress susceptibility index was the best in selecting tolerate varieties. 

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 Study on Genotypic Response and Correlation Analysis of the Yield and Yield Attributing Traits of Different Barley (Hordeum Vulgare) Genotypes

2017 ◽  
Vol 4 (4) ◽  
pp. 529-536
Author(s):  
Deepak Vitrakoti ◽  
Sheetal Aryal ◽  
Santosh Rasaily ◽  
Bishnu Raj Ojha ◽  
Raju Kharel ◽  
...  
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Plant Height ◽  
Flag Leaf ◽  
Grain Weight ◽  
Spike Length ◽  
Thousand Grain Weight ◽  
Days To Flowering ◽  
Days To Heading ◽  
Peduncle Length

Barley, being a tremendous opportunities crop, we are far back regarding study, research and utilization. An experiment was conducted 2014-2015 to evaluate the barley genotypes for their yield attributing traits and correlation and causation. Eleven yield contributing traits viz., days to booting, heading and flowering; peduncle length, spike length, plant height, flag leaf area, flag leaf-1 area, thousand grain weight, biological weight and yield per hectare were recorded. High significant variation among genotypes was found for traits under study. Genotypes SBYT3-13#1115 (1960 kg), 14-SB-NAK-MR#17 (1760 kg) and AM POP#26 (1660 kg) were found to be superior for their per se performance based on grain yield per hectare, yield attributing and other quantitative traits. Thousand grains weight (0.333) had positively highest significant correlation with grain yield per hectare followed by spike length (0.310). Grain yield per hectare showed negative highly significant correlation with days to flowering (-0.796) followed by days to heading (-0.761) and days to booting (-0.663). Peduncle length (0.229), plant height (0.226), biological weight (0.181) and flag leaf area (0.032) were positively correlated with grain yield per hectare while flag leaf-1 area(-0.029) was negatively correlated. Thus, selection for genotypes with higher thousand grain weight and spike length accommodating earlier days to flowering, heading and booting is a prerequisite for attaining improvement in grain yield per hectare.Int J Appl Sci Biotechnol, Vol 4(4): 529-536

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.

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 Estimation of Genetic Parameters of Different Wheat Genotype Traits in Chitwan, Nepal

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Saroj Regmi ◽  
Bikram Poudel ◽  
Bishnu Raj Ojha ◽  
Raju Kharel ◽  
Priyanka Joshi ◽  
...  
Keyword(s):  
Grain Yield ◽  
Coefficient Of Variation ◽  
Harvest Index ◽  
Genetic Parameters ◽  
Flag Leaf ◽  
Winter Season ◽  
Grain Weight ◽  
Spike Length ◽  
Thousand Grain Weight ◽  
Lattice Design

This research was carried out to estimate the genetic parameters of fifty wheat genotypes received from the Agriculture Botany Division, Nepal Agriculture Research Council (NARC), Khumaltar, Lalitpur, in the winter season of 2014/2015 at Agriculture and Forestry University (AFU), Chitwan, Nepal. The experiment was performed in an alpha lattice design with two replications in five blocks in each replication and ten plots in each block. The analysis of variance showed highly significant differences among the genotypes for all the studied traits except spike length. This implies that, except for spike length, all other traits exhibited genetic variability. The phenotypic coefficient of variation (PCV) was generally higher than the genotypic coefficient of variation (GCV) for all characters. The difference between PCV and GCV was large in spike length followed by grain weight per spike, the number of grains per spike, grain yield, thousand-grain weight, and harvest index indicating that these traits are affected by the environment as well. Moderate to high heritability associated with a high genetic gain was observed for days to flag leaf appearance, panicle length, thousand-grain weight, grain yield, and harvest index indicating the involvement of additive gene action. Grain weight per spike, number of grains per spike, thousand-grain weight, biological yield, and harvest index were significantly correlated with grain yield indicating their important contribution to grain yield. WK 2525, WK 2437, and WK 2506 were three promising genotypes in terms of grain yield.

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 Assessment of high yielding local Pakistani bread wheat genotypes for improved chapati making quality

2020 ◽  
Vol 5 (3) ◽  
pp. 1
Author(s):  
Jabeen Farheen ◽  
Farzana Nasir Naqvi
Keyword(s):  
Grain Yield ◽  
Protein Content ◽  
Plant Height ◽  
Bread Wheat ◽  
Harvest Index ◽  
Flag Leaf ◽  
Block Design ◽  
Sds Page ◽  
Glutenin Protein ◽  
And Cluster Analysis

The experiment was conducted to classify the maximum glutenin protein possessed Pakistani bread wheat genotype for superlative chapati making quality by ten yield-related parameters. The studied germplasm was acquired from NARC, Pakistan, and planted in randomized-complete-block-design with four replicates at the screen house of the Genetics Department. Data were assessed via Duncan’s test, correlation analysis, SDS-PAGE, and cluster analysis. Duncan’s test conceded that Pirsabak-85 had the highest plant height, flag leaf area, biomass, grain yield plantˉ1, harvest index, and protein content. While, the correlation studies showed that plant height, tillers plantˉ1 (r = 0.649), fertile tillers plantˉ1 (r = 0.713),biomass (r = 0.861), spike length (LS), thousand-grain weight and harvest index had a positive higher significant association with grain yield plantˉ1. The SDS-PAGE analysis resolved 30 diverse high and low molecular weight bands, ranging from 200 kDa to 28 kDa glutenin subunits. Among genotypes, Pirsabak-85 showed maximum protein content and 10 Glu-1 scores. The dendrogram analysis revealed that Pirsabak-85 associated with cluster-II, which was a major and most diverged cluster. The Pirsabak-85 can be utilized to enhance bread wheat production and better chapati making quality

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