scholarly journals Genetic variability studies in germplasm of wheat (Triticum aestivum L.)

2021 ◽  
Vol 23 (3) ◽  
pp. 310-313
Author(s):  
NISHANT PATIAL ◽  
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Leaf Area ◽  
Coefficient Of Variation ◽  
Flag Leaf ◽  
Block Design ◽  
Triticum Aestivum L ◽  
Randomized Block Design ◽  
Yield Test ◽  
Breeding Programmes

In the present investigation, twenty genotypes of bread wheat (Triticuma estivum L.) were evaluated to examine the presence of genetic variability which may further be utilized in breeding programmes. The experiment was laid out in randomized block design with three replications at the experimental field of Himgiri Zee University, Dehradun during 2019 - 2020. Analysis of variance revealed that genotypes possessed significant genetic variability among all traits.It was observed that HUW-251 (recorded the highest value 67.33 g) where as HUW-213 exhibited the lowest value (48.00 g) for grain yield per plant.The highest estimates of genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were observed for spike weight(g) (19.97, 19.98) respectively, followed by flag leaf area (15.64) and spikelets per spike (14.49, 14.59).High heritability (h2) associated with high genetic advance as percent of mean (GAM) were observed for grain yield, test weight, grains per spike, spikelets per spike, spike weight, spike length, peduncle length and flag leaf area.

Genetic variability and diversity analysis for yield and its components in wheat (Triticum aestivum L.)

2017 ◽  
Author(s):  
Vichitra Kumar Arya ◽  
Jogendra Singh ◽  
Lokendra Kumar ◽  
Rajendra Kumar ◽  
Punit Kumar ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Genetic Variability ◽  
Grain Yield ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Scientific Information ◽  
Triticum Aestivum L ◽  
Flowering Plant ◽  
Cluster Distance ◽  
Spike Number

Forty nine genotypes of wheat were studied for generating scientific information on nature and magnitude of genetic variability and diversity for designing breeding programme. The experiment was conducted in randomized complete block design in three replications. The data were recorded on days to 50% flowering, plant height, peduncle length, number of productive tillers per plant, days to maturity, spike length, number of spikelets per spike, number of grains per spike, 1000-grain weight, biological yield per plant, grain yield per plant, harvest index and gluten content. Analysis of variance revealed significant differences among the genotypes for all the characters under study. The highest estimates of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were observed for grain yield per plant. High heritability coupled with high genetic advance was observed for grain yield per plant. Based on D2 –Statistics, 49 genotypes were grouped into eight clusters. The highest inter-cluster distance was found between cluster VII and VIII followed by III and VII. This indicates that genotypes included in these clusters possess wide genetic diversity. Grain yield per plant (31.46%) showed highest contribution towards genetic divergence; therefore, this character was major determinant of genetic diversity. On the basis of divergence and cluster mean it may be suggested that maximum heterosis and good recombinants could be obtained in crosses between genotypes of cluster VIII, VII and III in varietal improvement programme. Thus, crosses between the genetically diverse genotypes of cluster VIII with genotypes HUW 655, HP 1937, DBW 88 and HD 3058 and cluster VII with genotypes like HP 1938, HUW 656, K1006, DBW83, DBW 84, K1004, UP2822 and NW5050 are expected to exhibit high heterosis and are also likely to produce new recombinants with desired traits.

scholarly journals Assessment of Genetic Variability and Transmissibility Index in Rice Genotypes (Oryza sativa L.)

2021 ◽  
pp. 34-42
Author(s):  
Ashish Sheera ◽  
Nashra Aftab ◽  
Sandeep Rout ◽  
Udit Nandan Mishra ◽  
Bupesh Sharma ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Coefficient Of Variation ◽  
Oryza Sativa L ◽  
Block Design ◽  
Uttar Pradesh ◽  
Grain Filling ◽  
Randomized Block Design ◽  
Significant Difference ◽  
Days To Maturity

Aim: To assess the Genetic Variability among the accession/ genotype and its contributing traits. Methodology: A field experiment was conducted using 35 genotypes including 2 checks of rice during the season of kharif, 2017, at the Field Experimental Centre, Department of Genetics and Plant Breeding, SHUATS, Prayagraj, Uttar Pradesh to evaluate genetic variation and heritability of yield and related traits. The experiment was designed with a randomized block design (RBD) with three replications. Analysis of variance revealed significant difference among the genotypes for all traits indicating existence of genetic variability among the accessions. Results: Highest genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were recorded for Spikelet’s per panicle, tillers per hill, panicle per hill and grain filling. High heritability in broad sense was obtained for days to 50% flowering (99.6%), days to maturity (98.7%), test weight (97.9%), harvest index (96.9%) and grain yield per hill (96.6%) which is indicating the high heritable portion of variation. High to medium estimate of heritability in genetic advance were obtained for grain yield (38.51), spikelet’s/ panicle (37.94), panicle/ hill (36.97) were indicating the roles of additive gene action and good scope of selection using their phenotype performance. Interpretation: Considering, all of these characters, spikelet’s per panicle, days to 50% flowering and days to maturity were important yield related traits and could be used for selection in future rice breeding programme.

scholarly journals Studies on genetic variability for some metric traits in slender grain rice genotypes

2018 ◽  
Vol 10 (1) ◽  
pp. 375-378
Author(s):  
Biswaranjan Behera ◽  
Simanchal Sahu ◽  
Rajesh Kumar Kar ◽  
Ritu Kumari Pandey
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Leaf Area ◽  
Coefficient Of Variation ◽  
Seed Weight ◽  
Flag Leaf ◽  
Additive Gene ◽  
High Heritability ◽  
Rice Genotypes ◽  
100 Seed Weight

An experiment was conducted to study genetic variability in forty-nine elite slender grain rice genotypes for thirteen component characters including grain yield.The experimental materials possessed a considerable amount of variability for all the traits. Majority of the traits showed the smaller difference between phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV). Both PCV and GCV were high for grain yield (gm) (PCV:27.14%, GCV:26.27%), and fertile grains per panicles(PCV:20.61%, GCV:20.52%), indicating less effect of environment on these characters. PCV and GCV were moderate for characters like harvest index (PCV:16.99%, GCV: 14.18%), 100 seed weight (gm) (PCV:14.57%, GCV:13.82%), fertility percentage (PCV:15.72%, GCV:15.05%), flag leaf area (cm2 ) (PCV:17.83%, GCV: 17.74%) and days to 50 % flowering (PCV:11.20%, GCV:11.17%) indicating that there is considerable amount of environmental effect on such characters. Moderate to a high degree of heritability estimates were observed for the majority of the traits under study except for a number of effective tillers/plant indicating the low or negligible influence of environment in the expression of these traits and may respond to selection for their improvement. High heritability (H2 )estimates were associated with moderate to high genetic gain over mean (GAM) for days to 50% flowering (H2 : 99.35%,GAM: 19.52%), plant height (H2 :93.89%,GAM:14.01%), panicle length (H2 :94.06%,GAM:14.04%), flag leaf area(H2 : 98.93%,GAM: 31.05%), fertile grains/panicle (H2 :99.20%,GAM: 35.98%), fertility percentage (H2 :91.57%,GAM:25.34%),100 seed weight (H2 :89.90%,GAM:23.06%)and grain yield per plant (H2 :93.71%,GAM:44.76%) indicating the presence of additive gene effect and hence selection based on phenotypic performance for these traits would be effective.

Assessment of genetic variability for quantitative characters in rice (Oryza sativa L.) under post flood situation in sali

2021 ◽  
Vol 58 (1) ◽  
pp. 43-48
Author(s):  
Dalibha Pathak ◽  
Umesh Ch. Kalita
Keyword(s):  
Grain Yield ◽  
Coefficient Of Variation ◽  
Quantitative Traits ◽  
Oryza Sativa L ◽  
Block Design ◽  
Genetic Advance ◽  
Spikelet Sterility ◽  
Rice Varieties ◽  
Randomized Block Design ◽  
Spikelets Per Panicle

Sixteen genotypes of rice (including one check) were evaluated on 18 quantitative traits during sali (August), 2018 in a randomized block design with three replications at Instruction cum Research Farm, Department of Plant Breeding and Genetics, Assam Agricultural University, Jorhat to study the nature and magnitude of variability, heritability and genetic advance under delayed sown condition. The analysis of variance for 18 quantitative traits revealed the presence of significant differences for grain yield and its component characters. The highest genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) was observed for chaffs per panicle followed by grains per panicle, spikelet sterility (%), spikelets per panicle, grain yield (kg/ha). A high heritability coupled with high genetic advance was observed for plant height (cm), spikelets per panicle, spikelet sterility (%), chaffs per panicle, grains per panicle, grain yield (g/hill), grain yield (kg/ha), biological yield (kg/ha), straw weight (kg/ha) and harvest index (%) indicating that selection might be effective for improvement of these characters under delayed sown condition with low input. From the findings of this investigation, one genotype viz., Gandhari emerged as the outstanding genotype which yielded 4170 kg/ha and could be directly used for cultivation in delayed sown situation with low inputs. Some other promising genotypes that yielded higher than the check Manoharsali under delayed sown condition were JR 29, JR 16, Basundhara and JR 60 and could be utilized as potential parental material in the hybridization programmes designed to develop suitable rice varieties for delayed sown situation.

scholarly journals The effect of leaf area reduction on corn plants during the reproduction phase

Revista CERES ◽  
2011 ◽  
Vol 58 (4) ◽  
pp. 413-418 ◽  
Author(s):  
Karen Rodrigues de Toledo Alvim ◽  
Césio Humberto de Brito ◽  
Afonso Maria Brandão ◽  
Luiz Savelli Gomes ◽  
Maria Teresa Gomes Lopes
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Block Design ◽  
Plant Leaves ◽  
Spike Density ◽  
Area Reduction ◽  
Randomized Block Design ◽  
Minas Gerais State ◽  
Corn Plants ◽  
Root Resistance

Reduction in leaf area in corn plants during reproduction changes physiological metabolism and consequently the accumulation of dry matter in grains. The aim of this work was to study changes in agronomic characteristics caused by defoliation in corn during the reproduction phase. The experiment was carried out in Uberlândia, Minas Gerais state, in the agricultural year 2007/2008. The experiment was arranged in a randomized block design, consisting of seven treatments: control without defoliation, removal of two apical leaves, removal of four apical leaves, removal of all leaves above spike, removal of four intermediate leaves, removal of all leaves below spike, and removal of all plant leaves, with five repetitions. The genotype used for the evaluations was hybrid NB 7376. Defoliation was carried out when plants were at the growth stage R2. The variables assessed were: yield, density of spikes and corncobs, root resistance and stem integrity. When all leaves above the spike were removed, grain yield was reduced by 20%. Corncob density, stem integrity and root resistance to uprooting were also affected. Spike density was only affected when all plant leaves were removed. The leaf area remaining physiologically active above the spike was found to be most efficient in terms of grain yield.

scholarly journals Expected genetic gains from mono trait and indexbased selection in advanced bread wheat (Triticum aestivum L.) populations

2020 ◽  
Vol 73 (2) ◽  
pp. 9131-9141
Author(s):  
Zine El Abidine Fellahi ◽  
Abderrahmane Hannachi ◽  
Hamenna Bouzerzour
Keyword(s):  
Grain Yield ◽  
Bread Wheat ◽  
Flag Leaf ◽  
Block Design ◽  
Triticum Aestivum L ◽  
Research Unit ◽  
Kernel Weight ◽  
Wide Range ◽  
Wheat Lines ◽  
Selection Of

This study aimed at evaluating the expected gains from selection obtained based upon direct, indirect, and index-based selection in a set of 599 bread wheat lines. The experiment was carried out at the experimental field of INRAA institute, Setif research unit (Algeria), in a Federer augmented block design including three controls. A wide range of genetic variability was observed among lines for the eleven traits assessed. The results indicated that index-based selection and selection based on grain yield expressed higher expected genetic gain than direct and indirect mono-trait-based selection. The best 15 selected lines exhibited higher grain yield than the control varieties, and they were clustered in three groups that contrasted mainly for the flag-leaf area, thousand-kernel weight, biomass, and harvest index. The index-based selection appears as a useful tool for the rapid selection of early filial generations, enriching selected breeding materials with desirable alleles and reducing the number of years required to combine these traits in elite varieties.

scholarly journals GENETIC VARIABILITY, CHARACTER ASSOCIATION AND PATH ANALYSIS OF YIELD AND ITS COMPONENT TRAITS IN MAIZE (Zea mays L.)

2016 ◽  
Vol 29 (1) ◽  
pp. 21-30
Author(s):  
M. N. Huda ◽  
M. S. Hossain ◽  
M. Sonom
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Path Analysis ◽  
Plant Height ◽  
Direct Effect ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Male Flower ◽  
Maize Genotypes ◽  
Positive Direct

The experiment was conducted in the experimental area of Sher-e-Bangla Agricultural University, Sher-e-Bangla Nagar, Dhaka during March to June, 2014 to study the genetic variability, correlation and path co-efficient analysis for yield and yield contributing characters of maize. In this experiment 25 maize genotypes were used as experimental materials. The experiment was laid out in Randomized Complete Block Design (RCBD) with three replications. Mean performance, variability, correlation matrix and path analysis on different yield contributing characters and yield of maize genotypes were estimated. The highest grain yield/plant (272.21 g) was recorded in the genotype of BARI Hybrid Maize-6, whereas the lowest grain yield/plant (180.40 g) from the genotype of NZ-003. Phenotypic coefficient of variation was higher than the genotypic coefficient of variation for all the yield contributing traits. In correlation study, significant positive association was recorded for grain yield/plant of maize genotypes with plant height (0.235), tassel height (0.359), number of grains/cob (0.854), cob length (0.390), cob diameter (0.313) and weight of 1000-grains (0.689). Path analysis revealed that days to initiation of male flower had positive direct effect (0.132), days to initiation of female flower had negative direct effect (-0.254), days to maturity had positive direct effect (0.178), plant height had positive direct effect (0.314), tassel height had positive direct effect (0.234), ear length had positive direct effect (0.197), number of grains/cob had negative direct effect (-0.095), cob length had positive direct effect (0.167), cob diameter had positive direct effect (0.168) and that weight of 1000-grains had positive direct effect (0.217) on yield / plant.

scholarly journals Correlation and Path Coefficient Analysis in Bread Wheat (Triticum aestivum L.) Genotypes for Morpho-physiological Traits along with Grain Fe and Zn Content

2020 ◽  
pp. 130-140
Author(s):  
Mainak Barman ◽  
Vinay Kumar Choudhary ◽  
Satish Kumar Singh ◽  
Rabiya Parveen ◽  
Abhishek K. Gowda
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Water Content ◽  
Leaf Area ◽  
Relative Water Content ◽  
Flag Leaf ◽  
Triticum Aestivum L ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Relative Water

Character association studies help in assessing the relationship among yield and its components to enhance the selection utility. In view of this, the present research was carried out for assessing correlation and path coefficients among 30 bread wheat (Triticum aestivum L.) genotypes using fifteen quantitative parameters. Correlation analysis demonstrated a noteworthy positive relationship of days to fifty per cent flowering, number of tillers/plant, flag leaf area, spike length, plant height, chlorophyll content, relative water content, number of grains/ ear, thousand-grain weight, days to maturity and harvest index, with grain yield per plant at both the phenotypic and genotypic level except canopy temperature which showed a significant negative relationship. Path coefficient analysis revealed that plant height, flag leaf area, relative water content and grain per ear had the maximum positive direct effect on grain yield. Hence, the present investigation can be helpful in executing a reliable selection of parental lines based on these above mentioned traits in addition to developing high-yielding varieties for further breeding programme.

scholarly journals Seed Priming and Priming Duration Influence on Growth and Yield of Wheat (Triticum aestivum L.) under Rainfed Condition of Hilly Uttarakhand

2021 ◽  
Vol 12 (2) ◽  
pp. 121-124
Author(s):  
Mayank Singh Panwar ◽  
◽  
R. G. Upadhyay ◽  
Ajay Kumar ◽  
Arunima Paliwal ◽  
...  
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Seed Priming ◽  
Triticum Aestivum L ◽  
Growth And Yield ◽  
Rainfed Condition ◽  
Randomized Block Design ◽  
Lime Water ◽  
Normal Water ◽  
Early Establishment

Insufficient stand establishment of winter wheat is a major problem in the rainfed region of the Uttarakhand hills. In order to increase germination and early establishment in the field under rainfed condition of hilly tracts this study was conducted at college of forestry VCSG University of Horticulture and Forestry, Ranichauri, Tehri Garhwal, Uttarakhand, India. The ten treatments were laid out in randomized block design with three replications in field. The treatments were VL 892 primed for 12 hrs with normal water, VL 892 primed for 24 hrs with normal water, VL 892 primed for 12 hrs with lemon water, VL 892 primed for 24 hrs with lemon water, VL 829 primed for 12 hrs with normal water, VL 829 primed for 24 hrs with normal water, VL 829 primed for 12 hrs with lemon water, VL 829 primed for 24 hrs with lemon water, VL 892 with no priming, and VL 829 with no priming. Significantly higher grain Yield of wheat was recorded in VL 829 primed with normal water for 24 hours which was statistically on par with VL 829 primed for 12 hrs with normal water, VL 892 primed for 24 hrs with normal water and VL 892 primed for 12 hrs with normal water. Significantly higher grain yield was recorded in case of priming with normal water than the priming with lime water.

scholarly journals Estimation of heterosis for grain yield and yield attributes in bread wheat genotypes utilizing line x tester analysis (Triticum aestivum L. em. Thell)

2021 ◽  
pp. 85-95
Author(s):  
Amitava Roy ◽  
Anil Kumar ◽  
Karthick Babu S ◽  
Simran Sisodiya ◽  
Anu Singh
Keyword(s):  
Grain Yield ◽  
Bread Wheat ◽  
Block Design ◽  
Triticum Aestivum L ◽  
Grain Weight ◽  
F1 Hybrids ◽  
Research Centre ◽  
Rabi Season ◽  
Yield Attributes ◽  
Randomized Block Design

Eleven genotypes of bread wheat were crossed with three testers in the rabi season of 2018-19 inline x tester mating fashion to obtain 33 F1 hybrids, which were evaluated with parents and two standard checks of wheat viz., UP 2855 and HD 2967. The experiment was laid out in randomized block design with three replications at Norman E. Borlaug Crop Research Centre, G.B. Pant University of Agriculture and Technology, Pantnagar in the rabi season 2019-20. Observations were recorded on various qualitative and quantitative characters including grain yield. The results obtained revealed significant differences among all the genotypes, indicating the presence of aconsiderable amount of genetic variability. The cross combinations SOKOLL x HI 1621, followed by QBP 12-11 x HI 1621, NAC/TH.AC//3*PVN/3/MIRLO/BUC/4/ 2*PASTOR/5/… x HD 3237 were observed to be the better heterotic F1s in terms of grain yield. The hybrid QLD 75 x HI 1621 was identified as the best heterotic combination for grain weight per spike and harvest index. Whereas, for grains per spike F1, NW 6036 x HI 1621, for 1000 grain weight F1, SOKOLL x HD3237, for spike length F1, NAC/TH.AC//3*PVN/3/ MIRLO/BUC/4/2*PASTOR/5/… x HD 3237, for peduncle length F1, VORB/4/D67.2/PARANA 66.270 x HI 1621 and for days to 75% heading and days to maturity F1, PRL/2*PASTOR*2//FH6-1-7/3/KINGBIRD#1//… x PBW 725 were observed to be the better heterotic combinations. The crosses with higher heterotic values may provide an opportunity for isolation of desirable purelines in advanced generations.

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