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 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.

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 Genetic variability study in F2 population of tetraploid dicoccum wheat crosses

2018 ◽  
Vol 10 (2) ◽  
pp. 773-778
Author(s):  
Channappagouda Patil ◽  
Deepak Koujalagi
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Tiller Number ◽  
Genetic Advance ◽  
F2 Population ◽  
Spike Number ◽  
The Cross ◽  
High Degree

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.

scholarly journals ​Estimation of Genetic Variability and Genetic Divergence in Dolichos Bean [Lablab purpureus (L.) Sweet.] Genotypes

2021 ◽  
Author(s):  
Udit Kumar ◽  
Pramila . ◽  
K. Prasad ◽  
R.K. Tiwari ◽  
Saipayan Ghosh ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Genetic Variability ◽  
Coefficient Of Variation ◽  
Genetic Divergence ◽  
Mean Value ◽  
Yellow Mosaic Virus ◽  
Lablab Purpureus ◽  
Wide Range ◽  
Cluster Distance ◽  
Maturity Period

Background: Dolichos bean is an important leguminous vegetable having a wide range of variation in different quantitative characters. Assessing genetic diversity among dolichos bean accessions can ensure development of suitable high-yielding and adapted varieties with suitable maturity period. Methods: Fifteen genotypes were evaluated for different characters in Dolichos bean at two locations of Dr. Rajendra Prasad Central Agricultural University viz. Vegetable Research Farm, Pusa and Krishi Vigyan Kendra, Birauli, Samastipur, Bihar during the year 2018-19 and pooled data was analyzed. The genotypes were evaluated for genetic variability and genetic divergence for 14 characters. For the assessment of genetic diversity among the fifteen genotypes of dolichos bean, Mahalanobis (D2) statistic (Mahalanobis, 1936) was used, following the procedure given by Rao, 1952. Grouping of genotypes into clusters was done using Tocher’s method as described by Rao, 1952. Result: Phenotypic Coefficient of Variation (PCV) was slightly higher than Genotypic Coefficient of Variation (GCV) for all the characters indicated that the characters were less influenced by environment. The characters having high heritability and high genetic advance include harvesting duration, number of pods per plant, pod length, pod diameter, individual pod weight, weight of seeds per pod, 100 fresh green seed weight, pod yield and percent incidence of yellow mosaic virus. Therefore, selection for above characters is highly effective. Genetic diversity analysis evaluated that all genotypes could be placed into 6 clusters. Genotypes grouped in Cluster III and I have highest mean value for all characters as well as highest inter-cluster distance.

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 Evaluation of Genetic Variability, Heritability and Genetic Advance in Advanced Breeding Lines of Wheat (Triticum aestivum L)

2021 ◽  
Vol 10 (9) ◽  
pp. 531-537
Author(s):  
Asha Kushwah Sanjay Singh ◽  
Sushma Tiwari R. S. Sikarwar
Keyword(s):  
Genetic Variability ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Triticum Aestivum L ◽  
Grain Weight ◽  
Genetic Advance ◽  
Breeding Lines ◽  
Anther Extrusion ◽  
Significant Difference ◽  
Biological Yield

The Present investigation was carried out using 522 advanced breeding lines of wheat genotypes at BISA Farm, Jabalpur during Rabi, 2018-2019 in randomized block design with two replications. Analysis of variance found the significant difference between breeding lines for all the characters were studied. Appropriate variability was obtainable in the advance breeding lines under study for all the characters indicating sufficient genetic variability among the genotypes. Phenotypic coefficient of variation (PCV) was marginally higher than the respective genotypic coefficient of variation (GCV) for all the characters indicating thereby that there is negligible influence on the characters by the environment. GCV was high for grain yield per plant, grain weight per spike, biological yield per plant, number of grains per spike and number of effective tillers per plant. High PCV was observed for grain weight per spike followed by grain weight per plant, biological yield per plant, number of grains per spike, number of effective tillers per plant and length of main spike. High broad sense heritability along with high genetic advance as percentage of mean were obtained for number of non extruded anther per spike, anther extrusion %, visual score of anther extrusion, biomass per plot and number of productive tillers per plant.

scholarly journals Genetic Diversity of Bread Wheat (Triticum aestivum L.) Using the Multivariate Analysis in Normal Irrigation and Drought Stress Conditions

2020 ◽  
pp. 1-9
Author(s):  
Satish Kumar Singh ◽  
Akhilesh Kumar Singh ◽  
Mithilesh Kumar Singh ◽  
Priyanka Jaiswal ◽  
Aman Tigga ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Triticum Aestivum ◽  
Drought Stress ◽  
Grain Yield ◽  
Chlorophyll Content ◽  
Bread Wheat ◽  
Harvest Index ◽  
Triticum Aestivum L ◽  
Seed Vigour ◽  
Cluster Distance

The present investigation was carried out in the fields located at wheat breeding section, Dr Rajendra Prasad Central Agricultural University, Pusa, Samastipur and Bihar. The experimental materials of the study comprised of 39 diverse bread wheat (Triticum aestivum L.) genotypes. The genotypes were grown under two environments viz., drought stress (rainfed) and irrigated (well-watered). The experiment in each environment was laid out in Randomized Block Design (RBD) with three replications. Five plants were selected randomly from each plot for recording observations on traits viz., days to fifty per cent flowering, days to maturity, plant height, spike length, flag leaf area, relative water content (RWC), chlorophyll content, canopy temperature, number of tillers per plant, number of grains per spike, 1000 grain weight, harvest index and grain yield per plant. Germination percentage and seed vigour index (SVI) were recorded in laboratory condition. The 39 genotypes of bread wheat were grouped into seven clusters using Tocher method in both drought stress and irrigated conditions. The genotypes in cluster III and cluster VI, due to maximum inter-cluster distance between them, exhibited a high degree of genetic diversity and thus may be utilized under inter varietal hybridization programme (transgressive breeding) for getting high yielding recombinants in drought stress condition. Similar inter varietal crosses may be attempted between genotypes in cluster III and IV and cluster III and V in a drought environment. The maximum inter-cluster distance was observed between cluster IV and VI followed by cluster III and IV and cluster VI and VII in irrigated condition indicating the chances of getting high yielding recombinants would be better if the crosses are made among the genotypes of these groups. Cluster VI was suitable for grain yield, number of tillers per plant, number of grains per spike, harvest index and chlorophyll content in both environment (drought and irrigated). Therefore, the selection of parents from this cluster for these traits would be effective. Under stress, the genotypes viz., GW 2007-80, WR 1872, NAIW-1607, NAIW-1342 and WR 1743 were found promising as indicated by low drought susceptibility index.

scholarly journals Assessment of Genetic Diversity and Character Associations for Yield and Its Traits in Bread Wheat (Triticum aestivum L.)

2021 ◽  
Author(s):  
Anuj Kumar ◽  
Pooran Chand ◽  
Ravi Singh Thapa ◽  
Tejbir Singh
Keyword(s):  
Genetic Diversity ◽  
Triticum Aestivum ◽  
Grain Yield ◽  
Plant Height ◽  
Harvest Index ◽  
Triticum Aestivum L ◽  
Wheat Crop ◽  
Cluster Distance ◽  
Biological Yield ◽  
Late Sowing

Background: Wheat (Triticum aestivum L.) an important self-pollinated and hexaploid (2n = 6x = 42) cereal crop belongs to the grass family Gramineae (Poaceae). With the gradual increase in human population, there is a substantial increase in the demands for food requirements. Hence, increasing the wheat production is an important goal to overcome the demand of food. The only alternative is to increase productivity by better crop management techniques and introduction of high yielding varieties. The current study aimed to study the genetic diversity in wheat genotypes for further selection and utilization in breeding programmes and identification of transgressive segregants for genetic improvement in wheat crop. Methods: In the field investigation during 2017-2019, forty genotypes were evaluated at research farm of Department of Genetics and Plant Breeding, Kisan P.G. College, Simbhaoli, Hapur (U.P). The observations were recorded on five randomly selected competitive plants from each genotype in each replication and recorded data from each replication was subjected to statistical analysis. Result: Significant differences were observed for all the characters studied in both environments (early and late). Highest GCV and PCV were recorded for flag leaf area, number of tillers per plant and grain yield in both environments. Plant height, days to 50% heading and grain yield in early sowing and for plant height, gluten content and grain yield exhibited high heritability estimates in late sowing. Biological yield and harvest index showed positive and significant association with grain yield under both environments. Biological yield and harvest index have positive and direct effect on grain yield in both environments. Forty genotypes were grouped into seven clusters in early sowing and six clusters in late sowing. Maximum inter cluster distance was observed between clusters VI and IV in early sowing and between cluster III and II in Late sowing. Genotypes PBW-34 showed wide genetic diversity in both the environments (early and late sowing). Based on the divergence studies it is suggested that maximum heterosis and good recombinants could be obtained in crosses between the genotypes of clusters which showed highest inter cluster distance and these genotypes can be utilized in crop improvement programmes.

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 Components of genetic variability and heritability of grain yield of silage maize

Genetika ◽  
2004 ◽  
Vol 36 (2) ◽  
pp. 121-131 ◽  
Author(s):  
Mile Secanski ◽  
Tomislav Zivanovic ◽  
Goran Todorovic ◽  
Gordana Surlan-Momirovic
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Genetic Variance ◽  
Block Design ◽  
Inbred Lines ◽  
Narrow Sense Heritability ◽  
Additive Variance ◽  
Silage Maize ◽  
V Genes ◽  
Set Up

The aim of the present study was to evaluate the following parameters for the grain yield of silage maize: variability of inbred lines and their diallel hybrids, superior-parent heterosis and components of genetic variability and heritability on the basis of the diallel set. The two-year four-replicate trial was set up according to the randomized complete-block design at Zemun Polje. It was determined that a genotype, year and their interaction significantly affected variability of this trait. The highest. i.e. the lowest grain yield, on the average for both investigation years. was recorded in the silage maize inbred lines ZPLB402 and ZPLB405. respectively. The analysis of components of genetic variance for grain yield shows that the additive component (D) was lower than the dominant (H1 and H2) genetic variance, while a positive component F and the frequency of dominant (u) and recessive (v) genes for this observed trait point to prevalence of dominant genes over recessive ones. Furthermore. this is confirmed by the ratio of dominant to recessive genes in parental genotypes for grain yield (Kd/Kr> 1) that is greater than unity in both years of investigation. The estimated value of the average degree of dominance (H1/D)1/2 exceeds unity, pointing out to superdominance in inheritance of this trait in both years of investigation. Results of Vr/Vr regression analysis indicate superdominance in inheritance of grain yield. Moreover. a registered presence of non-allelic interaction points out to the need to study effects of epistasis, as it can have a greater significance in certain hybrids. A greater value of dominant than additive variance resulted in high values of broad-sense heritability for grain yield in both investigation years (98.71%, i.e. 97.19% in 1997, i.e. 1998, respectively). and low values of narrow-sense heritability (11.9% in 1997 and 12.2% in 1998).

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