scholarly journals Morphological variability and genetic diversity of Aman rice germplasm of Bangladesh cultivated in Mymensingh region

2021 ◽  
Vol 8 (4) ◽  
Author(s):  
Fahmida Reza Emi ◽  
Hadisa Khatun ◽  
Fahmina Yasmine ◽  
Ahmed Khairul Hasan ◽  
Mohammad Anwar Hossain
Keyword(s):  
Genetic Diversity ◽  
Grain Yield ◽  
Coefficient Of Variation ◽  
Morphological Variability ◽  
Grain Weight ◽  
Thousand Grain Weight ◽  
Rice Germplasm ◽  
Wide Range ◽  
Positive Direct ◽  
Hill Number

Thirty-one Aman rice germplasm were evaluated to assess their morphological variability and genetic diversity considering ten quantitative and thirty one qualitative traits at the field experimental plot of Bangladesh Institute of Nuclear Agriculture, Mymensingh, following randomized complete block design. The germplasm showed significant differences for all the studied traits. The highest grain yield/plant was recorded in Sentu-16 whereas the lowest was found in Gaindha. The genotypic coefficient of variation (GCV) was lower than those of the corresponding phenotypic coefficient of variation (PCV) for all the traits. High PCV and GCV along with heritability, genetic advance (GA) and GA in percentage of mean were recorded for number of filled grains/panicle and number of unfilled grains/panicle. Grain yield/plant had positively significant correlation with plant height, number of total tillers/hill, number of effective tillers/hill, number of filled grains/panicle and thousand grain weight. Path co-efficient analysis suggested that grain yield/plant had positive direct effect in association with days to fifty percent flowering, number of effective tillers/hill, panicle length, number of filled grains/panicle and thousand grain weight. Principal component analysis revealed that the first three components accounted for 79.57% of cumulative variance. Cluster analyses were revealed that the studied rice germplasm organized into five clusters based on D2 values where maximum inter-cluster distance was observed between cluster II and V. Qualitative characterization by distinctness, uniformity and stability test revealed that a wide range of variation was observed among the genotypes. Therefore, this study would be useful for breeders to choose and identify the revival and preservation of beneficial genes for crop improvement.

scholarly journals Genetic diversity of yield related traits in a large subset of exotic and indigenous rice germplasm collection maintained at Tamil Nadu Agricultural University gene bank

2021 ◽  
Vol 58 (4) ◽  
pp. 487-495
Author(s):  
K Amudha ◽  
G Ariharasutharsan
Keyword(s):  
Genetic Diversity ◽  
Grain Yield ◽  
Genetic Divergence ◽  
Tamil Nadu ◽  
Geographical Origin ◽  
Germplasm Collection ◽  
Grain Weight ◽  
Rice Germplasm ◽  
Cluster Distance ◽  
Clustering Pattern

The present investigation was carried out to explore the extent of genetic divergence in 95 rice germplasm accessions for twelve characters during kharif, 2018. In D2 analysis, the 95 genotypes were grouped into fifteen clusters. The clustering pattern indicated that there was no parallelism between genetic diversity and geographical origin as the genotypes from same origin were included in different clusters and vice versa. The highest intra cluster distance was registered in cluster V (215.183) followed by cluster IX (209.831), cluster VIII (204.057) and cluster XIV (202.623).The maximum inter cluster distance was observed between cluster II and cluster III (991.049) followed by cluster II and cluster X (974.960), cluster III and cluster XI (963.826), cluster II and XII (962.013), cluster X and cluster XI (932.469) and cluster XI and cluster XII (919.151). Genetically distant parents from those clusters could be able to produce higher heterosis in progenies on hybridization. Grain yield per plant, 100 grain weight and days to 50% flowering were the major contributors towards the total genetic divergence among the genotypes studied. Thus selection could be made based on grain yield per plant, hundred grain weight and days to 50%flowering for the progenies identified.

Genetic Variation of Quantitative and Quality Traits in Rice Varieties

2020 ◽  
Vol 23 (1) ◽  
pp. 69-77
Author(s):  
MM Yasmin ◽  
NA Ivy ◽  
MG Rasul ◽  
MM Hossain
Keyword(s):  
Coefficient Of Variation ◽  
Significant Positive Correlation ◽  
Grain Weight ◽  
Genetic Advance ◽  
Thousand Grain Weight ◽  
Rice Varieties ◽  
Positive Correlation ◽  
High Heritability ◽  
Important Trait ◽  
Positive Direct

An investigation was carried out to study the genetic parameters and character association for yield, yield attributing, quality and nutritional traits of twelve rice varieties. Analysis of variance revealed significant differences for all the traits under study indicated the presence of wide genetic variability among the genotypes. Small differences between genotypic coefficient of variation and phenotypic coefficient of variation were recorded for all the characters studied which indicated less influence of environment on these characters. High heritability coupled with high genetic advance was observed for zinc content (brown) and number of chaffy grain per panicle exhibited, indicating that simple selection could be effective for improving these characters. Yield per hill had the highest positive direct effect. This study revealed that yield per hill, days to 50% flowering, days to maturity, panicle length and thousand grain weight are the most important yield contributing characters and an attempt should, therefore, be made for effective selection on these traits. Yield per hill might be considered as the most important trait due to low difference of GCV and PCV, high heritability in broad sense (h2b) with high genetic advance (GA) in percent of mean, significant positive correlation and high positive indirect effects. Another important trait such as days to 50% plants to flowering and thousand grain weight might also be considered due to their minimum difference of GCV and PCV values, high h2b with high GA in percent of mean, significant positive correlation and higher positive direct effects. Ann. Bangladesh Agric. (2019) 23(1) : 69-77

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.

scholarly journals Genetic analysis for various yield components and gluten content in bread wheat (Triticum aestivum L.)

2017 ◽  
Vol 9 (2) ◽  
pp. 879-882
Author(s):  
Sandeep Kumar ◽  
Pradeep Kumar ◽  
S. A. Kerkhi
Keyword(s):  
Triticum Aestivum ◽  
Genetic Analysis ◽  
Grain Yield ◽  
Bread Wheat ◽  
Coefficient Of Variation ◽  
Triticum Aestivum L ◽  
Gluten Content ◽  
Diallel Mating Design ◽  
Wide Range ◽  
Positive Direct

Genetic analysis was carried out in 55 genotypes (10 parents and 45 F1s) through diallel mating design excluding reciprocals in bread wheat (Triticum aestivum L.). Analysis of variance showed wide range of variability among the breeding material for all the traits under study. The highest value of phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were recorded for grain yield (PCV= 9.07 and GCV= 8.08). Highest heritability with genetic advance was recorded for grain yield (h2=10.60 and GA=14.84), therefore selection will be effective based on grain yield for further study. Grains per spike (gr = 0.77 and pr = 0.67) and spikelets per spike (gr= 0.63 and pr = 0.52) were found significantly correlated (at <1 % level of significance) with grain yield whereas gluten content showed nonsignificant but positive correlation with grain yield at both genotypic as well as phenotypic level. Similarly, path coefficient analysis estimates for gluten content (g= 0.08 and p= 0.03) and grains per spike (g=0.36 and p=0.23) showed high positive direct effects on grain yield therefore these traits may be used as an index for selection to high yield in bread wheat genotypes.

scholarly journals The performance of agronomic traits, genetic variability, and correlation studies for yield and its components in some red rice (Oryza sativa) promising lines

2021 ◽  
Vol 22 (9) ◽  
Author(s):  
Gusti Ray Sadimantara ◽  
Dewi Nurhayati Yusuf ◽  
Eka Febrianti ◽  
Sitti Leomo ◽  
Muhidin MUHIDIN
Keyword(s):  
Oryza Sativa ◽  
Genetic Variability ◽  
Grain Yield ◽  
Coefficient Of Variation ◽  
Agronomic Traits ◽  
Grain Weight ◽  
Red Rice ◽  
Panicle Length ◽  
Thousand Grain Weight ◽  
Correlation Studies

Abstract. Sadimantara GR, Yusuf DN, Febrianti E, Leomo S, Muhidin. 2021. The performance of agronomic traits, genetic variability, and correlation studies for yield and its components in some red rice (Oryza sativa) promising lines. Biodiversitas 22: 3994-4001. Improving a new variety commonly depends on the nature and magnitude of genetic variability and its utilization, followed by selection and evaluation before being released into new superior types. The present study aims to estimate the genetic variability and relation between yield and its related traits of the red rice promising lines. The experiment was arranged based on a randomized complete block design (RCBD) with three replications. Analysis of variance revealed significant differences among rice lines for 12 quantitative traits. The phenotypic coefficient of variation (PCV) value was higher than the genotypic coefficient of variation (GCV), indicating a negligible environmental influence in the phenotypic expression of traits. High heritability estimates coupled with high genetic advance were recorded for grain total per panicle and grain yield per hill. Grain yield observed a highly significant positive correlation with panicle length (0.63), percentage of filled grains (0.53), grain weight per panicle (0.54), and thousand-grain weight (0.52). It correlated negatively with days to 50% flowering (-0.61) and days to maturity (-0.48). The study indicated that panicle length, percentage of filled grains, grain weight per panicle, and thousand-grain weight are important yield-related traits and could be used for selection to improve the genetic potential of rice yield.

scholarly journals Genetic Variability and Inter-relationship between Yield and Yield Components in Jhum Rice (Oryza sativa L.) Genotypes of Khagrachhari District in Bangladesh

2020 ◽  
Vol 18 (1) ◽  
pp. 1-9
Author(s):  
Mohammad Zahidul Islam ◽  
Nadia Akter ◽  
Md Ferdous Rezwan Khan Prince ◽  
Nashirum Monir ◽  
Mohammad Khalequzzaman
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Grain Weight ◽  
Genetic Advance ◽  
Significant Difference ◽  
Selection For ◽  
Positive Direct ◽  
1000 Grain Weight

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

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 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.

Assessment of Variability of Foxtail Millet [Setaria italica (L.) Beauv.] Genotypes

2020 ◽  
Vol 7 (2) ◽  
pp. 51-61
Author(s):  
Manoj Kandel ◽  
Suk Gurung ◽  
Narayan Dhami ◽  
Jiban Shrestha
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Morphological Traits ◽  
Foxtail Millet ◽  
Leaf Length ◽  
Grain Weight ◽  
Panicle Length ◽  
Thousand Grain Weight ◽  
Leaf Blast ◽  
Days To Maturity

Analysis of genetic diversity and variability is an initial step for crop development in a plant breeding program. Thirty foxtail millet genotypes were evaluated for their ten agro-morphological traits viz. grain yield, days to heading, days to maturity, plant height, leaf length, leaf width, number of nodes per tiller, panicle length, thousand-grain weight, and leaf blast during April to August season of 2018 at Kabre, Dolakha, Nepal. Clustering was done based on variability observed among the genotypes for all the ten traits by the average linkage method. The genotypes were grouped into six clusters. The shortest inter cluster distance between Cluster I and Cluster II was 17.63 and the longest was between Cluster IV and Cluster VI with 47.55. Cluster I had the maximum leaf blast score with the minimum leaf length. The Cluster II had the maximum grain yield and days to 50% heading and the number of nodes per tiller. The Cluster III was characterized by the maximum leaf length and leaf blast value. The genotypes grouped into the Cluster IV were characterized by the lowest value of days to 50% heading and 80% days to maturity and those of Cluster V had the maximum thousand-grain weight. The genotypes categorized into Cluster VI had the maximum plant height, leaf length, and panicle length. Cluster II and Cluster V were good because of their agro-morphological traits. The presence of a high level of diversity among the genotypes indicated their suitability for selection in crop breeding programs. Correlation analysis of genotypes having the maximum panicle length leaf area and higher plant height and shorter maturity period are pre-requisite for improvement in grain yield.

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.

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