scholarly journals Genetic Variability Assessment in Lowland Rice Cultivars of Bihar, India

2020 ◽  
pp. 39-46
Author(s):  
Nitesh Kushwaha ◽  
Ravi Kant ◽  
Rajesh Kumar ◽  
Nilanjaya . ◽  
Digvijay Singh ◽  
...  
Keyword(s):  
Grain Yield ◽  
Coefficient Of Variation ◽  
Leaf Length ◽  
Main Axis ◽  
Grain Weight ◽  
Genetic Advance ◽  
Panicle Length ◽  
Root Volume ◽  
High Heritability ◽  
1000 Grain Weight

The present investigation for various genetic parameters was done for twenty-two lowland rice genotypes in R.C.B.D. with three replications at Rice Breeding Section, Pusa Farm, Dr. Rajendra Prasad Central Agricultural University, Pusa, Samastipur, Bihar. Analysis of variance revealed significant differences (P-value =0.01) among genotypes for all the characters. Brasali was the highest yielder suggesting that it can be used for crossing programme for improvement in yield. The phenotypic variance was higher than corresponding genotypic variances for all the characters studied. Genotypic coefficient of variation (GCV) and phenotypic coefficient of variation (PCV) were highest for grain yield per plant followed by1000 grain weight, plant height, number of panicles, root volume, leaf length and days to 50 % flowering revealing that sufficient variability was present in the gene pool for these characters. Thus, there is ample scope for genetic improvement of these traits through selection. The broad sense heritability ranged from 23 % (panicle length of main axis) to 97% (1000 grain weight). High heritability was obtained for most of the characters except for panicle length of main axis and kernel width. High heritability accompanied with high genetic advance as percent of mean was recorded for days to 50% flowering, plant height, root volume, number of panicles, 1000 grain weight, leaf length and grain yield per plant. High values of GCV, PCV, heritability and genetic advance as percent of mean observed for various characters indicate that these traits can be used as selection indices for yield improvement.

scholarly journals ESTIMATING VARIABILITY, HERITABILITY, AND GENETIC ADVANCE OF RICE GENOTYPES IN MID-HILLS OF NEPAL

2021 ◽  
Vol 22 (2) ◽  
pp. 92
Author(s):  
Sashi Lamichhane ◽  
Nav Raj Adhikari ◽  
Bishwas K.C. ◽  
Sapana Thapa
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Grain Weight ◽  
Flowering Plant ◽  
Genetic Advance ◽  
Panicle Length ◽  
Breeding Programs ◽  
Significant Difference ◽  
Improvement Programs

<p>Rice is an essential staple food in Nepal but researches and varietal improvement programs are rarely carried out due to inadequate variability study. The field study was carried to diagnose the influence of genetic and environmental factors on yield traits to aid future rice breeding programs. Twelve genotypes were arranged in randomized complete block design with three replications from July to November 2019 at the research field of the Institute of Agriculture and Animal Science, Tribhuvan University, in the hilly area of Nepal. Analysis of variance showed significant difference for days to 50% booting, days to 50% flowering, plant height, panicle length, flag leaf area, filled grains per panicle, unfilled grains per panicle, fertility percentage, effective tillers m<sup>-2</sup>, straw yield, grain yield, 1000-grain weight, and harvesting index indicating the presence of variation in genotypes. LPN BR-1615 was the most promising genotype in grain yield. The values of Phenotypic Coefficient of Variation (PCV) were higher than Genotypic Coefficient of Variation (GCV) for each trait and low difference between them was found for days to 50% booting, days to 50% flowering, plant height, panicle length, grain yield, thousand-grain weight, fertility percentage, and harvesting index. Plant height, effective tillers m<sup>-2</sup>, and grain yield showed high heritability (i.e. 93.2%, 60.5% and 92.6%, respectively) and higher genetic advance as percentage of mean (i.e. 46.5, 34.6 and 50.1, respectively) . Thus, the experiment revealed that selections favoring plant height, effective tillers m<sup>-2</sup>, and grain yield would help in effective breeding programs of rice in future.</p>

scholarly journals HERITABILITY AND GENETIC ADVANCE OF YIELD AND YIELD RELATED TRAITS IN WINTER FEED BARLEY VARIETIES

2020 ◽  
Vol 18 (Suppl.1) ◽  
pp. 40-46
Author(s):  
N. Dyulgerov ◽  
B. Dyulgerova
Keyword(s):  
Field Experiment ◽  
Grain Yield ◽  
Block Design ◽  
Grain Weight ◽  
Spike Length ◽  
Genetic Advance ◽  
Growing Seasons ◽  
High Heritability ◽  
1000 Grain Weight ◽  
Better Than

A field experiment was conducted at the Institute of Agriculture – Karnobat, Southeastern Bulgaria in three growing seasons. Twenty barley varieties were laid out in a complete block design with 4 replications. Variability, heritability and genetic advance for yield-related traits and grain yield were studied. There were significant differences among varieties for all studied traits including grain yield. Heritability in broad sense ranged from 10.10% for grain yield to 94.60% for spike length. High heritability estimates and genetic advance as percent of mean was computed for spike length and 1000 grain weight. Besides, genotypic coefficient of variance and phenotypic coefficient of variance had low differences for these characters. Therefore, these traits could be easily improved by selection. Grain yields of the check varieties Veslets and Izgrev were 5.27 t/ha and 5.09 t/ha, respectively. The varieties that performed better than the checks for grain yield were PA86-49-95 (6.43 t/ha), Bojin (6.01 t/ha), and Express (5.90 t/ha). Hence, using these varieties in the breeding program of winter feed barley could lead to the improvement of grain 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

Study onGenetic Variability, Heritability and Genetic Advance for Seed Yield and Component Traits in Rice

2017 ◽  
Vol 4 (03) ◽  
Author(s):  
PUNIT KUMAR ◽  
VICHITRA KUMAR ARYA ◽  
PRADEEP KUMAR ◽  
LOKENDRA KUMAR ◽  
JOGENDRA SINGH
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Seed Yield ◽  
Flag Leaf ◽  
Grain Weight ◽  
Major Influence ◽  
Genetic Advance ◽  
Component Traits ◽  
Biological Yield ◽  
1000 Grain Weight

A study on genetic variability, heritability and genetic advance for seed yield and component traits was made in 40 genotypes of riceduring kharif 2011-2012 at SHIATS, Allahabad. The analysis of variance showed highly significant differences among the treatments for all the 13 traits under study.The genotypes namely CN 1446-5-8-17-1-MLD4 and CR 2706 recorded highest mean performance for panicles per hill and grain yield. The highest genotypic and phenotypic variances (VG and VP) were recorded for spikelets per panicle (3595.78 and 3642.41) followed by biological yield (355.72 and 360.62) and plant height (231.48 and 234.35).High heritability (broad sense) coupled with high genetic advance was observed for plant height, flag leaf length, panicles per hill, tillers per hill, days to maturity, spikelet’s per panicle, biological yield, harvest index, 1000 grain weight and grain yield, indicating that selection will be effective based on these traits because they were under the influence of additive and additive x additive type of gene action. Highest coefficient of variation (PCV and GCV) was recorded for tillers per hill (18.42% and 17.23%), panicle per hill (19.76 % and 18.68%), spikelet’s per panicle (34.30 and34.07 %), biological yield (28.31 % and 28.12 %), 1000 grain weight (15.57 % and 15 31 %) and grain yield (46.66% and 23.54 %), indicating that these traits are under the major influence of genetic control, therefore the above mentioned traits contributed maximum to higher grain yield compared to other traits, indicating grain yield improvement through the associated traits.

scholarly journals Variability, Heritability, Genetic Advance and Interrelationships for Agronomic and Yield Traits of Sorghum B-Lines under Different Environments

2018 ◽  
pp. 1-13
Author(s):  
A. M. M. Al-Naggar ◽  
R. M. Abd El-Salam ◽  
M. R. A. Hovny ◽  
Walaa Y. S. Yaseen
Keyword(s):  
Grain Yield ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Selection Criterion ◽  
Genetic Advance ◽  
Planting Dates ◽  
High Heritability ◽  
Selection For ◽  
Strength Of Association ◽  
B Lines

Information on heritability and trait association in crops assist breeders to allocate resources necessary to effectively select for desired traits and to achieve maximum genetic gain with little time and resources. The objectives of this investigation were to determine the amount of genetic variability, heritability, genetic advance and strength of association of yield related traits among sorghum lines under different environments in Egypt. Six environments with 25 sorghum B-lines were at two locations in Egypt (Giza and Shandaweel) in two years and two planting dates in one location (Giza). A randomized complete block design was used in each environment with three replications. Significant variation was observed among sorghum lines for all studied traits in all environments. Across environments, grain yield/plant (GYPP) showed positive and significant correlations with number of grains/plant (r = 0.71), days to flowering (r = 0.47), 1000-grain weight (r = 0.16) and plant height (PH) (r = 0.19). In general, the estimates of phenotypic coefficient of variation (PCV) were higher than genotypic coefficient of variation (GCV). Combined across the six environments, the highest PCV and GCV was shown by PH trait (95.14 and 43.57%) followed by GYPP (36.42 and 30.78%), respectively, indicating that selection for high values of these traits of sorghum would be effective. GYPP and PH traits showed high heritability associated with high genetic advance from selection, indicating that there are good opportunities to get success in improvement of these traits via selection procedures. Results concluded that PH is good selection criterion for GYPP and therefore selection for tall sorghum plants would increase grain yield.

scholarly journals Genetic Variability and Its Implications on Early Generation Sorghum Lines Selection for Yield, Yield Contributing Traits, and Resistance to Sorghum Midge

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Massaoudou Hamidou ◽  
Abdoul Kader M. Souley ◽  
Issoufou Kapran ◽  
Oumarou Souleymane ◽  
Eric Yirenkyi Danquah ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Resistant Variety ◽  
Genetic Advance ◽  
Planting Dates ◽  
Sorghum Midge ◽  
High Heritability ◽  
Panicle Weight

Sorghum is the second most important cereal crop in Niger. The crop is grown in a wide range of ecological environments in the country. However, sorghum grain yield in Niger is limited by both abiotic and biotic constraints. Recombinant inbred lines derived from the cross of a local variety with a midge resistant variety and two local checks were evaluated during the 2015 rainy season across two planting dates in two environments in Niger. The objective was to investigate genetic variability for yield, yield related traits, and resistance to sorghum midge. High phenotypic coefficient of variation (PCV) versus genotypic coefficient of variation (GCV) was observed in both sites and planting dates. Across planting dates at both Konni and Maradi, grain yield, plant height, panicle weight, and midge damage had high heritability coupled with high estimates of genetic advance. At Konni, high genetic advance coupled with high heritability was detected for grain yield, plant height, panicle weight, and resistance to midge. There were similar results at Maradi for grain yield, plant height, and panicle weight. Therefore, selection might be successful for the above characters in their respective environments.

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.

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 Character Association Studies in Lowland Rice Cultivars of Bihar

2020 ◽  
pp. 31-39
Author(s):  
Nitesh Kushwaha ◽  
Ravi Kant ◽  
Rajesh Kumar ◽  
.` Nilanjaya ◽  
Digvijay Singh ◽  
...  
Keyword(s):  
Grain Yield ◽  
Association Studies ◽  
Block Design ◽  
Main Axis ◽  
Lowland Rice ◽  
Panicle Length ◽  
Root Volume ◽  
Yield Improvement ◽  
Grain Length ◽  
Improvement Programs

The present investigation was carried out with aim to deduce the association among different characters with grain yield, i.e. their mutual relation with help of correlation analysis as well as to identify the component trait which are directly or indirectly contributing to the yield. The experiment was carried out at Rice Breeding Section, Pusa, Samastipur in kharif, 2018 from June, 26 to December 28. Total of twenty-two lowland rice accessions were sown in Randomized complete Block design Fashion (R.C.B.D.), with three replications. Fifteen characters including grain yield were observed for the experiment and data was collected at respective stages. The correlation coefficient analysis revealed that grain length, root volume, panicle length of main axis, number of panicles per hill, showed positive significant correlation with grain yield per plant. Hence, emphasis should be given to these traits in selection process during yield improvement programs. Grain length, root volume, panicle length of main axis and leaf length showed high direct effect on grain yield per plant. Hence, selection based on these characters would be more effective for yield improvement.

scholarly journals THE INHERITANCE OF YIELD AND YIELD COMPONENTS OF FIVE WHEAT HYBRID POPULATIONS UNDER DROUGHT CONDITIONS

2016 ◽  
Vol 8 (2) ◽  
pp. 53 ◽  
Author(s):  
Nisar Ahmed ◽  
Muhammad Aslam Chowdhry ◽  
Ihsan Khaliq ◽  
Masahiko Maekawa
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Block Design ◽  
Grain Weight ◽  
Spike Length ◽  
Genetic Advance ◽  
Wheat Varieties ◽  
Breeding Programs ◽  
Drought Conditions ◽  
1000 Grain Weight

The magnitude of genetic inheritance and expected genetic advance are important for the prediction of response to selection in diverse environments and provide the basis for planning and evaluating breeding programs. This work investigated the inheritance of traits related to drought in wheat under natural drought conditions. Cross combinations were made to produce F1 and F2 hybrid populations, which were evaluated in a randomized completed block design with three replications at University of Agriculture, Faisalabad, Pakistan. Six wheat varieties/lines and six derived F2 hybrids were studied to ascertain heritability and genetic advance for plant height, days taken to maturity, number of tillers per plant, spike length, number of grains per spike, 1000-grain weight, and grain yield per plant. Data were collected and subjected to statistical genetic analyses. Heritability estimates and expected genetic advance for plant height, days taken to maturity, number of tillers per plant, 1000-grain weight and grain yield per plant were high for the entire cross combinations while the estimates for spike length and number of grains per spike were relatively low. Our results suggest that improvement for these characters should be faster because of higher heritabilities and greater phenotypic variation. Prospects of genetic improvement for all the characters studied are evident. The most promising cross combinations were WL60 × LU26S and WL61 × LU26S. These traits, therefore, deserve better attention in future breeding programs for evolving better wheat for stress environments. <br /><br />

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