scholarly journals Varietal Evaluation and Genetic Variability in Rice (Oryza sativa L.) Genotypes of the Mid-Hill Region of Nepal

2020 ◽  
Vol 3 (2) ◽  
pp. 580-592
Author(s):  
Laxmi Pd. Joshi ◽  
Subarna Sharma ◽  
Ankur Poudel ◽  
Bishnu Pd. Kandel
Keyword(s):  
Leaf Area ◽  
Coefficient Of Variation ◽  
Environmental Influence ◽  
Oryza Sativa L ◽  
Flag Leaf ◽  
Block Design ◽  
Direct Selection ◽  
Rice Varieties ◽  
Rice Genotypes ◽  
Selection Of

The objectives of this study were to identify promising rice genotypes and evaluate the genetic variance and effectiveness of selection of the rice varieties for several yield attributing traits. A varietal trial of fifteen rice genotypes was laid out in a randomized complete block design (RCBD) with three replications in a farmer’s field in Sundarbazar, Lamjung, Nepal during the rainy season of 2018. Analysis of variance indicated that all the genotypes showed significant variation for all the traits considered. The phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all the characteristics being studied indicating the presence of environmental influence on the traits. High heritability coupled with high genetic advance as a percent of the mean was found for days to physiological maturity, number of tillers per m2, plant height, leaf area, effective tillers per m2, flag leaf area, test weight, grains per panicle, filled grains per panicle, harvest index, grain yield, and straw yield indicating that additive gene interaction is present in their inheritance. Direct selection can be effective for yield improvement in the populations through selection of these traits. Cluster analysis based on eighteen traits grouped the fifteen rice genotypes into four clusters. Cluster I was the largest and consisted of five genotypes. Radha 11, NR 119, and Sukhadhan-5 were the top performing genotypes having yield potentials of 5.78, 5.49, and 4.89 tons per ha, respectively.

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 Performance of F2 Rice (Oryza sativa L.) Segregants Derived from a Cross the BPT-5204 / IR-64Drt1

2020 ◽  
pp. 31-47
Author(s):  
Anjani Kumar ◽  
D. N. Singh ◽  
Krishna Prasad ◽  
Avinash Pandey
Keyword(s):  
Grain Yield ◽  
Field Condition ◽  
Significant Variation ◽  
Oryza Sativa L ◽  
Block Design ◽  
Drought Condition ◽  
Normal Field ◽  
Randomized Block Design ◽  
Rice Genotypes ◽  
Selection Of

The present investigation was carried out with F2 plants from a cross between two parents i.e., BPT-5204 and IR-64Drt1. The selection of parents for crosses was made based on genotypes that were tolerant and susceptible to drought condition. BPT-5204 was drought susceptible and IR-64Drt1 was also tolerant to drought. In this experiment adequate amount of variability was detected for grain yield per plant and its components among 324 segregants evaluated under augmented randomized block design II in normal field condition. The analysis of variance for grain yield and its attributing characters among blocks, treatments, entries, checks and checks vs entries revealed presence of significant variation in the segregants studied. However, with respect to checks, non-significant differences were recorded for only L/B ratio. The results indicated that among 324 rice genotypes including checks, only 9 rice genotypes expressed higher yield compared to seven checks varieties under normal field condition. The segregants S-51, S-122, S-135, S-195, S-199, S-210, S-219, S-222, S-251 were top ranking genotypes with respect to all checks.

scholarly journals Genetic variability analysis for various yield attributing traits in rice genotypes

2017 ◽  
Vol 15 (1) ◽  
pp. 15-19
Author(s):  
MM Rashid ◽  
M Nuruzzaman ◽  
L Hassan ◽  
SN Begum
Keyword(s):  
Genetic Variability ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Direct Selection ◽  
Genetic Advance ◽  
Randomized Complete Block Design ◽  
Additive Gene ◽  
High Heritability ◽  
Rice Genotypes ◽  
Selection For

An experiment was conducted using a randomized complete block design to estimate genetic variability of ten rice genotypes. Analysis of variance for yield and yield contributing traits showed significant (p<0.01) variation among the genotypes. Results of genetic analyses showed a higher phenotypic coefficient of variation compared to their corresponding genotypic coefficient of variation for all the traits measured, which indicates that the traits were influenced by environment. The magnitude of difference between phenotypic coefficient of variance (PCV) and genotypic coefficient of variance (GCV) was less for the traits indicating little influence of environment. The higher estimates of PCV and GCV were observed for number of filled grains panicle–1 (27.53; 26.84), number of unfilled grains panicle–1 (26.76;25.28) and plant height (23.14; 23.00) indicates possibility of genetic improvement through direct selection for these traits, while days to 50% flowering, days to maturity, panicle length, number of effective tillers plant–1, fertility (%), 1000 Seed weight and yield panicle–1 showed low PCV and GCV values indicating the need for creation of variability by hybridization or mutation followed by selection. High heritability values (>60%) along with high genetic advance and genetic advance as percentage of mean were found for all the traits indicating prevalence of additive gene action, which provides good scope for further improvement by selection.J. Bangladesh Agril. Univ. 15(1): 15-19, January 2017

scholarly journals Genetic variability, correlation and path analysis for yield and its component traits in restorer lines of rice

2019 ◽  
Vol 44 (2) ◽  
pp. 291-301 ◽  
Author(s):  
MZ Islam ◽  
MAK Mian ◽  
NA Ivy ◽  
N Akter ◽  
MM Rahman
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Coefficient Of Variation ◽  
Environmental Influence ◽  
Flag Leaf ◽  
Positive Association ◽  
Spikelet Fertility ◽  
Genetic Advance ◽  
High Heritability ◽  
Positive Direct

Twenty nine restorer lines of rice were evaluated for fourteen agro-morphological traits during Boro (irrigated rice) season of 2012-2013 at Bangabandhu Sheikh Mujibur Rahman Agricultural University (BSMRAU), Gazipur, and Bangladesh. Analysis of variance revealed significant differences among the restorer lines for all the traits studied.The phenotypic coefficient of variation (PCV) was higher than genotypic coefficient of variation (GCV) for all the traits indicating the presence of little environmental influence in the phenotypic expression. Heritability estimate was found high for all the yield contributing traits. High heritability along with high genetic advance as per cent of mean was recorded for secondary branches per panicle followed by number of effective tillers, flag leaf area and panicle weight. Contrary, days to flowering and days to maturity showed high heritability coupled with low genetic advance as per cent of mean. Pearson correlation revealed grain yield had positive association with number of effective tillers per hill, panicle length, spikelet fertility, flag leaf area, plant height and thousand grain weights. Mentioned characters also found positive association with yield in both genotypic and phenotypic level. Spikelet fertility, number of secondary branches per panicle, thousand grain weights and number of effective tiller possessed higher positive direct effect on grain yield. It indicated the importance of these traits as selection criteria of yield improvement in hybrid rice programme. Bangladesh J. Agril. Res. 44(2): 291-301, June 2019

scholarly journals Exploring the Relationship between Yield and Yield Attributing Traits in Advanced Breeding Lines of Rice (Oryza sativa L.)

2021 ◽  
pp. 350-358
Author(s):  
Danish Mushtaq ◽  
Bupesh Kumar ◽  
Praveen Singh ◽  
Manmohan Sharma ◽  
Ashish Sheera
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Oryza Sativa L ◽  
Association Studies ◽  
Block Design ◽  
Phenotypic Expression ◽  
Panicle Length ◽  
Rice Varieties ◽  
Breeding Lines

Aim: Present study endeavors to explore the genetic variability for various agro-morphological and quality traits as well as to delineate the association between grain yield and its yield attributing components Study Design: Randomized Complete Block Design Place and Duration of Study: Division of Plant Breeding and Genetics, She-e-Kashmir University of Agricultural Sciences and Technology of Jammu during kharif 2020. Methodology: A experiment was carried out to determine the association between grain yield and yield attributing components among advanced breeding lines of rice to establish a well grounded selection criteria for developing rice varieties with improved grain yield. Phenotypic coefficient of variation (PCV) was found to be relatively greater than the genotypic coefficient of variation (GCV) for most of traits indicating role of environment in the phenotypic expression of traits. Characters viz., plant height, total number of tillers per plant, number of effective tillers per plant, panicle length and grain yield per plant exhibited high heritability coupled with high genetic advance indicating their efficient inheritance from preceding generations. Results: Association studies indicated that characters viz., Plant height, total number of tillers per plant, number of effective tillers per plant, panicle length, 1000 grain weight and grain yield per plant had a significant positive relationship with grain yield per plot indicating their role in breeding rice varieties for higher grain yield. Conclusion: Cause and effect relationship revealed that traits viz., days to 50 per cent flowering, total number of tillers per plant, days to maturity, panicle length and grain yield per plant can be exploited for indirect selection for improving grain yield.

scholarly journals "Selection of several genotype of genetically modified rice (Oryza sativa L.) under the conditions of AlNajaf Governorate in terms of vegetative growth, yield and its components. "

2021 ◽  
Vol 8 (2) ◽  
Author(s):  
Mohammed H. N. AL-Jana ◽  
Faisal M. M. AL-Taher ◽  
Fuad R. Abdel Hussain
Keyword(s):  
Oryza Sativa L ◽  
Flag Leaf ◽  
Block Design ◽  
Growth Yield ◽  
Field Performance ◽  
Research Station ◽  
Randomized Complete Block Design ◽  
Biological Yield ◽  
Selection For ◽  
Selection Of

"The experiment was carried out during growing season (2018-2019) at the Rice Research Station in Mishkhab / AL-Najaf-Iraq, The seeds of 27 genotypes were sowing with the aim of selecting the best economically yielding genotypes for cultivation under the conditions of ALNajaf. The experiment was arranged with a randomized complete block design with four replication. The results showed significant differences between the genotypes for all the traits under study. The G27 genotype showed superiority for traits exceeded, number of grains per panicle, grain yield ton. ha-1 , the biological yield ton. ha-1 and the sterility percentage (%), with averages were 220.17, 13.34, 27.95, and 4.48, respectively. Whereas, the genotype G14 was superior with the characteristics of the number of fertile panicles and the duration of fullness the grain, which averaged 37.00 and 82.25 respectively, while the genotype G13 was significant for weight of 1000 grains (g), and the genotype G21 was superior with the flag leaf area which gave an average 32.45 cm2 . Through this study, genotypes (G1, G2, G12, G15, G16, G17, G18, G21, G25 and G27) showed the best field performance in terms of growth characteristics and the outcome of their selection for the second agricultural season."

scholarly journals Genetic variability, heritability, correlation and path analyses of yield components in traditional rice (Oryza sativa L.) landraces

2019 ◽  
Vol 17 (1) ◽  
pp. 26-32 ◽  
Author(s):  
Setu Rani Saha ◽  
Lutful Hassan ◽  
Md. Ashraful Haque ◽  
Mirza Mofazzal Islam ◽  
Md. Rasel
Keyword(s):  
Genetic Variability ◽  
Leaf Area ◽  
Pollen Fertility ◽  
Flag Leaf ◽  
Direct Selection ◽  
Improvement Program ◽  
Yield Improvement ◽  
Yield Attributes ◽  
Panicle Number ◽  
Selection Of

The presence of sufficient genetic variability, the knowledge of nature of association among different characters and relative contribution of different characters to yield is a prerequisite to any breeding programme. The aim of the present study was to estimate genetic parameters of thirteen yield and yield attributing traits in 40 landraces of rice with a view to select better yield attributes in rice. The higher value of phenotypic co-efficient of variation (PCV) compared to the corresponding genotypic coefficient of variation (GCV) for all the studied traits indicated that there was an influence of the environment. Number of unfilled grains per panicle exhibited high estimates of PCV and GCV followed by number of filled grains per panicle, number of grains per panicle, flag leaf area. High heritability coupled with high genetic advance was observed in flag leaf area, pollen fertility, number of grains per panicle and number of filled grains per panicle which reflected that the direct selection of these characters based on phenotypic expression by simple selection method for yield improvement would be more reliable Grain yield per plant showed significant and positive association with days to 50% flowering, days to maturity, flag leaf area, number of total tillers per hill, number of effective tillers per hill, pollen fertility, number of grains per panicle, number of filled grains per panicle indicating selection of these characters for yield improvement may be rewarding. Both at phenotypic and genotypic level, days to 50% flowering, flag leaf area, number of effective tillers per hill, pollen fertility, panicle length, number of grains per panicle and 100 seed weight had direct positive effect on yield per plant indicating their importance during selection in yield improvement program. Moreover, the information generated from this study, can be exploited in future rice breeding program. J. Bangladesh Agril. Univ. 17(1): 26–32, March 2019

scholarly journals Performance of hybrid Boro rice in coastal area of Bangladesh

2019 ◽  
Vol 30 (2) ◽  
pp. 186-193
Author(s):  
R Mahmood ◽  
MHK Howlader ◽  
MZ Haque
Keyword(s):  
Growth Rate ◽  
Leaf Area ◽  
Coastal Area ◽  
Block Design ◽  
Morphological Characters ◽  
Research Field ◽  
Rice Varieties ◽  
Area Index ◽  
Rice Genotypes ◽  
Boro Rice

The present experiment was conducted at the research field of Patuakhali Science and Technology University (PSTU), Patuakhali to evaluate the Performance of hybrid boro rice (genotypes) in coastal area of Bangladesh. The experiment consisted of five rice varieties as treatment such as Arize Tej, Tea Sakti, Shathi and BRRI Dhan 28. Data were collected on morphological characters such as plant height, number of leaves plant-1 and leaf area hill-1, growth characters such as leaf area index (LAI), crop growth rate (CGR) and relative growth rate (RGR), yield and yield components such as number of effective tillers hill-1,number of non effective tillers hill-1, panicle length, number of filled grains panicle-1, number of unfilled grains panicle-1, 1000 grain weight, grain yield, straw yield, biological yield and harvest index (%) were recorded. The experiment was laid out in a completely randomized block design (RCBD) with three replications. The collected data were analyzed statistically and means were adjudged by DMRT at 5% level of probability. Among the five varieties the Arize Tej gave the highest performance. From the above investigated results, it was observed that the Arize Tej was the most efficient for better growth and higher yield of  hybrid boro rice genotypes grown in coastal area of Bangladesh. Progressive Agriculture 30 (2): 186-193, 2019

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 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.

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