scholarly journals Genetic Parameters and Selection Indices in F3 Progenies of Hill Rice Genotypes

2012 ◽  
Vol 4 (4) ◽  
pp. 110-114 ◽  
Author(s):  
Gulzar S. SANGHERA ◽  
Subhash C. KASHYAP
Keyword(s):  
Grain Yield ◽  
Harvest Index ◽  
Genetic Parameters ◽  
Flag Leaf ◽  
Leaf Length ◽  
Genetic Advance ◽  
Days To Maturity ◽  
Biological Yield ◽  
Effect On Yield ◽  
Flag Leaf Length

The F3 population of eighteen different cross combinations using five local and seven exotic genotypes was used to study the genetic parameters, heritability, correlation and path coefficients for fourteen quantitative characters under temperate conditions. The selected progenies showed highly significant difference for most of the agro-morphological characters. Comparatively high phenotypic coefficients of variation were observed for all the character than genotypic coefficient variation. High heritability (%) was recorded for days to 50% flowering (96%) followed by days to maturity (95%) and grain yield per plant (84%). High genetic advance were observed for grain yield (47%) followed by biological yield/plant (27%) and harvest index (25%). Days to 50% flowering was positively and significantly correlated with days to maturity, grain length with LB ratio flag leaf length with grain breadth and panicle length with grain breadth at genotypic level. Path coefficient analysis revealed that harvest index and biological yield has highest direct effect on yield followed by days to maturity and number of grain per panicle. Biological yield per plant has highest indirect effect on yield via days to flowering followed by grain weight via biological yield per plant, grain breadth via days to 50 % flowering and flag leaf length via biological yield per plant. Therefore, information on the genetic parameters such as coefficient of variation, heritability, genetic advance and the influence of environment on the expression of these characters will help the breeder to evolve suitable cultivars within a short time for hill ecologies.

Estimate of genetic parameters and correlation coefficient analysis for yield and its traits in bread wheat (Triticum aestivum L.)

2019 ◽  
Vol 4 (02) ◽  
pp. 135-139
Author(s):  
Ravi Kumar ◽  
Anant Kumar ◽  
Joginder Singh
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Plant Height ◽  
Harvest Index ◽  
Flag Leaf ◽  
Grain Weight ◽  
Genetic Advance ◽  
Days To Maturity ◽  
Biological Yield ◽  
1000 Grain Weight

Genetic variability, heritability, genetic advance and correlation coefficients were studied in 104 genotypes of wheat genotypes for yield and yield contributing traits. Both GCV and PCV were found to be moderate for flag leaf area, biological yield per plant, grain yield per plant and ash content. The days to ear emergence, days to maturity, plant height, harvest index and 1000-grain weight low GCV and PCV values were observed. Number of productive tillers per plant and spike length recorded moderate value of PCV and low value of GCV. High estimate of heritability in narrow sense was recorded for number of productive tillers per plant, biological yield per plant, harvest index and grain yield per plant, while it was moderate for days to ear emergence, days to maturity, plant height, flag leaf area, spike length, grains per spike and low heritability were recorded for 1000-grain weight. High heritability coupled with high genetic advance in per cent of mean was recorded for biological yield per plant and grain yield per plant. Grain yield per plant exhibited highly significant and positive association with 1000-grain weight, harvest index, biological yield per plant, grains per spike, number of productive tillers per plant and days to maturity.

scholarly journals Genetic Association and Path Coefficient Analysis for Grain Yield Characters in Elite Rice (Oryza sativa L.) Germplasm

2021 ◽  
pp. 94-99
Author(s):  
N. Nikitha Reddy ◽  
Gabrial M. Lal ◽  
B. Pragathi ◽  
P. Nikhil
Keyword(s):  
Grain Yield ◽  
Harvest Index ◽  
Flag Leaf ◽  
Leaf Length ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Biological Yield ◽  
Flag Leaf Length ◽  
Positive Direct ◽  
Hill Number

The study was carried out to study the correlation and path coefficient analysis for grain yield characters in 36 rice genotypes including one check for 13 quantitative parameters. The experimental material was carried out during Kharif, 2020, in a randomized block design with three replications obtained from the Department of Genetics and Plant Breeding, SHUATS, Allahabad, U.P., India. Analysis of variance revealed that there is significant variability among the genotypes. Correlation coefficient analysis at genotype level and phenotypic level revealed that plant height, flag leaf length, flag leaf width, number of tillers per hill, number of panicles per hill, number of spikelets per panicle, biological yield, and harvest index, showed positive significant correlation with grain yield per plant. Path coefficient analysis at both genotypic and phenotypic levels revealed that flag leaf length, number of panicles per hill, days to maturity, biological yield, harvest index and test weight had positive direct effect on grain yield per hill. Biological yield per hill (0.8481) exerted high positive direct effect as well as high positive significant association (0.809**) with grain yield per hill thus this character resulted as most essential direct yield character.

scholarly journals Estimates of genetic parameters for grain yield, various yield components and some quality traits in rice (Oryza sativa L.)

2018 ◽  
Vol 10 (1) ◽  
pp. 459-465
Author(s):  
Gaurav Kamboj ◽  
Pradeep Kumar ◽  
Devi Singh
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Genetic Parameters ◽  
Amylose Content ◽  
Flag Leaf ◽  
Kernel Length ◽  
Days To Maturity ◽  
Excellent Candidate ◽  
Biological Yield ◽  
1000 Grain Weight

A study was conducted during two crop season (Kharif, 2011-12 and 2012-13) for estimating the genetic parameters by involving 10 parents and their 45 F1s in rice crop. The estimates of h2 (overall dominance effects) were positive and significant for days to 50 % flowering (9.11), days to maturity (0.24), plant height (2.95), panicle length1(39), productive tillers per plant (3.22), branches per panicle (5.61), flag leaf area (5.50), 1000-grain weight (0.27), biological yield (7.35) and amylose content (1.03) which indicated dominance of genetic components in F1s crosses. The theoretical value (0.25) of (H2/4H1) for all the traits except kernel length and amylose content indicated the asymmetrical distribution of positive and negative genes in the parents. The proportion of dominant and recessive alleles for panicle length, productive tillers, branches per panicle, 1000 grain weight, biological yield, kernel length and L/B ratio reflected more dominant alleles, whereas for days to 50 % flowering, days to maturity, plant height, grains per panicle, flag leaf area, grain yield, harvest index, kernel breadth, kernel length after cooking, elongation ratio, amylose content and hulling %, reflected more recessive alleles in the parents. The estimates of specific combining ability (SCA) effects revealed that the cross Vallabh Basmati 21 x Pusa 1121 could be an excellent candidate for improving grain yield (1.52**), harvest index (1.86**) and flag leaf area (6.20**) whereas Pusa 1121 x CSR 10 is excellent candidate for panicle length (0.89**) and amylose content (1.54**). The characters showing more than 60 % narrow sense heritability along with positive and significant correlation with each other and also with grain yield could be rewarding for further improvement of yield and quality in rice. Therefore, these parental lines can be used as donors in future by following bi-parental mating and the diallel selective mating system could be the best breeding method in an early segregating generation for improvement in these traits in rice crop.

scholarly journals Line × tester Study in Bread Wheat (Triticum aestivum L.) for Important Biochemical and Morphological Traits

2022 ◽  
Author(s):  
Anand Kumar ◽  
Lokendra Singh ◽  
Prashant Kaushik
Keyword(s):  
Grain Yield ◽  
Harvest Index ◽  
Morphological Traits ◽  
Triticum Aestivum L ◽  
Genetic Advance ◽  
Biochemical Traits ◽  
Days To Maturity ◽  
Biological Yield ◽  
High Heritability ◽  
F1 Generation

: Using line × tester analysis, the current research analyses parental genotypes and their combinations in normal conditions and identifies the genes influencing yield characteristics. In the present study, 15 diverse genotypes, including 10 lines, 5 testers, and 50 F1s hybrids, were evaluated for 13 morphological and 2 biochemical traits. A suitable location was taken to study the effect of 15 characters. The results exposed that ability mean squares were significant for all studied additive and non-additive components. In this direction, the general combining ability of PBW-343, DBW-39, K-402, K-1317, KRL-210, and K-68 were higher than the remaining parents. For morphological traits like yield, the top five crosses were described based on SCA effects, namely, HD-3086 × HD-3171, K-402 × K-9107, K-1317 × K-9107, HD-2967 × K-0307 and K-402 × K-68 in F1 generation. In addition, the high value of heritability was estimated for plant height (77.32%), spike length (32.26%), biological yield/plant (59.52%), and grain yield/plant (68.76%). However, the moderate values of heritability were estimated for days to maturity (22.78%) and phenol color reaction (18.00%). The higher genetic advance was not found for recorded characters; however, a moderate genetic advance was recorded for grain yield per plant (13.15%) and harvest index (11.72%). High heritability coupled with moderate genetic advance was recorded for two characters grain yield per plant and harvest index in F1 and F2 generations.

scholarly journals Evaluation of F4 Bread Wheat (Triticum aestivum l.) Genotypes for Genetic Variability, Heritability, Genetic Advance and Correlation Studies

2018 ◽  
Vol 6 (1) ◽  
pp. 01-07 ◽  
Author(s):  
Amir Sohail ◽  
Hidayatur Rahman ◽  
Farhat Ullah ◽  
Syed M.A. Shah ◽  
Tanvir Burni ◽  
...  
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Harvest Index ◽  
Flag Leaf ◽  
Grain Weight ◽  
Spike Length ◽  
Genetic Advance ◽  
Days To Heading ◽  
Biological Yield ◽  
1000 Grain Weight

This research was carried out to check genetic variability, heritability and genetic advance in 11 F4 bread wheat (Triticum aestivum L.) genotypes (10 F4 lines and one check) in a randomized block design with three replications at the University of Agriculture Peshawar, Pakistan during 2015-16. Data was/were taken on parameters such as days to heading (days), plant height (cm), flag leaf area (cm2), spike length (cm), grain weight spike-1 (g), 1000-grain weight (g), grain yield plant-1 (g), biological yield plant-1 (g)and harvest index (%). The statistically significant difference(s) was/were detected for the investigated traits.  The high magnitude of heritability (˃0.62) was noted for all parameters except spike length (0.57) which was moderate. Low expected genetic advance was recorded for days to heading (3.90%) and spike length (8.13%), moderate expected genetic advance was observed for plant height (9.95%), grain weight spike-1 (11.54%) and 1000 grain weight (13.41%), while high expected genetic advance was noted for flag leaf area (24.72%), grain yield plant-1 (20.45%), biological yield plant-1 (23.64%) and harvest index (24%). Grain yield plant-1 was non-significantly and positively correlated with days to heading (rG = 0.19NS and rP = 0.07 NS),  plant height (rG = 0.30 NS and rP = 0.26 NS), flag leaf area (rG = 0.25 NS and rP = 0.18 NS), spike length (rG = 0.01 NS and rP = 0.07 NS), grain weight spike-1 (rG = 0.28 NS and rP = 0.22 NS) and 1000-grain weight (rG = 0.02 NS and rP = 0.07 NS) at both genotypic and phenotypic levels. While significantly and positively correlated with biological yield plant-1 (rG = 0.34* and rP = 0.33*) and harvest index (rG = 0.58** and rP = 0.66**) at both genotypic and phenotypic levels. High heritability showed that these traits are under genetic control and single plant selection could be started in F5 generation. The strong correlation of grain yield plant-1 with the mentioned traits showed that grain yield could be indirectly improved by improving these traits.

scholarly journals ASSESSMENT OF YIELD COMPONENTS AND THEIR ASSOCIATION IN F2 POPULATIONS OF WHEAT

2017 ◽  
Vol 1 ◽  
pp. 326
Author(s):  
Touheed Iqbal ◽  
Ghulam Hassan, Iqbal Hussain, Saad Saeed
Keyword(s):  
Grain Yield ◽  
Harvest Index ◽  
Flag Leaf ◽  
Block Design ◽  
Wheat Yield ◽  
Wheat Breeding ◽  
Genetic Advance ◽  
Component Traits ◽  
Biological Yield ◽  
Final Yield

Keeping in view the role of wheat in Pakistan, the current research was conducted to compute the extent of transmissibility and to derive information on the correlation of grain yield with its component traits. Sixteen F2 populations of wheat and their eight parental lines were evaluated at the University of Agriculture, Peshawar-Pakistan during wheat season of 2013-14. Experiment was conducted in randomized complete block design with three replicates. Analysis of variance manifested significant differences among genotypes for all the studied traits. Similarly, mean squares due to parents, F2 populations and parents vs. F2`s were also significant for all the traits under study except harvest index. On the basis of mean performance, maximum grain yield plant-1 among parents was given by Fakhr-e-Sarhad (27.16 g) and PS-05 (26.06 g), while among F2 populations, maximum grain yield plant-1 was given by cross combinations Barsat / Siren (27.93 g), AUP-5008 / Siren (26.09 g) and Tatara / PS-05 (25.65 g). The assessments of heritability and genetic advance manifested that F2 populations, Saleem-2K / Janbaz, Tatara / F.S, AUP-5008 / PS-05 and Tatara / PS-05 had highly heritable characters along with high genetic advance, which offer an opportunity for earlier selection. Hence, more emphasis should be given to these crosses in future wheat breeding programs. Moreover, the perusal of correlation analysis revealed that traits like days to maturity, flag leaf area, plant height, fertile tillers plant-1, biological yield and harvest index appeared to be most essential sources of affecting the final yield, suggesting that upsurge in wheat yield could be admissible by selecting these traits.

scholarly journals Estimation of genetic parameters of yield and yield traits in wheat genotypes under rainfed conditions

2015 ◽  
Vol 4 (2) ◽  
pp. 193-205 ◽  
Author(s):  
Imran Khan ◽  
Fida Mohammad ◽  
Fahim Ullah Khan
Keyword(s):  
Grain Yield ◽  
Leaf Area ◽  
Plant Height ◽  
Harvest Index ◽  
Flag Leaf ◽  
Grain Weight ◽  
Days To Heading ◽  
Days To Maturity ◽  
Biological Yield ◽  
1000 Grain Weight

Development of superior crop varieties is the prime objectives of all plant breeding programs. To determine genetic variability, heritability and genetic advance, 24 elite bread wheat lines were planted in randomized complete block design with three replications at the University of Agriculture, Peshawar under rainfed conditions. Data were recorded on days to heading, days to maturity, plant height (cm), flag leaf area (cm-2), spike length (cm), grain yield (kg ha-1), biological yield (kg ha-1), 1000 grain weight (g), grains spike-1, grain weight spike-1(g), and harvest index (%). Analysis of variance revealed significant differences among genotypes for all the traits studied. Broad sense heritability was high for days to heading (0.89), grain weight spike-1(0.61g), spike length (0.70 cm), 1000-grain weight (0.62g), grain yield (0.78 kg ha-1) and harvest index (0.62%); and was moderate for days to maturity (0.52), plant height (0.38 cm), and grains spike-1 (0.49), while low heritability was estimated for spike weight (0.25g), flag leaf area (0.28 cm-2) and biological yield (0.25 kg ha-1). The values of genetic advance for days to heading, days to maturity, plant height, spike length, grains spike-1, grain weight spike-1, 1000-grain weight, grain yield, biological yield, flag leaf area, and harvest index were; 5.47, 1.88, 4.01, 6.42, 0.16, 5.02, 0.71, 418.83, 379.64, 2.89 and 3.92, respectively. Genotype PR 105 surpassed all other genotypes in grain yield (3144.33 kg ha-1) and hence it can be recommended for rainfed area. DOI: http://dx.doi.org/10.3126/ije.v4i2.12637 International Journal of Environment Vol.4(2) 2015: 193-205

scholarly journals Combining ability studies for developing new rice hybrids in Bangladesh

2014 ◽  
Vol 42 (2) ◽  
pp. 215-222 ◽  
Author(s):  
MJ Hasan ◽  
UK Kulsum ◽  
LF Lipi ◽  
AKM Shamsuddin
Keyword(s):  
Grain Yield ◽  
Combining Ability ◽  
Gene Action ◽  
Flag Leaf ◽  
Female Parent ◽  
Breeding Strategy ◽  
Leaf Length ◽  
Days To Maturity ◽  
Additive Gene ◽  
Flag Leaf Length

Combining ability on grain yield and its components from line × tester analysis of 70 rice hybrids produced by crossing seven CMS lines and ten testers of local and exotic origin were studied. The analysis revealed higher sca variance than gca variance for all the traits indicating the prevalence of non-additive gene action. Testers played important role towards panicle length (48.18%), spikelet fertility (60.46%) and grain yield/plant (55.44%) indicating predominant of paternal influence for these traits. The contribution of interactions (line × tester) were found vital for plant height (58.55%), effective tillers/plant (51.69%), days to 50% flowering (48.95%), days to maturity (48.32%), flag leaf length (68.55%), panicles/m2 (48.61%) and panicle weight (50.39%). D.ShanA was the only good general combiner among the female parent for earliness and dwarfness. Male parent IR64R was best general combiner for dwarfness. The crosses BRRI9A × BR168R and D.ShanA × BR168R were identified as most promising for yield and desired traits based on sca effects, per se performance and gca effects of parents for grain yield and its components in rice which could be exploited beneficially in future rice breeding program by adopting heterosis breeding strategy. DOI: http://dx.doi.org/10.3329/bjb.v42i2.18022 Bangladesh J. Bot. 42(2): 215-222, 2013 (December

scholarly journals Study of variance, heritability and genetic advance for various yield contributing and quality traits in spring wheat (Triticum aestivum L.)

2016 ◽  
Vol 8 (4) ◽  
pp. 1811-1814
Author(s):  
Harshwardhan Harshwardhan ◽  
Anil Kumar ◽  
Amarjeet Kumar ◽  
Birendra Prasad
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Spring Wheat ◽  
Harvest Index ◽  
Grain Weight ◽  
Spike Length ◽  
Genetic Advance ◽  
Statistical Parameters ◽  
Days To Maturity ◽  
Biological Yield

An experiment was conducted to study the coefficient of variance, heritability and genetic advance for different traits in spring wheat .The investigation comprised of 7 lines of wheat and their 21 crosses in half diallel fashion was carried out in RBD with three replications. Data were recorded for days to 75% heading, days to maturity,plant height, number of productive tillers per plant, spike length, number of spikelets per spike, number of grains per spike, grain weight per spike, 1000-grain weight, biological yield per plant, harvest index, grain yield per plant, protein content and sedimentation value. The mean squares of the analysis of variance revealed significant and highly significant differences among genotypes for characters studied. Both PCV and GCV (21.8% and 21.3%) were highest for biological yield per plant followed by grain yield per plant (20.9%) and harvest index (19.7%) respectively. Whereas, ECV was maximum (15.2%) for grain yield per plant followed by harvest index (12.2%) and lowest value was recorded for days to 75% heading (0.85%). Days to 75% heading was highly heritable (90.94%) trait followed by plant height (87.23%) while least heritability (17.73%) was noticed for number of grain per spike. The highest genetic advance shown by the biological yield per plant (48.33g) followed by grain yield per plant (19.75g), however, the greatest genetic value percent mean 43.084 for the days to maturity and minimum (2.10) for spike length. Hence, these statistical parameters might be given top priority to strengthen the successful breeding program.

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.

Sign in / Sign up

Export Citation Format

Share Document