scholarly journals Genetic Variability and Characters Associations in Rapeseed (Brassica napus L.)

2016 ◽  
Vol 29 (2) ◽  
pp. 11-16 ◽  
Author(s):  
S. D. Joya ◽  
A. K. M. Shamsuddin ◽  
U. K. Nath
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Seed Weight ◽  
Harvest Index ◽  
Phenotypic Variability ◽  
Positive Association ◽  
Genetic Advance ◽  
Brassica Napus L ◽  
Significant Positive Association ◽  
Effect On Yield

Thirty eight rapeseed genotypes were evaluated to estimate the genetic variability and association among the genotypes, following 8 quantitative characters. A considerable amount of genetic variability were found ranges from 1000 seed weight (11.09g) to harvest index (44.00%) and phenotypic variability for plant height (13.36m) to harvest index (44.14%). High heritability was found for all characters except 1000 seed weight (67.04g). Minimum genetic advance was observed for 1000 seed weight (0.63g) and maximum for plant height (29.72m). The lowest genetic advance in percent of mean was found in 1000 seed weight (18.70g) and highest in harvest index (90.35%). Plant height, raceme length and 1000 seed weight have significant positive association with yield with harvest index. Plant height, raceme length, 1000 seed weight and harvest index have imposed direct positive effect on yield per plant (g). As Plant height, raceme length, 1000 seed weight and harvest index are mainly driven by the additive genes so that selection criteria based on this characters should be effective.Bangladesh J. Pl. Breed. Genet., 29(2): 11-16, 2016

scholarly journals GENETIC VARIATION AND SELECTION CRITERIA FOR SEED YIELD RELATED TRAITS IN RAPE SEED (Brassica napus L.)

2015 ◽  
Vol 26 (2) ◽  
pp. 15-22
Author(s):  
S. Parveen Parveen ◽  
M. H. Rashid Rashid ◽  
M. S. R. Bhuiyan
Keyword(s):  
Coefficient Of Variation ◽  
Seed Weight ◽  
Positive Association ◽  
Negative Association ◽  
Genetic Advance ◽  
Rape Seed ◽  
Significant Positive Association ◽  
Days To Maturity ◽  
Additive Gene ◽  
High Heritability

The field experiment was conducted to estimate the genetic variability and correlation between yield contributing traits using 15 rape seed genotypes. The results indicated that the phenotypic variance for all the characters was considerably higher than the genotypic variance denoting little influence of environmental factors on their expression. Characters like 1000-seed weight (12.39, 14.10), days to 50% flowering (18.36, 18.77) and days to maturity (4.63, 5.06) showed low genotypic and phenotypic coefficient of variation. Moderate genotypic and phenotypic coefficient of variation was observed in number of primary branches per plant (20.22, 22.16), length of siliqua (20.84, 20.97), number of seeds per siliqua (30.90, 33.06), number of siliquae per plant (49.34, 49.81) and yield per plant (34.36, 39.98) and high genotypic (67.00) and phenotypic coefficient of variation (68.57) was observed for number of secondary branches per plant. Plant height (85.98%, 30.89), 1000 seed weight (77.14%, 22.41), days to 50% flowering (95.66%, 20.35) and days to maturity (83.85%, 7.82) showed high heritability with low genetic advance which indicated the possibility of non-additive gene action. Number of primary branches per plant (83.22%, 37.99, 636.02), length of siliqua (98.83%, 42.68, 1084.42), number of seeds per siliqua (87.40%, 59.52, 424.22), number of siliqua per plant (98.15%, 100.71, 178.83) and yield per plant (73.87%, 60.84, 4539.97) showed high heritability with high genetic advance and high genetic advance in percentage of mean revealed the possibility of predominance of additive gene effects. Number of primary branches per plant had showed highly significant positive association with number of secondary branches per plant (rg=0.597, rp= 0.537) and yield per plant (rg=0.43). Days to 50% flowering showed significant positive association with seeds per siliqua (rg=0.492; rp=0.436), 1000 seed weight (rg=0.486; rp=0.472) and yield per plant (rg=0.438; rp=0.379). Length of siliqua manifested highly significant positive association with siliqua per plant (rg=0.571; rp=0.514) and significant negative association with yield per plant (-0.471) at genotypic level. Siliqua per plant had highly significant negative association at both genotypic and phenotypic level with yield per plant (-0.697; -0.525) but 1000 seed weight had highly significant positive association with yield per plant both genotypic and phenotypic level (0.893; 0.814). The results of the path analysis revealed that 1000 seed weight (0.766) had the maximum direct effect and the maximum negative direct effect was observed in seeds per siliqua (0.305). In summary, the results suggested that there were some yield related traits such as 1000 seed weight and days to 50% flowering could be selected and used in breeding program for increasing the grain yield of rapeseed.

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 Genetic Variability and Path Analysis of Groundnut (Arachis hypogaea L.)

1970 ◽  
Vol 9 (1-2) ◽  
pp. 29-36 ◽  
Author(s):  
MA Zaman ◽  
M Tuhina-Khatun ◽  
MZ Ullah ◽  
M Moniruzzamn ◽  
KH Alam
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Agricultural Research ◽  
Block Design ◽  
Positive Association ◽  
Research Station ◽  
Genetic Advance ◽  
Days To Maturity ◽  
Positive Direct

An experiment was conducted at the Research farm of Regional Agricultural Research Station, BARI, Hathazari, Chittagong during Rabi season (December to April), 2009-2010 for estimation of genetic variability, genetic parameters and correlation coefficient among different yield components in a randomized block design with three replications. Thirty four groundnut genotypes were tested in the experiment. Highly significant variations were observed among the genotypes for all the characters studied. The highest genetic coefficient of variation was observed for karnel yield per hectare, followed by karnel yield per plant, branches per plant, immature and mature nuts per plant, 100 kernal weight and plant height. The highest heritability was observed in karnel yield per pant (95.08%), followed by karnel yield per hectare (94.38%), 100 kernal weight (87.01%), immature and mature nuts per plant (82.24%, 80.32%), branches per plant (79.54%) and 100 nut weight (78.98%), while high values of genetic advance were obtained in all the characters except days to maturity and days to 50% flowering. The seed yield per plant showed the highly significant and positive association with nut size, number of nuts per plant, karnel size and days to 50% flowering. The number of mature nuts per plant had high positive direct effect on seed yield per hectare followed by nut size, shelling percentage, days to 50% flowering and days to maturity. Therefore, branches per plant, plant height, nuts per plant, nut size, karnel size, days to 50% flowering, shelling percentage and days to maturity were identified to be the important characters which could be used in selection for yield. Keywords: Genetic variability; heritability; genetic advance; groundnut DOI: http://dx.doi.org/10.3329/agric.v9i1-2.9476 The Agriculturists 2011; 9(1&2): 29-36

Study on genetic variability, heritability and genetic advance in Soybean[Glycine max (L.) Merrill]

2017 ◽  
Author(s):  
Ravindra Kumar Jain ◽  
Arunabh Joshi ◽  
Hem Raj Chaudhary ◽  
Abhay Dashora ◽  
Champa Lal Khatik
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Harvest Index ◽  
Block Design ◽  
Crop Improvement ◽  
Test Weight ◽  
Genetic Advance ◽  
High Heritability ◽  
Weight Number

Soybean, an important legume crop, serves as a good source of protein and oil with tremendous ability to fix atmospheric nitrogen for soil improvement. To study the genetic variability, genotypic, phenotypic and environmental coefficient of variation, broad sense heritability and genetic advance in soybean, a field experiment was conducted during Kharif 2013. The experiment, laid out in a randomized block design (RBD) with three replications, comprised of 24 genotypes and observations on 9 traits of soybean were recorded. In this experiment, analysis of variance indicated that significant variation were present among the different genotypes of the soybean for all the traits under study. The highest genotypic (GCV) and phonotypic coefficient of variation (PCV) were exhibited by the test weight, number of pods per plant, harvest index and plant height. The PCV was found higher than GCV which indicates the important role of environment in the expression of the characters. High heritability and high genetic advance were observed in the test weight, number of pods per plant, harvest index and plant height. The combination of the high heritability and high genetic advance provide the clear image of the trait in the selection process for crop improvement programme.

scholarly journals Genetic Variability, Heritability And Correlation Analysis In Quantitative Traits Of Irrigated Rice (Oryza Sativa L.)

2018 ◽  
Vol 15 (3) ◽  
pp. 729-735
Author(s):  
Shiva Acharya ◽  
Abhisek Shrestha ◽  
Narayan Acharya ◽  
Ankur Poudel ◽  
Suvarna Acharya
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Plant Height ◽  
Harvest Index ◽  
Oryza Sativa L ◽  
Block Design ◽  
Genetic Advance ◽  
Irrigated Rice ◽  
High Heritability ◽  
Rice Genotypes

A study was carried out to assess the genetic variability among the genotypes, correlation among traits and heritability of the traits to next generation. Eight rice genotypes were evaluated in Randomized Complete Block Design (RCBD) with three replications during Kharif (June-October) 2017 in experimental field of Lamjung Campus, Sundarbazaar, Lamjung, Western Nepal. The analysis of variance revealed statistically significant differences for all the traits under studied, which showed the presence of genetic variability among the genotypes except ineffective tiller per m2. The higher value of GCV and PCV was recorded for grain per panicle, filled grain per panicle, harvest index and grain yield. The PCV value was observed higher than the GCV value which indicated the influence of environment on the expression of the traits. High heritability along with high genetic advance as percent of mean was observed for grain per panicle, panicle length, harvest index and grain yield. However, high heritability along with moderate genetic advance as percent of mean was observed for days to 50% flowering, 1000 grain weight and plant height. The effective tiller per m2, harvest index,grain per panicle and filled grain per panicle exhibited significant and positive correlation with grain yield. Plant height and ineffective tiller perm2 exhibited negative correlation with grain yield. Grain per panicle, harvest index and grain yield could be suitable traits for selection of the rice genotypes.

scholarly journals Variability and heritability analysis in short duration and high yielding Brassica rapa L.

2014 ◽  
Vol 38 (4) ◽  
pp. 647-657 ◽  
Author(s):  
MH Khan ◽  
SR Bhuiyan ◽  
MH Rashid ◽  
S Ghosh ◽  
SK Paul
Keyword(s):  
Brassica Rapa ◽  
Seed Weight ◽  
Positive Association ◽  
Morphological Characters ◽  
Genetic Advance ◽  
Significant Positive Association ◽  
Plant Seeds ◽  
High Heritability ◽  
Heritability Analysis ◽  
Weight Number

The experiment was carried out with 32 genotypes of Brassica rapa including two commercially cultivated varieties as checks to study their inter-genotypic variability, heritability, GCV, PCV, genetic advance, and CV percent considering 10 morphological characters at the experimental farm of SAU, Dhaka during November 2009 to February 2010. Significant variation was observed among the genotypes for all the characters studied except thousand seed weight. High GCV and PCV values were observed for number of secondary branches/plant. High heritability values along with low genetic advance in percentage of mean were obtained for 1000-seed weight, number of secondary branches/plant, seeds/siliquae, and siliquae length. Highly significant positive association of seed yield per plant was observed with number of primary branches/plant, number of secondary branches/plant and number of siliquae/plant. Considering variability among the genotypes, heritability, genetic advance, percent co-efficient of variance, and field performances, the genotypes G-15, G-19, G-1, G-3, G-4, G-10, G-18, G21, and G-24 were found suitable for future breeding programme. DOI: http://dx.doi.org/10.3329/bjar.v38i4.19020 Bangladesh J. Agril. Res. 38(4): 647-657, December 2013

Assessment of Genetic Variability and Relationship between Different Quantitative Traits in Field Pea (Pisum sativum var. arvense) Germplasm

2021 ◽  
Author(s):  
Vijay Pratap ◽  
Vijay Sharma ◽  
Kamaluddin . ◽  
Gaurav Shukla
Keyword(s):  
Genetic Variability ◽  
Correlation Coefficient ◽  
Seed Yield ◽  
Harvest Index ◽  
Quantitative Traits ◽  
Field Pea ◽  
Path Coefficient ◽  
Genetic Advance ◽  
Path Coefficient Analysis ◽  
Biological Yield

Background: Assessment of genetic variability and inter-relationship between the characters can be used in the breeding programme to evolve new varieties with wide genetic diversity to maximize the yield potential in crop improvement programmes. Eighty-four field pea genotypes were evaluated in an augmented block design for thirteen quantitative traits to study variance components, heritability, genetic advance and inter-relationship between the yield and yield contributing traits. Methods: The extent of phenotypic and genotypic variation that exist in a character was calculated by the formula suggested by Burton and de Vane (1953). Heritability in broad sense and genetic advance as per cent of mean for each character was computed using the formula suggested by Hanson et al. (1956) and Johnson et al. (1955), respectively. Correlation coefficient was calculated by method suggested by Searle (1961) and path coefficient analysis done as per method of Wright (1921) and elaborated by Dewey and Lu (1959).Result: Significant differences observed among the genotypes tested for the yield characters indicated the presence of variability. High heritability coupled with high genetic advance as percent of mean was observed for the traits viz., plant height, effective pods plant-1, harvest index and seed yield plant-1 were governed by additive gene effects which will aid in effective selection. Correlation coefficient analysis revealed that seed yield plant-1 had highly significant and positive correlation with biological yield plant-1, effective pods plant-1, harvest index, seeds pods-1 and effective nodes plant-1, indicating that these traits are strongly associated with seed yield in field pea. Path coefficient analysis identified biological yield plant-1 followed by harvest index, seed pod-1, effective nodes plant-1, 100-seed weight and day to 50% flowering as highly desirable components with great direct effects on seed yield. 

scholarly journals Genetic correlation and path coefficient analysis in groundnut (Arachis hypogaea L.)

2014 ◽  
Vol 12 (1) ◽  
pp. 96-105
Author(s):  
MK Alam
Keyword(s):  
Harvest Index ◽  
Canopy Temperature ◽  
Positive Association ◽  
Kernel Weight ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Rapid Improvement ◽  
Significant Positive Association ◽  
Pod Yield ◽  
Arachis Hypogaea L

Correlation and path co-efficient analysis were carried out for pod yield and its yield components characters in 45 genotypes of groundnut. The genotypic correlation co-efficient were found to be of relatively higher magnitude than the corresponding phenotypic correlation co-efficient, indicating strong inherent association between the characters. Pod yield showed significant positive association with secondary branches/plant, harvest index, 100-pod weight, 100-kernel weight, pod size, diseases incidence and canopy temperature. Path co-efficient analysis revealed high direct effects of primary branches/plant, secondary branches/plant and harvest index. Hence, it would be rewarding to give due importance on the selection of these characters for rapid improvement in pod yield of groundnut. DOI: http://dx.doi.org/10.3329/sja.v12i1.21116 SAARC J. Agri., 12(1): 96-105 (2014)

scholarly journals Evaluation of Performances of Cowpea (Vigna ungiculata) Genotypes in Agronomy Farm of Lamjung Campus

2017 ◽  
Vol 5 (3) ◽  
pp. 382-385
Author(s):  
Chandan Bhattarai ◽  
Dinesh Marasini ◽  
Prabin Dawadi ◽  
Sadkishya Aryal
Keyword(s):  
Data Collection ◽  
Grain Yield ◽  
Plant Height ◽  
Seed Production ◽  
Seed Weight ◽  
Harvest Index ◽  
Yield Parameters ◽  
Cowpea Varieties ◽  
Pod Length ◽  
The Given

Seed to seed production experiments for cowpea (Vigna ungiculata) was conducted at Agronomy farm at IAAS Lamjung, and to compare production potentialities of given cowpea genotypes under the given sets of conditions. The treatment consists of two cowpea varieties viz. Prakash (Standard Check) and Malepatan (Local check) and four genotypes; IT 99K-573-2-1, IT 86F-2062-5, IT 93K-452-1, IT 98K-205-8. The experiment was conducted on RCBD design. .All other activities were carried out according to prepared working calendar almost from August 2016 to December 2016.  Data collection were done for pre-determined growth and other yield parameters and was analyzed using MSTAT. Major parameters were Grain yield, Seeds/plant, Pods/plant, plant height, pod length, harvest index and test weight. Result shows maximum grain yield and harvest index was found for Prakash (Standard Check).Plant height and Pods /Plant was found highest for IT 99K-573-2-1. Similarly highest seed weight was found for Prakash (Standard Check) and Seeds/Plant and Pod length was maximum for IT 86F-2062-5.Int. J. Appl. Sci. Biotechnol. Vol 5(3): 382-385

scholarly journals Estimates of genetic variability in vegetable amaranth (A. tricolor) over different cuttings

2011 ◽  
Vol 32 (No. 2) ◽  
pp. 60-67 ◽  
Author(s):  
S. Shukla ◽  
A. Bhargava ◽  
A. Chatterjee ◽  
A. Srivastava ◽  
S. P Singh
Keyword(s):  
Genetic Variability ◽  
Protein Content ◽  
Plant Height ◽  
Leaf Size ◽  
Indirect Selection ◽  
Stem Diameter ◽  
Genetic Advance ◽  
Plant Leaves ◽  
General Protein ◽  
Selection Parameters

The present investigation was carried out to study different selection parameters for foliage yield and its important yield contributing traits in 29 strains of vegetable amaranth (A. tricolor). The data were recorded for plant height (cm), stem diameter (cm), branches/plant, leaves/plant, leaf size (cm<sup>2</sup>), and protein content (mg/100 mg) in each cutting separately. Foliage yield (kg) was recorded on plot basis comprising 4 cuttings. The highest foliage yield per plot was recorded for strain AV-38, followed by AV-23 and AV-31. In general, protein content was high in the 2<sup>nd</sup> cutting in all strains. The heritability estimates were in general high for all the characters in all the cuttings and ranged from 74.87% to 93.33%. Genetic advance was maximum for foliage yield (42.50%), followed by leaf size (31.02%) and stem diameter (21.13%). It was concluded that foliage yield could be increased substantially in vegetable amaranth through indirect selection based on the characters leaf size and stem diameter. &nbsp;

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