scholarly journals Genetic Diversity for Yield and Its Component Traits in Chickpea (Cicer arietinum L.)

Author(s):  
Sanganamoni Srinivas ◽  
Lakmalla Vinay ◽  
Gaibriyal M. Lal

The present experiment was carried out to study the 40 chickpea genotypes to evaluate the Genetic diversity among the chickpea genotypes for yield and yield contributing traits and to identify genetically divergent parents for future hybridization. The present experiment was carried out during rabi 2019-2020 in Randomized complete block design with three replications at Sam Higginbottom university of agriculture technology and sciences, Prayagraj, Allahabad, U.P. The data was analyzed for 13 quantitative traits to study genetic variability, heritability, genetic advance, genetic advance as percent of the mean. The magnitude of genotypic coefficient of variation and phenotypic co-efficient recorded highest for a number of seeds for plant (33.31 and 34.24), high heritability associated with high genetic advance was recorded for a number of secondary branches for plant (97.11 and 59.98) suggesting that there was greater role of additive gene action in inheritance. The distribution of 40 genotypes into six clusters was by Tocher’s method at a random with the Maximum number of genotypes were grouped into cluster I which includes 29 genotypes. The highest intra-cluster distance was observed for cluster I (59.53) which comprised of 29 genotypes. The highest inter-cluster distance (407.97) was found between clusters II and VI. Genotypes (IPC-71, IPC 04-52, JG-31416, L-550, IPCK 09-165, ICC-244263, IPC 94-94 and IPC 06-11 to these clusters may be used as parents to create transgressive segregants. Cluster VI recorded maximum mean values for the number of primary branches per plant (3.67), number of secondary branches per plant (6.47), number of pods per plant (117.13), number of seeds per plant (155.53), and seed yield per plant (g) (25.94).

Author(s):  
Ajay Chauhan ◽  
Akhilesh Sharma ◽  
Parveen Sharma ◽  
Viveka Katoch ◽  
Sanjay Chadha ◽  
...  

Background: Edible podded pea is an oriental vegetable crop which shares the cultivation pattern with the garden pea. Fresh tender pods lacking parchment layer are consumed whole like beans. It is a newly introduced crop in India and therefore, it would be imperative to identify the most promising genotypes vis-à-vis traits of interest, those contributing towards maximization of yield. The present investigation was, therefore, planned to assess the genetic parameters of variability for pod yield and related horticultural traits in order to identify the most promising edible pod pea genotypesMethods: Thirty six genotypes comprising of 29 F7 advanced breeding lines and nine lines from different institutes including three checks namely, ‘Arka Apoorva’, ‘Arka Sampoorna’ and ‘Mithi Phali’ were evaluated in randomized complete block design over three replications during winters 2016-2017 at C.S.K. Himachal Pradesh Krishi Vishvavidyalaya, Palampur for pod yield and related horticultural traits.Result: Sufficient genetic variability was observed for all morphological and yield contributing attributes. The magnitude of phenotypic (PCV) and genotypic (GCV) coefficients of variation were high for pod yield while branches per plant, internodal length, harvest duration and pods per plant showed high PCV and moderate GCV. High heritability along with high genetic advance was observed for internodal length, plant height, average pod weight and pod yield per plant indicating the importance of additive gene action. Pod yield per plant revealed positive correlation at both phenotypic and genotypic levels with pods per plant, average pod weight, pod length and pod breadth. Pods per plant and average pod weight at both phenotypic and genotypic levels had maximum positive direct and indirect effects to the total association of component traits suggesting the importance of these traits towards pod yield. 


2017 ◽  
Vol 15 (1) ◽  
pp. 15-19
Author(s):  
MM Rashid ◽  
M Nuruzzaman ◽  
L Hassan ◽  
SN Begum

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


2019 ◽  
Vol 17 (3) ◽  
pp. 295-300
Author(s):  
Taslima Aktar ◽  
Md Nuruzzaman ◽  
Md Shoheh Rana ◽  
Md Monjurul Huda ◽  
Md Amir Hossain ◽  
...  

The potential of a crop to favorably respond to breeding programs depends on its existing nature and magnitude of genetic variability, heritability and genetic advance. An experiment was conducted with eighteen Brassica genotypes following Randomized complete block design (RCBD) with three replications at the field of the department of Genetics and Plant Breeding, Bangladesh Agricultural University, Mymensingh, Bangladesh to estimate genetic divergence, variability ranges and contribution of each trait towards genetic diversity. Analysis of variance showed significant variation among the genotypes for all the studied yield and yield contributing characters. The phenotypic co-efficient of variation (PCV) was higher than the genotypic co-efficient of variation (GCV) for all the characters measured, indicated that the traits were influenced by environment. All traits showed high heritability (61.54% to 98.64%) which indicated possible improvement through selection. High heritability values (>60%) along with high genetic advance and genetic advance in percentage of mean indicated prevalence of additive gene action, which provides good scope for further improvement by selection. The genotypes were grouped into four clusters, most of the genotypes were grouped into Custer I (8 genotypes), while cluster IV contained only one genotype. Considering the mean value, the cluster IV and Cluster II were ranked as the top groups in terms of yield and early maturity. High Heritability with high genetic advance in percentage of mean was observed for number of branches/plant, number of pod/plant, number of seeds/pod and yield/plant and selection focused   on these traits could be useful for future breeding program of Brassica. The genotype BD-7114 was the best performer considering all the studied traits especially yield and days to maturity which could be used as an important breeding material for the improvement of Brassica. J Bangladesh Agril Univ 17(3): 295–300, 2019


Author(s):  
Dinesh Awasthi ◽  
Vimlesh Kumar Tiwari ◽  
V. S. Kandalkar

Genotypic source of variations were significant for all characters in 168 genotypes including 7 checks of Indian mustard at 5% level of significance. Maximum seed yield per plant (g) and harvest index was recorded in MRNJ-82; whereas, the minimum days to 50% flowering and maturity were recorded in RVM-1 and MRNJ-5 respectively. In genotypes viz; MRNJ-36, RVM-2, MRNJ-59, JM-1, MRNJ-53 and MRNJ-35 had maximum plant height (cm), number of primary branches per plant, number of secondary branches per plant, number of siliqua per plant, number of seeds per siliqua and 1000 seed weight (g). Highest GCV and PCV were recorded for seed yield per plant which indicates for improvement through selection among these genotypes. High heritability along with high genetic advance as percentage of mean has been noticed for seed yield per plant and harvest index indicating less influence of environment and also the presence of additive, dominance and interaction among genes in the expressions of these characters. Low genetic advance along with low heritability estimate were observed for number of primary branches per plant and number of seeds per siliqua. This indicates the involvement of additive and non-additive gene actions in their inheritance.


2015 ◽  
Vol 26 (1) ◽  
pp. 26-31 ◽  
Author(s):  
MA Islam ◽  
SA Raffi ◽  
MA Hossain ◽  
AK Hasan

A field experiment was conducted using twenty three rice genotypes including three check varieties during the period from June to December, 2013, at the Agronomy Field Laboratory, Department of Agronomy, Bangladesh Agricultural University, Mymensingh to study genetic variability, heritability and genetic advance (GA) for yield and yield associated traits in rice. The experiment was laid down in a randomized complete block design with three replications. Plant height, number of filled grains per panicle, days to 50% flowering, thousand grain weight, grain width and grain yield showed relatively high genotypic co-efficient of variation (GCV) and phenotypic co-efficient of variation (PCV) estimates. The PCV were higher than GCV for all eight traits indicating that they all interacted with the environment to some extent. High heritability was obtained for grain width (88.54%), followed by days to 50% flowering (87.61%), thousand grain weight (81.96%), grain length (81.94%), days to maturity (81.81%) and number of filled grains per panicle (78.19%) which indicates high heritable portion of variation. High to medium estimates of heritability and genetic advance were obtained for number of filled grains per panicle (18.97), days to 50% flowering (11.89), days to maturity (12.16) indicating the roles of additive gene action and a good scope of selection using their phenotypic performance. Considering, all of these characters, filled gains per panicle and days to 50% flowering and maturity were important yield related traits and could be used for selection in rice breeding programs.Progressive Agriculture 26:26-31, 2015


2017 ◽  
Vol 9 (3) ◽  
pp. 1592-1597
Author(s):  
N. Jyothi Lakshmi ◽  
M. Vanaja ◽  
S. K. Yadav ◽  
Ch. Ram Prasad ◽  
P. Sathish ◽  
...  

Transpiration efficiency (TE, g biomass kg-1 water transpired) is the preferred measure for examining po- tential genetic variation in crop water use efficiency (WUE). TE was assessed gravimetrically from sowing to grain harvest in fifteen blackgram accessions, two checks and two local varieties under well-watered conditions during kharif season. TEbiomass varied from 2.87 - 5.27 g kg-1 and TEseed varied from 1.10 - 2.03 g kg-1 among genotypes. High coefficient of variability was observed for seed yield and TEseed.Total biomass, TEbiomass, HI and water transpired recorded medium coefficient of variability. High heritability in broad sense was observed for seed yield, TEseed and total biomass. High genetic advance as percent of mean was observed for seed yield, TEseed, total biomass and TEbiomass. High heritability coupled with high genetic advance as per cent of mean was observed for seed yield, total biomass and TEseed.TEseed is significantly positively correlated with TEbiomass (0.883**), seed yield/ plant (0.805**), HI (0.757**) and biomass (0.572*). TEbiomass, seed yield per plant, total biomass and HI were the important components of TEseed as revealed by correlation studies.D2 analysis partitioned the nineteen genotypes in to five clusters. The maximum inter cluster distance was observed between cluster II and V (24.94) and III and IV (22.6). Genotypes IC436665, IC343952 and Local II (Cluster III) had high mean values for TEbiomass and TEseed along with total biomass and seed yield. These genotypes should be useful in future breeding programs for higher water use efficiency.


Author(s):  
Vikas Khandelwal ◽  
A. Keerthika ◽  
Meenakshi Dhoot

Genetic diversity is an essential prerequisite for improving the genetic makeup of any crop. Inclusion of genetically diverse parents in hybridization programme helps in isolation of superior recombinants. So, an experiment was conducted to investigate the genetic diversity among 150 genotypes of sorghum [Sorghum bicolor (L.) Moench] Rajasthan during Kharif - 2013, 2014 and 2015 in a Randomized Block Design (RBD) with three replications. Present study reveals that the clustering pattern based on D2 statistics grouped 150 genotypes into 6 clusters, out of which cluster 1 shows the highest intra cluster value (142.62) followed by cluster 2 (119.47). While maximum inter cluster distance (i.e.652.68) was observed between cluster 5 and cluster 6, indicating there is presence of wide range of genetic diversity among the sorghum genotypes. Such genotypes with wide genetic diversity based on their mean values can either be utilized for breeding programmes for genetic improvement in sorghum or directly adopted as a variety.


2015 ◽  
Vol 7 (1) ◽  
pp. 149-154 ◽  
Author(s):  
R. T. Maruthi ◽  
K. Jhansi Rani

Forty three genotypes of maize were evaluated for eleven traits at the College Farm, College of Agriculture, Rajendranagar, Hyderabad to study the genetic divergence and various genetic parameters. There was a significant (P<0.01) difference between genotypes for all the characters, which revealed wide range of variability and high heritability for all the characters. The genetic advance as percent of mean was high for grain yield per plant (73.19%), ear height (51.05%), number of kernels per row (44.40%), plant height (43.46%), 100 grain weight (42.88%), ear length (30.79%), number of kernel rows per ear (25.23%), and ear girth (22.37%) indicating additive gene action for these traits. D2 analysis partitioned the forty three genotypes in to six clusters. The maximum inter cluster distance (39.38) was observed between cluster I and cluster V. Grain yield per plant (38.43%), plant height (14.29%), 100 grain weight (12.85%) and number of kernels per row (12.07%) contributed greatly towards diversity.


2021 ◽  
Vol 16 (2) ◽  
pp. 109-117
Author(s):  
Kadiyala Naga Suresh ◽  
Gabriyal M. Lal

The experiment was conducted at Field Experimentation Centre, Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj during Rabi 2019-2020 in Randomized Block Design with three replications. The investigation was prevailed to examine the 40 genotypes along with one check (PUSA 362) to study the genetic variability, genetic advance, heritability and Genetic diversity. Analysis of variance exhibited significant differences among the genotypes for all the characters indicating presence of good amount of variability among the genotypes for all the characters used in study. high GCV and PCV were observed for biological yield (31.5 and 39.47). High heritability (>80%) was recorded for character Days to 50% flowering (89%) followed by days to maturity (87%), days to 50% flowering (86%), seed weight (82%). Higher genetic advance was observed for no. of seeds per plant (39.64) followed by no. of pods per plant (31.77), biological yield (21.07), days to 50% maturity (11.41) and plant height (11.03). D2 values showed adequate genetic diversity among the genotypes studied. On the basis of D2 values all the genotypes were grouped into five clusters with varying number of genotypes in the clusters. The maximum genetic distance (D) of 54.46 was found between the clusters IV and II. Greater the divergence between the 2 clusters, wider is that the genetic diversity within the genotypes. The cluster mean for days to 50 per cent flowering varied from 84.00(V) to 108 (III). The cluster mean for days to 50 per cent pod setting varied from 86.67 (IV) to 120.67 (II). The cluster mean for 100 seed weight was maximum in (cluster II) 24.33 and minimum in (cluster IV) 20. The cluster mean for harvest index was maximum in (cluster II) 56.71 and minimum in (cluster V) 38.56. The cluster mean for biological yield was maximum in (cluster III) 53.13 and minimum in (cluster II) 36.2. The cluster mean for seed yield was maximum in (cluster III) 20.93 and minimum in (cluster V) 13.2. Therefore, the genotypes present in these clusters can be used for future hybridization.


2015 ◽  
Vol 28 (2) ◽  
pp. 25-38
Author(s):  
O. B. Bello ◽  
D. Aminu ◽  
A. Gambo ◽  
A. H. Azeez ◽  
M. Lawal ◽  
...  

Ten okra genotypes were evaluated at the Teaching and Research Farm, University of Maiduguri, Nigeria, during 2015 and 2016 dry seasons. The objective was to assess the degree of genetic diversity and heritability of different traits of okra. The combined analysis of variance revealed highly significant (p<0.01) differences among okra genotypes for plant height, days to 50% flowering, fresh pod length, fresh pod diameter and fresh weight per pod in both years. High heritability, genetic advance as percent of the mean and genotypic coefficient of variation were observed for all the studied characters except fresh pod diameter and days to 50% flowering. This indicated diverse genetic background and predominance of additive gene control for these characters, thereby providing a great scope for selection. Mahanalobis D2 analysis allocated the 10 genotypes into four clusters. Cluster I was the highest cluster consisting four genotypes, followed by cluster II with three genotypes and cluster III two genotypes, while cluster IV was monogenotypic. Involvement of the highest yielding genotypes (Salkade, Y’ar gagure and Kwadag) in hybridization could increase novel recombinants to exploit transgressive segregates with high genetic yield potentials. 


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