scholarly journals Performance and character contributions to variability in okra (Abelmoschus esculentus L. Moench) genotypes

2021 ◽  
Vol 24 (2) ◽  
pp. 127-133
Author(s):  
Emmanuel Ohiosinmuan Idehen ◽  
Oluwafunmibi Eunice Ola
Keyword(s):  
Plant Height ◽  
Block Design ◽  
Field Performance ◽  
Principal Component ◽  
Single Linkage ◽  
Single Linkage Cluster ◽  
High Heritability ◽  
Linkage Cluster ◽  
Number Of Branches ◽  
Plant Plant

Abstract Okra is an important vegetable crop, but its optimal production is constrained by a myriad of problems including pests, poor agronomic practices, and improper varietal identification among others. A study was carried out to determine the field performance and contribution of agronomic characters to overall variation in eighteen okra genotypes over two locations, Teaching and Research Farms of the Federal University of Agriculture, Abeokuta, Nigeria and Rehoboth Farms Limited, Moniya, Ibadan, Nigeria. The experiments were laid down in a randomized complete block design with three replicates and data were collected on number of days to emergence, number of days to 50% flowering, number of branches per plant, pod length, pod width, number of pods per plant, plant height, pod weight, number of seeds per pod, number of ridges per pod, 100 seed weight, seed, and pod yield. The data were subjected to analysis of variance, heritability in the broad sense, principal component analysis as well as the single linkage cluster analysis. Results revealed significant (p <0.05) variation in the genotypes and high heritability estimates for most of the characters. Number of branches per plant, plant height, number of pods per plant accounted for the highest contributor to variations in the accessions while clustering analysis revealed genotypes; NGB00303, NGB00342 and NGB00346 were distant from all genotypes making them useful materials for hybridization studies.

scholarly journals Variability analysis of some genotypes in Nigeria tea (Camellia sinensis) germplasm

2021 ◽  
Vol 9 (1) ◽  
pp. 050-061
Author(s):  
Olayinka Olufemi Olaniyi ◽  
Olusola Babatunde Kehinde ◽  
Amos Adegbola Oloyede ◽  
Omotayo Olalekan Adenuga ◽  
Kayode Olufemi Ayegboyin ◽  
...  
Keyword(s):  
Block Design ◽  
Principal Component ◽  
Stem Cuttings ◽  
Yield Data ◽  
Single Linkage ◽  
Randomized Complete Block Design ◽  
Single Linkage Cluster ◽  
Number Of Leaves ◽  
Linkage Cluster ◽  
Number Of Branches

Thirty four tea clones were sourced from Cocoa Research Institute of Nigeria tea germplasm and raised through stem cuttings for 10 months in the nursery. The experiment was laid out in a randomized complete block design (RCBD) with 3 replications in 2016. Agronomic and yield data were collected and subjected to analysis of variance. Single linkage cluster analysis (SLCA), principal component analysis (PCA) and FATCLUS analysis were employed to analyse the data. ANOVA showed considerable significant variation p<0.05 among the 34 tea genotypes. The PCA showed that Plant Height (PH) 0.39, Number of Leaves (NL) 0.38, Number of Branches (NB) 0.37, Harvestable Points (HP) 0.31, Stem Diameter 0.39 and Leaf Breadth 0.30 accounted for most of the variations observed. Axes 1, 2 and 3 of the PCA accounted for 37.23%, 15.48% and 10.75% variability respectively with cumulative value of 63.47%. The genotypes were clustered into 7 groups by FASTCLUS Analysis. The dendrogram showed that the first cluster was observed between NGC29 and NGC 47 at 0.08 level of similarity. At 0.50 level of similarity the dendrogram revealed 5 distinct groups. Therefore, variation exists among the tea germplasm in Nigeria thereby suggests further presenting opportunities for further varietal development.

Genetic variability determination in garden pea (Pisum sativum L sub sp. hortense Asch. and Graebn.) by using the multivariate analysis

2017 ◽  
Author(s):  
S.R. Singh ◽  
N. Ahmed ◽  
D. B. Singh ◽  
K. K. Srivastva ◽  
R. K. Singhand Abid Mir
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Principal Component ◽  
Single Linkage ◽  
Pod Yield ◽  
Yield And Quality ◽  
Single Linkage Cluster ◽  
Positive Traits ◽  
Linkage Cluster ◽  
Pod Length

A total of 32 genotypes collected from different geographical areas evaluated at one site to determine the genetic variability. Considerable diversity was found in different traits of horticultural importance. Principal component analysis showed more than 84 % of total multivariate variation for important traits in different genotypes. Pod yield, pod length,10 pods weight and pods per plant were found to be major traits contributing towards principal component-I. Similarly, seeds per pod, secondary branches/plant, pod length were main positive contributing traits towards second component. Ten pod weight, pod width were positively contributing component towards principal component third. Pods per plant and shelling percentage were main traits contributing to principal component-IV, where as plant height, pod length and pod width were major positively contributing traits towards principal component -V. PS-1100, Meethi Phali, PB-87 and FC-1 were most divergent genotypes. On the basis of cluster mean of single linkage cluster analysis, Custer-I was best for number of primary branches and shelling percentage, Cluster -II for plant height,10 pods weight and pod yield per plant, cluster-III for number of pods /plants and cluster IV for pod length. Selection of genotypes from divergent clusters and components having more than one positive traits for hybridization programme may lead to improvement in yield and quality of pea.

Genetic Diversity Assessment in Dolichos Bean (Lablab purpureus L.) Based on Principal Component Analysis and Single Linkage Cluster Analysis

2021 ◽  
Author(s):  
S.R. Singh ◽  
S. Rajan ◽  
Dinesh Kumar ◽  
V.K. Soni
Keyword(s):  
Genetic Diversity ◽  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Single Linkage ◽  
Pod Yield ◽  
Diversity Assessment ◽  
Single Linkage Cluster ◽  
Linkage Cluster

Background: Dolichos bean occupies a unique position among the legume vegetables of Indian origin for its high nutritive value and wider climatic adaptability. Despite its wide genetic diversity, no much effort has been undertaken towards genetic improvement of this vegetable crop. Knowledge on genetic variability is an essential pre-requisite as hybrid between two diverse parental lines generates broad spectrum of variability in segregating population. The current study aims to assess the genetic diversity in dolichos genotypes to make an effective selection for yield improvement.Methods: Twenty genotypes collected from different regions were evaluated during year 2016-17 and 2017-18. Data on twelve quantitative traits was analysed using principal component analysis and single linkage cluster analysis for estimation of genetic diversity.Result: Principal component analysis revealed that first five principal components possessed Eigen value greater than 1, cumulatively contributed greater than 82.53% of total variability. The characters positively contributing towards PC-I to PC-V may be considered for dolichos improvement programme as they are major traits involved in genetic variation of pod yield. All genotypes were grouped into three clusters showing non parallelism between geographic and genetic diversity. Cluster-I was best for earliness and number of cluster/plant. Cluster-II for vine length, per cent fruit set, pod length, pod width, pod weight and number of seed /pod, cluster III for number of pods/cluster and pod yield /plant. Selection of parent genotypes from divergent cluster and component having more than one positive trait of interest for hybridization is likely to give better progenies for development of high yielding varieties in Dolichos bean.

Genetic variability studies for yield, yield contributing and quality traitsin okra [Abelmoschus esculentus (L.) Moench.]

2016 ◽  
Vol 50 (6) ◽  
Author(s):  
R. A. Jadhav ◽  
S. B. Bagwale ◽  
L. N. Jawale ◽  
D. B. Deosarkar
Keyword(s):  
Vitamin C ◽  
Plant Height ◽  
Iron Content ◽  
Block Design ◽  
Calcium Content ◽  
Phenotypic Selection ◽  
Randomized Block Design ◽  
Additive Gene ◽  
High Heritability ◽  
Number Of Branches

The present investigation was carried out during Kharif 2014. The experimental material consists of 40 different genotypes of okra with three checks Arka Anamika, Parbhani Kranti and Pusa Sawani. The materials were grown in randomized block design with three replications during Kharif 2014 on the field of Department of Agricultural Botany, College of Agriculture, VNMKV, Parbhani. The investigation carried out in the present study revealed that the genotypes 136 Thin, 003163, Kashi Pragati, Kashi Vibhuti and BO 13 showed better performance for traits namely plant height, length of fruit, calcium content, iron content, vitamin C content and fruit yield per hectare. Among the genotypes 136 Thin and 003163 had given highest yield. The high genotypic and phenotypic coefficient of variation was observed for characters namely number of branches, yield per hectare, yield per plot and yield per plant. All these traits indicate additive effect showed response for selection. High heritability estimates were found for characters like number of branches, yield per plot, iron content, yield per plant, plant height, vitamin C content, number of seeds per fruit (dry fruit), fruit bearing node and calcium content indicated good inheritance of these characters. High heritability coupled with high expected genetic advance was observed for characters like plant height, calcium content, yield per plant and yield per hectare, indicated presence of additive gene action and phenotypic selection may become more effective for desired genetic improvement.

scholarly journals Assessment of Genetic Divergence in Long Day Onion (Allium cepa L.) through Principal Component and Single Linkage Cluster Analysis

2020 ◽  
Vol 15 (1) ◽  
pp. 17-26
Author(s):  
Singh S R ◽  
Ahamed N ◽  
Srivastava K K ◽  
Kumar D ◽  
Yousuf S
Keyword(s):  
Cluster Analysis ◽  
Principal Component ◽  
Single Linkage ◽  
Long Day ◽  
Wide Range ◽  
Positive Loading ◽  
High Positive Loading ◽  
Single Linkage Cluster ◽  
Linkage Cluster ◽  
Bulb Yield

To assess the nature and magnitude of genetic diversity in long day onion germplasm by using the principal component analysis and single linkage cluster analysis an experiment was carried out with 34 onion genotypes. High coefficient of variation with wide range in traits indicated an appreciable variability in germplasm. Genotypes were classified into seven principal components having Eigen value > 1, cumulatively accounted for 83.87% of total variability. Principal Component - I contributed for 24.73% of total variation for followed by principal component-II (15.27%). PC-I had high positive loading for bulb weight (0.401), marketable yield (0.338), total bulb yield (0.401) and PC-II had high positive loading for plant height (0.412), PC-III for high T.S.S. (0.276) PC -IV for A grade bulbs (0.436), PC-V for polar diameter of bulbs (0.514), PC-IV negatively loaded with purple blotch (-0.461) and PC-VII for narrow neck thickness (-0 .515). Plotting PC-I aganist PC-II differenciated CITH-O-13, CITH-O-4, CITH-O-22, CITH-O-19, CITH-O-9, CITH-O-6 and CITH-O2 as most divergent genotype.On the basis of single linkage cluster means cluster-I was most importent for average bulb weight, minimum bolters, high marketble bulb percentage high marketable and total bulb yield whereas cluster -II was important for maximum nuber of leaves/plant and minimum neck thicknes. Highest inter-cluster distance was observed between cluter II and Cluster-I(873.5% ).Most divergent genotypes with high inter cluter distance could be the most appropriate parents for crop impovement in onion.

scholarly journals Genetic Assessment of 23 Cassava, Manihot Esculenta Crantz, Genotypes at Two Agro-Climatic Zones in Nigeria

2014 ◽  
Vol 67 (1) ◽  
pp. 103-114 ◽  
Author(s):  
O.A. Oduwaye ◽  
D.K. Ojo ◽  
J. Mkumbira ◽  
C.O. Alake ◽  
O. Adenuga ◽  
...  
Keyword(s):  
Tuber Yield ◽  
Block Design ◽  
Chlorophyll Concentration ◽  
Environment Interaction ◽  
Manihot Esculenta Crantz ◽  
Single Linkage ◽  
Ecological Zones ◽  
Single Linkage Cluster ◽  
Genetic Assessment ◽  
Linkage Cluster

Abstract This study investigated genetic diversity among 23 cassava genotypes in two-agro-ecological zones (Ibadan and Mokwa), Nigeria. The experiment was conducted using a randomized complete block design with three replicates. The cassava genotypes were evaluated for tuber yield, fresh weight of tuber, number of tubers, tuber girth and length, dry matter and chlorophyll concentration. The data collected were subjected to analysis of variance and differences among the genotypes were computed using Duncan’s multiple range test. Single linkage cluster and FASTCLUS analysis were used to group the cassava genotypes. Genotypic and phenotypic coefficient of variability, heritability and genetic advance were also evaluated. Genotype, environment and genotype × environment interaction (GEI) were significant (P < 0.01) for most of the traits evaluated. The magnitude of the environment was higher compared to genotype and GEI. Comparative mean performance varied from location to location. Tuber yield ranged from 0.32 for 92/0325 to 0.90 kg for 99/3073 with mean of 0.58 kg, and 0.16 kg for 82/00058 to 0.67 kg for 98/0581 with mean of 0.35 kg in Mokwa. Higher genotypic and phenotypic coefficients of variability were observed in Ibadan than Mokwa, for most of the characters. The interrelationships among the characters revealed the superiority of some cassava genotypes for a character in one location and not in the other location. However, breeding potentials exists among the cassava genotypes across the two environments.

scholarly journals COMBINING ABILITY STUDIES FOR GROWTH AND YIELD CHARACTERS OF BHENDI ABELMOSCHUS ESCULENTUS (L.) MOENCH)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
S. Kalaiselvan ◽  
S. Anuja
Keyword(s):  
Plant Height ◽  
Combining Ability ◽  
Block Design ◽  
Fruit Weight ◽  
Growth And Yield ◽  
F1 Hybrids ◽  
Randomized Block Design ◽  
Final Harvest ◽  
Weight Number ◽  
Number Of Branches

The present investigation consisted of 9 lines, 3 testers with their 27 F1 hybrids developed through line x tester mating fashion in randomized block design with three replications. Parents and hybrids differed significantly for gca and sca effects, respectively. Among the parents, maximum gca effect was found in EC 112241 and Aruna for inter node distance, EC 112241 and Arka Anamika for single fruit weight, EC 109454, EC 169344 and Arka Anamika for number of branches per plant, EC 169331 and Arka Anamika for number of fruits per plant, EC 109454 and Aruna for plant height at final harvest. The crosses exhibited maximum positive significant sca effect was observed in EC 112241 x Aruna, EC 109454 x Kashi Kranti and EC 112264 x Aruna were found as good specific combiners for single fruit weight, number of branches per plant and number of fruits per plant respectively. The hybrid EC 112264 x Aruna exhibited maximum significant negative sca effects for inter node distance and plant height at final harvest.

Variability, character association and path coefficient analysis of green pod yield and its related traits in pea (Pisum sativum L.)

2017 ◽  
Author(s):  
Keshav K. Gautam ◽  
M. M. Syamal ◽  
A. K. Singh ◽  
Nakul Gupta
Keyword(s):  
Plant Height ◽  
Association Studies ◽  
Path Coefficient ◽  
Pod Yield ◽  
Wide Range ◽  
Character Association ◽  
Additive Gene ◽  
High Heritability ◽  
Positive Direct ◽  
Number Of Branches

Genetic variability, character association and path coefficient studies were carried out for yield and yield contributing characters for twenty-four diverse genotype of pea. The results revealed a wide range of phenotypic variation, along with high heritability in pea. Highest pod yield per plant was recorded in VRP-229 followed by VRP-372 and VRP-305. The characters namely, plant height and weight of seeds per pod showed high magnitude, while number of pods per plant, number of branches per plant and pod yield per plant showed moderate magnitude for phenotypic and genotypic coefficient of variation. The heritability and genetic advance were high for days to first pod initiation, plant height and pod yield per plant indicating its additive gene action for their expression. Character association studies revealed that pod yield per plant exhibit positive and highly significant correlation with number of pods per plant, number of branches per plant and days to fifty percent flowering. The path coefficient studies also revealed that maximum positive direct effect was observed through number of pods per plant followed by days to first flowering, single pod weight and pod length towards yield indicated that these characters may be considered as the most reliable selection indices while making selection for high yielding genotypes.

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