scholarly journals GENETIC DIVERGENCE AND MORPHO-AGRONOMIC PERFORMANCE OF JATROPHA CURCAS L. CLONES FOR SELECTION OF CLONAL VARIETIES

2016 ◽  
Vol 29 (4) ◽  
pp. 841-849
Author(s):  
ADRIANA QUEIROZ DE ALMEIDA ◽  
SIMONE ALVES SILVA ◽  
VANESSA DE OLIVEIRA ALMEIDA ◽  
DEOCLIDES RICARDO DE SOUZA ◽  
GILMARA DE MELO ARAÚJO
Keyword(s):  
Genetic Diversity ◽  
Multivariate Analysis ◽  
Plant Height ◽  
Genetic Divergence ◽  
Morphological Characterization ◽  
Stem Diameter ◽  
Agronomic Performance ◽  
And Performance ◽  
Lower Contribution ◽  
Selection Of

ABSTRACT The knowledge about genetic diversity of jatropha crop is important for genetic conservation resources and breeding of this species. The aim of this study was to evaluate the genetic diversity and performance of jatropha clones through morphological characterization to selection of clonal varieties for biofuels production. The clones were obtained through shoot cuttings from previous selection in a population of half-sibs progenies. The morphoagronomic analyses of clones was carried out at 180 days after transplantation and were evaluated plant height, stem diameter, number of primary branches and number of secondary branches, number of bunches and number of fruits per plant. Evaluating clones performance, significant results were found for the number of secondary branches. About analysis of genetic diversity, the measures of dissimilarity genetic varied from 0.62 to 13.11, this way, the UFRBPR14 and UFRBPR15 clones were more divergent. The Tocher method was efficient to verify formation of four groups. The characteristics that most contributed to the divergence among clones were branches number, height and number of bunches, and, stem diameter had lower contribution. The jatropha clones differed only in the secondary branches number and multivariate analysis showed divergence among the jatropha clones with formation of four groups. Also, branches number, plant height and number of bunches were characteristic that contributed to genetic divergence.

scholarly journals Genetic divergence in eggplant (Solanum melongena L.) genotypes

2016 ◽  
Vol 41 (3) ◽  
pp. 433-439
Author(s):  
MR Karim ◽  
MM Rahman ◽  
AKM Quamruzzaman
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Multivariate Analysis ◽  
Genetic Distance ◽  
Genetic Divergence ◽  
Solanum Melongena ◽  
The Other ◽  
Agronomic Performance ◽  
Cluster Distance ◽  
And Cluster Analysis

Multivariate analysis of twenty six genotypes of eggplant were done to estimate the genetic diversity and to select the potential parents for a successful hybridization program. As per PCA, D2 and cluster analysis, the genotypes were grouped into five clusters. The highest inter-cluster distance was between Cluster II and Cluster III (37.82) and the lowest between Cluster I and Cluster III (4.39). Cluster III showed the maximum intra-cluster distance (1.58), whereas Cluster II showed the lowest intra-cluster distance (0.48). Considering the magnitude of genetic distance and agronomic performance, the genotypes SM 208 and SM 209 from Cluster II and SM 201, SM 218 and SM 227 from Cluster III might be suitable for efficient hybridization program. On the other hand the genotypes of Cluster I (SM 206, SM 210, SM 211, SM 212, SM 213, SM 215, SM 216, SM 217, SM 221, SM 224, SM 225 and SM 226) possess all the superior characters in respect of yield and yield related component. Thus the genotypes SM 206, SM 216, SM 217, SM 224 and SM 225 from this Cluster could be selected to develop high yielding eggplant varieties.Bangladesh J. Agril. Res. 41(3): 433-439, September 2016

scholarly journals GENETIC DIVERSITY IN NON-OILSEED SUNFLOWER (Helianthus annuus L.) GENOTYPES / DIVERSIDAD GENETICA DE GENOTIPOS NO OLEAGINOSOS DEL GIRASOL (Helianthus annuus L.) / DIVERSITÉ GÉNÉTIQUE DANS LES GÉNOTYPES DE TOURNESOL NON-OLÉAGINEUX (Helianthus annuus L.)

Helia ◽  
2001 ◽  
Vol 24 (34) ◽  
pp. 17-24
Author(s):  
K. Manjula ◽  
H.L. Nadaf ◽  
K. Giriraj
Keyword(s):  
Genetic Diversity ◽  
Protein Content ◽  
Helianthus Annuus ◽  
Plant Height ◽  
Genetic Divergence ◽  
Oil Content ◽  
Diversité Génétique ◽  
Helianthus Annuus L ◽  
Volume Weight ◽  
Seed Characteristics

SUMMARYGenetic diversity was assessed in 46 non-oilseed sunflower genotypes for 14 characters by adopting D2 analysis. Oil content and plant height exhibited maximum contributions towards genetic divergence. The genotypes were grouped into 11 clusters. The inter-cluster D2 values ranged from 288.17 to 3972.34. The contribution of oil content towards genetic divergence in the 46 genotypes was confirmed when D2 analysis was performed for seed characteristics such as test weight, volume weight, hull content, kernel recovery, oil and protein content.

scholarly journals Agronomic Performance and Genetic Divergence in Corn (Zea mays) in the Cerrado-Amazon Ecotone

2019 ◽  
pp. 1-7
Author(s):  
Rafael Marcelino Da Silva ◽  
Weder Ferreira dos Santos ◽  
Matheus Rodrigues de Andrade ◽  
Zildiney Dantas Da Silva ◽  
Layanni Ferreira Sodré Santos ◽  
...  
Keyword(s):  
Zea Mays ◽  
Experimental Design ◽  
Grain Yield ◽  
Plant Height ◽  
Genetic Divergence ◽  
Optimization Method ◽  
Multivariate Model ◽  
Agronomic Performance ◽  
Ear Height ◽  
Generalized Distance

The objective of this work is to study the agronomic performance and genetic divergence in corn in the Cerrado-Amazon ecotone. The trials were conducted in the 2017/18 harvest at a property in the state of Pará. The experimental design was a randomized block with nine treatments and three replications, where the treatments are represented by nine cultivars of corn. The characteristics to evaluate agronomic performance and genetic divergence were: ear height (cm), plant height (cm), ear length (cm), ear diameter (mm), number of rows, number of grains per row and grain yield (kg ha−1). The cultivars were separated into a multivariate model in five groups using the Tocher optimization method. The cultivar AG 1051 showed the best agronomic performance. The results of genetic divergence were according to the generalized distance of Mahalanobis (D2), with the commences AG 8088 x CATIVERDE and AG 1051 x AL BANDEIRANTE, the most promising for future crosses.

scholarly journals Repeatability estimates and minimum number of evaluations for selection of elephant-grass genotypes for herbage production

2020 ◽  
Vol 36 (1) ◽  
Author(s):  
Erina Vitório Rodrigues ◽  
Rogério Figueiredo Daher ◽  
Geraldo de Amaral Gravina ◽  
Alexandre Pio Viana ◽  
Maria do Socorro Bezerra de Araújo ◽  
...  
Keyword(s):  
Plant Height ◽  
Principal Components ◽  
Dry Matter ◽  
Block Design ◽  
Phenotypic Selection ◽  
Stem Diameter ◽  
Dry Matter Yield ◽  
Elephant Grass ◽  
Minimum Number ◽  
Selection Of

In forage-plants breeding, the selection of superior genotypes has been undertaken through successive harvests in previously established intervals. However, this process involves many steps, the evaluation of many traits, and a great spending with costs and labor. Thus the estimate of the repeatability is essential in improvement of perennials, it allows predicting genotypic value of the individual, the minimum number of evaluations in the selection of genotypes and minimizes resources and time in the selection of promising individuals. The objective of this study was to estimate the repeatability coefficient for morphological traits in elephant grass and determine the number of evaluations needed for phenotypic selection more efficient. The experimental randomized block design with 53 genotypes and two replications. The repeatability coefficients were estimated for variables plant height, number of tillers, stem diameter and dry matter yield, using the methods of Anova, Principal Components and Structural Analysis. We observed significant differences between genotypes (P <0.01) for all variables. The main components provide larger estimates of repeatability when compared to other methods. Estimates of the repeatability coefficients are of high magnitude average for the variables plant height (0.44) number of tillers (0.44) and stem diameter (0.63) and low magnitude for dry matter production (0.27). The Principal Components method requires five, five, two and eleven measurements for plant height, number of tillers, stem diameter and dry matter yield, respectively, with 80% reliability.  

scholarly journals Genetic divergence analysis in papaya (Carica papaya L.) Genotypes

2016 ◽  
Vol 41 (4) ◽  
pp. 647-656
Author(s):  
N Ara ◽  
M Moniruzzaman ◽  
Ferdousi Begum ◽  
M Moniruzzaman ◽  
R Khatoon
Keyword(s):  
Genetic Diversity ◽  
Plant Height ◽  
Genetic Divergence ◽  
Carica Papaya ◽  
Agricultural Research ◽  
Research Station ◽  
Plant Weight ◽  
Mean Values ◽  
Fruit Length ◽  
Cluster Distance

The experiment on papaya (Carica papaya L.) consisting of fourteen genotypes from diversd gene pool was conducted at the Regional Agricultural Research Station, Ishurdi, Pabna during April 2013 to May 2014 to study the nature and magnitude of genetic divergence and eventually identification of suitable genotypes for use in breeding program. Multivariate analysis was subjected to assess the genetic diversity and Mahalanobis’ generalized distance (D2) was used to assess the divergence present among the genotypes. The fourteen genotypes were grouped into four clusters. The cluster IV had the maximum genotypes (5) followed by cluster I having 4 genotypes and cluster II having 3 genotypes. Cluster III had the minimum genotypes (2). The inter-cluster distances were greater than intra-cluster distances in all cases, suggesting wider genetic diversity among the genotypes of different groups. The highest intracluster distance was observed in cluster III and the lowest in cluster II. The maximum inter-cluster distance was estimated between clusters I and IV (11.3212), moderate distance between clusters II and IV (9.961) and clusters III and IV (7.568), and that of the lowest between clusters I and III. Cluster III recorded the highest mean values for fruit length, plant height at last harvest, number of fruits/plant, weight of fruits/plant and fruit yield, while cluster IV exhibited the maximum mean values for pulp thickness, plant height at 1st harvest and the second highest mean values for fruit length, fruit breadth and TSS. Therefore, more emphasis should be given on cluster III for selecting genotypes as parents for crossing with the genotypes of cluster IV which may produce new recombinants with desired traits.Bangladesh J. Agril. Res. 41(4): 647-656, December 2016

scholarly journals Assessment of Genetic Diversity using D2 Statistics in Chickpea (Cicer arietinum L.) under Late Sown Conditions

2021 ◽  
pp. 48-53
Author(s):  
Velugoti Priyanka Reddy ◽  
Gaibriyal. M. Lal ◽  
Subhadra Pattanayak ◽  
Jakkam Mahipal Reddy
Keyword(s):  
Genetic Diversity ◽  
Genetic Variability ◽  
Plant Breeding ◽  
Cicer Arietinum ◽  
Analysis Of Variance ◽  
Genetic Divergence ◽  
Indian Institute ◽  
Cicer Arietinum L ◽  
Cluster Distance ◽  
Selection Of

An experiment was conducted during Rabi, 2019-20 at Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj (Allahabad) consisting of 36 chickpea genotypes obtained from ICAR-Indian Institute of Pulses Research, Kanpur, U.P in RBD with three replications. The data was recorded on 13 traits to study the genetic divergence. Analysis of variance revealed that there was considerable genetic variability in the available germplasm for all the characters studied. Divergence analysis revealed that highest inter cluster distance (1505.25) was found between clusters I and V indicates that there is ample scope for selection of better parents.

scholarly journals MORPHOLOGICAL CHARACTERIZATION AND GENETIC DIVERSITY IN ORNAMENTAL SPECIMENS OF THE GENUS SANSEVIERIA

2020 ◽  
Vol 33 (4) ◽  
pp. 985-992
Author(s):  
MÉRCIA DE CARVALHO ALMEIDA RÊGO ◽  
ANGELA CELIS DE ALMEIDA LOPES ◽  
ROSELI FARIAS MELO DE BARROS ◽  
ALONSO MOTA LAMAS ◽  
MARCONES FERREIRA COSTA ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Genetic Variation ◽  
Experimental Design ◽  
Genetic Divergence ◽  
Leaf Growth ◽  
Morphological Characterization ◽  
Clustering Method ◽  
Mean Values ◽  
Qualitative And Quantitative ◽  
Randomized Experimental Design

ABSTRACT The aim of this study was to characterize and estimate genetic divergence among twelve specimens of the Sansevieria genus from the collection of the Universidade Federal do Piauí (UFPI). A completely randomized experimental design was used with three replicates, and the plot consisted of four plants. In morphological characterization, qualitative and quantitative descriptors of leaves were evaluated. Genetic divergence among the specimens was determined by the Tocher clustering method and the hierarchical UPGMA. There is genetic variation among specimens evaluated, which was also expressed by the variability of colors, shapes, and sizes of the leaves. The Tocher clustering method and the hierarchical UPGMA were effective in differentiation of the specimens from multi-categorical qualitative descriptors, as the Tocher method grouped the accessions in two groups and the UPGMA in seven different groups. We highlight the accessions SSV 09 and SSV 10 as exhibiting the highest mean values in weekly leaf growth and in leaf height, important characteristics for local sale and for export.

scholarly journals Morphoagronomic characterization of Sorghum cultivar ‘CIAP 132R-05’ obtained by somatic embryogenesis in the conversion phase using different substrates

2019 ◽  
pp. 248
Author(s):  
Silvio de J. Martínez Medina ◽  
Raúl Barbón Rodríguez, Rafael Gómez-Kosky, Novisel Veitía Rodríguez ◽  
María Esther González Vega ◽  
Orlando Saucedo Castillo ◽  
Eduardo Fidel Héctor Ardisana ◽  
...  
Keyword(s):  
Somatic Embryogenesis ◽  
Plant Height ◽  
Somatic Embryos ◽  
Morphological Characters ◽  
Morphological Characterization ◽  
Stem Diameter ◽  
Limb Length ◽  
Regenerated Plants

Sorghum [Sorghum bicolor (L.) Moench] is an important crop after wheat, corn, rice and barley. The aim of this research was to study morphological characterization of the plant population of grain sorghum cultivar CIAP 132R-05 regenerated via somatic embryogenesis under semi controlled conditions in green house.  Plants regenerated from somatic embryos were compared to plants grown from botanical seeds. Both populations of plants were characterized morphologically, taking in account quantitative traits (plant height (cm), stem diameter, number of active leaves per plant, limb length and width, number of active roots per plant, length of the roots (cm), fresh weight (gMF), foliar area (dm2), number of shoots per plant) and qualitative traits (albino or variegated plants, color of the leaves). Quantitative characteristics of both populations corresponded with those listed in the National Register of Commercial Varieties of Cuba. However; the population of plants derived from somatic embryos showed significantly higher values ​​for plant height, stem diameter, limb length and width, which may be associated with the physiological rejuvenation produced by the effect of in vitro culture. This allowed to determine the phenotypic stability of the regenerated plants via somatic embryogenesis, by assessing morphological characters in field conditions. The results can be applied to the in vitro propagation of elite plants selected as a product of conventional breeding programs and obtained through the use of different biotechnological methods.

Principal Component and Genetic Diversity Analysis for Seed Yield and Its Related Components in the Genotypes of Chickpea (Cicer arietinum L.)

2021 ◽  
Author(s):  
S.K. Jain ◽  
L.D. Sharma ◽  
K.C. Gupta ◽  
Vipin Kumar ◽  
R.S. Sharma
Keyword(s):  
Genetic Diversity ◽  
Plant Height ◽  
Total Variation ◽  
Hierarchical Clustering ◽  
Seed Yield ◽  
Block Design ◽  
Principal Component ◽  
Experimental Unit ◽  
Component Traits ◽  
Selection Of

Background: The seed yield of chickpea can be improved by selection of superior genotypes on the basis of different yield and yield component traits. These genotypes exclusively utilize in breeding programs. Yield is a complex trait which is affected by several factors, hence, a well-known technique known as principal component analysis was used to identify and minimize the number of traits for effective selection. To obtain efficient recombinants, the identified component traits need to be combined from diverse parents through recombination breeding followed by selection of transgressive segregants. Hence, the present study is envisaged to measure the genetic diversity among genotypes of chickpea.Methods: The experimental material comprised of 40 chickpea genotypes evaluated in randomized block design with three replications. The experimental unit was four rows per plot with 4 m length and spacing between row to row and plant to plant maintained as 30 x 10 cm. NPK (20:40:00) fertilizers was applied as basal doses. The data were recorded for each genotype on nine quantitative traits as per standard methods. Descriptive statistics and PCA analysis was performed by using the statistical package SPSS 16.0 version and cluster analysis was done using the Wards method of hierarchical clustering technique.Result: Out of nine PCs only three PCs exhibited more than 1.0 Eigen value and showed about 73.4% variability. PC1 contributed 28.6% of the total variation and correlated with days to flowering, days to maturity, plant height, first pod height, seeds per pod and number of pods per plant while PC2 explained 21.00% of the total variation and dominated by plant height, first pod height and seed yield. PC3 explained an additional 13.00% of the total variation and dominated by primary branches per plant. Genotype commonly found in more PC, were BG 4016, IPCB 2015-165, IPC 2011-247, GNG2459 and RKG 19-4. Hierarchical clustering technique grouped 40 genotypes into two main clusters (A and B) and nine sub clusters. The present investigation depicted that the chickpea germplasm displayed considerable genetic diversity for most of the traits under consideration. 

scholarly journals Genetic diversity analysis for various morphological and quality traits in bread wheat (Triticum aestivum L.)

2018 ◽  
Vol 10 (1) ◽  
pp. 24-29
Author(s):  
Girnam Singh ◽  
Pradeep Kumar ◽  
Ravi Kumar ◽  
L. K. Gangwar
Keyword(s):  
Genetic Diversity ◽  
Grain Yield ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Genetic Divergence ◽  
Harvest Index ◽  
Grain Weight ◽  
Quality Traits ◽  
Biological Yield ◽  
1000 Grain Weight

The present investigation was carried out during 2011-12 in a randomized block design (RBD) with 35 diverse wheat genotypes to assess the genetic diversity for various morphological and quality traits. The analysis of variance for grain yield and its contributing components namely days to 50% flowering, days to maturity, productive tillers, plant height, spike length, spikelets pet spike, grains per spikelet, biological yield, harvest index, 1000 grain weight, grain yield and gluten content showed highly significant differences (at <1% level of significance) among the genotypes under present study. High heritability along with high genetic advance and high phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) for grain yield (g), biological yield (g), harvest index (%), spike length (cm) and 1000 grain weight (g) indicated substantial contribution of additive gene action in the expression and thus selection would be effective for genetic improvement of these traits for improving grain yield in wheat. On the basis of multivariate analysis, 35 genotypes were grouped into ‘6’ clusters based on genetic divergence (D2 ) value. The compositions of clusters revealed that the Cluster IV contained the highest number of genotypes (9) followed by Cluster II (8), Cluster VI (8) and Cluster III (7). The highest inter cluster values were recorded between cluster III and V (8357.19) followed by cluster IV and V (7513.88), cluster IV and VI (6009.44) and cluster III and VI (5530.40) exhibiting wide genetic diversity. Among different traits, biological yield (32.12%), productive tillers (28.74%), harvest index (26.71%), plant height (24.20%), grain yield (19.23%) and grains per spikelets (14.89%) had maximum contribution to total genetic divergence, therefore may be used as selection parameters in transgressive segregants. Selection of genotypes from the clusters may be used as potential donors for further hybridization programme to develop genotypes with high yield potential in wheat crop.

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