scholarly journals Short Communication: Agro-morphological diversity among four tomato cultivars in western Burundi

2019 ◽  
Vol 20 (2) ◽  
pp. 436-441
Author(s):  
FREDERIC NGEZAHAYO ◽  
JEAN CLAUDE NGENDAKURIYO ◽  
EMMANUEL BIZINDAVYI ◽  
CYRILLE MBONIHANKUYE
Keyword(s):  
Plant Height ◽  
Morphological Traits ◽  
Short Communication ◽  
Crop Improvement ◽  
Principal Component ◽  
Morphological Diversity ◽  
Flower Number ◽  
Fruit Number ◽  
Improvement Programs ◽  
Tomato Cultivars

Ngezahayo F, Ngendakuriyo Jc, Bizindavyi E, Mbonihankuye C. 2019. Short Communication: Agro-morphological diversity among four tomato cultivars in western Burundi. Biodiversitas 20: 436-441. Since crop cultivars represent a reservoir of genetic diversity; essential are the understanding and the utilization of genetic variation in tomato accessions for improving the crop. The objective of the present study was to characterize 4 tomato cultivars from the western Burundi by means of 8 agro-morphological traits that could be exploited for tomato crop improvement. Tanya and P20 cultivars showed the lowest plant height but the highest flower number, fruit number and yield per cultivar. This was corroborated by a significant negative correlation between plant height and flower number, fruit number and yield per cultivar in overall results. On the other hand, Floradel and Tengerou97 cultivars have the highest stem circumference and leaf number. Cluster analysis also showed almost four clusters corresponding to one cluster for each cultivar, though Tengerou97 and Floradel tend to be grouped together. Finally, principal component analysis showed that all the eight agro-morphological traits participated in grouping tomato cultivars; particularly flower number, fruit number, plant height, and yield per cultivar. The first three principal component axes accounted for 92.465% of total variation observed among tomato cultivars. Thus, the four cultivars should all be exploited in tomato breeding and improvement programs.

scholarly journals Genetic divergence of Nigerian and Indian pearl millet accessions based on agronomical and morphological traits

2017 ◽  
Vol 62 (2) ◽  
pp. 115-131
Author(s):  
David Animasaun ◽  
Joseph Morakinyo ◽  
Rama Krishnamurthy ◽  
Oba Mustapha
Keyword(s):  
Plant Height ◽  
Pearl Millet ◽  
Morphological Traits ◽  
Genetic Relatedness ◽  
Agronomic Traits ◽  
Crop Improvement ◽  
Principal Component ◽  
Leaf Length ◽  
Leaf Width ◽  
Number Of Leaves

The study assessed the genetic diversity of pearl millet accessions grown in Nigeria and India based on morpho-agronomic traits in order to identify genotypes with superior characters which could be utilized in breeding programmes. Twenty-four pearl millet accessions were grown and evaluated for agronomic and morphological traits during the dry and wet seasons of 2015-2016. Data collected on the accessions using standard descriptors were analysed statistically. IP22281 had the highest mean plant height (108.90 cm) while NGB00531 recorded the lowest (61.02 cm). Significant intra-specific variation existed in number of leaves per plant, leaf length, leaf width, number of nodes and internode length, however, stem girth was similar for the accessions. Tillering was generally poor with the highest value (1.60 tillers per plant) found in NGB00531. A significant positive correlation occurred between plant height, number of leaves, leaf length and leaf width. Panicles emerged between 44 and 56 days and NGB00548 had the shortest maturity time. Also, panicle length and peduncle diameter varied significantly for the accessions. The highest grain yield and 1000-grain weight were recorded in NGB00616 and the lowest yield and weight were recorded in IP22269. The principal component analysis grouped the accessions into four clusters, comprising mixtures of Nigerian and Indian members. Similarly, the dendrogram grouped the accessions into two main groups which were sub-divided into smaller clusters with accessions from Nigeria and India in the same cluster. The study concludes that variations in morpho-agronomic and yield characters among the accessions studied could be harnessed for crop improvement. The clustering pattern of these accessions indicated their genetic relatedness, possibly from the same progenitor, but separation by geographical or ecological isolation mechanisms.

scholarly journals Analyses of variability, euclidean clustering and principal components for genetic diversity of eight Tossa Jute (Corchorus olitorius L.) genotypes

2020 ◽  
Vol 7 (4) ◽  
Author(s):  
Md. Mia Mukul ◽  
Nargis Akter ◽  
Md. Golam Mostofa ◽  
Md. Sohanur Rahman ◽  
Md. Al-Emran Hossain ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Genetic Variability ◽  
Plant Height ◽  
Principal Components ◽  
Morphological Traits ◽  
Block Design ◽  
Crop Improvement ◽  
Principal Component ◽  
Higher Plant ◽  
Fibre Yield

An investigation was done to assess the genetic variability, character associations, and genetic diversity of eight jute genotypes for seven morphological traits in a randomised complete block design at Bangladesh Jute Research Institute during 15 March, 2018 to 31 December, 2019. Analyses results revealed significant differences (P<0.01) among all genotypes for studied traits indicating the presence of variability. All the lines performed better than one control (JRO-524), and the line (O-0412-9-4) provided good results for desired traits than all controls. Jute fibre yield showed the highest broad sense heritability (98.54%). The studied jute morphological traits i.e. Plant population, the plant height, green weight, dry fibre yield and dry stick yield gave high heritability along with high genotypic and phenotypic variances, genetic advances in percent of the mean, highly significant and positive correlations. It indicates the possibility of crop improvement through phenotypic selection and maximum genetic gain, simultaneously at the genotypic-phenotypic level. Clustering analysis grouped all genotypes into three distinct clusters. The cluster II showed the highest mean values for all traits followed by cluster I and III. The first two principal components with higher Eigen values (>1.0) accounted for 90.88% of the total variation in the principal component analysis. PCA and cluster analyses indicated that the advanced breeding line O-0412-9-4 made its individual cluster II with higher inter-cluster distance and higher fibre yield (3.12 t ha-1). The investigation was done to select the genotype(s) with good fibre yield and distinct features in respect of developing high yielding Tossa jute variety for cultivation in the farmers’ field. This genotype O-0412-9-4 was selected based on higher plant height, base diameter, fibre yield content. It will be developed as a high yielding variety considering its’ higher genetic variability, heritability, genetic advance, significant associations for desirable characters.

Re-defining the yam (Dioscorea spp.) core collection using morphological traits

2017 ◽  
Vol 16 (3) ◽  
pp. 193-200 ◽  
Author(s):  
Gezahegn Girma ◽  
Ranjana Bhattacharjee ◽  
Antonio Lopez-Montes ◽  
Badara Gueye ◽  
Sam Ofodile ◽  
...  
Keyword(s):  
Core Collection ◽  
Morphological Traits ◽  
Diversity Index ◽  
Crop Improvement ◽  
Principal Component ◽  
Dioscorea Rotundata ◽  
Entire Collection ◽  
Improvement Programs ◽  
Dioscorea Cayenensis ◽  
Dioscorea Bulbifera

AbstractDevelopment of core collection representing the diversity in the entire germplasm creates a better access and enhanced utilization of the main collection thus allowing rapid evaluation in crop improvement programs. Core collections are dynamic in nature and needs revisiting when additional germplasm and information becomes available. In the current study, an attempt was made to re-define the previously developed yam (Dioscorea spp) core collection using 56 morphological traits. Information on additional acquired germplasm and presence of duplicates or mislabelled accessions in the entire collection was also used. The re-defined core collection consisted of 843 accessions and represented about 20% of the entire collection. It included six Dioscorea species, of which accessions of Dioscorea rotundata are in the majority (73.54%) followed by Dioscorea alata (21.35%), Dioscorea bulbifera (1.66%), Dioscorea cayenensis (1.42%), Dioscorea dumetorum (1.42%) and Dioscorea esculenta (0.59%). The Shannon weaver diversity index and principal component analysis revealed the maximum diversity captured in the core from the base collection. This re-defined core collection is more valuable than the original core since it represents true-to-type accessions ensuring reliability for enhanced utilization of germplasm in yam improvement programs.

Multivariate analyses of indigenous bread wheat (Triticum aestivum L.) landraces of Oman

2021 ◽  
pp. 483
Author(s):  
Ali Hussain Al Lawati ◽  
Saleem Kaseemsaheb Nadaf ◽  
Nadiya Abubakar Al Saady ◽  
Saleh Ali Al Hinai ◽  
Almandhar Almamari ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Bread Wheat ◽  
Multivariate Analyses ◽  
Crop Improvement ◽  
Winter Season ◽  
Principal Component ◽  
Triticum Aestivum L ◽  
Plant Parts ◽  
Improvement Programs ◽  
D Values

Oman is endowed with enormous diversity of important food crops that have global significance for food security and has ancient history of cultivation of bread wheat (Triticum aestivum L.) with its divergent landraces, which are useful in crop improvement. 55 indigenous Omani accessions conserved at the USDA were evaluated in the winter season (November to April) of the years 2017-2018 and 2018-2019 on loamy soil under sprinklers in augmented design with 5 check varieties in 5 replications following crop husbandry practices as per national recommendations using 9 quantitative (descriptors) and 6 qualitative traits (anthocyanin pigmentation on plant parts). The data on traits were subjected not only for PC values and D values after varimax rotation through Kaiser normalization in Principal Component Analysis (PCA) but also for Agglomerative Hierarchical Clustering (AHC). The results indicated that indigenous bread wheat accessions were significantly different (p>0.05) for all the quantitative traits except number of tillers. The multivariate analyses led to formation of four diverse clusters from PCA analyses corresponding to four quadrants of bi-plot graphs and three clusters from AHC analysis corresponding to main clades of dendrogram. The parents were selected from common accessions of distinct clusters in all the multivariate analyses for hybridization for improving characters of growth for higher yield or productivity with pigmentation on one or two plant parts useful for DUS test of varieties. The indigenous bread wheat landraces / accessions were genetically diverse and have potential for use in national crop improvement programs for earliness and higher grain productivity with distinct identification markers.

Evaluation of the morphological diversity of tea roses (Rosa x odorata) based on phenotypic traits

2020 ◽  
Vol 18 (3) ◽  
pp. 149-158
Author(s):  
Bixuan Cheng ◽  
Chao Yu ◽  
Heling Fu ◽  
Lijun Zhou ◽  
Le Luo ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Correlation Analysis ◽  
Morphological Traits ◽  
Significant Positive Correlation ◽  
Flower Colour ◽  
Principal Component ◽  
Morphological Diversity ◽  
Component Analysis ◽  
Germplasm Resources ◽  
Trait Correlation

AbstractRosa x odorata (sect. Chinenses, Rosaceae) is an important species distributed only in Yunnan Province, China. There is an abundance of wild variation within the species. Using 22 germplasm resources collected from the wild, as well as R. chinensis var. spontanea, R. chinensis ‘Old Blush’ and R. lucidissima, this study involved morphological variation analysis, inter-trait correlation analysis, principal component analysis and clustering analysis based on 16 morphological traits. This study identified a high degree of morphological diversity in R. x odorata germplasm resources and the variation coefficients had a distribution range from 18.00 to 184.04%. The flower colour had the highest degree of variation, while leaflet length/width had the lowest degree of variation. Inter-trait correlation analysis revealed that there was an extremely significant positive correlation between leaflet length and leaflet width. There was also a significant positive correlation between the number of petals and duration of blooming, and the L* and a* values of flower colour were significantly negatively correlated. Principal component analysis screened five principal components with the highest cumulative contribution rate (81.679%) to population variance. Among the 16 morphological traits, style length, sepal width, flower diameter, flower colour, leaflet length and leaflet width were important indices that influenced the morphology of R. x odorata. This study offers guidance for the further development and utilization of R. x odorata germplasm resources.

scholarly journals Diversity of Pepper (Capsicum spp.) Genotypes from Eritrea Assessed by Morphological Traits

2016 ◽  
Vol 8 (4) ◽  
pp. 156 ◽  
Author(s):  
Brhan Khiar Saleh ◽  
Remmy W. Kasili ◽  
Edward G. Mamati ◽  
Woldeamlak Araia ◽  
Aggrey B. Nyende
Keyword(s):  
Block Design ◽  
Plant Genetic Resources ◽  
Crop Improvement ◽  
Principal Component ◽  
Fruit Characteristics ◽  
Climatic Regions ◽  
Capsicum Spp ◽  
Improvement Programs ◽  
Combined Data ◽  
Three Components

<p>Diversity in plant genetic resources provides an opportunity for plant breeders to develop new and improved cultivars with desirable characteristics. The purpose of this study was to assess the diversity of Eritrean pepper germplasm in order to obtain information for improving it. A total of 60 pepper (<em>Capsicum</em> spp.) seed sample collections were obtained from farmers and institutions in Eritrea. The collections were evaluated at two sites located in two different agro-climatic regions of the country. The collections were assessed using 16 quantitative and 23 qualitative descriptors. A Randomized Complete Block Design was used for the evaluation. Quantitative and qualitative data of the two sites were subjected to Principal Component Analysis, Principal Coordinate Analysis, Hierarchal clustering, Analysis of variance and Correlation. The distribution of characters of the different quantitative and qualitative traits and the performance of the collections showed the existece of variable characters distributed among the collections indicating considerable diversity. For quantitative variables, the first three components were able to explain 61%, 58% and 67% of the total variation in Hamelmalo, Asmara and combined data of the two sites respectively. While for the qualitative variables the first three components were able to explain a variation of 58% in Hamelmalo, 49%, in Asmara and 55% combined data of the two sites. Phenological attributes and fruit characteristics were found to contribute more to the variation. The majority of the traits evaluated were significant and the highest Coefficient of Variation was related to fruit characteristics. The results of this study showed that there is sufficient variability within the Eritrean pepper genotypes that could be used in future breeding and crop improvement programs.</p>

scholarly journals Agro-Morphological and Molecular Variability among Algerian Faba Bean (Vicia faba L.) Accessions

Agronomy ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1456
Author(s):  
Nawel Malek ◽  
Meriem Miyassa Aci ◽  
Khalil Khamassi ◽  
Antonio Lupini ◽  
Mustapha Rouaissi ◽  
...  
Keyword(s):  
Vicia Faba ◽  
Faba Bean ◽  
Morphological Traits ◽  
Crop Improvement ◽  
Principal Component ◽  
Molecular Data ◽  
Mantel Test ◽  
Ssr Analysis ◽  
Fruit Setting ◽  
Vicia Faba L

Faba bean (Vicia faba L.) Algerian accessions represent an essential source of traits of interest for crop improvement, especially for tackling climate change, because their genetic background and potential have not been well studied. The purpose of this research was to assess the genetic variability of 14 Algerian faba bean accessions by means of 10 agro-morphological traits and 7 simple sequence repeat markers (SSRs). ANOVA analysis showed a large significant phenotypic variation in fruit setting (FS), seed length (SL), seed width (SW), and 100-seeds weight (HSW), which arose as the main discriminant characters as revealed by principal component analysis (PCA). In addition, SSR analysis identified a total of twenty different alleles within our collection with a mean of 2.85 alleles per locus. The polymorphism information content (PIC) ranged from 0.32 to 0.58, with a mean of 0.44. Observed heterozygosity (Ho) ranged from 0.57 to 1.00 with a mean of 0.72, while the expected one (He) varied from 0.42 to 0.67, reaching a mean of 0.57. Based on agro-morphological as well as molecular data, the 14 accessions were not clustered according to the geographical pattern, as also confirmed by principal coordinate analysis (PCoA). Moreover, AMOVA highlighted that most of the overall genetic variation within our collection was the result of strong differentiation among accessions (84%). Finally, the Mantel test revealed that there was no substantial correlation between the molecular and agro-morphological traits (r = −0.025, p > 0.05). These findings represent a first step toward faba been breeding programs establishment in Algeria, indicating that our collection exhibited optimal agro- and molecular diversity to identify specific traits useful in Mediterranean environment.

scholarly journals Diversity of Leaf Stomatal Traits among Coffea canephora Pierre ex A. Froehner Genotypes

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1126
Author(s):  
Danielly Dubberstein ◽  
Marcos Góes Oliveira ◽  
Elisa Mitsuko Aoyama ◽  
José Henrique Guilhen ◽  
Adésio Ferreira ◽  
...  
Keyword(s):  
Leaf Area ◽  
Plant Height ◽  
Stomatal Density ◽  
Morphological Variability ◽  
Principal Component ◽  
Coffea Canephora ◽  
Plant Materials ◽  
Improvement Programs ◽  
Coffee Plants ◽  
Stomatal Length

Leaf morpho-anatomical characteristics directly reflect photosynthetic performance and the ability to adapt to different environmental conditions. The study of biometric traits is essential for the selection of promising plant materials for breeding purposes. To identify new varieties of coffee plants with desirable traits for genetic improvement programs, this study investigated the variability of leaf morpho-anatomical traits in 43 genotypes of Coffea canephora (as the species under study is hypostomatous). Seven leaf characteristics were used: epidermal cell density (ECD), stomatal length (SL), stomatal width (SW), stomatal density (SD), stomatal size (SS), stomatal index (SI), and stomatal length/width. Morphological traits (plant height, internodal distance, and leaf area) and grain production were also assessed. The data analyzed multivariate analysis of variance grouped by the unweighted pair group the arithmetic mean hierarchical method, and data were also subjected to a Pearson linear correlation and principal component analyses (PCAs). The results showed wide morphological variability reflecting six morphological groups, which is relevant for the genetic divergence analysis and for breeding purposes, as the results have the potential to identify superior genotypes. Within the groups, genotypes were mainly separated by the number of epidermal cells and the number and size of the stomata, reflecting a high genetic heterogeneity within genotypes. Positive and negative correlations were found, with levels of significance ranging from weak to strong among the analyzed traits. The highest correlation levels were found for SL × SS, SW × SS, and SI × SD. In addition, the PCA indicated that plant height, distance between nodes, and leaf area were positively correlated and associated. The greater the number and width of stomata, the higher the rate of gas exchange. Both characteristics are favorable for the development and production of coffee plants, explaining the positive correlation observed in this study. These results emphasize the usefulness of trait evaluations for the identification and breeding of genotypes to compose new C. canephora cultivars suitable for changing environments.

scholarly journals Agro-Morphological Diversity (Qualitative Traits) of Oryza sativa L. Cultivated in Paiyunpata Village, Baglung, Nepal

2020 ◽  
Vol 19 (1) ◽  
pp. 9-15
Author(s):  
Hom Nath Pathak
Keyword(s):  
Morphological Traits ◽  
Oryza Sativa L ◽  
Crop Improvement ◽  
Germplasm Conservation ◽  
Morphological Diversity ◽  
Morphological Characters ◽  
Rice Varieties ◽  
Central Nepal ◽  
Qualitative Characters ◽  
Study Sites

 The study was carried out in Paiyunpata, Baglung-13, which lies in the southern part of Baglung Bazaar, Central Nepal. The main objective of the present study was to study the agro-morphological traits of rice varieties cultivated in the study area and make easy ways for germplasm conservation. Direct observation and measurements were carried out to collect primary data.Agro-morphological characters of 19 landraces of rice in the study sites were measured in terms of qualitative characters and made ways easy for germplasm conservation. Besides, the varied landraces may besuggested to breeding for crop improvement, but patents should be that of the community.

scholarly journals Principal Component Analysis with Quantitative Traits in Extant Cotton Varieties (Gossypium Hirsutum L.) and Parental Lines for Diversity

2018 ◽  
Vol 6 (1) ◽  
pp. 54-64
Author(s):  
K. Rathinavel
Keyword(s):  
Principal Component Analysis ◽  
Plant Height ◽  
Morphological Traits ◽  
Quantitative Traits ◽  
Fibre Length ◽  
Principal Component ◽  
Component Analysis ◽  
Plant Growth Habit ◽  
Vigour Index ◽  
Parental Lines

The experimental material consisted of 101 extant varieties and parental lines characterized for morphological traits under Distinctiveness Uniformity and Stability (DUS) testing at CICR, Regional Station, Coimbatore, India. Twenty one quantitative traits were taken for observation. The data were utilised to estimate substantial variation and relationship within the extant varieties and to identify the best performing genotypes. Analysis of variance for quantitative traits, in diverse line, showed sizable amount of variability. The highest variation was found for vigour index, plant height, germination per cent, fibre maturity, yield per plant, plant stand, fibre uniformity and ginning per cent when mean performance genotypes were considered. Seed cotton yield showed significantly positive correlation with boll number plant-1 (0.95), boll weight-1 (0.53), lint weight (0.50), fibre length (0.27), plant growth habit (0.26), plant height (0.23) and seed index (0.21). Principal component analysis showed the extend of variation by components 1 to 8 that exhibited Eigen value >1. Cluster analysis based on various morphological traits assorted 101 extant varieties of cotton into three main clusters. Dendrogram arrived based on hierarchal clustering, grouped genotypes based on their morphological traits rather than the geography of origin.

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