Phenotypic Diversity of Ethiopian Coffee (&lt;i&gt;Coffea arabica &lt;/i&gt;L.) Accessions Collected from Limmu Coffee Growing Areas Using Multivariate Analysis

Aim of study: Sports involving horses have notable financial importance. Breeds are evaluated to find the best-suited ones for a specific sport category. Phenotypic diversity using biometric markers was evaluated for Quarter Horse (QH), Arabic (AR), English Thoroughbred (ET), and Brazilian Equestrian (BE) horse breeds.Area of study: Mato Grosso do Sul-Brazil.Material and methods: Lengths, widths, and circumference measures of 268 horses were collected. These measures were used to estimate conformation indexes. The size-free canonical discriminant analysis was used to remove the size effect on the animal's shape. The similarity among breeds (by sex) was evaluated employing multivariate analysis (canonical analysis, MANOVA, principal components, Euclidean distances, and grouping through complete linkage), considering all linear measures and conformation indexes (included in the analysis of principal components).Main results: Four canonical variables (CANs), each one representing an equation to interpret the morpho-functionality of breeds “sustentation”, “structure”, “frame”, and “equilibrium”, were retained. The breeds presented differences when the CANs were simultaneously considered. Differences mainly were the size and the thickness of the body as well as the ability of the animal to move. ET, QH, and BE demonstrate a well-defined biometric profile. These three breeds clustered separately from AR breed.Research highlights: Canonical variables allow to verify the functional aptitudes since the responses were close to conformation indices commonly used as horse skill estimators. The implementation of these variables as selection criteria in horse breeding programs require further studies in larger populations of horses for a confirmation of the present results.

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Phenotypic Divergence In Tomato Germplasm

SAARC Journal of Agriculture ◽

10.3329/sja.v17i2.45305 ◽

2020 ◽

Vol 17 (2) ◽

pp. 185-195

Author(s):

MZ Ullah ◽

L Hassan ◽

M Samsuzzaman ◽

MA Main

Keyword(s):

Multivariate Analysis ◽

Phenotypic Diversity ◽

Gene Bank ◽

Climatic Regions ◽

Phenotypic Divergence ◽

Locule Number ◽

Fruit Pericarp ◽

Pericarp Thickness ◽

Clustering Pattern ◽

Range Test

Phenotypic divergence was quantified by multivariate analysis among the 70 genotypes collected from different agro-climatic regions and was available in the gene bank of Energypac Agro Ltd., Gazipur, Bangladesh. Based on the phenotypic value of 11 characters, 70 genotypes were grouped into five clusters. The genotypes of tomato were distributed in different clusters suggesting that no association was found between geographical and phenotypic diversity. Cluster II consisted of maximum twenty three genotypes (32.86%) followed by cluster III of sixteen genotypes (22.85%). Cluster IV and Cluster V comprised of thirteen (18.57%) and ten genotypes (14.29%), respectively. Cluster I consisted of eight genotypes (11.43%). The highest intra-cluster divergence (0.061) for cluster I was invariably smaller than the lowest inter-cluster divergence between cluster IV and cluster V (2.83), thus authenticating the clustering pattern formed in this study. The intra-cluster divergence ranged from 0.007 to 0.061, whereas the inter-cluster divergence ranged from 2.83 to 8.34 between clusters IV and V and clusters III and V, respectively. The four characters that played the greatest role in differentiation were locule number per fruit, pericarp thickness, fruits per plant and days to 50% flowering. Twenty homozygous parents (15 female and five male) were selected from five clusters using range test among genotypes within cluster. From cluster I parents TM409, TM386 and TM528 and from cluster III parents TM403 and TM349 were selected as male. Parents TM356, TM361, TM368, TM371, TM377, TM384, TM422 and TM423 from cluster II; parents TM388, TM390, TM392 and TM410 from cluster IV and parents TM382, TM419 and TM360 from cluster V were selected as female. SAARC J. Agri., 17(2): 185-195 (2019)

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Phenotypic diversity of autochthonous European (Prunus domestica L.) and Damson (Prunus insititia L.) plum accessions based on multivariate analysis

Horticultural Science ◽

10.17221/99/2011-hortsci ◽

2012 ◽

Vol 39 (No. 1) ◽

pp. 8-20 ◽

Cited By ~ 4

Author(s):

T. Milošević ◽

N. Milošević

Keyword(s):

Multivariate Analysis ◽

Phenotypic Diversity ◽

Principal Component ◽

Fruit Weight ◽

Soluble Solids ◽

Soluble Solids Content ◽

Prunus Domestica ◽

Weight Yield ◽

Solids Content ◽

Plum Brandy

Forty-three European (Prunus domestica L.) and twelve Damson (P. insititia L.) plum accessions originating from different and important growing regions in former Yugoslavia were studied to assess the overall degree of polymorphism, detect similarities among accessions and assess important agronomic, fruit quality and sensorial traits. Twenty variables were scored and subjected to multivariate analysis. Results showed a considerable phenotypic diversity among plum germplasm. A high correlation was found among some evaluated variables. Principal component analysis (PCA) revealed that traits related to fruit weight, yield and soluble solids content accounted for a large proportion of the observed variability. Accessions Bela Požegača, Crvena Ranka Bardaklija, Mudara, Požegača, Car Du&scaron;an, Julka, Turgonja and Crna Petrovka cvs are recommended for fresh consumption, while Požegača, Korajka, Bosanka and Bilska Rana cvs are recommended for drying. Most of accessions can be used for processing, particularly into plum brandy, whereas some can be used as rootstocks.

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Phenotypic Diversity of Pea Genotypes (Pisum sativum L.) Based on Multivariate Analysis

Legume Research - An International Journal ◽

10.18805/lr-4165 ◽

2019 ◽

Author(s):

Shalini Singh ◽

V Rakesh Sharma ◽

Vinay Kumar Reddy Nannuru ◽

B Singh ◽

Mukesh Kumar

Keyword(s):

Multivariate Analysis ◽

Phenotypic Diversity ◽

Uttar Pradesh ◽

Optimum Number ◽

Pisum Sativum L ◽

Maximum Value ◽

Cluster Distance ◽

Total Variability ◽

Improvement Programme ◽

Transgressive Segregants

The present study was conducted to identify the nature and magnitude of genetic divergence among fifty five genotypes based on phenotypical traits using the multivariate analysis. Based on cluster analysis, the genotypes were best fitted into six clusters. The maximum and minimum genotypes grouped in cluster III (14) and minimum were in Cluster IV (4) respectively. The maximum intra-cluster distance was shown by cluster I (D2 2.543) indicating maximum difference among the genotypes within and the minimum value was shown by cluster II (D2 =1.827). Maximum value of inter-cluster distance (D2=6.471) was recorded between cluster I and cluster IV revealing that the genotypes of these clusters were highly diverse from others and can be used as divergent parents for hybridization and selection. Thus, for getting high heterosis for recovering transgressive segregants, genotypes from cluster I and IV can be used as distant parents in any breeding programme for successful pea improvement. The Optimum number of K-means clusters formed were four. The result of PCA revealed that all the four principal components (PC-I, PC-II, PC-III and PC-IV) contributed 86.7% of the total variability. The results of present study could be exploited in the future genetic improvement programme of pea genotypes in Uttar Pradesh region.

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Use of multivariate analysis to assess phenotypic diversity of date palm (Phoenix dactylifera L.) cultivars

Scientia Horticulturae ◽

10.1016/j.scienta.2010.11.011 ◽

2011 ◽

Vol 127 (3) ◽

pp. 367-371 ◽

Cited By ~ 19

Author(s):

Mohamed Vall O. Mohamed Ahmed ◽

Zein Elabidine O. Bouna ◽

Fouteye M. Mohamed Lemine ◽

Taleb Khyar O. Djeh ◽

Trifi Mokhtar ◽

...

Keyword(s):

Multivariate Analysis ◽

Date Palm ◽

Phenotypic Diversity ◽

Phoenix Dactylifera ◽

Phoenix Dactylifera L

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Caracterización agronómica de 95 accesiones en el banco de germoplasma de café en Chanchamayo (Perú), año 2016

Revista ECIPeru ◽

10.33017/reveciperu2017.0004/ ◽

2018 ◽

pp. 41-48 ◽

Cited By ~ 1

Keyword(s):

Multivariate Analysis ◽

Coffea Arabica ◽

Productive Capacity ◽

Hypothenemus Hampei ◽

Rust Disease ◽

Hemileia Vastatrix ◽

Main Components ◽

Weight Number ◽

Coffea Arabica L

Caracterización agronómica de 95 accesiones en el banco de germoplasma de café en Chanchamayo (Perú), año 2016 Agronomic characterization of 95 accessions in the bank of germplasm of coffe plant in Chanchamayo (Peru) year 2016 L. Alvarado, R. Vértiz, J. Jiménez, R. Borjas, V. Castro y A. Julca Universidad Nacional Agraria La Molina, Lima, Perú Recibido el 14 de junio del 2017. Aceptado el 19 de julio del 2017 DOI: https://doi.org/10.33017/RevECIPeru2017.0004/ Resumen El presente estudio tuvo como objetivo evaluar las características agronómicas de 95 accesiones en el banco de germoplasma de café (Coffea arabica L.) en Chanchamayo, año 2016. Este trabajo se llevó a cabo en el fundo “La Génova” de la Universidad Nacional Agraria La Molina en San Ramón-Chanchamayo. La caracterización se basó en caracteres que describan la capacidad productiva de la planta y su comportamiento frente a la “broca” (Hypothenemus hampei) y “roya” (Hemileia vastatrix). Luego se realizó un análisis de varianza y una Prueba de Duncan para cada variable estudiada mediante el programa Statgraphic. Se realizó un análisis multivariado (componentes principales y agrupamientos) con el programa NTSYS que permitió conocer los caracteres que han expresado un mayor grado de variabilidad, así como la relación entre accesiones. Las accesiones con más altos rendimientos en promedio de café cerezo/planta fueron UNACAF-70 con 5.42 kg/planta y UNACAF-149 con 4.16 kg/planta; mientras que las accesiones menos sobresalientes fueron UNACAF-151 con 0.22 kg/planta y UNACAF-223 con 0.15 kg/planta. Con respecto al peso de café pergamino seco por planta, la accesión más sobresaliente siguió siendo UNACAF-70 con 1.1 kg/planta. Finalmente, los caracteres más discriminantes fueron peso de café cerezo, peso de café pergamino seco, número de frutos por planta, peso de pulpa de 100 frutos maduros y peso de 100 frutos maduros. Descriptores: café, broca del café, roya del café, análisis multivariado. Abstract The present study aimed to evaluate the agronomic characteristics of 95 accessions in the coffee germplasm bank (Coffea arabica L.) in Chanchamayo, in 2016. This work was carried out in "La Genova" fund of the National Agrarian University La Molina in San Ramón-Chanchamayo. The characterization was carried out on the basis of characters that describe the productive capacity of the plant and its behavior against the "drill" (Hypothenemus hampei) and "rust" (Hemileia vastatrix). An analysis of variance and a Duncan test were performed for each variable studied using the Statgraphic program. Then a multivariate analysis (main components and groupings) was carried out with the NTSYS program that allowed to know the characters that have expressed a greater degree of variability, as well as the relation between accessions. The accessions with the highest yields in average coffee cherry / plant were UNACAF-70 with 5.42 kg / plant and UNACAF-149 with 4.16 kg / plant; While the least outstanding accessions were UNACAF-151 with 0.22 kg / plant and UNACAF-223 with 0.15 kg / plant. Regarding the weight of dry parchment coffee per plant, the most outstanding accession remained UNACAF-70 with 1.1 kg / plant. Finally, the most discriminating characters were cherry coffee weight, dry parchment coffee weight, number of fruits per plant, pulp weight of 100 mature fruits and weight of 100 mature fruits. Keywords: coffee plant, coffee berry borer, coffee rust disease, multivariate analysis.

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Combining Ability and Molecular Marker Approach Identified Genetic Resources to Improve Agronomic Performance in Coffea arabica Breeding

Frontiers in Sustainable Food Systems ◽

10.3389/fsufs.2021.705278 ◽

2021 ◽

Vol 5 ◽

Author(s):

Alexsandra Correia Medeiros ◽

Eveline Teixeira Caixeta ◽

Antonio Carlos Baião de Oliveira ◽

Tiago Vieira Sousa ◽

Vinícius de Moura Stock ◽

...

Keyword(s):

Combining Ability ◽

Coffea Arabica ◽

Agronomic Traits ◽

Phenotypic Diversity ◽

Diallel Analysis ◽

Molecular Data ◽

Joint Analysis ◽

Breeding Programs ◽

Parent Selection ◽

Selection Of

Plant breeding aims to develop cultivars with good agronomic traits through gene recombination and elite genotype selection. To support Coffea arabica breeding programs and assist parent selection, molecular characterization, genetic diversity (GD) analyses, and circulating diallel studies were strategically integrated to develop new cultivars. Molecular markers were used to assess the GD of 76 candidate parents and verify the crossing of potential F1 hybrids. Based on the complementary agronomic traits and genetic distance, eight elite parents were selected for circulating diallel analysis. The parents and 12 hybrids were evaluated based on 10 morpho-agronomic traits. For each trait, the effects of general and specific combining abilities, as well as the averages of the parents, hybrids, and predicted hybrids, were estimated. Crosses that maximize the genetic gains for the main agronomic traits of C. arabica were identified. Joint analysis of phenotypic and molecular data was used to estimate the correlation between molecular GD, phenotypic diversity (PD), phenotypic mean, and combining ability. The selection of parents that optimize the allele combination for the important traits of C. arabica is discussed in detail.

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