Principal Component Analysis for Identification of Superior Castor Bean Hybrids

The identification of superior genotypes in plant breeding programs is not a quick and simple task and requires breeders to become aware of more suitable and efficient tools for evaluating crop performance. Univariate analyses are often too narrow for the scope of plant breeding because it lacks consideration of relations between variables. Therefore, the objective of this study was to select castor bean hybrids based on principal component analysis (PCA). Trials were conducted in 2017 with 31 hybrids in a randomized block design with 4 replications. The following variables were used to evaluate crop performance: plant height (PH), insertion height of the primary raceme (HPR), number of stem nodes (NN), number of racemes (NR), number of seeds (NS), stem diameter (SD), number of fruits (NF), 100-seed weight (S100) and seed oil content (SOC). The first three principal components (PCs) explained approximately 75.01 % of all the variability in the dataset. PC 1, 2 and 3 were particularly related to productivity (NS, NR, S100 and NF), plant size (SD, HPR and PH) and oil production (SOC), respectively. Hybrids 14 and 23 were the most suitable for grain production in commercial scale due to short-height, which favors mechanical harvesting. Commercial hybrid 26 showed high SOC, medium grain yield and medium-height.

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Principal Component Analysis and Stability of Genotypes in French Bean (Phaseolus vulgaris L.)

Legume Research - An International Journal ◽

10.18805/lr-4569 ◽

2021 ◽

Author(s):

B. Rajasekhar Reddy ◽

Maneesh Pandey ◽

J. Singh ◽

P.M. Singh ◽

N. Rai

Keyword(s):

Principal Component Analysis ◽

Stability Analysis ◽

Principal Components ◽

Block Design ◽

Principal Component ◽

Component Analysis ◽

French Bean ◽

Pod Yield ◽

Randomized Block Design ◽

Stable Yield

Background: Principal component analysis and Finlay-Wilkinson stability analysis were carried out at research farm of ICAR-Indian Institute of Vegetable Research, Varanasi to identify diverse french bean genotypes for green pod yield and suitable genotypes for stable yield and yield related parameters.Methods: All the 24 genotypes were laid out in randomized block design with two replications during winter, 2017 and 2018. Principal component analysis and stability analysis was done to identify the diverse and stable genotypes.Result: Eight principal components were observed and the maximum variability was concentrated in the first three principal components PC1, PC2 and PC3 which contributed to 68.61% variance. Cluster analysis from principal component scores formed three clusters with a maximum of seventeen genotypes in cluster I followed by six genotypes in cluster II and one genotype in cluster III. High heritability was observed for 10 pod weight, number of pods per cluster and number of seeds per pod and moderate heritability was observed for yield per plant. Finlay-Wilkinson stability analysis identified the stable genotypes viz., FMGCV 1378, FMGCV 0958, Arka Suvidha, Valentino, Banoa and VRFBB-14-2 for green pod yield per plant, Cartagenta for pod length (cm) and Paulista, Slender Pack, Arka Suvidha, Valentino, FMGCV 0958, Banoa, FORC 6V 1136, VRFBB-14-1, VRFBB-14-2 for number of pods per plant.

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Repeatability coefficients and number of measurements for evaluating traits in strawberry

Acta Scientiarum Agronomy ◽

10.4025/actasciagron.v42i1.43357 ◽

2020 ◽

Vol 42 ◽

pp. e43357 ◽

Cited By ~ 2

Author(s):

Maria Inês Diel ◽

Alessandro Dal'Col Lúcio ◽

Tiago Olivoto ◽

Marcos Vinícius Marques Pinheiro ◽

Dionatan Ketzer Krysczun ◽

...

Keyword(s):

Principal Component Analysis ◽

Block Design ◽

Principal Component ◽

Titratable Acidity ◽

Component Analysis ◽

Soluble Solids ◽

Repeatability Coefficient ◽

Randomized Block Design ◽

Crop Cycle ◽

Substrate Mixtures

The objective of this study was to estimate the coefficient of repeatability and the number of measurements required for production and quality variables in a strawberry crop. An experiment was conducted with two strawberry cultivars from two origins grown in four substrate mixtures, totaling 16 treatments, evaluated in a randomized block design with four replications. Mass (MF) and number (NF) of fruits per plant were evaluated as measures of production, and total soluble solids (SST), titratable acidity (AT) and firmness (FIR) of fruits during the crop cycle were evaluated as measures of quality. Subsequently, the repeatability coefficient was estimated by the following methods: analysis of variance (ANOVA), principal component analysis using a correlation matrix (PCcor), principal component analysis using a variance-covariance matrix (PCcov) and structural analysis (SA). The number of measurements was adjusted for each studied variable based on determination coefficients of 0.80, 0.85, 0.90, and 0.95. The repeatability coefficients ranged from low to medium. The ANOVA method gave the lowest r values, while the PCcov method presented the highest values of r. When using the PCcov method, 3.6, 2.9, 6.2, 3.2, and 3.8 measurements were needed to reach 80% confidence for the variables MF, NF, SST, AT, and FIR, respectively, and this increased to 7.3, 14.0, 29.6, 15.4, and 18.1 for 95% confidence in the results for MF, NF, SST, AT, and FIR, respectively.

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Inheritance and Heritability of Resistance to Citrus Leprosis

Phytopathology ◽

10.1094/phyto-96-1092 ◽

2006 ◽

Vol 96 (10) ◽

pp. 1092-1096 ◽

Cited By ~ 11

Author(s):

Marinês Bastianel ◽

Antonio Carlos de Oliveira ◽

Mariângela Cristofani ◽

Oliveiro Guerreiro Filho ◽

Juliana Freitas-Astúa ◽

...

Keyword(s):

Principal Component Analysis ◽

Growth Parameters ◽

Block Design ◽

Principal Component ◽

Component Analysis ◽

Factorial Analysis ◽

Inheritance Of Resistance ◽

Measured Variable ◽

Citrus Leprosis ◽

Discriminant Factorial Analysis

The genetic inheritance of resistance to leprosis, the most important viral disease of citrus in Brazil, was characterized through the phenotypic assessment of 143 hybrids resulting from crosses between tangor ‘Murcott’ (Citrus sinensis × C. reticulata) and sweet orange ‘Pêra’ (C. sinensis), considered to be resistant and susceptible to the disease, respectively. All plants were grafted onto Rangpur lime (C. limonia) and inoculated with Citrus leprosis virus, cytoplasmic type through the infestation with viruliferous mites, Brevipalpus phoenicis. The experiments were arranged in a completely randomized block design with 10 replicates. Incidence and severity of the disease in leaves and stems as well as plant growth parameters (plant height and stem diameter) were recorded for 3 years after the infestation with the viruliferous mites. The average values of all variables were analyzed using principal component analysis, discriminant factorial analysis, estimation of the clonal repeatability coefficients, and frequency of the distributions of the average values for each measured variable. The principal component analysis resulted in the identification of at least two groups with resistance and susceptibility to leprosis, respectively. About 99% of all hybrids were correctly classified according to the discriminant factorial analysis. The broad-sense heritability coefficients for characteristics associated with incidence and severity of leprosis ranged from 0.88 to 0.96. The data suggest that the inheritance of resistance to leprosis may be controlled by only a few genes.

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Morphological characterization and selection of castor bean accessions for mechanized production1

Pesquisa Agropecuária Tropical ◽

10.1590/1983-40632019v4956749 ◽

2019 ◽

Vol 49 ◽

Cited By ~ 2

Author(s):

Sebastião Soares de Oliveira Neto ◽

Matheus Kainan de Paula Manjavachi ◽

Douglas Mariani Zeffa ◽

Maria Márcia Pereira Sartori ◽

Maurício Dutra Zanotto

Keyword(s):

Principal Component Analysis ◽

Castor Bean ◽

Ricinus Communis ◽

Principal Component ◽

Component Analysis ◽

Morphological Characterization ◽

Group Method ◽

Mechanized Production ◽

Breeding Programs ◽

Selection Of

ABSTRACT Castor bean (Ricinus communis L.) is an oilseed found in different regions worldwide, due to its easy propagation and adaptability. Cropping more productive disease-resistant genotypes that enable a mechanized production ensures greater economic returns for farmers. This study aimed to morphologically characterize and select promising castor bean accessions for mechanized cropping, mainly as a source of genetic variability for breeding programs with this purpose. Fifty accessions were assessed. Analysis of variance, dissimilarity clustering via the unweighted pair-group method with arithmetic mean (UPGMA) and principal component analysis were used to analyze the collected data. The dissimilarity analysis based on the Gower distance for qualitative and quantitative variables revealed three groups of accessions and the principal component analysis enabled the selection of those with desirable traits. The accessions BOC1, PRAT1 and SM2 exhibited morpho-agronomic characteristics of interest to the mechanized production, such as ideal plant height, diameter, seed weight and oil content. Such genotypes show a potential for use as genitors in genetic breeding programs of castor bean.

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CHARACTERIZATION AND SIMILARITY ANALYSIS OF 15 TOMATO GENOTYPES IN LOWLANDS BASED ON MORPHOLOGICAL CHARACTERS

AgroTech Journal ◽

10.31327/atj.v2i2.309 ◽

2017 ◽

Vol 2 (2) ◽

pp. 1-6

Author(s):

Helfi Eka Saputra ◽

Muhammad Syukur ◽

Syarifah Iis Aisyah

Keyword(s):

Principal Component Analysis ◽

Cluster Analysis ◽

Genetic Similarity ◽

Block Design ◽

Principal Component ◽

Component Analysis ◽

Similarity Analysis ◽

Group I ◽

And Cluster Analysis ◽

Tomato Genotypes

This study aimed to obtain information about the characteristics of 15 genotypes and to study a genetic similarity of each genotype that will be used for producing superior tomato varieties in lowlands. The research was conducted from March to August 2012 at the Experimental Field Leuwikopo Bogor Agricultural University, Darmaga Bogor. The experiment used The Randomized Complete Block Design (RCBD) using a single factor of genotype with three replications. Characterization and similarity analysis used the method of principal component analysis and cluster analysis. Based on principal component analysis and cluster analysis of tomato genotypes, it can be classified into three groups: group I (IPBT1, IPBT4, IPBT8, IPBT13, IPBT58, IPBT83 and IPBT84), Group II (IPBT3, IPBT23, IPBT30, IPBT33, IPBT34, IPBT53 and IPBT57) and group III (IPBT80). Characters with an influence on the genetic diversity of each component are the size of the cork layer between the scar stalk and the size of the center of the fruit in transverse slices. The genotypes with a high genetic similarity were IPBT1 and IPBT8, while IPBT30 with IPBT80 had a low genetic similarity

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Impact of the Application of Domestic Wastewater by Subsurface Drip Irrigation on the Soil Solution in Sugarcane Cultivation

Applied and Environmental Soil Science ◽

10.1155/2019/8764162 ◽

2019 ◽

Vol 2019 ◽

pp. 1-11

Author(s):

Aline Azevedo Nazário ◽

Ivo Zution Gonçalves ◽

Eduardo Augusto Agnellos Barbosa ◽

Leonardo Nazário Silva dos Santos ◽

Daniel Rodrigues Cavalcante Feitosa ◽

...

Keyword(s):

Principal Component Analysis ◽

Soil Solution ◽

Drip Irrigation ◽

Block Design ◽

Principal Component ◽

Component Analysis ◽

Domestic Sewage ◽

Subsurface Drip Irrigation ◽

Subsurface Drip ◽

The Impact

The agricultural use of domestic sewage is a viable alternative for recycling nutrients; however, there is concern regarding the impact of its use due to the concentration of chemical elements present in this type of effluent. The use of principal component analysis determines the existence or lack of anomalous samples and the relations between measured variables and their relative contribution among samples that help in monitoring the impact of the use of effluents on soil chemical components. Thus, the objective of this work was to identify nutrient ions present in the soil solution during the first ratoon sugarcane irrigated with treated domestic sewage applied by subsurface drip irrigation. The experiment was conducted under a randomized block design with 5 treatments and 5 replicates. The treatments were distributed according to the type of water applied in the irrigation system (water surface reservoir and treated domestic sewage), the installation depth of the drip tapes (0.2 or 0.4 m depth), and the treatment without irrigation. By means of soil solution, it was possible to identify an increase in the concentration of salts in the treatments irrigated with treated domestic sewage, which however did not affect the soil quality in the short term. The principal component analysis selected the variables Ca2+, Mg2+, NO3−, K+, and EC as soil solution indicators to monitor areas irrigated with treated domestic sewage.

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A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽

10.1024/0301-1526/a000218 ◽

2012 ◽

Vol 41 (5) ◽

pp. 333-342 ◽

Cited By ~ 3

Author(s):

Kirchberger ◽

Finger ◽

Müller-Bühl

Keyword(s):

Principal Component Analysis ◽

Intermittent Claudication ◽

Completion Time ◽

Short Form ◽

Principal Component ◽

Component Analysis ◽

German Version ◽

Average Completion Time ◽

Sf 36 ◽

Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbachs alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbachs alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

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