scholarly journals Variation in Agro-morphological Traits of Some Turkish Local Pop, Flint and Dent Maize (Zea mays L.)

2019 ◽  
Vol 11 (1) ◽  
pp. 149-153
Author(s):  
Fatih ÖNER
Keyword(s):  
Discriminant Function ◽  
Morphological Traits ◽  
Function Analysis ◽  
Principal Component ◽  
Kernel Weight ◽  
Leaf Length ◽  
High Eigenvalue ◽  
Maize Varieties ◽  
Positive Correlations ◽  
Multivariate Discriminant

Turkish maize accessions collected from north of Turkey were investigated for agro-morphologic variation in three maize kernel types (flint, pop and dent) including 79 accessions. Eight agronomic and morphologic traits (ear length, ear kernel row number, ear height, leaf number, 1000 kernel weight, tassel length, leaf width and leaf length) were analysed by ANOVA and principal component analysis. Varieties and accessions were found significantly different for variance components which were made up high variance due to accessions. Positive correlations were found between agronomic and morphologic traits. Multivariate discriminant function analysis with eight traits revealed that first two of multivariate correlation covered 86.6%, and next 69% of total variation among accessions and the first multivariate discriminant function had high eigenvalue with 76.8% of total variance between varieties belonged to flint and pop maize accessions while the second multivariate variable belonged to flint and dent maize accessions. These multivariate variables correctly classify three maize varieties maintaining maize accessions for their various characteristics with agronomic and morphological traits.

Search-phase echolocation calls of the New Zealand lesser short-tailed bat (Mystacina tuberculata) and long-tailed bat (Chalinolobus tuberculatus)

1997 ◽  
Vol 75 (9) ◽  
pp. 1487-1494 ◽  
Author(s):  
Stuart Parsons
Keyword(s):  
New Zealand ◽  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
High Rate ◽  
Echolocation Calls ◽  
Spectral Components ◽  
Lower South ◽  
Rate Of Success ◽  
Multivariate Discriminant

This paper describes the search-phase echolocation calls of lesser short-tailed bats (Mystacina tuberculata) and long-tailed bats (Chalinolobus tuberculatus). Calls were recorded from all three subspecies of short-tailed bat and seven populations of long-tailed bat, three in Northland, two in the central North Island, and two in the lower South Island. The calls were recorded in the field and digitised, then three spectral components and one temporal component of the calls were measured. Calls of the lesser short-tailed bat could be loosely classified into subspecies by means of multivariate discriminant function analysis. Similarly, long-tailed bat calls showed regional variation, and discriminant function analysis was able to fit calls to regional groups with a high rate of success. The significance of the results presented is discussed in terms of the conservation of New Zealand bats and the unique ecology of the lesser short-tailed bat.

Principal component analysis and brain-based predictors of emotion regulation in anxiety and depression

2018 ◽  
Vol 49 (14) ◽  
pp. 2320-2329 ◽  
Author(s):  
Heide Klumpp ◽  
Kerry L. Kinney ◽  
Runa Bhaumik ◽  
Jacklynn M. Fitzgerald
Keyword(s):  
Principal Component Analysis ◽  
Emotion Regulation ◽  
Anxiety Disorder ◽  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Anxiety And Depression ◽  
Negative Images

AbstractBackgroundReappraisal, an adaptive emotion regulation strategy, is associated with frontal engagement. In internalizing psychopathologies (IPs) such as anxiety and depression frontal activity is atypically reduced suggesting impaired regulation capacity. Yet, successful reappraisal is often demonstrated at the behavioral level. A data-driven approach was used to clarify brain and behavioral relationships in IPs.MethodsDuring functional magnetic resonance imaging, anxious [general anxiety disorder (n = 43), social anxiety disorder (n = 72)] and depressed (n = 47) patients reappraised negative images to reduce negative affect (‘ReappNeg’) and viewed negative images (‘LookNeg’). After each trial, the affective state was reported. A cut-point (i.e. values <0 based on ΔReappNeg-LookNeg) demarcated successful reappraisers. Neural activity for ReappNeg-LookNeg, derived from 37 regions of interest, was submitted to Principal Component Analysis (PCA) to identify unique components of reappraisal-related brain response. PCA factors, symptom severity, and self-reported habitual reappraisal were submitted to discriminant function analysis and linear regression to examine whether these data predicted successful reappraisal (yes/no) and variance in reappraisal ability.ResultsMost patients (63%) were successful reappraisers according to the behavioral criterion (values<0; ΔReappNeg-LookNeg). Discriminant function analysis was not significant for PCA factors, symptoms, or habitual reappraisal. For regression, more activation in a factor with high loadings for frontal regions predicted better reappraisal facility. Results were not significant for other variables.ConclusionsAt the individual level, more activation in a ‘frontal’ factor corresponded with better reappraisal facility. However, neither brain nor behavioral variables classified successful reappraisal (yes/no). Findings suggest individual differences in regions strongly implicated in reappraisal play a role in on-line reappraisal capability.

scholarly journals Use of neural networks to diagnose acute myocardial infarction. I. Methodology

1996 ◽  
Vol 42 (4) ◽  
pp. 604-612 ◽  
Author(s):  
J S Jørgensen ◽  
J B Pedersen ◽  
S M Pedersen
Keyword(s):  
Myocardial Infarction ◽  
Neural Networks ◽  
Acute Myocardial Infarction ◽  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
Principal Component ◽  
Clinical Problem ◽  
Usual Practice ◽  
Linear Discriminant

Abstract We investigated several aspects of using neural networks as a diagnostic tool: the design of an optimal network, the amount of patients' data needed to train the network, the question of training the network optimally while avoiding overfitting, and the influence of redundant variables. The specific clinical problem chosen for illustration was the diagnosis of acute myocardial infarction, given only the electrocardiogram and the concentration of potassium in serum at the time of admission. We found that, in contrast to usual practice, the termination of the training process should be based on the generalization performance and not on the training performance. We also found that a principal component analysis can be used to eliminate redundant variables, thereby reducing the data space. The diagnostic performance of the neural network we used was 78%--superior to that of linear discriminant function analysis but similar to that of quadratic discriminant function analysis.

scholarly journals Identification of sex using discriminant function analysis of fingerprint ridge density at three topological areas among North Indian population

2020 ◽  
Vol 83 (4) ◽  
pp. 349-361
Author(s):  
Maninder Kaur ◽  
Mankamal Kaur ◽  
Jigmath Yangchan
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Indian Population ◽  
Function Analysis ◽  
North Indian Population ◽  
Left Hand ◽  
The North ◽  
Study Population ◽  
The Right ◽  
Multivariate Discriminant

AbstractThe present study attempted to identify sex of an individual using a fingerprint ridge density at three topological areas in the North Indian population. The study population consisted of 134 males and 136 females aged 17 to 25 years (mean age 19.34±2.12). Ridge density (RD) at radial, ulnar and proximal topological areas of the distal phalanges were determined on the surface area of 25mm2. Fingerprint ridge density in a defined area was significantly higher among females as compared to their male counterparts at radial, ulnar and proximal topological areas for both hands. Sexual dimorphic ratio also supported this trend for all three counting areas in right and left hands. Univariate discriminant function analysis explained that the left 2 radial (L2R) (88.1%) had the highest percentage of accuracy for sex identification, followed by the left 3 ulnar (L3U) (82.1%) and the right 2 ulnar (R2U) (81.6%). Multivariate discriminant function analysis showed that the radial topological area of the left hand was the best predictor of sex with the overall accuracy of 84.4%with following discriminant function equation −8.263 − 0.236(L1R) + + 0.321(L2R) + 0.269(L3R) + 0.268(L4R) − 0.067(L5R).It can be inferred that ridge density in the radial topological area of left hand is the most reliable tool for identifying the sex of an individual.

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.

Morphometric variations of the Genus Barbonymus (Pisces, Cyprinidae) harvested from Aceh Waters, Indonesia

2018 ◽  
Vol 26 (4) ◽  
pp. 231-237
Author(s):  
Agung Setia Batubara ◽  
Zainal A. Muchlisin ◽  
Deni Efizon ◽  
Roza Elvyra ◽  
Nur Fadli ◽  
...  
Keyword(s):  
Discriminant Function ◽  
Discriminant Function Analysis ◽  
Function Analysis ◽  
Morphological Characteristics ◽  
Morphometric Data ◽  
Morphometric Characters ◽  
Fish Samples ◽  
Univariate Anova ◽  
Multivariate Discriminant

Abstract The objective of the present study was to analyze the morphometric variations of the three presumed taxa within the Barbonymus group, namely B. gonionotus, referred to locally as naleh; B. schwanenfeldii, referred to locally as lampam-A; and Barbonymus sp. referred to locally as lampam-B. The naleh samples were collected from Nagan Raya District, while lampam-A and lampam-B were collected from Aceh Tamiang District, Indonesia. Traditional morphometric characters were measured in 150 fish samples (50 individuals of every taxon). The results of univariate (ANOVA) and multivariate (Discriminant function analysis, DFA) analyses showed that lampam-A and lampam-B have overlapping morphological characteristics, whereas naleh were distinctly different. Therefore, it is presumed that lampan A and lampan B are the same species of B. schwanenfeldii. It was concluded that the morphometric data indicated that there are two species of Barbonymus in Aceh waters, i.e., B. schwanenfeldii and B. gonionotus.

scholarly journals Morphological Changes of Mexican Native Succulent Plants in a Vertical Greenery System Compared with Pot Conditions

2018 ◽  
Vol 28 (3) ◽  
pp. 304-309
Author(s):  
Carlos Efraín Reyes-González ◽  
José Pablo Torres-Morán ◽  
Blanca Catalina Ramírez-Hernández ◽  
Liberato Portillo ◽  
Enrique Pimienta-Barrios ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Morphological Traits ◽  
Morphological Changes ◽  
Statistical Significance ◽  
Principal Component ◽  
Leaf Length ◽  
Chlorophytum Comosum ◽  
Green Walls ◽  
Succulent Plants ◽  
Spider Plant

Adaptation parameters as leaf width, leaf length, mesophyll thickness, number of adaxial and abaxial stomata, and biomass were measured in eight stonecrop species (Crassulaceaae), spider plant (Chlorophytum comosum), and maria’s heart (Peperomia tepoztecoana) in vertical greenery system (VGS) and containers (POT). Statistical significance among parameters was probed by t test and principal component analysis was performed to detect global morphological changes. Mexican gem (Echeveria elegans), graptosedum (× Graptosedum ‘Vera Higgins’), lavender scallops (Kalanchoe fedtschenkoi), coppertone sedum (Sedum nussbaumerianum), ghost plant (Graptopetalum paraguayense), and jelly-beans (Sedum rubrotinctum) were the species that did not change significantly their morphological traits during growth in the VGS. This provides evidence of the potential for these species to be used in green walls or any VGS while maintaining their characteristic shape and beauty. Graptopetalum (Graptopetalum macdougalli), gray sedum (Sedum griseum), maria’s heart, and spider plant showed changes in its morphology during growth in the VGS when compared with growth in POT, indicating a lower potential for adaption to VGS.

scholarly journals Identification of Salicornia population: Anatomical characterization and RAPD fingerprinting

2011 ◽  
Vol 63 (4) ◽  
pp. 1087-1098 ◽  
Author(s):  
Dubravka Milic ◽  
Jadranka Lukovic ◽  
Mihajla Djan ◽  
Lana Zoric ◽  
Dragana Obreht ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Discriminant Function Analysis ◽  
Rapd Analysis ◽  
Function Analysis ◽  
Random Amplified Polymorphic Dna ◽  
Principal Component ◽  
The Other ◽  
Salicornia Europaea ◽  
New Strategy ◽  
Multivariate Discriminant

Anatomical and Random Amplified Polymorphic DNA (RAPD) analysis of two typical populations of Salicornia europaea from Montenegro and Greece (Lesvos), one typical population of S. ramosissima from Spain and one population that belongs to the Salicornia genus from Serbia, was undertaken to develop a new strategy for identifying Salicornia plants. Anatomical variability and differentiation were examined using Principal Component Analysis (PCA) and Multivariate Discriminant Function Analysis (MDA). On the basis of the anatomical measurements, the four populations were classified into three groups: one joining the plants from Serbia and Spain, one comprising the Montenegrin group and one comprising the Lesvos group. RAPD analysis indicated that populations from Spain and Serbia were closely related to each other and the Lesvos group was quite different from all the other investigated populations. These results opened up the possibility that the specimens from Serbia belonged to S. ramosissima and not to S. europaea, as reported previously.

scholarly journals Leaf morphological traits of Orophea spp. (Annonaceae): Living collections of Purwodadi Botanic Gardens, East Java, Indonesia

2021 ◽  
Vol 22 (6) ◽  
Author(s):  
Dewi Ayu Lestari ◽  
ABBAN PUTRI FIQA ◽  
ILHAM KURNIA ABYWIJAYA
Keyword(s):  
Morphological Traits ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Leaf Length ◽  
Width Ratio ◽  
Leaf Margin ◽  
Botanic Gardens ◽  
Lowland Forest ◽  
Living Plant ◽  
Leaf Morphological Traits

Abstract. Lestari DA, Fiqa AP, Abywijaya IK. 2021. Leaf morphological traits of Orophea spp. (Annonaceae): Living collections of Purwodadi Botanic Gardens, East Java, Indonesia. Biodiversitas 22: 3403-3411. Orophea (Annonaceae) have various benefits and play important roles in lowland forest structures. Due to their importance, various Orophea species currently require identification for research and conservation purposes. One of many important variables for such purpose is leaf morphometrical features. This study aimed to investigate leaf morphometrical variations, measure morphometrical similarities, and identify determinant morphometrical traits for species identification in Orophea spp. As many as 23 living plant specimens of Orophea spp. cultivated in Purwodadi Botanic Gardens (belongs to 4 species: Orophea celebica, O. chlorantha, O. enneandra, O. hexandra and an unidentified Orophea sp.) were observed. Twelve measured leaf morphometrical traits in this study were leaf length and width, petiole length, distance from leaf base to the widest part of the leaf, number of secondary veins, apex and base shape, leaf area, length of leaf margin, length to width ratio, leaf roundness and slimness indices. Data were analyzed using multiple one-way ANOVA, Hierarchical Cluster and Principal Component Analyses from within R. The results highlighted that O. hexandra was the most distinguishable species with number of secondary veins, length to width ratio, and leaf slimness as the most distinct characters. The unidentified species of Orophea sp. exhibited morphometrical characters similar to O. chlorantha. No distinct leaf morphometrical traits were able to be identified as determinant characters to each species. Thus, suggesting leaf morphological traits analyses to be used only as a supporting component for plant identification, while still paying attention to the plant’s generative characters.

Sign in / Sign up

Export Citation Format

Share Document