scholarly journals Evaluation of the Characteristics of Native Wild Himalayan Fig (Ficus palmata Forsk.) from Pakistan as a Potential Species for Sustainable Fruit Production

2022 ◽  
Vol 14 (1) ◽  
pp. 468
Author(s):  
Muhammad Riaz Khan ◽  
Muhammad Azam Khan ◽  
Umer Habib ◽  
Mehdi Maqbool ◽  
Rashid Mehmood Rana ◽  
...  
Keyword(s):  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Fruit Production ◽  
Fruit Shape ◽  
Fruit Weight ◽  
High Variability ◽  
Local Economy ◽  
Jammu And Kashmir ◽  
Ficus Palmata

Wild Himalayan figs (Ficus palmata Forsk.), native to East Asia and the Himalayan region, are closely related to the well-known cultivated fig (Ficus carica L.), which is grown mainly in the Mediterranean region. The Pakistani state of Azad Jammu and Kashmir has a rich variety of figs. However, no comprehensive study has been carried out to utilise the diversity of these wild figs for possible use in sustainable fruit production. Therefore, the present study was designed to assess the variability of 35 wild fig accessions using quantitative and qualitative traits. Descriptive statistics were used to measure quantitative characteristics, while the coefficient of variance (CV %) was analysed using SAS® version 9.1. A principal component analysis (PCA) and multivariate analysis were performed using R Studio (v1.1.4). Pearson correlation coefficients between characteristics were obtained using SPSS software. The studied accessions showed high variability and the coefficient of variation (CV) ranged from 4.46–14.81%. Days to maturity varied from 71 to 86, leaf area from 38.55 to 90.06 cm2. The fruit length, fruit diameter and fruit weight ranged from 11.25 to 29.85 mm, 11.85 to 27.49 mm and 2.65 to 9.66 g, respectively. The photosynthetic activity and total chlorophyll content also varied from 7.94 to 10.22 μmol CO2 m−2s−1 and 37.11 to 46.48 μgml−1. In most of the fig accessions studied, apical dominance was found to be ‘absent’ while fruit shape was observed to be ‘globular’. A strong correlation was observed between all the studied characteristics. In the PCA analysis, all 35 fig accessions were distributed in four quadrants and showed a great diversity. This could be a valuable gene pool for future breeding studies and provide improved quality varieties. Wild Himalayan figs from the wild are well adapted to local pedoclimatic conditions and, combined with easy propagation and production can contribute to the local economy and have a significant impact on the socio-economic and ecological balance. The results of this study show high variability in some of the studied traits of 35 accessions from different parts of Northeast Pakistan, indicating their good potential for further enhancement and utilisation in sustainable agricultural production.

scholarly journals Nutritional Diversity and Antioxidant Activity of Two Indigenous Quince Ecotypes from Rawalakot, Azad Jammu and Kashmir

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Noosheen Zahid ◽  
Mehdi Maqbool ◽  
Majid Mahmood Tahir ◽  
Abdul Hamid ◽  
Aqeel Ahmad ◽  
...  
Keyword(s):  
Prediction Models ◽  
Correlation Coefficients ◽  
Soil Nutrient ◽  
Fruit Production ◽  
Fruit Weight ◽  
Climatic Conditions ◽  
Raw Material ◽  
Nutrition Status ◽  
Jammu And Kashmir ◽  
Nutrient Contents

Quince fruit is mostly used to produce functional products. Recently, the value of this crop has increased due to demand as industrial raw material. The state of Azad Jammu and Kashmir and specifically Rawalakot, District Poonch, is blessed with climatic conditions which are very much suitable for quince production, and therefore, a huge plantation could be found in wild. In this regard, this study was designed to collect two different accessions of quince (apple-shaped quince (ASQ) and pear-shaped quince (PSQ)) from three different locations (Dhamni (elevation: 5431 ft), Shamsabad (elevation: 5374 ft), and Drake (elevation: 3378 ft)) of Rawalakot, District Poonch, and analyze their physicochemical and mineral nutrients of fruit and the soil. Correlation coefficients were established pairwise. Results showed that physicochemical nutrients were significantly ( P ≤ 0.05 ) higher in ASQ fruits as compared with PSQ fruits. Further, fruits collected from location at higher elevation (Dhamni) showed better results as compared with fruits collected from lower elevations. Moreover, increased amount of nitrogen contents in the soil resulted in increased fruit weight. Similarly, fruit quality indices and bioactive compounds showed a positive correlation with the increased soil nutrient contents. These prediction models for quality of quince could be useful in guiding plant nutrition status and for enhancing fruit production in this region.

scholarly journals ASSOCIATIONS BETWEEN TRAITS IN FISÁLIS: A TOOL FOR INDIRECT SELECTION OF SUPERIOR PLANTS

2017 ◽  
Vol 39 (4) ◽  
Author(s):  
NICOLE TREVISANI ◽  
RITA CAROLINA DE MELO ◽  
MAURO PORTO COLLI ◽  
JEFFERSON LUÍS MEIRELLES COIMBRA ◽  
ALTAMIR FREDERICO GUIDOLIN
Keyword(s):  
Path Analysis ◽  
Pearson Correlation ◽  
Block Design ◽  
Correlation Coefficients ◽  
Indirect Selection ◽  
Fruit Weight ◽  
Physalis Peruviana ◽  
Randomized Block Design ◽  
Number Of Seeds ◽  
Fruit Diameter

ABSTRACT Knowledge about associations between traits is fundamental for plant breeding, since indirect selection can accelerate the development of promising genotypes. This study assessed the magnitude of associations between agronomically important traits in fisális (Physalis peruviana L). The experiment was conducted in Lages, Santa Catarina, and the treatments consisted of six fisális populations. The experiment was arranged in a randomized block design, with two replications and seven plants per plot. The correlations between traits were estimated based on the Pearson correlation coefficients and partitioned into direct and indirect effects through path analysis. Fruit weight was positively correlated with number of seeds (0.874), equatorial fruit diameter (0.738) and polar fruit diameter (0.672). By path analysis, number of seeds was identified as the trait with the highest direct contribution to fruit weight. The high phenotypic correlations between the equatorial and polar fruit diameters with fruit weight were mainly due to the indirect effect via number of seeds (0.505 and 0.459). The selection for heavier fisális fruits was strongly influenced by number of seeds, i.e., this trait should be taken into account for selection.

scholarly journals Influence of vineyard peach selections on vigour and initial yield in peach and nectarine

Genetika ◽  
2013 ◽  
Vol 45 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Gordan Zec ◽  
Milica Fotiric-Aksic ◽  
Slavica Colic ◽  
Todor Vulic ◽  
Dragan Nikolic ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Analysis Of Variance ◽  
Geographic Origin ◽  
Principal Component ◽  
Fruit Trees ◽  
Fruit Production ◽  
Fruit Weight ◽  
Open Pollination ◽  
Fruit Productivity ◽  
F1 Generation

Seedlings (progenies) of eight selected vineyard peach genotypes obtained by self and open pollination were examined in this study during three consecutive years. Two progenies from unselected vineyard peach genotypes with different geographic origin were used as a standard. Peach cv. Autumn Glo and nectarine cv. Stark Red Gold were grafted on F1 generation of eight vineyard peach selections and two standard progenies. Analysis of variance indicated statistically significant differences in vigour and fruit productivity between fruit trees grafted on different progenies of vineyard peach selections. A high correlation was found between rootstock vigour and fruit production of grafted cultivars. In addition, the principal component analysis made it possible to establish similar groups of rootstocks, depending on its influence to vigour, productivity and indexes of efficiency of grafted peach and nectarine cultivar. The most promising rootstocks for those two cultivars were PSK and 7S because grafted AG and SRG have high fruit weight, initial yields and very satisfactory rootstock, scion and canopy efficiency.

Associations Among the MCMI-II Clinical Syndrome Scales and the MMPI-2 Clinical Scales

Assessment ◽  
1994 ◽  
Vol 1 (4) ◽  
pp. 407-413 ◽  
Author(s):  
Mark A. Blais ◽  
Kenneth B. Benedict ◽  
Dennis K. Norman
Keyword(s):  
Convergent Validity ◽  
Discriminant Validity ◽  
Minnesota Multiphasic Personality Inventory ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Clinical Syndrome ◽  
Self Report ◽  
Clinical Scales ◽  
Axis I

The Millon Clinical Multiaxial Inventory—II (MCMI-II), a frequently used self-report measure of psychopathology, contains nine scales designed to assess Axis I psychopathology (the clinical syndrome and severe syndrome scales). This study explored the relationships among these nine MCMI-II clinical syndrome scales and the clinical scales of the Minnesota Multiphasic Personality Inventory–2 (MMPI-2). A sample of 108 psychiatric inpatients was administered both the MCMI-II and the MMPI-2 within 7 days of admission. Pearson correlation coefficients and principal component factors were obtained for the MCMI-II and MMPI-2 scales. The results provided support for the convergent validity of all the MCMI-II Axis I scales. However, the majority of the MCMI-II scales failed to demonstrate adequate discriminant validity in relation to the MMPI-2 scales. The principal component analysis revealed that method variance was the principal influence in determining factor loadings for the majority of test scales. This finding suggests that these two popular self-report tests differ substantially in how they measure psychopathology.

scholarly journals Statistical Analysis of the Physicochemical Parameters of Olive (Olea europaea L.) Ecotype Oils in the Oasis Region of Degache (Tunisia)

2020 ◽  
Vol 69 (3-4) ◽  
pp. 27-33
Author(s):  
Fathi Ben Amar ◽  
Sihem Ben Maachia ◽  
Mohamed Ayadi
Keyword(s):  
Linoleic Acid ◽  
Physicochemical Parameters ◽  
Acid Level ◽  
Pearson Correlation ◽  
Oil Quality ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Refraction Index ◽  
Olive Oils ◽  
Parameter Values

SummaryA total of seventeen olive ecotypes were identified in the oasis region of Degache (Tozeur, Tunisia). The following physicochemical parameters of their oils were studied: acidity, refraction index, polyphenol, chlorophyll and carotene contents, oleic, palmitic and linoleic acid levels and the UV absorbance (K232 and K270). The acidity, K232 and K270 parameter values were used to classify most of the olive oils considered as ‘extra virgin’. The highest carotene, chlorophyll and polyphenol contents of the olive oils examined were found to be 13.60 ppm, 9.10 ppm and 796 ppm, respectively. The oleic acid level of the olive oils considered ranged between 47% and 73%, whereas the palimtic acid level ranged between 11.8% and 23%, and the linoleic acid level ranged between 8.8% and 22.5%. Therefore, the fatty acid composition of the most olive oils considered was in keeping with the IOC norms. The Pearson correlation coefficients obtained were found to be negatively significant for the oleic, palmitic and linoleic acid levels recorded. The cluster and principal component analyses performed revealed the importance of fatty acids and polyphenol contents in the clustering of olive ecotypes. The selection of olive ecotypes according to oil quality is possible, requiring further studies focusing especially on their agronomic characters.

scholarly journals Population differences in morphological and anatomical traits of Pinus mugo Turra needles from the Polish part of the Tatra Mountains

2017 ◽  
Vol 78 (1) ◽  
pp. 67-76
Author(s):  
Ewa M. Pawlaczyk ◽  
Alina Bączkiewicz ◽  
Piotr Wawrzyniak ◽  
Magdalena Czołpińska ◽  
Patrycja Gonera ◽  
...  
Keyword(s):  
Natural Variation ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Pinus Mugo ◽  
Tatra Mountains ◽  
Tatra Mts ◽  
The Tatra Mountains ◽  
The Relationship ◽  
Two Populations

Abstract The main aim of this study was to describe the variation between the populations of the dwarf mountain pine Pinus mugo Turra based on the morphological and anatomical traits of their needles, and to investigate the relationship between the observed variation and environmental conditions (altitude and substrate). Two-year-old needles were collected from 180 individuals of six populations of P. mugo growing in the Tatra Mts. Two populations were classified as dense, located at 1360–1450 m altitude, and the remaining four formed loose clusters and were situated at 1500–1650 m altitude. Four of the populations are growing on granite and two on a limestone substrate. The natural variation of 10 morpho-anatomical and 3 synthetic needle traits was measured. In addition to descriptive statistics, the analyses of variance (ANOVA) with a Tukey test and principal component analysis were computed. We also estimated Pearson correlation coefficients for the examined needle traits and altitude as well as substrate. Our results indicate that the P. mugo populations differ significantly with regard to the investigated traits for which the Trzydniowiański Wierch population was the most distinct. The observed pattern of variability is largely caused by differences in stomatal traits and these features are positive correlated with altitude. Additionally, populations growing on granite have larger values for most of the examined traits compared to populations growing on limestone.

scholarly journals Chemometrics as a Tool in the Study of Lead Toxicity in Rats

2017 ◽  
Vol 59 (1) ◽  
Author(s):  
Judith Amador-Hernández
Keyword(s):  
Biochemical Parameters ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Lead Toxicity ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Glutathione S Transferase ◽  
Control Groups ◽  
Kidney Weight ◽  
Procrustean Analysis

<p>In this work, chemometric tools were applied to establish correlations between biomarkers and to identify the most significant ones in relation to acute exposure of Wistar rats to Pb. The metal content in biological matrices (serum, urine, liver, brain, and kidney), biochemical parameters (protein content, activity of the Glutathione S–Transferase enzymes, and urinalysis), apart from morphological measurements of organisms, were estimated in both the exposed and the control groups and submitted to Significance tests, Principal Component Analysis, Hierarchical Cluster Analysis, and Generalized Procrustean Analysis. It could be observed that Pb in serum, but not in erythrocytes, was the biomarker associated with the Pb content in kidney and other parameters related to this organ. In the same way, Pearson correlation coefficients emphasized the relation between Pb in serum and these variables, with the exception of kidney weight. Additionally, Pb in serum was found to be the biomarker with the greatest difference between the control and the exposed groups, which converts it into the most sensitive biomarker in the present study.   </p>

scholarly journals Assessment of Environmental Pollution of Heavy Metals Deposited on the Leaves of Trees in Yazd Bus Terminals

2021 ◽  
Author(s):  
motahareh esfandiari ◽  
Mohammad Ali Hakimzadeh
Keyword(s):  
Heavy Metals ◽  
Spatial Distribution ◽  
Green Space ◽  
Pearson Correlation ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Absorption Spectrometry ◽  
Urban Transport ◽  
Heavy Elements ◽  
And Cluster Analysis

Abstract There is a lack of information about urban transport activity in adding heavy elements to the environment. This research assesses concentration some of heavy elements in the deposited atmospheric dust in Yazd bus terminals. Dust samples were collected from the green space in the bus terminals of urban transportation. Following the digestion by nitric acid, determination of the total metal concentration of cadmium(Cd), cobalt(Co), copper(Cu), nickel(Ni), lead(Pb), zinc(Zn), chromium (Cr), and manganese(Mn) in the dust were performed via Atomic Absorption Spectrometry. The map representing the spatial distribution of metals was plotted and their source was identified using Pearson correlation coefficients, Principal Component Analysis(PCA), and Cluster Analysis(CA). The findings indicated that the mean concentration of heavy metals in the deposited dust on the leaves of the trees was in the following order; Cd < Co < Ni < Pb < Cu < Zn < Cr < Mn. The map representing the spatial distribution of heavy metal concentrations indicated that the abundance of metals in different stations varies according to their location. Two important sources for the concentration of heavy metals in the deposited dust on the leaves were identified. The sources of Co, Cd, Mn, and Ni were anthropogenic and lithogenic, and the sources of Pb, Zn, Cr and Cu were the traffic and industrial activities. The amounts of EF, CF, IPI and, RI Indicators in residential, commercial, green space and environmental uses were estimated at low to extremely high levels of pollution. The findings showed that the growth of industrialization and human activities had caused contamination of the environment by heavy metals emitted into the atmosphere of Yazd.

scholarly journals Characteristic Volatile Fingerprints and Odor Activity Values in Different Citrus-Tea by HS-GC-IMS and HS-SPME-GC-MS

Molecules ◽  
2020 ◽  
Vol 25 (24) ◽  
pp. 6027
Author(s):  
Heting Qi ◽  
Shenghua Ding ◽  
Zhaoping Pan ◽  
Xiang Li ◽  
Fuhua Fu
Keyword(s):  
Gas Chromatography ◽  
Comprehensive Evaluation ◽  
Solid Phase ◽  
Pearson Correlation ◽  
Effective Means ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Rapid Identification ◽  
Gas Chromatography Mass Spectrometry ◽  
Potential Health

Citrus tea is an emerging tea drink produced from tea and the pericarp of citrus, which consumers have increasingly favored due to its potential health effects and unique flavor. This study aimed to simultaneously combine the characteristic volatile fingerprints with the odor activity values (OAVs) of different citrus teas for the first time by headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) and headspace solid-phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS). Results showed that the establishment of a citrus tea flavor fingerprint based on HS-GC-IMS data can provide an effective means for the rapid identification and traceability of different citrus varieties. Moreover, 68 volatile compounds (OAV > 1) were identified by HS-SPME-GC-MS, which reflected the contribution of aroma compounds to the characteristic flavor of samples. Amongst them, the contribution of linalool with sweet flower fragrance was the highest. Odorants such as decanal, β-lonone, β-ionone, β-myrcene and D-limonene also contributed significantly to all samples. According to principal component analysis, the samples from different citrus teas were significantly separated. Visualization analysis based on Pearson correlation coefficients suggested that the correlation between key compounds was clarified. A comprehensive evaluation of the aroma of citrus tea will guide citrus tea flavor quality control and mass production.

Psychometric Evaluation of the Organizational Job Satisfaction Scale

1997 ◽  
Vol 5 (1) ◽  
pp. 53-69 ◽  
Author(s):  
Maranah A. Sauter ◽  
Diane Boyle ◽  
Debra Wallace ◽  
Janet L. Andrews ◽  
Marjorie S. Johnson ◽  
...  
Keyword(s):  
Job Satisfaction ◽  
Pearson Correlation ◽  
Strong Support ◽  
Correlation Coefficients ◽  
Psychometric Evaluation ◽  
Principal Component ◽  
Principal Component Factor Analysis ◽  
Satisfaction Scale ◽  
Four Dimensions ◽  
Scale Scores

Findings are reported from a replicated evaluation of the psychometric properties of the Organizational Job Satisfaction Scale. Data lend strong support for the scale which assesses four dimensions of organizational job satisfaction. Principal component factor analysis of data from two independent samples of urban staff registered nurses (RNs) (n - 496; n = 532) confirmed four dimensions of pay, interaction, administration, and status. Cronbach’s alpha for subscales ranged from .76 to .88. Pearson correlation coefficients for the interrelationships among subscales and an estimate of theta verified internal consistency. The Organizational Job Satisfaction Scale scores correlated significantly with a criterion measure of job enjoyment. Hypothesis testing of theoretically predictable relationships supported construct validity. Scores on the organizational job satisfaction subscales correlated significantly with automony, stress, and commitment. Item revisions and recommendations for future use of the instrument are discussed.

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