Principal Component Analysis Based Polynomial Chaos Expansion Regression of Leaf Area Index from Polsar Imagery

2021 ◽  
Author(s):  
Mehmet Furkan Celik ◽  
Esra Erten
Keyword(s):  
Principal Component Analysis ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Polynomial Chaos ◽  
Principal Component ◽  
Component Analysis ◽  
Polynomial Chaos Expansion ◽  
Chaos Expansion ◽  
Area Index

scholarly journals Phenological patterns of defoliation and refoliation processes of rubber tree clones in the Colombian northwest

2020 ◽  
Vol 73 (3) ◽  
pp. 9293-9303
Author(s):  
Juan José Guerra-Hincapié ◽  
Óscar De Jesús Córdoba-Gaona ◽  
Juan Pablo Gil-Restrepo ◽  
Danilo Augusto Monsalve-García ◽  
Juan David Hernández-Arredondo ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Management Strategies ◽  
Rubber Tree ◽  
Principal Component ◽  
Canopy Openness ◽  
Area Index ◽  
The Relationship ◽  
Climatic Characteristic

The knowledge of the defoliation-refoliation process in rubber cultivation allows the development of management strategies in the production system to improve rubber yield. The objective of this study was to determine the intensity and duration of defoliation-refoliation of rubber clones FX 3864, IAN 710 and IAN 873 in the municipality of Tarazá and the FX 3864 and IAN 873 clones in the municipality of Nechí (northwestern Colombia). From October 2015 to June 2016, the measurements of the necromass were carried out in each location for each clone. The light environment was quantified, employing the hemispheric photographs technique to estimate canopy openness percentage (CO) and leaf area index. The assessed weeks were grouped by Principal Component Analysis (PCA) based on the original phenology and climatic variables. The defoliation-refoliation process was analyzed descriptively using graphical representations of the trend for the phenological variables that best described this process. The relationship between climatic and phenological variables in the period evaluated was evidenced; the rainfall was the most critical climatic characteristic in the induction of the defoliation process. The leaf area index was reduced to a minimum value in February, with values of 0.52 for IAN 710 clone in Tarazá, and 0.64 for the IAN 873 clone in Nechí, which corresponded to the highest defoliation stage in both locations. The refoliation period was short (4 to 6 weeks) and occurred during the dry season for all the clones in both places.

scholarly journals Genetic evaluation of farmer's rice varieties for physiological and yield attributing responses exploiting principal component analysis

2021 ◽  
Vol 58 (3) ◽  
pp. 384-393
Author(s):  
Nivesh Khoth ◽  
Sanjay Singh ◽  
R Shiv Ramakrishnan ◽  
GK Koutu ◽  
Radheshyam Sharma ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Leaf Area ◽  
Principal Component ◽  
Component Analysis ◽  
High Yield ◽  
Biochemical Traits ◽  
Rice Varieties ◽  
Area Index ◽  
Yield Attributes ◽  
Genetic Components

An experiment was conducted on 30 farmer's rice varieties collected from different districts of Madhya Pradesh to identify the genetic components contributing to phenophasic development, physiological, yield attributes and biochemical traits. Principal component analysis was performed to rank the farmer's varieties based on PC scores acquired as per the trait studied. Out of twenty-six traits, only five principal components (PCs) exhibited more than 1.00 Eigen value and showed 85.80% of total cumulative variability. The PC1 showed 58.55%, while PC 2, PC 3, PC 4 and PC 5, exhibited 10.29%, 7.03%, 5.23% and 4.69% variability, respectively. The PC 1 reported the highest variability, which was associated with physiological and yield related traits. The PC 2 was dominated by biochemical traits, while PC3 was mostly dominated for yield traits. The PC 4 was dominated by physiological traits, and PC5 for phenological and yield-related traits. Farmer's variety Pandu was superior for Chlorophyll content index (38.27), total dry matter production (38.15 g plant-1), Leaf area index (4.09), Leaf area duration (17982 cm2 days) and crop growth rate (0.00282 g m-2 day-1). PCA revealed that genotype Pandu (7.224) acquired highest PC score followed by Raibua (5.364), Bahurupi (5.103) and Chinnor 1 (4.750) respectively. Farmers varieties Pandu, Chhindikapoor, Bahurupi, Sitha Chandan, Chinnor 2, Chinnor 1 and ChhotaSathiya were contributed their presence in maximum PCs of this investigation. The identified lines will be utilized in the rice breeding programme to develop improved rice varieties for high yield and maximum physiological efficiency.

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

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 333-342 ◽  
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 Cronbach’s 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. Cronbach’s 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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