scholarly journals Diagnosis and Recommendation Integrated System (DRIS) Norms for Identifying Yield Limiting Nutrients in Byadgi Chilli Fruits Grown in Northern Transitional Zone and Dry Zones of Karnataka (India)

Author(s):  
M. Pushpalatha ◽  
B. I. Bidari ◽  
M. Hebbara ◽  
G. B. Shashidar ◽  
B. Savita ◽  
...  

Fruit samples collected from different part of northern Karnataka districts of Dharwad, Gadag and Haveri, when peak fruit harvesting stage were collected the samples, were processed and analysed for various nutrients and thus, the data bank was established. By using Diagnosis and Recommendation Integrated System (DRIS), nutrient expressions, which have shown higher variance and lower coefficient of variation, were selected as norms viz, N/P(4.98), N/K (0.73), N/Ca (1.17), N/Mg (4.65), S/N(0.10), N/Fe(0.02), N/Zn(0.08) etc. In addition, five nutrient ranges have been derived using mean and standard deviation as low, deficient, optimum, high and excess for each nutrient to serve as a guide for diagnostic purpose. The optimum N ranged from 2.30 to 2.84%, P from 0.48 to 0.56%, K from 3.16 to 3.44%, Ca from 2.08 to 2.74%, Mg from 0.60 to 0.88% and S from 0.24 to 0.27%. Among the micronutrients, the optimum Zn ranged from 28.71 to 29.78 ppm, Fe from 113.60 to 150.03 ppm for byadgi chilli crop.

HortScience ◽  
1994 ◽  
Vol 29 (12) ◽  
pp. 1501-1504 ◽  
Author(s):  
Jordan O'N Caldwell ◽  
Malcolm E. Sumner ◽  
Charles S. Vavrina

The Diagnosis and Recommendation Integrated System (DRIS) was developed to incorporate the importance of nutrient balance into plant analysis. Yield and plant analysis data from five fertilizer trials conducted in the field during 2 years, using `Granex 33' onions (Allium cepa L.), were entered into a data bank. The trials consisting of a N4 × P4 × K4 × S4, a N4 × P4 × K4 × plant density4, two N4 × P4 × K4, and a 4N × 6S factorial were conducted on sandy Ultisols in Georgia. Significant yield responses resulted from the addition of P and N. Leaf samples were analyzed for N, P, K, S, Ca, Mg, Mn, Zn, Cu, and B. Nutrient data were expressed in ratio form, and the population with yields >45 Mg·ha–1 were used to calculate the DRIS norms. The proposed norms for N, P, K, Mg, and Cu were tested using published data from independently conducted field and greenhouse studies. By accurately diagnosing the most limiting nutrients, these norms successfully predicted yield responses to treatment. Preliminary norms for S, Ca, Mn, Zn, and B were determined but not tested.


2017 ◽  
Vol 47 (11) ◽  
Author(s):  
Marcos André Braz Vaz ◽  
Paulo Santana Pacheco ◽  
Enio Júnior Seidel ◽  
Angela Pellegrin Ansuj

ABSTRACT: This research was conducted to propose a classification of the coefficient of variation (CV%) in many categories of variables of production and carcass of beef cattle experiments. The data was collected from theses and dissertations. We used the methods of classification considering mean and standard deviation, and considering median and pseudo-sigma. The two methods showed similar results so both can be used to classify CV%. We propose only three categories to rank CV%: low, medium and high.


1988 ◽  
Vol 10 ◽  
pp. 92-94 ◽  
Author(s):  
Manfred A. Lange

An integrated system for ice-fabric analysis on a Rigsby stage is described. The system consists of a regular Rigsby stage fitted with two opto-electronic sensors for assessment of azimuth and the tilt angle of each individual grain. Signals from the sensors are transmitted to a computer terminal via an interface box, which facilitates transformation of Gray-coded data to ASCII data records. The terminal is hooked up to a main-frame computer (VAX 750), where the digitized angles of the c-axis orientations of individual thin sections are stored in separate data files. These files are compatible with other already existing files containing additional ice-core data and thus become part of an extensive data bank. Appropriate software has been developed to produce, among other things, plots of c-axis orientations in a Schmidt net.


2014 ◽  
Vol 10 (4) ◽  
pp. 32-48 ◽  
Author(s):  
Bruce A. Reinig ◽  
Roberto J. Mejias

Participation equality is often a key process construct in research models that examine the effects of group support systems (GSS) technology and e-collaboration. GSS are generally thought to reduce the dispersion of participation among team members and thus make participation more equally distributed. However, research conclusions in the literature regarding participation equality are not always consistent with this finding. Researchers have used a variety of approaches to operationalize participation equality including unit-based measures, such as the standard deviation, and dimensionless measures such as the Gini coefficient and the coefficient of variation. Researchers have also varied in their measurement of participation units with some counting phenomena such as comments, words, or remarks. The authors report on an exploratory study that demonstrates conditions in which research conclusions regarding the participation equality construct are dependent on both the participation unit analyzed and whether a unit-based or dimensionless measure is used to compute participation equality. The authors conclude with recommendations for researchers investigating participation equality and practitioners that seek to measure and track participation equality in their collaborative work practices.


1980 ◽  
Vol 34 (1) ◽  
pp. 21-40
Author(s):  
Daniel Cremont

During the past ten years, the Institut Géographique National, France (IGN-F), has gained useful experience in the fields of large-scale digitized mapping and data bank management. This paper presents a land information system that would be suitable for developed countries where the updating and matching of topographic and cadastral maps are planned within the framework of an integrated system, as well as for those countries where large-scale maps are not available but the level of development justifies the investment. One simple, flexible system should be established, sophisticated equipment should be avoided, and the data processing limited to reasonable applications. Detailed descriptions of data collecting with stereoplotters and digitizing tables as well as data processing are given. Original methods for processing data for the production of cadastral maps are also presented.


2014 ◽  
Vol 52 (2) ◽  
pp. 296-312 ◽  
Author(s):  
Xiaofeng Zhao ◽  
Jianrong Hou ◽  
Kenneth Gilbert

Purpose – Waiting lines and delays have become commonplace in service operations. As a result, customer waiting time guarantee is a widely used competition strategy in service industries. To implement waiting time guarantee strategy, managers need to not only know the average of waiting time, but also the variance around average waiting time. This paper aims to discuss these issues. Design/methodology/approach – This research provides a mathematically exact expression for the coefficient of variation of waiting time for Markov queues. It then applies the concept of isomorphism to approximate the variance of customer waiting time in a general queue. Simulation experiments are conducted to verify the accurate approximations. Findings – A significant feature of the approximation method is that it is mathematically tractable and can be implemented in a spreadsheet format. It provides a practical way to estimate the variance of customer waiting time in practice. The results demonstrate the usefulness of the queuing models in providing guidance on implementing appointment scheduling and waiting time guarantee strategy. Also, the spreadsheet can be used to conduct what-if analysis by inputting different parameters. Originality/value – This paper develops a simple, easy-to-use spreadsheet model to estimate the standard deviation of waiting time. The approximation requires only the mean and standard deviation or the coefficient of variation of the inter-arrival and service time distributions, and the number of servers. A spreadsheet model is specifically designed to analyze the variance of waiting time.


1977 ◽  
Vol 60 (3) ◽  
pp. 716-719
Author(s):  
Arthur H Hofberg ◽  
Lee C Heinrichs ◽  
V Michael Barringer ◽  
Maung Tin ◽  
Gene A Gentry

Abstract A gas-liquid chromatographic (GLC) method for determining fluometuron in a wettable powder formulation containing about 80% active ingredient was collaboratively studied using a matched pair scheme. The samples were dissolved in chloroform containing diethyl phthalate as an internal standard, derivatized with trifluoroacetic anhydride, and chromatographed on OV-3, using a flame ionization detector. Analyses of the 2 samples by 14 collaborators, using peak height measurements, showed the following results: 0.99% overall coefficient of variation, 1.08% coefficient of variation for the random error, and no evidence of systematic error. The validity of these results was verified by a concurrent collaborative effort using high pressure liquid chromatography. Analyses of the 2 samples by 8 collaborators, using peak height measurements, showed a 1.17 standard deviation of the total for liquid chromatography vs. 0.76 standard deviation of the total for GLC. The averages for Sample A and Sample B by liquid chromatography showed a relative difference of 0.19 and 0.00%, respectively, when compared with the results by the GLC method. The GLC method has been adopted as official first action.


2020 ◽  
pp. 112067212091481
Author(s):  
Salih Çolak ◽  
Burcu Kazanci ◽  
Dilek Ozçelik Soba ◽  
Yasemin Ozdamar Erol ◽  
Pelin Yilmazbas

Objective: The aim of this study is to investigate the effects of the HbA1c level and the duration of diabetes mellitus on the corneal endothelium morphology and to compare between healthy individuals and diabetes mellitus patients with non-proliferative diabetic retinopathy and proliferative diabetic retinopathy. Material and methods: Ninety patients who applied to the Health Sciences University Ulucanlar Eye Training and Research Hospital between January 2016 and January 2017 were included in this prospective randomized study. In the study, 45 diabetes mellitus patients and 45 healthy individuals were evaluated. The diabetes patients were compared in terms of HbA1c level, diabetes mellitus duration, corneal endothelial cell density, coefficient of variation, standard deviation, and hexagonality with healthy control group. Results: A statistically significant difference was found in the endothelial cell densitometer, coefficient of variation, and standard deviation measurements between the diabetes mellitus patients and the control (healthy) group. But, there was no statistically significant difference between 6A (hexagonality) and central corneal thickness measurements. There was a negative correlation between HbA1c levels and diabetes mellitus times and endothelial cell densitometer values in the patients with diabetes mellitus diagnosis and standard deviation values in the positive direction. There was a statistically significant difference between diabetes mellitus patients with the diagnosis of non-proliferative diabetic retinopathy and proliferative diabetic retinopathy in the endothelial cell densitometer and standard deviation values. But there was not any statistically significant difference between coefficient of variation, 6A, and central corneal thickness values. Conclusion: The endothelial cell densitometer in diabetes mellitus patients with retinopathy is lower than that in healthy individuals. There is a negative correlation between retinopathy severity and corneal endothelial cell density. Diabetes affects negatively not only vascular tissues but also avascular cornea.


Sign in / Sign up

Export Citation Format

Share Document