Development of Web Based Analysis Tool for Augmented Randomized Complete Block Design (ARCBD)

2020 ◽  
Vol 36 (2) ◽  
pp. 28-32
Author(s):  
Vinay Kumar ◽  
Sarita Rani ◽  
Ram Niwas ◽  
O.P. Sheoran ◽  
Komal Malik
Keyword(s):  
Field Experiments ◽  
Block Design ◽  
Analysis Tool ◽  
Web Based ◽  
Randomized Complete Block Design ◽  
Complete Procedure ◽  
Scripting Language ◽  
Test Treatments ◽  
Mean Differences ◽  
User Friendly

In biological and field experiments, the Augmented Randomized Complete Block Design (ARCBD) is widely used for screening and selection of a large number of germplasm lines/varieties/entries/test treatments with non replicated test treatments and replicated control treatments to estimate the experimental error. A web based online module for analysis of ARCBD was developed using scripting language Active Server Pages (ASP) based on server client architecture. The data have been taken from Federer (1956) and output compared accordingly. The outputs produced by the module are in agreement with the output generated from SAS package. An attempt was made to provide a user friendly interface for entering/pasting the data, characters names, number of observations and number of characters for analysis of augmented randomized complete block design. The module produces different output tables such as check x block table, block effects, control means and control effects, adjusted mean for test genotypes and genotypic effects. It also computes sum of squares in the analysis of variance tables after ignoring/eliminating treatment and eliminating/ignoring blocks for block and treatment effects, respectively. Critical difference table for comparing different mean differences at 5% and 1% level of significance is also given. A complete procedure is also provided in the help file to make a user friendly interface for analysis of the design.

scholarly journals Development of a web-based tool for probit analysis to compute LC50/LD50/GR50 for its use in toxicology studies

2020 ◽  
Vol 12 (4) ◽  
pp. 641-646
Author(s):  
Vinay Kumar ◽  
O.P. Sheoran ◽  
Sarita Rani ◽  
Komal Malik
Keyword(s):  
Lethal Dose ◽  
Probit Analysis ◽  
Analysis Tool ◽  
Chi Square ◽  
Web Based ◽  
Test Species ◽  
Toxicological Effects ◽  
Statistical Analysis Tool ◽  
Complete Procedure ◽  
Scripting Language

The toxicity bioassays are essential to detect and estimate the potential toxicological effects of chemicals on an organism. LC50/LD50/GR50 is the estimation of dose/concentration necessary to kill 50 per cent of a population of the test species. Experimentally this is done by administrating a chemical at different doses to a group of organism and then observing the resulting mortalities in a set of the time period. A web-based module for a statistical analysis tool to calculate and compare the median lethal dose has been developed in ASP scripting language based on Server-Client Architecture. The module produces the final probit line, dose-response curve, LC50/LD50 with 95 % confidence interval. The Chi-square statistic has been obtained for testing the adequacy of fit. A user-friendly interface for entering/pasting the data and various parameters such as number of variables, number of observations etc. has also been provided. Additionally, a complete procedure to perform probit analysis has also been provided in the help file.

scholarly journals Principal Component Analysis - Online Statistical Analysis Tool

2020 ◽  
Vol 9 (3) ◽  
pp. 3050-3054
Keyword(s):  
Correlation Matrix ◽  
Principal Component ◽  
Descriptive Statistics ◽  
Analysis Tool ◽  
Online Module ◽  
Statistical Analysis Tool ◽  
Complete Procedure ◽  
Scripting Language ◽  
User Friendly ◽  
Selection Of

An online module to deal with PCA has been developed in ASP scripting language based on Server-Client Architecture. The module produces descriptive statistics via subprogram Descriptive Stats, computes eigenvalues and eigenvector using MxEigen Jacobisub-program, order eigenvector through MxEigsrtsub-program and finally produces eigenvalues, eigenvectors, output loadings and components scores through Output Eigenval, Output Loadings, Output Scoressub-programs. A user friendly interface has been developed for entering or pasting the data, entering various parameters such as number of variables, number of observations and selection of covariance/correlation matrix. A complete procedure for how to perform principal component has also been provided in help file.

scholarly journals Effect of spacing and fertilizer management on the yield and yield attributes of mukhikachu (Colocasia esculenta Schott.)

2016 ◽  
Vol 41 (4) ◽  
pp. 713-723
Author(s):  
S Akther ◽  
F Ahmed ◽  
MR Islam ◽  
MA Hossen ◽  
AHMM Rahman Talukder
Keyword(s):  
Field Experiments ◽  
Block Design ◽  
Recommended Dose ◽  
Cost Ratio ◽  
Plant Spacing ◽  
Yield Attributes ◽  
Benefit Cost Ratio ◽  
Maximum Benefit ◽  
Randomized Complete Block Design ◽  
Benefit Cost

Field experiments were carried out in the Agronomy field of BARI, Joydebpur, RARS, Jamalpur and RARS, Ishurdi during two consecutive kharif seasons of 2012 and 2013 to determine the suitable plant spacing and optimum fertilizer dose for higher yield of mukhikachu. Three levels of spacing viz., 60 cm x 60 cm, 60 cm x 45 cm and 60 cm x 30 cm and three levels of fertilizer dose viz., recommended dose (3000-96-27-81-18 kg ha-1 of CD-N-P-K-S), 25% less than the recommended dose and 25% higher than the recommended dose were used as treatment variables. The experiments were laid out in factorial randomized complete block design with three replications. Results revealed that the closer spacing (60 cm x 30 cm) in combination with 25% higher than the recommended fertilizer dose gave the maximum edible yield of mukhikachu (two years average) at all locations (20.04 t ha-1, 20.75 t ha-1 and 16.63 t ha-1 at Joydebpur, Jamalpur and Ishurdi, respectively). The wider spacing (60 cm x 60 cm) coupled with 25% less than the recommended fertilizer dose produced the lowest yield (two years average). The maximum benefit- cost ratio (two years average) was obtained from the combination of the recommended fertilizer dose and 60 cm x 30 cm spacing, that were 2.93 at Joydebpur and 3.42 at Ishurdi, while at Jamalpur the maximum benefit-cost ratio (two years average) was found maximum from 60 cm x 30 cm spacing with 25% higher than the recommended fertilizer dose (3.12).Bangladesh J. Agril. Res. 41(4): 713-723, December 2016

scholarly journals PERKECAMBAHAN UREDOSPORA HEMILEIA VASTATRIX PADA EKSTRAK RIMPANG JAHE DAN KUNYIT SERTA DAUN CENGKEH DAN SIRIH

2006 ◽  
Vol 6 (1) ◽  
pp. 52-58
Author(s):  
Cipta Ginting
Keyword(s):  
Block Design ◽  
Water Extract ◽  
Piper Betle ◽  
Distilled Water ◽  
Control Methods ◽  
Hemileia Vastatrix ◽  
Coffee Leaf Rust ◽  
Randomized Complete Block Design ◽  
Test Treatments ◽  
Germ Tubes

Germination of Hemileia vastatrix uredospores on crude water extracts of zinger and turmeric rhizome and clove and Piper betle leaves.  Coffee leaf rust caused by H. vastatrix especially on Arabica coffee is one of most important diseases in coffee and conventional control methods of leaf coffee rust is still unsatisfactory.  The objective of this study was to determine the effect of crude water extract on the germination of H. vastatrix uredospores.  The study was conducted from January to September 2004 in the Laboratory of Plant Pathology at Unila.  In each test, treatments were arranged in a randomized complete block design with four replications.  Crude water extract was prepared by homogenizing 100 g of material in 100 ml sterilized distilled water.  After being passed through four layers of sterilized cheesecloth, the mixture was defined as the aliquot (100% extract) and dilutions were made with sterile distilled water to obtain concentrations of 2.5 to 10%.  Each of four materials (zinger, turmeric, clove, and Piper betle) was tested separately in five aliquot concentration levels.  One ml of each extract was mixed with 0.25 ml of uredospora suspension (4 x 105 per ml), and 0.2 ml of the mixture was incubated.  The variable was germinated uredospora (%) that was determined under a mikroscope.  The results show that significant reduction in spore germination occurred by  turmeric, clove, and P. betle extracts at > 2.5% and by zinger extract at > 5%.  Some uredospora exposed to plant extract germinated abnormally:  germ tubes shorten, swollen, or malform.

scholarly journals Length of Efficacy for Control of Curly Top in Sugar Beet With Seed and Foliar Insecticides

Plant Disease ◽  
2016 ◽  
Vol 100 (7) ◽  
pp. 1364-1370 ◽  
Author(s):  
Carl A. Strausbaugh ◽  
Erik J. Wenninger ◽  
Imad A. Eujayl
Keyword(s):  
Sugar Beet ◽  
Host Resistance ◽  
Seed Treatment ◽  
Field Experiments ◽  
Block Design ◽  
Root Yield ◽  
Pyrethroid Insecticides ◽  
Beet Curly Top Virus ◽  
Randomized Complete Block Design ◽  
Untreated Check

Curly top in sugar beet caused by Beet curly top virus (BCTV) is an important yield-limiting disease that can be reduced via neonicotinoid and pyrethroid insecticides. The length of efficacy of these insecticides is poorly understood; therefore, field experiments were conducted with the seed treatment Poncho Beta (clothianidin at 60 g a.i. + beta-cyfluthrin at 8 g a.i. per 100,000 seed) and foliar treatment Asana (esfenvalerate at 55.48 g a.i./ha). A series of four experiments at different locations in the same field were conducted in 2014 and repeated in a neighboring field in 2015, with four treatments (untreated check, Poncho Beta, Asana, and Poncho Beta + Asana) which were arranged in a randomized complete block design with eight replications. To evaluate efficacy, viruliferous (contain BCTV strains) beet leafhoppers were released 8, 9, 10, or 11weeks after planting for each experiment, which corresponded to 1, 2, 3, and 4 weeks after Asana application. Over both years, in 30 of 32 observation dates for treatments with Poncho Beta and 14 of 16 observation dates for Asana, visual curly top ratings decreased an average of 41 and 24%, respectively, with insecticide treatments compared with the untreated check. Over both years, in eight of eight experiments for treatments with Poncho Beta and six of eight experiments for Asana, root yields increased an average of 39 and 32%, respectively, with treatment compared with the untreated check. Over both years, the Poncho Beta treatments increased estimated recoverable sucrose (ERS) yield by 75% compared with the untreated check for weeks 8 and 9. By week 10, only the Poncho Beta + Asana treatment led to increases in ERS in both years, while the influence of increasing host resistance may have made other treatments more difficult to separate. When considering curly top symptoms, root yield, and ERS among all weeks and years, there was a tendency for the insecticides in the Poncho Beta + Asana treatment to complement each other to improve efficacy.

The randomized complete block design.

2021 ◽  
pp. 177-191
Author(s):  
Edward F. Durner
Keyword(s):  
Field Experiments ◽  
Block Design ◽  
Potential Gradient ◽  
Single Treatment ◽  
Randomized Complete Block Design

Abstract This chapter focuses on randomized complete block design (RCBD). The RCBD can be simple, holding several levels of a single treatment, or complex, holding a complicated factorial. Field experiments may be blocked due to an observed or potential gradient in the field where the experiment will be performed. The yield of four lettuce cultivars was used as an example.

scholarly journals B-COURSE: A WEB-BASED TOOL FOR BAYESIAN AND CAUSAL DATA ANALYSIS

2002 ◽  
Vol 11 (03) ◽  
pp. 369-387 ◽  
Author(s):  
PETRI MYLLYMÄKI ◽  
TOMI SILANDER ◽  
HENRY TIRRI ◽  
PEKKA URONEN
Keyword(s):  
Data Analysis ◽  
Bayesian Network ◽  
Network Models ◽  
Causal Modeling ◽  
Analysis Tool ◽  
Support Material ◽  
Online Data ◽  
Web Based ◽  
User Friendly ◽  
Bayesian Network Models

B-Course is a free web-based online data analysis tool, which allows the users to analyze their data for multivariate probabilistic dependencies. These dependencies are represented as Bayesian network models. In addition to this, B-Course also offers facilities for inferring certain type of causal dependencies from the data. The software uses a novel "tutorial stylerdquo; user-friendly interface which intertwines the steps in the data analysis with support material that gives an informal introduction to the Bayesian approach adopted. Although the analysis methods, modeling assumptions and restrictions are totally transparent to the user, this transparency is not achieved at the expense of analysis power: with the restrictions stated in the support material, B-Course is a powerful analysis tool exploiting several theoretically elaborate results developed recently in the fields of Bayesian and causal modeling. B-Course can be used with most web-browsers (even Lynx), and the facilities include features such as automatic missing data handling and discretization, a flexible graphical interface for probabilistic inference on the constructed Bayesian network models (for Java enabled browsers), automatic prettyHyphen;printed layout for the networks, exportation of the models, and analysis of the importance of the derived dependencies. In this paper we discuss both the theoretical design principles underlying the B-Course tool, and the pragmatic methods adopted in the implementation of the software.

scholarly journals Integrated effects of vermicompost with chemical fertilizers on the yield of mustard

2020 ◽  
Vol 31 (2) ◽  
pp. 81-88
Author(s):  
MA Haque ◽  
MM Ali
Keyword(s):  
Field Experiments ◽  
Block Design ◽  
Chemical Fertilizer ◽  
Chemical Fertilizers ◽  
Brassica Napus L ◽  
Yield Attributes ◽  
Cropping Season ◽  
Native Soil ◽  
Randomized Complete Block Design ◽  
Agroecological Zones

Field experiments were conducted in three Agroecological zones (AEZ) at Farmer’s field, Rangpur (AEZ-3), Farmer’s field, Ishurdi (AEZ-11) and BINA farm, Mymensingh (AEZ-9) to investigate the integrated effect of vermicompost and chemical fertilizers (CF) on Mustard (Brassica napus L.) during 2017-18 cropping season to reduce the usage of chemical fertilizer for mustard cultivation. The experiments were carried out with eight treatments and three replications in Randomized Complete Block Design. The treatments for the crops used in the experiments were T1: Native soil fertility, T2:100% chemical fertilizer (CF),T3: 75% CF, T4: 75% CF + Vermicompost (VC) @ 4 t ha-1, T5:85% CF ,T6: 85% CF + VC @ 4 t ha-1 T7: 75% CF +VC @ 2 t ha-1­­­­ and T8: 85% CF+VC @ 2 tha-1. Fertilizers applied on the basis of soil test (STB). Application of vermicompost with chemical fertilizer increased the yield attributes and yields of mustard. The treatment T6 (85% CF + VC @ 4 tha-1) gave the tallest plant height, greatest number of pods plant-1 and siliqua pod-1 and maximum seed (1.82, 1.26 and 1.49 t ha-1 at Rangpur, Ishurdi and Mymensingh, respectively) and straw yields of mustard at all the location with the few exception. But the treatment T6 gave the identical results with the treatments T8, T4 and T2. Application of vermicompost also increased the N, P and K uptakes of mustard at all the location. The treatments T6 T8 and T4 gave statistically identical nutrients uptakes to the treatment T2 (100%CF). The results revealed that 75% CF with 4 t ha-1 vermicompost or 85% CF with 2 t ha-1 vermicompost almost equally effective to produce seed yield of mustard which was also comparable with the full dose (100%) of chemical fertilizers (NPKS) in all the location. Therefore 15-25% chemical fertilizer (NPKS) could be reduced either with the application of 75% CF with 4 t ha-1 vermicompost or 85% CF with 2 t ha-1 vermicompost for mustard cultivation. Progressive Agriculture 31 (2): 81-88, 2020

scholarly journals SOURGRASS INTERFERENCE ON SOYBEAN GROWN IN BRAZILIAN CERRADO

2021 ◽  
Vol 34 (2) ◽  
pp. 350-358
Author(s):  
GUILHERME BRAGA PEREIRA BRAZ ◽  
ALINE GUIMARÃES CRUVINEL ◽  
ALAN BRUNO CANEPPELE ◽  
HUDSON KAGUEYAMA TAKANO ◽  
ALESSANDRO GUERRA DA SILVA ◽  
...  
Keyword(s):  
Plant Growth ◽  
Growth Stage ◽  
Field Experiments ◽  
Production Systems ◽  
Block Design ◽  
Brazilian Cerrado ◽  
Yield Losses ◽  
Soybean Yield ◽  
The Third ◽  
Randomized Complete Block Design

ABSTRACT Sourgrass (Digitaria insularis) is one of the main species causing significant losses in Brazilian soybean production systems. Thus, this paper aimed to evaluate sourgrass interference on soybeans grown under Cerrado conditions. Three field experiments were conducted, of which the first two (E1 and E2) simulated sourgrass after pre-sowing burndown, using plants already emerged by the time soybeans were sown; whereas the third (E3) simulated both sourgrass and soybeans emerged simultaneously. Both E1 and E2 were conducted in a randomized complete block design (RCBD) with five treatments based on sourgrass infestation densities (0, 2, 4, 6, and 8 plants m-2) and four replications. In turn, E3 was also carried out in an RCBD but with treatments arranged in a 2 x 5 factorial and four replications. The first factor comprised two soybean cultivars, while the second was sourgrass density levels, just as in E1 and E2. The results showed that increasing sourgrass densities reduced soybean yield regardless of the plant growth stage when the crop was sown. Yield losses were higher when sourgrass plants were already established by the time soybean was sown. Soybean yield losses reached up to 80% under higher sourgrass infestation levels.

scholarly journals Effects of Intra-Row Spacing of Sesame (Sesamum indicum L.) and Frequency of Weeding on Yields of Maize-Sesame Intercrop in Makurdi, Nigeria

2015 ◽  
Vol 38 ◽  
pp. 16-26
Author(s):  
Michael Ojore Ijoyah ◽  
J.A. Idoko ◽  
T. Iorlamen
Keyword(s):  
Field Experiments ◽  
Block Design ◽  
Sesamum Indicum ◽  
Factorial Experiment ◽  
Row Spacing ◽  
Competitive Pressure ◽  
Optimal Frequency ◽  
Land Equivalent Ratio ◽  
Randomized Complete Block Design ◽  
Cropping Seasons

Field experiments were conducted from July to October, during 2012 and 2013 cropping seasons, at the Research Farm, University of Agriculture, Makurdi, Nigeria, to evaluate the effects of intra-row spacing of sesame and frequency of weeding on yields of maize-sesame intercrop. The trial was a 3 x 3 factorial experiment fitted in a randomized complete block design with four replications. Nine of the treatments consisted of intercropped maize with sesame sown at the intra-row spacing of 10 cm, 15 cm and 20 cm, and at the varied weeding frequencies: maize-sesame intercrop sown on plots weeded once (1x) at 3 weeks after planting (WAP); maize-sesame intercrop sown on plots weeded twice (2x) at 3 and 6 WAP; maize-sesame intercrop sown on plots not weeded (NW). Sole sesame and sole maize respectively sown at their recommended intra-row spacing of 10 cm and 30 cm and at their recommended frequency of weeding (2x at 3 and 6 WAP) constituted the tenth and eleventh treatments, which also served as control plots. The results obtained showed that in a maize-sesame intercrop, increasing intra-row spacing of sesame up to 20 cm, on plots weeded 2x at 3 and 6 WAP, significantly (P≤0.05) produced the highest intercrop yields of maize and sesame. This level of treatment not only recorded the lowest competitive pressure, but gave the highest total intercrop yields, highest land equivalent coefficient values (1.01 and 1.13 respectively, in years 2012 and 2013), indicating the highest yield advantage, and highest land equivalent ratio (LER) values of 2.11 and 2.25 respectively recorded for years 2012 and 2013. With these LER values, 52.6 % and 55.6 % of land were respectively saved in years 2012 and 2013, which could be used for other agricultural purposes. The implication of study showed that, to maximize intercrop yields of maize and sesame in a maize-sesame intercrop, the appropriate intra-row spacing for sesame is 20 cm, while the optimal frequency of weeding is 2x at 3 and 6 WAP. This should therefore, be recommended for Makurdi location, Nigeria.

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