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Journal articles on the topic 'Randomized Complete Block Design'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Shieh, Gwowen, and Show-Li Jan. "The effectiveness of randomized complete block design." Statistica Neerlandica 58, no. 1 (2004): 111–24. http://dx.doi.org/10.1046/j.0039-0402.2003.00109.x.

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2

Basford, K. E., and G. J. McLachlan. "Cluster analysis in a randomized complete block design." Communications in Statistics - Theory and Methods 14, no. 2 (1985): 451–63. http://dx.doi.org/10.1080/03610928508828924.

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3

Kushwaha, Ujjawal Kumar Singh. "Characterization and Evaluation of Rice (Oryza sativa L.) Genotypes in Randomized Complete Block Design." Journal of Environmental Science and Allied Research 2, no. 1 (2019): 39–49. http://dx.doi.org/10.29199/2637-7063/esar-201020.

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4

Gezan, Salvador A., Dudley A. Huber, and Timothy L. White. "Post hoc blocking to improve heritability and precision of best linear unbiased genetic predictions." Canadian Journal of Forest Research 36, no. 9 (2006): 2141–47. http://dx.doi.org/10.1139/x06-112.

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Single-site clonal trials were simulated with a total of 256 clones "planted" in single-tree plots with three different environmental patterns: only patches (PATCH), only gradients (GRAD), and both components (ALL). Several simulated experimental designs were analyzed (a randomized complete block design; incomplete block designs with 4, 8, 16, and 32 incomplete blocks; and a row-column design) and compared with post hoc blocking of the same designs over a randomized complete block. Additionally, two more incomplete block designs (64 and 128 blocks) were superimposed after the fact to examine e

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5

Möttönen, J., J. Hüsler, and H. Oja. "Multivariate nonparametric tests in a randomized complete block design." Journal of Multivariate Analysis 85, no. 1 (2003): 106–29. http://dx.doi.org/10.1016/s0047-259x(02)00068-4.

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6

Kumar, Vinay, Sarita Rani, Ram Niwas, O. P. Sheoran, and Komal Malik. "Development of Web Based Analysis Tool for Augmented Randomized Complete Block Design (ARCBD)." Journal of Extension Systems 36, no. 2 (2020): 28–32. http://dx.doi.org/10.48165/jes.2020.36206.

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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

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7

Gezan, Salvador A., Timothy L. White, and Dudley A. Huber. "Comparison of Experimental Designs for Clonal Forestry Using Simulated Data." Forest Science 52, no. 1 (2006): 108–16. http://dx.doi.org/10.1093/forestscience/52.1.108.

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Abstract Various alternatives for the design of clonal field trials in forestry were studied using simulated data to identify “optimal𠇍 or “near-optimal𠇍 scenarios for the estimation of genetic parameters. The simulated field site consisted of a rectangular grid on which 256 clones with 8 ramets each were installed. Estimates of genetic parameters were compared for (1) single-tree and four-tree row plots; (2) several experimental designs (completely randomized, randomized complete block, incomplete blocks of various sizes, and row–column); (3) no mortality versus 257% mortality; and (4) differ

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8

Kashif, M., M. I. Khan, M. Arif, M. Anwer, and M. Ijaz. "Efficiency of Alpha Lattice Design in Rice Field Trials in Pakistan." Journal of Scientific Research 3, no. 1 (2010): 91. http://dx.doi.org/10.3329/jsr.v3i1.4773.

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Two rice trials were conducted from 2005 to 2006 in rice research institute, Kala Shah Kako Pakistan to evaluate the efficiency of alpha lattice design in field experiments. The average standard error of difference between genotypes mean is used to calculate relative efficiency of alpha lattice design. Both experiments clearly identified the advantages of small blocks. The average gain in efficiency was 119% with maximum 128%. Mean ranks comparison for both randomized complete block and alpha lattice design were performed. It was observed that the ranks were not constant across the experiments

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9

Sim, Sujin, and Dongjae Kim. "Nonparametric method using placement in a randomized complete block design." Journal of the Korean Data and Information Science Society 24, no. 6 (2013): 1401–8. http://dx.doi.org/10.7465/jkdi.2013.24.6.1401.

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10

Shah, Arvind K., and P. L. Claypool. "Analysis of binary data in the randomized complete block design." Communications in Statistics - Theory and Methods 14, no. 5 (1985): 1175–79. http://dx.doi.org/10.1080/03610928508828969.

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11

Adetola Sanuade, Oluseun, Joel Olayide Amosun, Kehinde David Oyeyemi, Tokunbo Sanmi Fagbemigun, and Jane Idowu Faloyo. "Statistical comparison of Schlumberger arrays using randomized complete block design." Journal of Physics: Conference Series 1299 (August 2019): 012066. http://dx.doi.org/10.1088/1742-6596/1299/1/012066.

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12

Esmailzadeh, Nabaz, and Reza Nikbakht. "Comparison of Variances Homogeneity Tests in Randomized Complete Block Design." Journal of Statistical Sciences 12, no. 2 (2019): 323–40. http://dx.doi.org/10.29252/jss.12.2.323.

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13

Gregory, Gavin G. "Cumulative Damage Survival Models for the Randomized Complete Block Design." Biometrical Journal 45, no. 2 (2003): 153–64. http://dx.doi.org/10.1002/bimj.200390002.

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14

Mahfoud, Ziyad R., and Ronald H. Randles. "Practical tests for randomized complete block designs." Journal of Multivariate Analysis 96, no. 1 (2005): 73–92. http://dx.doi.org/10.1016/j.jmva.2004.09.005.

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15

Sanders, Doug, Mary G. Leitnaker, and Robert A. McLean. "Randomized Complete Block Designs in Industrial Studies." Quality Engineering 14, no. 1 (2002): 1–8. http://dx.doi.org/10.1081/qen-100106880.

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16

Sirikasemsuk, Kittiwat. "Measure of overall regression sum of squares of symmetric randomized complete block design with a lost observation." International Journal of Engineering & Technology 7, no. 2.3 (2018): 50. http://dx.doi.org/10.14419/ijet.v7i2.3.9967.

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A randomized complete block design (RCBD) is useful for analyzing a treatment variable and one block variable under the condition where experimental units are limited. The RCBD is assumed that there is no interaction between the treatment variable and the block variable. This paper considered the symmetric randomized complete block design (SRCBD) with t treatments and t blocks, when a lost value occurs in the experiments. For the analysis of variance for the unbalanced data, the ready-made formulae were not provided in the past. The SRCBD with a lost value was analyzed by means of the fundamen

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17

Hassan, Alsuhabi, and Magel Rhonda. "Modified Nonparametric Tests for the Umbrella Alternative with Known Peak in a Mixed Design." Journal of Progressive Research in Mathematics 16, no. 1 (2020): 2845–60. https://doi.org/10.5281/zenodo.3974011.

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The Mack-Wolfe and Kim-Kim statistics are two of the most commonly used non-parametric tests for the umbrella alternative problem when the underlying designs follow a CRD or an RCBD, respectively. In this paper, modifications of the Mack-Wolfe and Kim-Kim test are proposed to developtest statistics for the umbrella alternative with known peak when the data are mixture of a randomized complete block and a completely randomized design. The two proposed test statistics are compared to each other and some other existing tests. Results are given.

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18

Gumpertz, M. L., and C. Brownie. "Repeated measures in randomized block and split-plot experiments." Canadian Journal of Forest Research 23, no. 4 (1993): 625–39. http://dx.doi.org/10.1139/x93-083.

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Randomized block and split-plot designs are among the most commonly used experimental designs in forest research. Measurements for plots in a block (or subplots in a whole plot) are correlated with each other, and these correlations must be taken into account when analyzing repeated-measures data from blocked designs. The analysis is similar to repeated-measures analysis for a completely randomized design, but test statistics must allow for random block × time effects, and standard errors for treatment means must also incorporate block to block variation and variation among plots within a bloc

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19

Sheoran, O. P., Vinay Kumar, and Rohit Kundu. "Estimating Missing values in Randomized Complete Block design using EM Algorithm." INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES 20, no. 01 (2024): 153. http://dx.doi.org/10.59467/ijass.2024.20.153.

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This research explores the application of the Expectation-Maximization (EM) algorithm to address missing data challenges in Randomized Complete Block Designs (RCBD). Traditional imputation methods often introduce biases, prompting the need for a robust solution. The EM algorithm, anchored in a mixed effects model, iteratively estimates missing values, demonstrating its efficacy in a practical RCBD scenario. Through 15 iterations, the algorithm converges to stable parameter estimates. Root Mean Square Error (RMSE) and bias calculations validate the accuracy of imputations. This study establishe

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20

Nishu, Lohmor, Khan Mujahid, Kapoor Kiran, and Kumar Tripathi Ramesh. "Studies on the Relative Efficiency of Different Experimental Designs for Sunflower (Helianthus annuus L.)." Annual Research & Review in Biology 12, no. 4 (2017): 1–7. https://doi.org/10.9734/ARRB/2017/31728.

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The best experimental design to use in any given condition is the one which estimates the desired effects and contrasts with maximum precision or efficiency. In uniformity trial data, the treatments being considered as dummy, the relative efficiencies of various experimental designs were determined using the yield data taken from the uniformly raised sunflower crop during February 2014 to June 2014 at CCSHAU research farm, Hisar. Randomized Block Design (RBD) was found to be more effective in reducing error variation over Completely Randomized Design (CRD). Latin Square Design (LSD) was found

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21

Gerami, A. "Incomplete factorial experiments in completely randomized and randomized complete block designs." Statistics & Probability Letters 78, no. 14 (2008): 2058–65. http://dx.doi.org/10.1016/j.spl.2008.01.075.

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22

Venugopalan, R., K. R. M. Swamy, and M. K. Chandraprakash. "Augmented BIB Design-An Alternative Statistical Design in Germplasm Evaluation Trials." Journal of Horticultural Sciences 3, no. 1 (2008): 84–88. http://dx.doi.org/10.24154/jhs.v3i1.607.

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Randomized Block Design (RBD) is commonly employed to evaluate a set of germplasm accessions (test treatments) along with local checks. In such a trial, if the test treatments under evaluation are more in number and the availability of the seeds is limited, then an alternate experimental design has to be employed. As a remedy, Balanced Incomplete Block Design (BIBD), which estimates treatments contrasts with more precision and the treatments are not repeated in all the blocks, unlike RBD, may be used. Such a constructed layout, not only saves the precious seed material of the test treatments,

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23

Kula, Kamile, and Ayşen Apaydin. "Estimation of the Randomized Complete Block Design Parameters with Fuzzy Goal Programming." Mathematical and Computational Applications 16, no. 3 (2011): 721–27. http://dx.doi.org/10.3390/mca16030721.

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24

BOYLE, CAROLYN R., and ROY D. MONTGOMERY. "An Application of the Augmented Randomized Complete Block Design to Poultry Research ,." Poultry Science 75, no. 5 (1996): 601–7. http://dx.doi.org/10.3382/ps.0750601.

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25

Giancristofaro, Rosa Arboretti, Livio Corain, and Susanna Ragazzi. "A Comparison among Combination-Based Permutation Statistics for Randomized Complete Block Design." Communications in Statistics - Simulation and Computation 41, no. 7 (2012): 964–79. http://dx.doi.org/10.1080/03610918.2012.625752.

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26

Alassane, Daibou, Alice dos Santos Ribeiro, José Ivo Ribeiro Júnior, Jaqueline Akemi S. Sediyama, and Belo Afonso Muetanene. "PERFORMANCE OF SIMPLE LINEAR REGRESSION ANALYSIS UNDER A RANDOMIZED COMPLETE BLOCK DESIGN." BRAZILIAN JOURNAL OF AGRICULTURE - Revista de Agricultura 98, no. 1 (2023): 52–67. http://dx.doi.org/10.37856/bja.v98i1.4329.

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In experiments conducted under a randomized complete block design, the fitting of the simple linear regression model can be performed under different combinations of the number of treatments and the number of replications. In order to determine the best combination, considering the same number of experimental units, it was concluded through a data simulation study that the quality of the fit increases when regression is performed in experiments with fewer treatments and more replications. Therefore, for model fitting, if linearity is expected, it is recommended to use two treatments. Otherwise

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27

Alassane, Daibou, Jaqueline Akemi Suzuki Sediyama, Alice Dos Santos Ribeiro, José Ivo Ribeiro Júnior, and Belo Afonso Muetanene. "PERFORMANCE OF MULTIPLE LINEAR REGRESSION ANALYSIS CONDUCTED UNDER RANDOMIZED COMPLETE BLOCK DESIGN." BRAZILIAN JOURNAL OF AGRICULTURE - Revista de Agricultura 98, no. 3 (2024): 186–95. http://dx.doi.org/10.37856/bja.v98i3.4334.

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In factorial experiments conducted under randomized block design, the multiple linear regression model fitting can be performed under different combinations of the quantitative levels of the two factors and the number of replications. To determine the best combination, considering the same number of levels per factor and the same number of experimental units, it was concluded through a simulated data study that the quality of the fit increases when regression is performed in experiments with fewer combinations of levels (treatments) and more replications. Therefore, if linearity is expected, u

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28

C. Eze, Francis. "Choice of Confounding in the 2k Factorial Design in 2b Blocks." Academic Journal of Applied Mathematical Sciences, no. 55 (May 15, 2019): 50–56. http://dx.doi.org/10.32861/ajams.55.50.56.

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In 2k complete factorial experiment, the experiment must be carried out in a completely randomized design. When the numbers of factors increase, the number of treatment combinations increase and it is not possible to accommodate all these treatment combinations in one homogeneous block. In this case, confounding in more than one incomplete block becomes necessary. In this paper, we considered the choice of confounding when k > 2. Our findings show that the choice of confounding depends on the number of factors, the number of blocks and their sizes. When two more interactions are to be confo

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29

Xu, Jianbo, Guogen Shan, Amei Amei, Jiwei Zhao, Daniel Young, and Sheila Clark. "A modified Friedman test for randomized complete block designs." Communications in Statistics - Simulation and Computation 46, no. 2 (2016): 1508–19. http://dx.doi.org/10.1080/03610918.2015.1006777.

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30

Safira, N., Nahrowi, D. Diapari, and M. Ridla. "Physical, chemical, and in vitro digestibility of complete feed block silage based on oil palm fronds." IOP Conference Series: Earth and Environmental Science 1359, no. 1 (2024): 012076. http://dx.doi.org/10.1088/1755-1315/1359/1/012076.

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Abstract Studies on complete feed block silage based on oil palm fronds (OPF) are limited. This study aimed to evaluate the physical and chemical qualities, as well as the in vitro digestibility, of complete feed block silage based on OPF for beef cattle. The study used a Randomized Block Design (RBD) involving three feed treatments with five replicates. The treatments included P0 = untreated complete feed based on OPF, P1 = P0 turned into silage, and P2 = P1 dried and formed into blocks. Physical characteristics and nutrient contents were analyzed descriptively. Digestibility data and pH valu

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31

Ambroży-Deręgowska, Katarzyna, and Iwona Mejza. "On a construction procedure for split-block-plot designs based on the Khatri–Rao product of incidence matrices." Biometrical Letters 59, no. 1 (2022): 55–63. http://dx.doi.org/10.2478/bile-2022-0005.

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Summary The construction of incomplete split-block-plot (SBP) designs for three-factor experiments is investigated. A semi-Kronecker (Khatri–Rao) product of matrices is used in the construction procedure. With this method some generated designs are obtained where column treatments and subplot treatments are allocated in balanced square lattice designs, while row treatments are in a randomized complete block design. Experiments with an orthogonal block structure are considered. In this paper we consider designs which are generally balanced. This allows us to give the stratum efficiency factors

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32

May, Myo Htun, Aung Sandar, Sin Nwe Thain, Lay Min Lay, and Myat Moe Myat. "Study on Yield Characteristics anf Yield of Chinese Rice (J,MP and Mini) and Breeding Ability of Sinthukha and Min." Dagon University Reasearch Journal Vol.8, no. 2018 (2019): Pg.405–418. https://doi.org/10.5281/zenodo.3561233.

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The purposes of this study were to investigate the effects MPKS (15-15-15-7) Armo and urea applications of yield Character and yield of Chinese rice <em>Oryzasativa</em> L. (J<sub>2</sub>= Nake No.1, J<sub>3</sub>=Jia You-1512, J<sub>5</sub>= J You ZhongKe No2, MP 54 Yu-Zhen-Xiang, MP-55-Hau-Hang-37 and Mini-Yinzhan).

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33

Azadeh, A., S. M. Asadzadeh, R. Jafari-Marandi, et al. "Optimum estimation of missing values in randomized complete block design by genetic algorithm." Knowledge-Based Systems 37 (January 2013): 37–47. http://dx.doi.org/10.1016/j.knosys.2012.06.014.

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34

Yu, Haiyan, Bing Han, Nicholas Rios, and Jianbin Chen. "Missing Data Imputation in Balanced Construction for Incomplete Block Designs." Mathematics 12, no. 21 (2024): 3419. http://dx.doi.org/10.3390/math12213419.

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Observational data with massive sample sizes are often distributed on many local machines. From an experimental design perspective, investigators often desire to identify the effect of new treatments (even ML algorithms) on many blocks of experimental data. With time requirements or budget constraints, assigning all treatments to each block is not always feasible. This creates incomplete responses with respect to a randomized complete block design (RCBD). These incomplete responses are missing by design. However, whether they can be estimated with missing imputation methods is not well underst

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35

Scott, R. A., and G. A. Milliken. "A SAS Program for Analyzing Augmented Randomized Complete‐Block Designs." Crop Science 33, no. 4 (1993): 865–67. http://dx.doi.org/10.2135/cropsci1993.0011183x003300040046x.

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36

Howitt, Angus J., and Douglas Murray. "Blueberry, Fruitworm Insecticide Test, 1985." Insecticide and Acaricide Tests 11, no. 1 (1986): 82–83. http://dx.doi.org/10.1093/iat/11.1.82a.

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Abstract A randomized complete block design was used. Each block was composed of 10 rows with 12 bushes in each row. Each treatment was randomly assigned to 1 row in each of 4 blocks. One buffer row was left between treatments in each block. Materials were applied by a hand-held CO2 sprayer dilute to drip on 6 Jun and 19 Jun. Evaluation consisted of examining 5 berry clusters from each of 10 bushes (50 clusters per treatment per block) in each treated row. The damage was categorized as cherry fruitworm if the entry point was near the calyx end and cranberry fruitworm if the entry point was nea

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37

Bhimani, PC, VB Darji, Jignesh K. Parmar, and Darshan L. Kothiya. "Assessing the efficiency of variance balance design and row column design in comparison to randomized complete block design." International Journal of Advanced Biochemistry Research 8, no. 12 (2024): 1265–68. https://doi.org/10.33545/26174693.2024.v8.i12p.3421.

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38

Ntim Amedor, Evans. "Influence of Poultry Manure Rates on Postharvest Quality and Shelf-Life of Green Pepper (Capsicum Annum) Fruits." Food Science and Nutrition 10, no. 6 (2024): 1–7. https://doi.org/10.24966/fsn-1076/100206.

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The research investigated the impact of different poultry manure rates on the post-harvest quality and shelf-life of green pepper (Capsicum annuum) fruits. The experiment utilized a 3×1 factorial design, implemented within a Randomized Complete Block Design (RCBD) framework.

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39

Kao, L. H., and S. Chakraborti. "Nonparametric procedures for comparing treatments with a control in a randomized complete block design." Communications in Statistics - Theory and Methods 27, no. 3 (1998): 687–704. http://dx.doi.org/10.1080/03610929808832121.

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40

Souza, Elaine Aparecida de, Isaias Olívio Geraldi, Magno Antonio Patto Ramalho, and Fernando de Lelis Garcia Bertolucci. "Experimental alternatives for evaluation of progenies and clones in eucalyptus breeding programs." Revista Árvore 27, no. 4 (2003): 427–34. http://dx.doi.org/10.1590/s0100-67622003000400002.

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The feasibility of using augmented block designs and spatial analysis methods for early stage selection in eucalyptus breeding programs was tested. A total of 113 half-sib progenies of Eucalyptus urophylla and eight clones were evaluated in an 11 x 11 triple lattice experiment at two locations: Posto da Mata (Bahia, Brazil) and São Mateus (Minas Gerais, Brazil). Four checks were randomly allocated within each block. Plots consisted of 15 m long rows containing 6 plants spaced 3 m apart. The girth at breast height (cm/plant) was evaluated at 19 and 26 months of age. Variance analyses were perfo

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41

Katsileros, Anastasios, and Christos Koukouvinos. "Evaluation of experimental designs in durum wheat trials." Biometrical Letters 52, no. 2 (2015): 105–14. http://dx.doi.org/10.1515/bile-2015-0010.

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Abstract Variability among experimental plots may be a relevant problem in field genotype experiments, especially when a large number of entries are involved. Four field trials on 24 durum wheat genotypes were conducted in 2013/14 in order to evaluate the efficiency of Incomplete Block, Alpha and Augmented designs in comparison with the traditional Randomized Complete Block Design (RCBD). The results showed that the RCBD can be replaced by an Alpha design, which provides better control of variability among the experimental units when the number of treatments to be tested in an experiment excee

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42

Tam-is, Rocelyn J., Manuel D. Gacutan, Jr., Warren D. Come, and Lynette C. Cimafranca. "Physico-Chemical Characteristics and In Vitro Rumen Degradability of Insect Frass as NPN Source for Mineral Blocks in Goats." International Journal of Multidisciplinary: Applied Business and Education Research 6, no. 6 (2025): 2785–93. https://doi.org/10.11594/ijmaber.06.06.11.

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The study was conducted to determine the potential of superworm (Zophobas morio) larvae (SWL) and black soldier fly (Hermetia illucens) larvae (BSFL) frass at 10% inclusion as non-protein nitrogen (NPN) source in formulating mineral blocks for goats, with emphasis on the physico-chemical properties of the mineral blocks, and to assess the extent of feed degradation in goats supplemented with insect frass-based mineral block through an in vitro degradability trial. A total of 16 post-weaned goats were used to determine the effects of supplementing insect frass-based mineral blocks on the feed d

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43

Walker, G. P., J. G. Morse, D. C. G. Aitken, O. L. Brawner, and D. J. Smith. "Citrus Thrips Control and Impact on California Red Scale, 1988." Insecticide and Acaricide Tests 16, no. 1 (1991): 49. http://dx.doi.org/10.1093/iat/16.1.49.

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Abstract Insecticides for the control of citrus thrips populations were evaluated during spring, 1988 in Field 93 (5-yr old Washington Navel oranges) located at the University of California Lindcove Field Station near Exeter, Calif. The effect of these pesticides on California red scale was also evaluated. Pesticides were applied one d after petal fall (on 26 Apr) with a Bean hand sprayer set at 500 psi, outside coverage, and 200 gal/acre. Seventy-seven single tree plots were assigned to 11 blocks (7 trees per block) based on California red scale pretreatment levels so that the 7 trees within

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44

Howitt, Angus J., and Alan R. Hays. "Apple, Mid Season Acaricide Test, 1985." Insecticide and Acaricide Tests 11, no. 1 (1986): 44–45. http://dx.doi.org/10.1093/iat/11.1.44a.

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Abstract A randomized complete block design was used. Treatments consisted of single trees in each of 4 blocks. Trees were selected which had existent mite populations. These trees were sampled and numbers of mite per leaf determined. Trees were then divided into 4 blocks based on similarity of counts. Each treatment was then randomly assigned to a tree in each block (blocked by precount). Evaluations were by the following: From each tree 50 leaves were selected at random. Leaves were brushed in a mite brushing machine and resulting plates examined for ERM. Numbers were recorded as counts per

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45

Howitt, Angus J., and Alan R. Hays. "Apple, Mid Season Acaricide Test, 1985." Insecticide and Acaricide Tests 11, no. 1 (1986): 45–46. http://dx.doi.org/10.1093/iat/11.1.45.

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Abstract A randomized complete block design was used. Treatments consisted of single trees in each of 4 blocks. Trees were selected which had existent mite populations. These trees were sampled and numbers of mite per leaf determined. Trees were then divided into 4 blocks based on similarity of counts. Each treatment was then randomly assigned to a tree in each block (blocked by precount). Evaluations were by the following: From each tree 50 leaves were selected at random. Leaves were brushed in a mite brushing machine and resulting plates examined for ERM. Numbers were recorded as counts per

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46

Tharangani, Himali, Changwen Lu, Liansheng Zhao, et al. "Estimation of between-Cow Variability in Nutrient Digestion of Lactating Dairy Cows Fed Corn-Based Diets." Animals 10, no. 8 (2020): 1363. http://dx.doi.org/10.3390/ani10081363.

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The objective of this study was to estimate cow variability that can be used to determine the optimal sample size for digestibility trials using lactating dairy cows. Experimental design was randomized complete block design having three blocks and three dietary treatments. Three similarly managed nearby intensive farms were considered as blocks, and three diets were formulated to have 0.7, 1.0, and 1.3 neutral detergent fiber (NDF): starch ratio. In each farm, 18 cows were assigned for each dietary treatment and five sample sizes per each treatment group were simulated by simple random samplin

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Karthikeyan, P., K. Kalaiselvi, M. Pachamuthu, Kanulla Karthik, and A. Johnson Santhosh. "An Optimisation Method of Construction for Warping Copper Plates and Engines Using Complete Block Designs with Some Special Types of Graphs." Advances in Materials Science and Engineering 2023 (January 31, 2023): 1–12. http://dx.doi.org/10.1155/2023/9002743.

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The application of bipartite and regular graphs plays a vital role in the area of engineering, mathematical sciences, design of experiments, and medical fields. This study proposes an optimization method for constriction of randomized block design and Latin square design using bipartite and regular graphs with applications of warping copper plates in specimens and comparing them to burners and engines on different days. The construction methods and analysis are performed as follows: the first method is a construction of randomized block design using bipartite and complete bipartite graphs with

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Yonce, Carroll E., and C. Ralph Gentry. "Peach, Preliminary Assessment of Carzol for Insect Control, 1987." Insecticide and Acaricide Tests 13, no. 1 (1988): 60. http://dx.doi.org/10.1093/iat/13.1.60.

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Abstract The test was conducted in a block of ‘Harvester’ peaches (3rd leaf). A randomized complete experimental block design was used. Carzol 90 SP was applied at 0.5 and 1.0 lb (AI)/acre with varying numbers of applications to coincide with projected beginning and peak populations of the subject insects being assessed for fruit damage. Insecticide was applied with a portable John Bean handgun sprayer (300 psi) and wet to run-off. Standard fungicides were used to protect against diseases. All fruit from treated and untreated blocks was picked at harvest and evaluated for catfacing, plum curcu

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Sirikasemsuk, Kittiwat, Kanogkan Leerojanaprapa, and Sirisak Sirikasemsuk. "Full-Model Regression Sum of Squares of Randomized Complete Block Design Having One Unrecorded Observation." Journal of Computational and Theoretical Nanoscience 16, no. 5 (2019): 2321–26. http://dx.doi.org/10.1166/jctn.2019.7893.

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Al-Shamary, Nabaa Mohammed, Hadeel Salim Alkutubi, and Shaymaa Maki Kadham. "Analysis of Coronavirus Data Using a Randomized Complete Block Design and Tukey's Honest Significance Test." Mathematical Modelling of Engineering Problems 12, no. 2 (2025): 395–402. https://doi.org/10.18280/mmep.120204.

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