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GEOSTATISTICAL MODELING OF SOYBEAN YIELD AND SOIL CHEMICAL ATTRIBUTES USING SPATIAL BOOTSTRAP REA
Dalposso,Gustavo H.; Uribe-Opazo,Miguel A.; Johann,Jerry A.; Bastiani,Fernanda De; Galea,Manuel.
ABSTRACT The goal of this study was to use the spatial bootstrap method to model the spatial dependence structure of soybean yield and soil chemical attributes in an agricultural area. The study involved developing confidence intervals in probability plots to determine the probability distributions assumed by the data; determine the empirical distributions of the semivariances and model parameters, allowing to obtain statistics and confidence intervals; and to construct maps for the variables. The quantile-quantile plots indicated that the data follows a normal distribution. The confidence intervals for the semivariances helped to model the spatial dependence structure, and the descriptive statistics of the bootstrap replicates of the model parameters...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Confidence intervals; Quantile-quantile plot; Resampling; Spatial dependence.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000300350
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Factorial analysis of bootstrap variances of population genetic parameter estimates Genet. Mol. Biol.
Carlini-Garcia,Luciana Aparecida; Vencovsky,Roland; Coelho,Alexandre Siqueira Guedes.
We presented an alternative way to verify the relative contribution to the total variance, of the sources of variation due to populations (P), individuals within populations (I), the (P*I) interaction, and the standard error of the following parameter estimates: total (F) and intrapopulation (f) fixation indices, and divergence among populations (q). The knowledge of this relative contribution is important to establish sampling strategies of natural populations. To attain these objectives, the bootstrap method was used to resample simultaneously populations and individuals, considering different combinations of P and I. This procedure was repeated five times for a given combination of each analyzed data set. For each data set, five estimates of these...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Population structure; Resampling; Natural populations.
Ano: 2006 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572006000200019
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Reference sample size for multiple regression in corn PAB
Cargnelutti Filho,Alberto; Toebe,Marcos.
Abstract: The objective of this work was to determine the number of plants required to model corn grain yield (Y) as a function of ear length (X1) and ear diameter (X2), using the multiple regression model Y = β0 + β1X1 + β2X2. The Y, X1, and X2 traits were measured in 361, 373, and 416 plants, respectively, of single-, three-way, and double-cross hybrids in the 2008/2009 crop year; and in 1,777, 1,693, and 1,720 plants, respectively, of single-, three-way, and double-cross hybrids in the 2009/2010 crop year, totaling 6,340 plants. Descriptive statistics were calculated, and frequency histograms and scatterplots were created. The sample size (number of plants) for the estimate of the β0, β1, and β2 parameters, of the residual standard error, the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Zea mays; Descriptive statistics; Hybrids; Modeling; Resampling.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2020000102100
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Sample size for the estimation of Pearson’s linear correlation in crotalaria species PAB
Toebe,Marcos; Machado,Letícia Nunes; Tartaglia,Francieli de Lima; Carvalho,Juliana Oliveira de; Bandeira,Cirineu Tolfo; Cargnelutti Filho,Alberto.
Abstract: The objective of this work was to determine the necessary sample size to estimate Pearson’s linear correlation coefficients of four species of crotalaria at precision levels. The experiment was carried out with Crotalaria juncea, Crotalaria spectabilis, Crotalaria breviflora, and Crotalaria ochroleuca, during the 2014/2015 crop year. Eight crotalaria traits were evaluated in 1,000 randomly collected pods per species. For each species, the correlation coefficients were estimated for the 28 pairs of traits, and the sample size necessary to estimate the correlation coefficients was determined at four precision levels [0.10, 0.20, 0.30, and 0.40 amplitudes of the 95% (CI95%) confidence interval] by resampling with replacement. The sample size varies...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Crotalaria; Linear relationships; Resampling; Sample precision.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2019000102002
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The sampling bias in multi-agent simulation models AgEcon
Buysse, Jeroen; Frija, Aymen; Van der Straeten, Bart; Nolte, Stephan; Lauwers, Ludwig H.; Claeys, Dakerlia; Van Huylenbroeck, Guido.
For practical considerations, it is in some case impossible to simulate MAS models at population level. The current paper shows that MAS models applied to samples with heterogeneous costs of interactions between agents have biased results. Heterogeneous costs of interactions in MAS models can come from the spatial dimension in MAS models or from fixed costs per interaction. The paper presents two correction procedures to remove the sampling bias and to increase the reliability of the outcome. The correction procedures can be very promising for future applications of MAS models because it becomes possible to deploy more complex models without bias on more detailed datasets that are only available at sample level, which will be the case for country- or...
Tipo: Conference Paper or Presentation Palavras-chave: MAS; Bias; Correction; Resampling; Agricultural and Food Policy; Q12; Q18; Q51; Q52.
Ano: 2011 URL: http://purl.umn.edu/99599
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Uniformity trials size for estimating cherry tomato plot size Rev. Ciênc. Agron.
Sari,Bruno Giacomini; Lúcio,Alessandro Dal'Col.
ABSTRACT The aim of this study was to determine how the size of the uniformity trial influences the estimation of cherry tomato plot size. The size of plot required to evaluate the mean length of fruit per plant, mean fruit width per plant, mean fruit weight per plant, number of bunches per plant, number of fruits per bunch, number of fruits per plant and total weight of fruits per plant was estimated in uniformity trials in two greenhouses: large (250 m²) and small (200 m²). In each greenhouse and row, and for each variable, 3000 plot size estimates were obtained by resampling and used to determine of 97.5 and 2.5% percentiles. Each row needs to be treated as a specific uniformity trial because of significant row variability. It is recommended that...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Solanum lycopersicum L.; Resampling; Experimental Planning; Vegetable Crops.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902018000400653
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Comparison of beat cloth and entomological net methods for determining faunistic indices of soybean in Rio Grande do Sul, Brazil Scientia Agricola
Storck,Lindolfo; Antúnez,Claudia Carolina Cabral; Guedes,Jerson Vanderlei Carús; Cargnelutti Filho,Alberto; Alvarez,Jimmy Walter Rasche.
ABSTRACT Estimates of diversity indices provide information on distribution, richness and abundance of species within a community. The aim of the current study was to estimate faunistic indices (richness, constancy, dominance and abundance) of the species collected by beat cloth and entomological net sampling methods in different soybean crops and to determine the sample size necessary to estimate faunistic indices. Fauna density from 100 soybeans crops located in nine municipalities in Rio Grande do Sul, Brazil, were evaluated. Thirty points, 20 meters apart from one another, were marked in the crops. At each point, insect pests and natural enemies were collected using the two sampling methods. Faunistic indices, including the average and interval...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Glycine max; Resampling; Sample size; Natural enemies; Sampling methods.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162016000600559
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Variance additivity of genetic populational parameter estimates obtained through bootstrapping Scientia Agricola
Carlini-Garcia,Luciana Aparecida; Vencovsky,Roland; Coelho,Alexandre Siqueira Guedes.
Studying the genetic structure of natural populations is very important for conservation and use of the genetic variability available in nature. This research is related to genetic population structure analysis using real and simulated molecular data. To obtain variance estimates of pertinent parameters, the bootstrap resampling procedure was applied over different sampling units, namely: individuals within populations (I), populations (P), and individuals and populations simultaneously (I, P). The considered parameters were: the total fixation index (F or F IT), the fixation index within populations (f or F IS) and the divergence among populations or intrapopulation coancestry (theta or F ST). The aim of this research was to verify if the variance...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Population structure; Resampling; Molecular markers; Natural populations; Simulation.
Ano: 2003 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162003000100015
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Sample size for estimating mean and coefficient of variation in species of crotalarias Anais da ABC (AABC)
TOEBE,MARCOS; MACHADO,LETÍCIA N.; TARTAGLIA,FRANCIELI L.; CARVALHO,JULIANA O. DE; BANDEIRA,CIRINEU T.; CARGNELUTTI FILHO,ALBERTO.
ABSTRACT The objective of this study was to determine the sample size necessary to estimate the mean and coefficient of variation in four species of crotalarias (C. juncea, C. spectabilis, C. breviflora and C. ochroleuca). An experiment was carried out for each species during the season 2014/15. At harvest, 1,000 pods of each species were randomly collected. In each pod were measured: mass of pod with and without seeds, length, width and height of pods, number and mass of seeds per pod, and mass of hundred seeds. Measures of central tendency, variability and distribution were calculated, and the normality was verified. The sample size necessary to estimate the mean and coefficient of variation with amplitudes of the confidence interval of 95% (ACI95%) of...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Crotalaria sp; Experimental precision; Number of pods; Resampling.
Ano: 2018 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000401705
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Sample size for estimation of the Pearson correlation coefficient in cherry tomato tests Ciência Rural
Sari,Bruno Giacomini; Lúcio,Alessandro Dal’Col; Santana,Cinthya Souza; Krysczun,Dionatan Ketzer; Tischler,André Luís; Drebes,Lucas.
ABSTRACT: The aim of this study was to determine the required sample size for estimation of the Pearson coefficient of correlation between cherry tomato variables. Two uniformity tests were set up in a protected environment in the spring/summer of 2014. The observed variables in each plant were mean fruit length, mean fruit width, mean fruit weight, number of bunches, number of fruits per bunch, number of fruits, and total weight of fruits, with calculation of the Pearson correlation matrix between them. Sixty eight sample sizes were planned for one greenhouse and 48 for another, with the initial sample size of 10 plants, and the others were obtained by adding five plants. For each planned sample size, 3000 estimates of the Pearson correlation coefficient...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Solanum lycopersicum var. cerasiforme; Sampling; Resampling; Bootstrap..
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017001000206
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Methods of analysis and number of replicates for trials with large numbers of soybean genotypes Ciência Rural
Matei,Gilvani; Benin,Giovani; Storck,Lindolfo; Milioli,Anderson Simionato; Bozi,Antonio Henrique; Dalló,Samuel Cristian; Lucion,Ricardo Antonio.
ABSTRACT: The aim of this study was to evaluate the experimental precision of different methods of statistical analysis for trials with large numbers of soybean genotypes, and their relationship with the number of replicates. Soybean yield data (nine trials; 324 genotypes; 46 cultivars; 278 lines; agricultural harvest of 2014/15) were used. Two of these trials were performed at the same location, side by side, forming a trial with six replicates. Each trial was analyzed by the randomized complete block, triple lattice design, and use of the Papadakis method. The selective accuracy, least significant difference, and Fasoulas differentiation index were estimated, and model assumptions were tested. The resampling method was used to study the influence of the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Glycine max; Resampling; Experimental precision; Experimental design; Selective accuracy.
Ano: 2017 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000400202
Registros recuperados: 11
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