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Dive into the research topics where Cláudia Burin is active.

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Featured researches published by Cláudia Burin.


Pesquisa Agropecuaria Brasileira | 2010

Tamanho de amostra para estimação do coeficiente de correlação linear de Pearson entre caracteres de milho

Alberto Cargnelutti Filho; Marcos Toebe; Cláudia Burin; Tatiani Reis da Silveira; Gabriele Casarotto

The objective of this work was to determine the sample size for estimating the Pearson correlation coefficient among characters from three corn hybrids. For the analyses, 361, 373 and 416 plants were taken randomly from the hybrids single, triple and double, respectively. For each plant, the following characters were measured: major and minor stem diameters, plant and, heights, weight, length and diameter of ear, number of rows per ear, weight and diameter of cob, a hundred-grain weight, number of grain per ear, grain length and grain yield. For each of the 91 pairs of characters and hybrids, the sample size, based on bootstrap with replacement of 1,000 samples, of each simulated sample size, was determined. In the estimation of Pearson correlation coefficient with the same precision, the sample size (number of plants) increases in the direction of character pairs with lower intensity of the linear relationship, independently of the hybrid cross type. For the 91 pairs of characters studied, 252 plants are sufficient to estimate the Pearson correlation coefficient, in the bootstrap confidence interval 95%, equal to 0.30


Bragantia | 2012

Modelos para a estimação da área foliar de feijão de porco por dimensões foliares

Marcos Toebe; Alberto Cargnelutti Filho; Cláudia Burin; André Luis Fick; Ismael Mario Márcio Neu; Gabriele Casarotto; Bruna Mendonça Alves

The objective of this work was to model the leaf area of jack bean determined by digital photos with the length or width and/or the product length × width of the central leaflet limb of the leaf. At six periods of crop development (29, 43, 57, 73, 87 and 101 days after emergence) 745 leaves were randomly collected. Each leaf is composed by left, center and right leaflets. The length (CFC) and width (LFC) were measured and the product length by the width (CFC×LFC) of the central leaflet calculated. The leaf area (sum of the leaf area of the left, center and right leaflets) was calculated by the method of digital photos (Y). An amount of 605 leaves were used to build models of the type quadratic, potency and linear, considering Y as function of the CFC, LFC and/or CFC×LFC. For validation, 140 leaves were used. The potency model of the leaf area obtained by method of digital photos (Ŷ=3.7046x1.8747, R2=0.9757) based on the width central leaflet, is adequate to estimate the leaf area in jack bean.


Ciencia Rural | 2011

Tamanhos de parcela e de ensaio de uniformidade em nabo forrageiro

Alberto Cargnelutti Filho; Marcos Toebe; Cláudia Burin; André Luis Fick; Gabriele Casarotto

The objectives of this research was to determine the optimum plot size and uniformity assay size for estimating the optimum plot size to evaluate the fresh weight of turnip (Raphanus sativus L.). Data were used from the fresh weight of 3,456 basic experimental units of 0.5m x 0.5m (0.25m2) and 46 uniformity assays sizes were planned. The optimum plot size was determined by the method of maximum curvature of the coefficient of variation model. The uniformity assay size, based on bootstrap with replacement of 2,000 samples, of each planned uniformity assay size, was determined. The optimum plot size to evaluate the fresh weight of turnip is the basic experimental units 4.82 (1.20m2). Uniformity assays with 225 basic experimental units (56.25m2) are sufficient to estimate the optimum plot size, in the bootstrap confidence interval of 95%, equal to one basic experimental unit.


Bragantia | 2012

Estimativa da área foliar de nabo forrageiro em função de dimensões foliares

Alberto Cargnelutti Filho; Marcos Toebe; Cláudia Burin; André Luis Fick; Gabriele Casarotto

The objective of this work was build a model to estimate leaf area of forage turnips (Raphanus sativus L. var. oleiferus Metzg) determined by digital photos with the length or width and/or the product length×width of the leaf. Seventy-six days after sowing of forage turnip, 557 leaves were collected in the main stem of 92 plants. The length (C) and width (L) of each leaf were measured and the product length × width (C×L) calculated. The leaf area (Y) was determined by the method of digital photos. From the total of leaves, 450 leaves were randomly separated to build models of the types quadratic, potency and linear with Y as function of C, L and/or C×L. 107 leaves were used for model validation. The potency model of the leaf area obtained by the method of digital photos (Ŷ=0.6843x0.9221, R2=0.9862) based on the product length × width is adequate to estimate the leaf area in forage turnip.


Pesquisa Agropecuaria Brasileira | 2010

Consistência do padrão de agrupamento de cultivares de feijão conforme medidas de dissimilaridade e métodos de agrupamento

Alberto Cargnelutti Filho; Nerinéia Dalfollo Ribeiro; Cláudia Burin

The objective of this work was to evaluate the clustering pattern consistency in common bean cultivars (Phaseolus vulgaris L.) obtained from the combination of the eight dissimilarity measures and eight clustering methods. Thirteen common bean cultivars were evaluated in nine experiments conducted in the growing seasons between 2000/2001 and 2004/2005 and grouped according to productive (grain yield and number of pods per plant), phenological (number of days between seedling emergence and flowering, and number of days from emergence to harvest) and morphological (height of first pod insertion and height of the final pod insertion) characters. Analyses of variance, correlation, diagnoses of multicollinearity, cluster and comparison of means were carried out. Clustering pattern consistency was evaluated by the cophenetic correlation coefficient. There is variability in the clustering pattern consistency of common bean cultivars, derived from the combination of different dissimilarity measures and clustering methods. Greater clustering pattern consistency in common bean is found with the average linkage between groups method, based on the euclidian distance.


Ciencia Rural | 2011

Métodos de estimativa do tamanho ótimo de parcelas experimentais de híbridos de milho simples, triplo e duplo

Alberto Cargnelutti Filho; Marcos Toebe; Cláudia Burin; Gabriele Casarotto; Alessandro Dal’Col Lúcio

The aim of this research was to compare estimation methods for both optimum plot size and check the variability of the optimum plot size of single, triple and double hybrid corns. Grain yield data were used, of 16 uniformity assays with the simple hybrid (P32R21), 16 with the triple hybrid (DKB566) and 16 with the double hybrid (DKB747). Each assay consisted of four rows of 6m in length, divided into basic experimental units of a meter. In each of the 48 assays was determined the optimum plot size using the methods of the modified maximum curvature the linear response plateau model and the maximum curvature of the coefficient of variation model. The Spearman correlation coefficient was used to verify the association among methods and the t-test to compare means. There is concordance in the estimation of the optimum experimental plot size of corn hybrids single, triple and double by the methods of the modified maximum curvature and maximum curvature of the coefficient of variation model. When using these methods, the optimum plot size among the hybrids was six basic experimental units for the simple hybrid and five for the triple and double hybrids.


Ciencia Rural | 2014

Tamanho de amostra para a estimação da média de caracteres morfológicos e produtivos de nabo forrageiro

Alberto Cargnelutti Filho; Giovani Facco; Alessandro Dal’Col Lúcio; Marcos Toebe; Cláudia Burin; André Luis Fick; Ismael Mario Márcio Neu

The aim of this research was to determine the sample size to estimate the average of morphological and productive traits of turnip (Raphanus sativus L.). In a experiment, 300 plants were randomly selected and measured for morphological traits (plant height and number of leaf at 21, 35, 48, 55, 62, 70, 77 and 91 days after sowing) and productive (fresh and dry matter of roots, stem, leaf and total of 91 days after sowing). Measures of central tendency and variability were calculated, normality was checked and the sample size was calculated. The sample size of productive traits is greater than morphological to estimate average and it has the same precision. For the morphological and productive traits studied 231 plants are enough to predict the average, with an estimation error maximum of 10% of estimated average, with a degree confidence of 95%.


Ciencia Rural | 2012

Estimação da área foliar de mucuna cinza por meio de método não destrutivo

Alberto Cargnelutti Filho; Marcos Toebe; Cláudia Burin; André Luis Fick; Ismael Mario Márcio Neu; Giovani Facco

The objective of this research was to model the leaf area of velvet bean determined by digital photos with the dimensions of the central leaflet limb of the leaf. A experiment of 256m 2 was conducted with the culture of velvet bean in the Universidade Federal de Santa Maria. In six periods of culture development (29, 43, 57, 73, 87 and 101 days after emergence) were collected, randomly, 790 leaves. Each leaf is composed of the left, center and right leaflets. In these 790 leaves were measured the length (CFC) and width (LFC) and calculated the product length width (CFC×LFC) of the central leaflet. It was determined the leaf area (the leaf area sum of the left, center and right leaflets) by the method of digital photos (Y). Later, 650 leaves were randomly separated, to build the quadratic model, potency and linear of Y in function of the CFC, LFC and/or CFC×LFC. It was used 140 leaves for validation. The potency model of leaf area obtained by method of digital photos (Y=3.6450 x 1.9479


Ciencia Rural | 2012

Tamanho de amostra para a estimação da média do comprimento, diâmetro e massa de sementes de feijão de porco e mucuna cinza

Alberto Cargnelutti Filho; Marcos Toebe; Cláudia Burin; André Luis Fick; Bruna Mendonça Alves; Giovani Facco

The objective of this research was to determine the sample size (number of seeds) to estimate the average of length, major and minor diameters and weight of seeds of jack bean (Canavalia ensiformis) and velvet bean (Stizolobium cinereum). In 300 seeds of jack bean and 300 seeds of velvet bean it was measured following characters: length, major and minor diameters and weight. It was calculated measures of central tendency and variability. After the hypothesis of equality between the means and homogeneity of variances, were tested. It was determined the sample size using resampling with replacement of 10,000 samples. For estimating the average of length, major and minor diameters and weight, with amplitude of confidence interval of 95%, equal 10% of average estimate, 117 and 66 seeds are sufficient, respectively, for jack bean and velvet bean.


Ciencia Rural | 2011

Tamanho ótimo de parcela em milho com comparação de dois métodos

Alberto Cargnelutti Filho; Marcos Toebe; Cláudia Burin; Gabriele Casarotto; André Luis Fick

The objective of this research was to compare two methods of estimating the optimum plot size (Xo) to assess 12 characters of corn hybrids single, triple and double and verify the variability of the Xo among characters and hybrids. It was measured morphological (height plant and cob) and productive (ear weight, number of rows per ear, length and diameter of ear, weight and diameter of cob, weight of hundred grains, number of grain per ear and length and grain yield) characters, in basic experimental units of a meter, in 48 uniformity assays. The Xo was determined using the methods of the maximum curvature modified and the maximum curvature of the model coefficient of variation for each character. The optimum plot size obtained by maximum curvature modified method is concordant, but higher than obtained by maximum curvature of the model coefficient of variation. The optimum plot size of productive characters is greater the morphological. The optimum plot size among the hybrids is 5.04 basic experimental units for the simple hybrid (4.03m2), 5.24 for the triple hybrid (4.19m2) and 5.53 for the double hybrid (4.42m2).

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Alberto Cargnelutti Filho

Universidade Federal de Santa Maria

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Marcos Toebe

Universidade Federal de Santa Maria

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Bruna Mendonça Alves

Universidade Federal de Santa Maria

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Giovani Facco

Universidade Federal de Santa Maria

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Ismael Mario Márcio Neu

Universidade Federal de Santa Maria

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Jéssica Andiara Kleinpaul

Universidade Federal de Santa Maria

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Gabriele Casarotto

Universidade Federal de Santa Maria

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André Luis Fick

Universidade Federal de Santa Maria

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Gustavo Oliveira dos Santos

Universidade Federal de Santa Maria

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Réges Bellé Stefanello

Universidade Federal de Santa Maria

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