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Dive into the research topics where Ismael Mario Márcio Neu is active.

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Featured researches published by Ismael Mario Márcio Neu.


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 | 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


Pesquisa Agropecuaria Brasileira | 2014

Precisão experimental relacionada a tamanhos de parcelas, números de tratamentos e repetições em nabo forrageiro

Alberto Cargnelutti Filho; Lindolfo Storck; Marcos Toebe; Cláudia Burin; Bruna Mendonça Alves; Giovani Facco; Ismael Mario Márcio Neu

The objective of this work was to determine the experimental precision in the evaluation of forage turnip fresh matter weight, in scenarios formed by combinations of plot sizes and number of treatments and replicates. Data from fresh matter weight of 3,456 basic experimental units of 0.5×0.5 m (0.25 m2) were used. The scenarios (1,728) were planned and formed by the combinations of six plot sizes (0.25, 0.50, 1.00, 1.50, 2.00, and 2.25 m2), i treatments (i = 5, 6,..., 20), and r replicates (r = 3, 4,..., 20). For each scenario, 2,000 resamplings were carried out, with replacement. The average of these 2,000 estimates, in each scenario, was calculated for the least significant difference by Tukeys test, the variation index, and the experimental coefficient of variation. These statistics, in that order, are adequate to evaluate the experimental precision. To evaluate turnip fresh matter weight, in experiments in a completely randomized design with 5 to 20 treatments and five replicates, plots with the size of six basic experimental units (1.50 m2) are sufficient to identify significant differences between treatments - less than or equal to 36.88% of the overall mean -, by Tukeys test at 5% probability, in experiments in a completely randomized design with 5 to 20 treatments and five replicates.


Bragantia | 2017

Phyllochron and leaf appearance rate in oat

Gabriela Görgen Chaves; Alberto Cargnelutti Filho; Bruna Mendonça Alves; André Lavezo; Cleiton Antonio Wartha; Daniela Barbieri Uliana; Rafael Vieira Pezzini; Jéssica Andiara Kleinpaul; Ismael Mario Márcio Neu

Abstract: Phyllochron and leaf appearance rate are both important parameters in the production efficiency of agricultural crops. The objectives of this study were to determine the phyllochron and leaf appearance rate in 4 oat cultivars ( Avena sativa L.) in 3 sowing dates and verify the variability of phyllochron and leaf appearance rate among cultivars and sowing dates. The experimental design was the completely randomized with 12 treatments and 20 repetitions. Treatments were formed by the combination of 4 cultivars (URS Charrua, URS Taura, URS Estampa, and URS Corona) and 3 sowing dates in 2014 (April 28, May 28, and July 14). In each plant (repetition) of each treatment, the number of expanded leaves (NEL) was counted 3 times per week from the first leaf emission until flowering. For each plant, cultivar, and sowing date, linear regression was adjusted between NEL and Crop produCtion And MAnAgeMent - Article Phyllochron and leaf appearance rate in oat Gabriela Gorgen Chaves, Alberto Cargnelutti Filho*, Bruna Mendonca Alves, Andre Lavezo, Cleiton Antonio Wartha, Daniela Barbieri Uliana, Rafael Vieira Pezzini, Jessica Andiara Kleinpaul, Ismael Mario Marcio Neu


The Journal of Agricultural Science | 2018

Sample Size to Estimate the Mean and Median of Traits in Canola

Alberto Cargnelutti Filho; Cleiton Antonio Wartha; Jéssica Andiara Kleinpaul; Ismael Mario Márcio Neu; Daniela Lixinski Silveira

The aim of this study was to determine the sample size (i.e., number of plants) required to estimate the mean and median of canola (Brassica napus L.) traits of the Hyola 61, Hyola 76, and Hyola 433 hybrids with precision levels. At 124 days after sowing, 225 plants of each hybrid were randomly collected. In each plant, morphological (plant height) and productive traits (number of siliques, fresh matter of siliques, fresh matter of aerial part without siliques, fresh matter of aerial part, dry matter of siliques, dry matter of aerial part without siliques, and dry matter of aerial part) were measured. For each trait, measures of central tendency, variability, skewness, and kurtosis were calculated. Sample size was determined by resampling with replacement of 10,000 resamples. The sample size required for the estimation of measures of central tendency (mean and median) varies between traits and hybrids. Productive traits required larger sample sizes in relation to the morphological traits. Larger sample sizes are required for the hybrids Hyola 433, Hyola 61, and Hyola 76, in this sequence. In order to estimate the mean of canola traits of the Hyola 61, Hyola 76 e Hyola 433 hybrids with the amplitude of the confidence interval of 95% equal to 30% of the estimated mean, 208 plants are required. Whereas 661 plants are necessary to estimate the median with the same precision.


Bragantia | 2018

Plot size related to numbers of treatments and replications, and experimental precision in dwarf pigeon pea

Alberto Cargnelutti Filho; André Lavezo; Cláudia Marques de Bem; Fernanda Carini; Denison Esequiel Schabarum; Cirineu Tolfo Bandeira; Jéssica Andiara Kleinpaul; C.A. Wartha; Daniela Lixinski Silveira; Rafael Vieira Pezzini; Rosana Marzari Thomasi; Fernanda Martins Simões; Ismael Mario Márcio Neu

The aim of this study was to determine the optimum plot size to evaluate the fresh matter of aerial part of dwarf pigeon pea (Cajanus cajan (L.) Millsp), cultivar IAPAR 43 (Aratã), in scenarios formed by combinations of numbers of treatments, number of replications, and precision levels. The fresh matter of aerial part was weighed on basic experimental units of 1 m × 1 m in three uniformity trials with size of 24 m × 12 m (288 m2 in each trial). The soil heterogeneity index of Smith was estimated. Also, the optimum plot size was determined by Hatheway’s method in scenarios formed by combinations of BASIC AREAS Article Plot size related to numbers of treatments and replications, and experimental precision in dwarf pigeon pea Alberto Cargnelutti Filho1*, André Lavezo2, Cláudia Marques de Bem2, Fernanda Carini2, Denison Esequiel Schabarum2, Cirineu Tolfo Bandeira2, Jéssica Andiara Kleinpaul2, Cleiton Antonio Wartha3, Daniela Lixinski Silveira2, Rafael Vieira Pezzini2, Rosana Marzari Thomasi1, Fernanda Martins Simões1, Ismael Mario Márcio Neu2 1.Universidade Federal de Santa Maria Departamento de Fitotecnia Santa Maria (RS), Brazil. 2.Universidade Federal de Santa Maria Programa de Pós-Graduação em Agronomia Santa Maria (RS), Brazil. 3.Universidade Federal de Viçosa Programa de Pós-Graduação em Fitotecnia Viçosa (MG), Brazil. *Corresponding author: [email protected] Received: Mar. 15, 2017 – Accepted: May 29, 2017 i treatments (i = 5, 10, 15, and 20), r replications (r = 3, 4, 5, 6, 7 8, 9, and 10), and d precision levels (d = 5%, 10%, 15%, 20%, 25%, and 30%). In experiments designed on randomized block design with 5 to 20 treatments and four replications, plots with 9 m2 were enough to identify significant differences among treatments regarding the fresh matter of aerial part in dwarf pigeon pea at 5% probability of 30% of the experiment overall mean.


Bragantia | 2016

Relações lineares entre caracteres de linho

Alberto Cargnelutti Filho; Bruna Mendonça Alves; Jéssica Andiara Kleinpaul; Ismael Mario Márcio Neu; Daniela Lixinski Silveira; Fernanda Martins Simões; Cleiton Antonio Wartha

The objectives of this study were to evaluate the linear relations among traits of flax (Linum usitatissimum L.) and identify traits for indirect selection. In experimental area of 15 × 15 m (225 m2) 300 plants were randomly collected at 134 days after seeding. The traits plant height, number of branches, number of capsules, fresh matter of capsules, fresh matter of aerial part without capsules, fresh matter of aerial part, dry matter of capsules, dry matter of aerial part without capsules, and dry matter of aerial part were measured in each plant. The mean and coefficient of variation were calculated for each trait. It was studied the linear relation among the traits through correlation and path analysis. In flax, the number of capsules has positive linear relation with fresh and dry matter of capsules and aerial part and it can be used for indirect selection.


Ciencia Rural | 2014

Tamanho de parcela e número de repetições em aveia preta

Alberto Cargnelutti Filho; Bruna Mendonça Alves; Marcos Toebe; Cláudia Burin; Gustavo Oliveira dos Santos; Giovani Facco; Ismael Mario Márcio Neu; Réges Bellé Stefanello


Ciencia Rural | 2015

Dimensionamento amostral para avaliar caracteres morfológicos e produtivos de aveia preta em épocas de avaliação

Alberto Cargnelutti Filho; Marcos Toebe; Bruna Mendonça Alves; Cláudia Burin; Gustavo Oliveira dos Santos; Giovani Facco; Ismael Mario Márcio Neu

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Alberto Cargnelutti Filho

Universidade Federal de Santa Maria

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Bruna Mendonça Alves

Universidade Federal de Santa Maria

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Cláudia Burin

Universidade Federal de Santa Maria

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Giovani Facco

Universidade Federal de Santa Maria

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Jéssica Andiara Kleinpaul

Universidade Federal de Santa Maria

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Marcos Toebe

Universidade Federal de Santa Maria

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Gustavo Oliveira dos Santos

Universidade Federal de Santa Maria

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Daniela Lixinski Silveira

Universidade Federal de Santa Maria

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Fernanda Martins Simões

Universidade Federal de Santa Maria

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Réges Bellé Stefanello

Universidade Federal de Santa Maria

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