Jéssica Andiara Kleinpaul

Estimação da área foliar de canola por dimensões foliares

The objective of this work was to model and identify the best models to estimate the leaf area determined by digital photos, of three canola hybrid, with the length or width and / or the product length width of the leaf. Three uniformity trials were carried with the culture of canola (Brassica napus L.). In each trial was valued one of the following hybrids: Hyola 61, Hyola 76, Hyola 433. In each hybrid were collected 125 leaves at 77, 84, 91, 97 days after sowing, totaling 1,500 leaves. In these 1,500 leaves were measured length (C) and width (L) and calculated the length width (C×L) of the leaf. Was determined the leaf area of each leaf, by the method of digital photos (Y). After, for each hybrid were separated, randomly, 80% of the leaves (100 leaves by collects × 4 collects by hybrid = 400 leaves per hybrid) to build models of quadratic, potency and linear type for Y function of the C, L and/or C×L. The remaining 20% of the leaves (100 leaves by hybrid), separately, were used to validate the models. In canola, the potency model for hybrid Hyola 61 (Ŷ = 1.3000x1.9336, R2 = 0.9531), Hyola 76 (Ŷ = 1.0579x2.0383, R2 = 0.9733) and Hyola 433 (Ŷ = 1.4154x1.9096, R2 = 0.9613), are adequate for estimation of leaf area determined by digital photos (Y) as function of the width of the leaf (x).

Tamanho de parcela e número de repetições em canola

The objectives of this work were to determine the optimum plot size and number of repetitions, to evaluate the fresh weight of canola (Brassica napus L.). Twenty-seven uniformity trials of 5m×5m (25m2) were conducted. Each trials was divided in 25 basic experimental units (BEU) of 1m×1m, totaling 675BEU. The fresh weight of plants, in each BEU was weighed. The optimum plot size (Xo) was determined by the method of maximum curvature of the model coefficient of variation and the means compared, among hybrids, by Scott-Knott test. The number of repetitions, for experiments on completely randomized and randomized block designs, in scenarios of combinations of i treatments (i=3, 4, ..., 50) and d minimal differences between treatments means, to be detected as significant, 5% probability by Tukey test, expressed in percentage of the average of the experiment (d=10%, 12%, ..., 40%), was determined by iterative process until convergence. The optimum plot size to evaluate the fresh weight of canola is 6.41 m2. Four replications, to evaluate up to 50 treatments, in completely randomized and randomized block designs, are sufficient to identify, as significant at the 5% probability by Tukey test, differences between treatment means 41.4% of the average experiment.

Plot size and number of replications to evaluate the grain yield in oat cultivars

The objectives of this study were to determine the optimum plot size (Xo) and the number of replications to evaluate grain yield and verify the variability of Xo among oat cultivars. Thirtytwo uniformity trials of 3 × 3 m were performed, being 8 from each cultivar (URS Charrua, URS Taura, URS Estampa, and URS Corona). Each uniformity trial was divided in 36 basic experimental units (BEU) of 0.5 × 0.5 m. Grain yield was determined in each BEU. The Xo was determined by the method of maximum curvature of the coefficient of variation model. Mean comparisons among cultivars were performed by the Scott-Knott test via bootstrap. The number of replications was calculated by an iterative process until convergence for experiments in completely randomized design (CRD) and randomized block CRop pRoduCTion And MAnAgeMenT Article Plot size and number of replications to evaluate the grain yield in oat cultivars André Lavezo, Alberto Cargnelutti Filho*, Cláudia Marques de Bem, Cláudia Burin, Jéssica Andiara Kleinpaul, Rafael Vieira Pezzini Universidade Federal de Santa Maria Centro de Ciências Rurais Departamento de Fitotecnia Santa Maria (RS), Brazil. *Corresponding author: alberto.cargnelutti.filho@gmail.com Received: Sept. 26, 2016 – Accepted: Dec. 6, 2016 design (RBD). Scenarios formed by i combinations (i = 3, 4, ..., 50) treatments — with d least differences among treatment means to be detected as significant at 5% probability of type I error by Tukey test, expressed as a percentage of the overall experimental mean (d = 10%, 15%, 20%, 25%, 30%, 35%, 40%, and 45%) — were planned. The Xo of 1.57 m2 is enough to evaluate the grain yield in these 4 oat cultivars. Four replications to evaluate grain yield with up to 50 treatments in the experimental designs of CRD and RBD are enough to identify significant differences among treatment means of 40.53% of the overall experimental mean, by Tukey test at 5% probability of type I error.

Phyllochron and leaf appearance rate in oat

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

Sample sizes to estimate mean values for tassel traits in maize genotypes

Tassel traits are important in maize breeding programs aiming to reduce the size and number of branches and maintain satisfactory pollen production in order to increase grain yield. The objectives of this study were to determine the sample size (number of tassels) required to estimate the mean values for tassel traits in maize genotypes and to verify the variability of sample size among genotypes. Twenty maize genotypes were evaluated in an experiment carried out in a randomized block design with three replicates. Twenty tassels were randomly collected in each plot, for a total of 1200 tassels. In each tassel, the following traits were measured: peduncle dry matter, branching space dry matter, central spike dry matter, tassel dry matter, peduncle length, branching space length, central spike length, tassel length, tassel dry matter to tassel length ratio, number of primary branches, number of secondary branches, and tassel branch number. Measures of central tendency and variability were calculated, analysis of variance and mean comparison tests were performed, normality was verified, and the sample size was determined. In order to estimate the means with the same precision, the sample size for weight traits was greater than that for length traits. For tassel traits, 11, 20, and 43 tassels are sufficient to estimate the mean with a precision of 40, 30, and 20%, respectively, of the estimated mean at a 95% confidence level. These data show that there is sample size variability among maize genotypes.

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

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.

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

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: alberto.cargnelutti.filho@gmail.com 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.

Models for leaf area estimation in dwarf pigeon pea by leaf dimensions

Bragantia, Campinas, v. 77, n. 2, p.221-229, 2018 ABSTRACT: This study aims to determine the most suitable model to estimate the leaf area of dwarf pigeon pea in function of the leaf central leaflet dimension. Six samplings of 200 leaves were performed in the first experiment, at 36, 42, 50, 56, 64, and 72 days after emergence (DAE). In the second experiment, seven samplings of 200 leaves were performed at 29, 36, 43, 49, 57, 65, and 70 DAE, totaling 2600 leaves. The length (L) and width (W) of the central leaflet were measured in all leaves composed by left, central, and right leaflets, the product of length times width (LW) was calculated, and the leaf area (Y – sum of left, central, and right leaflet areas) was determined by digital images. Linear, power, quadratic, and cubic models of Y as function of L, W, and LW were BASIC AREAS Article

Plot size and number of repetitions in vetch

). Each trial was divided into 36 basic experimental units (BEU) of 1 m × 1 m, totaling 1,728 BEU. In each BEU, the fresh matter was weighed. The optimum plot size was determined by the method of maximum curvature of the coefficient of variation model. The means were compared among sowing densities by the Scott-Knott’s test. The number of repetitions — for experiments with completely randomized and randomized block designs, in scenarios of i treatments

Relações lineares entre caracteres de linho

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.