Experimental plan for tests with pea

Abstract

Correct experimental planning is important to obtain more reliable data with high experimental precision. In this way, the results obtained and the technical recommendations generated are more reliable and representative. Thus, the objective of this work is to estimate the plot and sample sizes and the number of repetitions for the variables (a) number of pods per plant and (b) mass of pods per plant for pea (Pisum sativum L.) cultivation. Uniformity tests were carried in the years 2016, 2017, and 2018 in the experimental area of the Crop Science Department at Federal University of Santa Maria. The cultivar used was Pea Grain 40, which has an indeterminate growth habit, with a cycle of 75-90 d and a cylindrical pod. The plot size for evaluating the number of pods per plant and the mass of pods per plant for pea cultivation is eight and nine plants, respectively. The sample size for evaluating the number of pods per plant and the mass of pods per plant is eight plants in the direction of the line with a half-width of the 20% confidence interval of the mean. For the variables number of pods per plant and pod mass per pea plant, 10 and 12 repetitions are required, respectively, to evaluate up to 20 treatments in a randomized block design and in the incomplete blocks design with up to 100 treatments for significant differences of 35% between treatment averages. INTRODUCTIONThe pea (Pisum sativum L.) is an annual herbaceous legume, with cultivars classified as being of determined and indeterminate growth. Cultivars that show indeterminate growth are used for edible pods production, whereas cultivars with determined growth are used for grain production (Filgueira, 2008). Worldwide, in 2018, the production of dry pea occupied 7.88 million ha of cultivated area, with a production of 13.53 million tons; the largest producers are Europe (38.8%), North and South America (33.6%), Asia (20.5%

Onion culture: experimental techniques for carrying out high precision experiments

“…In addition, due to the heteroscedasticity of the cultivation rows, a randomized block design, with each row, a block is recommended. This was seen and recommended by researchers working with other cultures such as Capsicum annuum (Lorentz and Lúcio 2009), Pisum sativum (Tartaglia et al 2021), Solanum lycopersicum (Lúcio et al 2016), Solanum melongena (Krysczun et al 2018) and Cucumis sativus (Lúcio et al 2020).…”

“…These concepts guide the researcher to plan, execute, analyse the data obtained and interpret the results of experiments correctly. The experimental planning phase is one of the fundamental steps for the success of the experiment, as it is essential that the data obtained in the experiments be a reflection of the effect of the tested treatments (Krysczun et al 2018;Lúcio et al 2020;Tartaglia et al 2021).…”

“…The number of repetitions per treatment, https://doi.org/10.1590/ 1678-4499.20210258 adequate sample and plot sizes, and choice of experimental design that controls variability are all important factors that minimize experimental error and provide greater experimental precision. In addition, there are practical advantages in reducing the working time, labor and cost necessary to carry out the experiment (Tartaglia et al 2021).…”

“…The shape and size of the plot and the number of repetitions needed in an experiment are important in order to identify significant differences between treatment (Silva 2014 2 ; Storck et al 2011;Tartaglia et al 2021). The size of the plot depends on the experimental material, the number of treatments, the area, the cost and the labor available (Lúcio and Sari 2017).…”

“…The size of the plot depends on the experimental material, the number of treatments, the area, the cost and the labor available (Lúcio and Sari 2017). The greater the number of repetitions, the lower the residual variance of the treatments and, consequently, the lower the mean square of the error (Lúcio and Sari 2017;Tartaglia et al 2021).…”