Sample sizing for common bean traits in irrigated and non-irrigated conditions
DOI:
https://doi.org/10.5433/1679-0359.2022v43n5p2323Keywords:
Experimental precision, Phaseolus vulgaris, ResamplingAbstract
The use of statistical methods to evaluate plant growth and production is crucial for the technological advancement of common bean. The aim of this study was to determine the sample size necessary to estimate the mean of traits evaluated in different cultivars and irrigation conditions. Data were collected fortnightly from two 3 × 2 factorial experiments (three cultivars: Triunfo, Garapiá, and FC104; two irrigation regimes: irrigated and non-irrigated). Eighteen traits were evaluated (height, stem diameter, number of nodes, root length, shoot and root fresh and dry weights, leaf temperature, leaf area, number of nodules, nodule fresh and dry weights, number of pods, pod length, grains per pod, grains per plant, and grain dry weight). The sample size was determined using the bootstrapping resampling method from 2,000 resamplings, and was defined as the number of plants at which the 95% confidence interval was 10% to 40% of the estimate of the mean. As a result, the sample size differs between traits and between the cultivars and irrigation conditions tested. In the 95% confidence interval with a standard error of 40% of the estimate of the mean, to evaluate all analyzed traits, 44 plants are needed for the shoot traits, 132 for the root traits, and 12 for the yield traits. To analyze the 18 studie0d traits, 132 plants are required.
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