牧草小麦的小区大小和重复次数

Pub Date : 2023-03-01 DOI:10.1590/1983-21252023v36n125rc
V. Bubans, A. Cargnelutti Filho, I. Neu, D. L. Silveira, F. M. Somavilla, B. F. Osmari
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引用次数: 0

摘要

摘要饲料小麦(Triticum aestivum L.)是巴西南部生产系统中的一种一年生作物,可在冬季作为地被作物使用。鉴于其规模,进行了实地实验研究,地块大小的定义在实验设计中具有重要意义。本研究的目的是估计地块大小和重复次数,以评估饲料小麦的新鲜物质,并调查地块大小在农业年份、播种日期和品种之间的变异性。进行了36次均匀性试验(2个农业年份×3个播种日期×2个品种×3次重复)。用变异系数模型的最大曲率法确定图块大小。在由i个治疗(i=3,4,…,50)和d个治疗手段之间的最小显著差异的组合形成的场景中,在完全随机和随机化的组块设计中,重复次数被确定为通过Tukey检验检测为显著的,显著性为5%,表示为实验总平均值的百分比(d=5%,10%,…,30%)。评价牧草小麦新鲜物质的小区面积为4.05平方米。在完全随机设计和最多50次治疗的随机分组设计中,七次重复足以识别新鲜物质,从而有可能获得低于或等于实验平均值20%的最小显著差异。
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Plot size and number of repetitions in forage wheat
ABSTRACT Forage wheat (Triticum aestivum L.) is an annual crop, alternative for use as a ground cover crop in the winter period, in production systems in southern Brazil. Given its magnitude, research with field experiments is carried out and plot size definition is of great importance in the experimental design. The objectives of this study were to estimate the plot size and number of repetitions to evaluate the fresh matter of forage wheat and to investigate the variability of plot size among agricultural years, sowing dates and cultivars. Thirty-six uniformity trials were conducted (two agricultural years × three sowing dates × two cultivars × three repetitions). Plot size was determined by the method of maximum curvature of the coefficient of variation model. The number of repetitions was determined for experiments in completely randomized and randomized block designs in scenarios formed by the combinations of i treatments (i=3, 4, …, 50) and d least significant differences among treatment means to be detected as significant by the Tukey test, at 5% of significance, expressed as a percentage of the overall mean of the experiment (d=5%, 10%, …, 30%). The plot size to evaluate the fresh matter of forage wheat is 4.05 m2. Seven repetitions are sufficient to identify the fresh matter in completely randomized designs and randomized block designs with up to 50 treatments, making it possible to obtain least significant difference lower than or equal to 20% of the mean of the experiment.
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