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Experimental plan for single, double and triple hybrid corn.

机译:单粒,双粒和三粒杂交玉米的试验计划。

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The aim of this study is to determine optimal plot size and the number of uniformity trials required to estimate optimal plot size to evaluate cob mass in different corn hybrids. Data on the mass of corn cobs was used from 16 uniformity trials for the single hybrid (P32R21), 16 for the triple hybrid (DKB566) and 16 for the double hybrid (DKB747). Each uniformity trial consisted of four rows, each six meters long, divided into basic units of one linear meter. The 48 uniformity trials were randomized within the same experimental area. For each uniformity trial, six plot sizes (X) were designed using the sum of adjacent basic units, and the mean, variance and coefficient of variation (CV) were calculated among plots of the same size. CV regression models were adjusted as a function of X, and the optimal plot size estimated. The 16 estimates (16 uniformity trials) for each hybrid were used to estimate the number of uniformity trials required for the experimental area, using the visual jackknife resampling approach. The optimal plot size for evaluating corn cob mass is a row five meters long, a size which does not differ between hybrids. The number of uniformity trials (four rows of six meters) required for estimating cob mass and optimal plot size is six, equivalent to 12.5% of the experimental area.
机译:这项研究的目的是确定最佳地块大小和估计最佳地块大小以评估不同玉米杂交种穗轴质量所需的均匀性试验次数。玉米芯质量数据来自16个单一杂种(P32R21)均匀性试验,16个三重杂种(DKB566)和16个双重杂种(DKB747)均匀性试验。每个均匀性试验由四行组成,每行六米长,分为一线性米的基本单位。在同一实验区域内将48项均匀性试验随机分组。对于每个均一性试验,使用相邻基本单位的总和设计六个样地大小(X),并在相同大小的样地中计算平均值,方差和变异系数(CV)。将CV回归模型调整为X的函数,并估计最佳样地大小。使用视觉折刀重采样方法,每个杂种的16个估计(16个均匀性试验)用于估计实验区域所需的均匀性试验次数。评估玉米芯质量的最佳样地大小是一排五米长,在杂种间大小不变。估计芯棒质量和最佳样区大小所需的均匀性试验(四行六米)数量为6,相当于实验面积的12.5%。

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