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首页> 外文期刊>South African Journal of Plant and Soil >A comparison of experimental designs for cultivar evaluations
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A comparison of experimental designs for cultivar evaluations

机译:品种评估实验设计的比较

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摘要

Spatial heterogeneity and the lack of clear or significant treatment responses in agricultural field experiments complicates recommending the most suitable cultivar(s) to producers for a specific area. Increased attention should be given to the experimental design of cultivar trials, as failure to capture spatial heterogeneity may increase the unexplained variance and thus might influence the accuracy of results. A randomised complete block design (RCBD) is the most popular design in variety trials in South Africa. However, Latinised row-column designs (LRCD) is widely recommended in literature for field experimentation because of the efficiency to control heterogeneity in two dimensions. The aim of this study was to compare the efficiency of RBCD with LRCD and recommend the more appropriate design for use by practitioners in cultivar trials. Wheat (Triticum aestivum) was used as a test crop. An analysis of variance was performed on the data produced from both designs conducted on wheat over a two-year period in the Swartland region of South Africa. An LRCD provided better accuracy and model or design estimations than RCBD. The results demonstrated the value of eliminating variance in two dimensions rather than one dimension. We therefore recommend the use of LRCD in preference to RCBD in variety trials.
机译:空间异质性和农业领域实验中缺乏清晰或显着的治疗反应使将最合适的品种推荐给特定区域的生产者。应提高注意品种试验的实验设计,因为捕获空间异质性失败可能会增加未解释的方差,因此可能影响结果的准确性。随机完整的块设计(RCBD)是南非各种试验中最受欢迎的设计。然而,由于效率控制了两维的效率,在文献中被广泛推荐在文献中被广泛推荐出来的。本研究的目的是将RBCD与LRCD的效率进行比较,并推荐更合适的设计,以供从业者在品种试验中使用。小麦(Triticum aestivum)用作测试作物。对南非Swartland地区的两年期间,对小麦开展的两家设计产生的数据进行了分析。 LRCD提供比RCBD更好的准确性和模型或设计估算。结果表明了消除两个维度方差而不是一个维度的值。因此,我们建议使用LRCD优先于各种试验中的RCBD。

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