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When doing greenhouse tests with soy, what is a commonly accepted amount of replicates? 


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When conducting greenhouse tests with soybeans, the optimal number of replicates commonly accepted varies depending on the specific study. Studies have shown that for soybean performance trials, using three replications is generally considered sufficient to achieve selection reliability and reduce costs in all macroregions . However, in experiments evaluating the effect of increasing levels of soil liming on Heterodera glycines populations on soybean roots, the number of replications ranged from six to assess the impact of different liming doses . Additionally, in trials with a large number of soybean genotypes, it was found that using two repetitions can provide adequate selective accuracy when analyzing the data using the randomized complete block design or the Papadakis method .

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In greenhouse tests with soy, a commonly accepted amount of replicates is six, as mentioned in the study evaluating the effect of increasing lime doses on Heterodera glycines population.
For trials with a large number of soybean genotypes, using two replicates is recommended for greenhouse tests to achieve high experimental precision and selective accuracy.
In soybean performance tests, noncontiguous replications are effective, requiring no more effort or space than contiguous replications, making them a useful alternative with spatial separation to minimize local hazards.
The optimal number of replications for soybean yield trials in Brazil is 3, which is considered sufficient for selection reliability and cost reduction in all macroregions.

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