Sampling intensity and size to evaluate harvest losses in soybean crops

D. Lambrecht, A. D. Lúcio, T. N. Martin, Antonia B. S. Feldmann, Rogério P. Amaral, Iuri de O. Buligon, Thauan de C. Tolfo, M. Diel
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Abstract

ABSTRACT Proper sampling of grain losses during harvesting operations, with reliable and efficient sizing of sample, is necessary for an efficient adjustment of the harvester to avoid harvest losses. Thus, the objective of this study was to estimate sampling intensity and sample size for harvest loss evaluations in soybean crops. Sampling was carried out in five locations with soybean crops, evaluating three different harvesters. Harvest losses were measured using square wooden frames (50 × 50 cm), which were arranged on the ground longitudinally across the harvester header width after its passage; this process was repeated 25 times at each location. The greatest harvester header width in Location 1 enabled to simulate different sample sizes for this location (50 × 100, 50 × 150, 50 × 200, and 50 × 250 cm). Only one sample size (50 × 100 cm) was used for the simulations in the other locations. Sampling only half the harvester header width is recommended to estimate harvest losses when using 62-foot harvester header, whereas 12.5- and 17-foot harvester headers requires sampling across the entire harvester header width, with a semi-amplitude of the confidence interval of 20% of the mean for all harvesters.
评价大豆作物收获损失的采样强度和大小
摘要:在收获过程中,对谷物损失进行适当的采样,可靠有效地确定样品大小,是有效调整收获机以避免收获损失的必要条件。因此,本研究的目的是估计大豆作物收获损失评估的抽样强度和样本量。在五个种植大豆的地点进行了抽样,评估了三种不同的收割机。收获损失测量使用方形木架(50 × 50厘米),这些木架在收割机通过后纵向排列在地面上;这一过程在每个地点重复25次。位置1的最大收割机头宽能够模拟该位置的不同样本量(50 × 100、50 × 150、50 × 200和50 × 250 cm)。其他地点的模拟只使用一个样本量(50 × 100 cm)。使用62英尺收割机头时,建议仅对收割机头宽度的一半进行采样,而12.5英尺和17英尺收割机头则需要对整个收割机头宽度进行采样,半幅置信区间为所有收割机均值的20%。
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