Measurements and predictions of seedling emergence forces

IF 4.4 1区 农林科学 Q1 AGRICULTURAL ENGINEERING
Kobby Acquah, Ying Chen
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Abstract

Quantifying seedling emergence pressure or forces (soil impedance to seedling) during the process of plant emergence is difficult in a practical setting. In this study, a mechanical seedling testing device was designed and calibrated to measure seedling emergence pressures experienced by conical or spherical mechanical seedling in soil with varying compaction levels. The data were analysed to generate regression models for predicting seedling emergence forces. Results showed a high correlation between the seedling emergence pressure and soil resistance. The resultant regression model produced a coefficient of determination (R2) of 0.99. After incorporating the morphological characteristics of soybean cotyledon and maize coleoptile into the model, the predicted seedling emergence forces increased with the soil compaction level. During the emergence process, average emergence force of the soybean seedlings was 11.8 N for the lowest compaction level and 28.5 N for the highest compaction level, and the corresponding values of the maize seedlings were 0.2 N and 0.6 N. In a non-compacted field plot, maize crop had a 95.4% emergence rate and soybean crop had 97.2%, whereas for a compacted plot, the corresponding emergence rates were decreased to 19.1% and 60.5%. Inferences made from the study provide information on the dynamics of soil-seedling interaction, which have important implications for managing soil compaction in crop production.

秧苗萌发力的测量和预测
在实际环境中,很难量化植物出苗过程中的出苗压力或力(土壤对幼苗的阻力)。在这项研究中,设计并校准了一种机械秧苗测试装置,用于测量锥形或球形机械秧苗在不同压实度土壤中承受的秧苗萌发压力。通过对数据进行分析,生成了预测秧苗萌发力的回归模型。结果表明,秧苗萌发压力与土壤阻力之间存在高度相关性。由此产生的回归模型的判定系数 (R2) 为 0.99。将大豆子叶和玉米小叶的形态特征纳入模型后,预测的出苗力随土壤压实程度的增加而增加。在出苗过程中,压实度最低时大豆幼苗的平均出苗力为 11.8 N,压实度最高时为 28.5 N,玉米幼苗的相应值分别为 0.2 N 和 0.6 N。这项研究提供了土壤与幼苗相互作用的动态信息,对作物生产中的土壤压实管理具有重要意义。
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来源期刊
Biosystems Engineering
Biosystems Engineering 农林科学-农业工程
CiteScore
10.60
自引率
7.80%
发文量
239
审稿时长
53 days
期刊介绍: Biosystems Engineering publishes research in engineering and the physical sciences that represent advances in understanding or modelling of the performance of biological systems for sustainable developments in land use and the environment, agriculture and amenity, bioproduction processes and the food chain. The subject matter of the journal reflects the wide range and interdisciplinary nature of research in engineering for biological systems.
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