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Establishment of a Rice Tiller Number Prediction Model Using Soil Compaction and Days After Transplanting

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DataCite Commons2024-05-14 更新2024-07-03 收录
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Soil compaction has a real effect on rice growth in the Mekong Delta. The correlation between soil compaction and rice growth (tiller number and plant height) in a paddy field in An Giang province was evaluated in the 2020 Winter-Spring and Summer-Autumn crops using the Pearson's correlation test. The research results show that soil compaction 0-20 cm from the soil surface has a positive correlation with rice tiller number, while the effect on plant height is non-significant. Therefore, a prediction model for rice tiller numbers is constructed using the Curve Fitting application in Matlab software. The obtained prediction models can effectively predict the number of rice tillers from the value of the 0-20 cm soil layer compaction at times under 40 DAT in the two studied crops. This study provides the optimal value of soil compaction (about 229.8 and 337.6 kPa in these crops), which can aid in the utilization of soil tillage for paddy rice cultivation by farmers.

土壤紧实度对湄公河三角洲的水稻生长存在切实影响。本研究于2020年冬春茬与夏秋茬作物季,针对安江省某稻田的土壤紧实度与水稻生长指标(分蘖数、株高)的相关性开展皮尔逊相关检验(Pearson's correlation test)。研究结果显示,距地表0-20 cm土层的土壤紧实度与水稻分蘖数呈正相关,但对株高的影响并不显著。据此,本研究借助Matlab软件的曲线拟合(Curve Fitting)应用模块构建了水稻分蘖数预测模型。所构建的预测模型可在两季供试作物移栽后40天(Days After Transplanting,简称DAT)内,通过0-20 cm土层的紧实度值有效预测水稻分蘖数。本研究还确定了供试作物的最优土壤紧实度值(两季分别约为229.8 kPa与337.6 kPa),可为农户开展水稻种植的土壤耕作作业提供参考依据。

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2024-05-14
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