HU Qiongjuan,ZHENG Ming.Study on the Convelation Between Soil Environment of "Dry Sowing and Wet Germination" and Cotton Emergence Rate in Southern Xinjiang[J].HEILONGJIANG AGRICULTURAL SCIENCES,2023,(10):6-12.[doi:10.11942/j.issn1002-2767.2023.10.0006]
南疆棉田“干播湿出”的土壤生境指标与棉花出苗率的相关性研究
- Title:
- Study on the Convelation Between Soil Environment of "Dry Sowing and Wet Germination" and Cotton Emergence Rate in Southern Xinjiang
- 文章编号:
- 2
- Keywords:
- Xijiang; cotton; soil temperature accumulation; water content; soil compaction; "dry sowing and wet germination"
- 文献标志码:
- A
- 摘要:
- 为探究“干播湿出”条件下棉花出苗与土壤生境之间的关系，调查了南疆沙雅县34个“干播湿出”棉田土壤水热气与出苗数据，运用偏相关方法分析了出苗率与土壤积温、土壤含水率、电导率及土壤板结度之间的相关关系，明确各因素对出苗率的影响程度，建立了基于土壤积温、土壤含水率与土壤板结度下的棉花出苗率综合预测模型。结果表明，土壤生境与出苗率的相关关系为土壤含水率<土壤板结度<土壤电导率<土壤积温<昼夜最大温差。土壤板结度、土壤电导率、土壤积温与出苗呈现线性关系，含水率与出苗率呈现二次函数关系，其中出苗期土壤含水率为19.03%时出苗率最高。建立两种出苗率与土壤板结度、土壤积温及含水率的多元非线性模型，优选其中一种模型预测棉花出苗，土壤积温对出苗率敏感性最大，土壤含水率与土壤板结度敏感性次之。单因素与综合因素出苗率预测模型的精度均符合模拟精度要求，但综合因素的多元非线性模型模拟精度优于其他3个单因素模型。综上，可以使用建立的多元非线性模型指导南疆“干播湿出”棉田的实际生产。
- Abstract:
- In order to explore the relationship between cotton seedling emergence and soil environment under "dry sowing and wet germination" conditions， the soil hydrothermal gas and seedling emergence data of 34 cotton fields under "dry sowing and wet germination" in Shaya County， South Xinjiang were investigated， and analyzed the correlation between seedling emergence rate and soil temperature， soil water content， electrical conductivity and soil compactness by using partial correlation method to clarify the degree of influence of each factor on seedling emergence rate， and established a comprehensive prediction model for cotton seedling emergence rate based on soil temperature， soil water content and soil compactness. A comprehensive model for predicting cotton seedling emergence based on soil temperature， soil water content and soil consolidation was established. The results showed that the correlation between soil habitat and seedling emergence rate was as follows: soil water content < soil bulkiness < soil electrical conductivity < soil temperature < maximum diurnal temperature difference. Soil slump，soil electrical conductiving, soil temperature and seedling emergence showed a linear relationship， and water content and seedling emergence showed a quadratic function relationship， the soil moisture content during the seedling stage was 1903%， with the highest seedling rate. Two multivariate nonlinear models were developed for seedling emergence with soil bulkiness， soil cumulative temperature and water content， and one of the models was selected to predict cotton seedling emergence， with soil cumulative temperature being the most sensitive to seedling emergence and soil water content and soil bulkiness being the second most sensitive.The accuracy of both the single factor model and the comprehensive factor prediction model were complex to the simulation accuracy requirements, but the multivariate nonlinear model of the comprehensive factor was superior to the other three single factor models. In conclusion, the established multivariate nonlinear model can be used to guide the actual production of "dry sowing and wet germination" cotton fields in Southern Xinjiang.
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备注/Memo
收稿日期：2023-04-19