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基于多维度指标的小麦种子田间分布质量评价方法研究OA北大核心CSTPCD

Evaluation of field distribution quality of wheat seeds based on multidimensional indicators

中文摘要英文摘要

[目的]精确播种技术是创建作物合理群体、保障作物增产丰产的重要技术途径.针对精确播种质量的测试评价方法仍然十分缺乏,尤其缺少种子在田间分布质量评价以及精确播种质量与作物出苗率、产量及构成因素间响应关系的定量研究.[方法]以原位激光种子位测试仪、3D数字化和Python等信息技术构建一套基于多维度指标的精确播种质量评价方法,其指标包含一维评价指标(种子直线度)、二维评价指标(种子散布度)、三维评价指标(种-土均质营养利用率);后使用小区精密播种试验台架开展了为期2年的稻茬麦精确播种试验,采用播种行距20 cm,播种粒距×播种深度相组合的9种处理,即1.5 cm×2 cm(A1B1)、1.5 cm×3 cm(A1B2)、1.5 cm×6 cm(A1B3)、3 cm×2 cm(A2B1)、3 cm×3 cm(A2B2)、3 cm×6 cm(A2B3)、4.5 cm×2 cm(A3B1)、4.5 cm×3 cm(A3B2)、4.5 cm×6 cm(A3B3),用于该精确播种质量评价新方法的验证.[结果]2年度种子直线度在A2B3处理较优,其变异系数δ分别为28.63%、32.67%;2年度种子散布度在A2B1处理较优,其变异系数γ分别为28.17%、30.14%;种-土均质营养利用率在A2B1处理(2021-2022年)取得最大值,为91.33%.种-土均质营养利用率与作物出苗率、单株产量、单株总结实粒数、千粒质量之间均在0.01水平显著相关.[结论]基于种子直线度、种子散布度、种-土均质营养利用率等多维度指标构建的精确播种质量综合评价方法,可准确解析播后种子在田间的分布质量,同时种-土均质营养率与作物出苗率、单株产量及产量构成因素之间的响应关系分析方法,也有利于建立精确播种技术与作物生长之间的联系并促进农机-农艺融合发展.

[Objective]Precision seeding technology is one of the key ways to achieve reasonable crop group and ensure the increase of crop yield.However,there is a lack of the methods for testing and evaluating the precision of seeding quality as well as the methods of quantitatively evaluating the spatial distribution of post-sowing seeds in soil volume,and the response of crop emergence rate,yield,and its components to different precision sowing technologies.[Method]A precise seeding quality evaluation method based on multi-dimensional indicators was constructed using information technologies such as in-situ laser seed position tester,3D digitization,and Python.The indicators included one-dimensional evaluation indicators(seed straightness),two-dimensional evaluation indicators(seed dispersion),and three-dimensional evaluation indicators(seed homogeneous nutrient utilization rate).Afterwards,a 2-year precision sowing experiment on wheat was conducted using a precision sowing test bench in a residential area.Nine treatments were used,including a row spacing of 20 cm,and a combination of seed spacing×sowing depth of 1.5 cm×2 cm(A1B1),1.5 cm×3 cm(A1B2),1.5 cm×6 cm(A1B3),3 cm×2 cm(A2B1),3 cm×3 cm(A2B2),3 cm×6 cm(A2B3),4.5 cm×2 cm(A3B1),4.5 cm×3 cm(A3B2),and 4.5 cm×6 cm(A3B3).This experiment was conducted to verify the quality evaluation method of this sowing.[Result]The experimental results showed that the seed straightness was better in the A2B3 treatment for 2 years,with coefficients of variation of 28.63%and 32.67%,respectively;The seed dispersion was better in the A2B1 treatment for 2 years,with coefficients of variation of 28.17%and 30.14%,respectively;The seed homogeneous nutrient utilization rate reached its maximum value of 91.33%in A2B1 treatment(2021-2022).There was a significant correlation at the 0.01 level between the seed homogeneous nutrient utilization rate and crop emergence rate,yield per plant,total number of grains per plant,and thousand grain weight.[Conclusion]A precise comprehensive evaluation method for seeding quality based on multi-dimensional indicators such as seed straightness,seed dispersion,and seed homogeneous nutrient utilization rate can accurately analyze the distribution quality of seeds in the field after sowing.In addition,the analysis method of the response relationship between seed-soil homogeneous nutrition rate and crop emergence rate,yield per plant and yield components is also conducive to establishing the relationship between precise seeding technology and crop growth and promoting the integrated development of agricultural machinery and agronomy.

丁启朔;付琳倩;汪小旵;何瑞银;徐高明

南京农业大学 工学院/江苏省智能化农业装备重点实验室,江苏 南京 210031

农业科学

小麦精确播种评价方法多维度指标种子分布作物生长

wheatprecision seedingassessment methodmultidimensional indicatorsdistribution of seedcrop growth

《江西农业大学学报》 2024 (004)

841-855 / 15

国家重点研发计划项目(2022YFD2300304)Project supported by National Key Research and Development Program of China(2022YFD2300304)

10.3724/aauj.2024075

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