CN113435640B - A method for predicting in situ EC of soil in different plough layers in the main growth period of rice in soda saline-alkali land - Google Patents
A method for predicting in situ EC of soil in different plough layers in the main growth period of rice in soda saline-alkali land Download PDFInfo
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Abstract
Description
技术领域technical field
本发明涉及一种预测苏打盐碱土壤指标的方法。The invention relates to a method for predicting the index of soda saline-alkali soil.
背景技术Background technique
松嫩平原是世界三大苏打盐碱地集中分布区之一,苏打盐碱土壤成分以NaHCO3与Na2CO3为主,pH多在8.5以上,呈强碱性,碱化度高达70%以上,理化性质恶劣,治理难度大、时间长、见效慢。实践证明,开发种稻是苏打盐碱地边改良边利用的有效方式。土壤电导率(EC)是测定土壤水溶性盐的指标,判断苏打盐碱土壤轻重程度的重要参考。同时,水稻不同耕层土壤EC是判定苏打盐碱土中盐类离子是否限制水稻生长,影响矿质营养吸收利用的重要因素。因此,对苏打盐碱地水稻主要生育期不同耕层土壤盐分的监测是必不可少的措施。长期以来,盐碱土壤耕层EC测定多为土壤取样风干后配置土壤浸提液进行室内测定,随着技术的发展,土壤原位EC计作为一种便携式土壤盐分测定仪器广泛应用。在原位EC计使用测试之前,首先需要用研磨布清洁土壤原位EC计的金属探头表面,以防影响其测量精度。在用于测定不同耕层土壤EC时,在测定完一个耕层深度土壤原位EC后,需及时将EC计金属探头表面土壤清洁干净,用蒸馏水冲洗后再测定其他深度土壤原位EC。但由于苏打盐碱地土壤理化性质恶劣,粘重的土壤均粘在探头表面,清洗过程费事费力,苏打盐碱地水稻主要生育期不同耕层土壤原位EC的快速准确获取存在一定困难。The Songnen Plain is one of the three concentrated distribution areas of the world's three major soda-alkali soils. The soda-alkali soils are mainly composed of NaHCO 3 and Na 2 CO 3 . The pH is mostly above 8.5, which is strongly alkaline and the degree of alkalinity is as high as 70%. The physical and chemical properties are bad, the governance is difficult, the time is long, and the effect is slow. Practice has proved that developing rice cultivation is an effective way to improve and utilize soda saline-alkali land. Soil conductivity (EC) is an index to measure soil water-soluble salts and an important reference for judging the severity of soda saline-alkali soil. At the same time, soil EC in different plough layers of rice is an important factor to determine whether salt ions in soda saline-alkali soil limit rice growth and affect the absorption and utilization of mineral nutrients. Therefore, the monitoring of soil salinity in different plough layers in the main growth period of rice in soda saline-alkali land is an essential measure. For a long time, the EC measurement of the saline-alkali soil plough layer is mostly indoor measurement after soil sampling and air-drying with soil extract. With the development of technology, soil in-situ EC meter is widely used as a portable soil salinity measurement instrument. Before the in-situ EC meter is used for testing, it is necessary to clean the surface of the metal probe of the soil in-situ EC meter with an abrasive cloth to prevent its measurement accuracy from being affected. When used to measure soil EC of different plough layers, after measuring the in situ EC of soil in one plough layer depth, it is necessary to clean the soil on the surface of the metal probe of the EC meter in time, rinse with distilled water, and then measure the in situ EC of other depths of soil. However, due to the poor physical and chemical properties of the soil in the soda saline-alkali land, the heavy soil sticks to the surface of the probe, and the cleaning process is laborious and laborious. It is difficult to quickly and accurately obtain the in-situ EC of the soil in the main growth period of rice in the soda saline-alkali land.
发明内容SUMMARY OF THE INVENTION
本发明的目的是为了解决快速准确获取苏打盐碱地水稻主要生育期不同耕层土壤原位EC费事费力的技术问题,提供了一种预测苏打盐碱地水稻主要生育期不同耕层土壤原位EC的方法。The purpose of the present invention is to solve the technical problem that it is time-consuming and laborious to quickly and accurately obtain the in-situ EC of the soil in different plough layers in the main growth period of rice in the soda saline-alkali land, and provides a method for predicting the in-situ EC of the soil in different plough layers in the main growth period of rice in the soda saline-alkali land.
预测苏打盐碱地水稻主要生育期不同耕层EC的方法按照以下步骤进行:The method of predicting the EC of different plough layers in the main growth period of rice in soda saline-alkali land is carried out according to the following steps:
一、用研磨布清洁土壤原位EC计的金属探头表面后,用土壤原位EC计标准液校正探头精度;1. After cleaning the metal probe surface of the soil in-situ EC meter with abrasive cloth, calibrate the probe accuracy with the soil in-situ EC meter standard solution;
二、在苏打盐碱地水稻返青期、分蘖期、拔节期、孕穗期、抽穗期、扬花期和乳熟期,将土壤原位EC计的金属探头垂直顺时针插入稻田耕层土壤中,插入土壤5cm深度时停止,使土壤与探头金属表面完全均匀接触,响应时间为10-20秒,仪器所显示的数字,即为返青期、分蘖期、拔节期、孕穗期、抽穗期、扬花期和乳熟期的5cm耕层土壤EC测量值;2. Insert the metal probe of the soil in-situ EC meter vertically and clockwise into the soil of the plough layer of the paddy field, and insert the soil 5cm Stop at the depth to make the soil contact with the metal surface of the probe completely and evenly. The response time is 10-20 seconds. The numbers displayed by the instrument are the greening stage, the tillering stage, the jointing stage, the booting stage, the heading stage, the flowering stage and the milk ripening stage. The EC measurement value of the 5cm plough layer soil during the period;
三、将步骤二所得返青期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(1):3. Substitute the in-situ EC measurement value of the 5cm plough layer soil obtained in step 2 into the EC regression prediction equation (1) as the x value:
Y=-0.001x3+0.04x2+0.62x+0.681,R2=0.965(1),即得返青期的10cm耕层土壤原位EC;Y=-0.001x 3 +0.04x 2 +0.62x+0.681, R 2 =0.965(1), that is, the in-situ EC of the 10cm topsoil soil in the greening period is obtained;
将步骤二所得返青期的5cm耕层土壤EC测量值作为x值代入EC回归预测方程(2):Substitute the EC measurement value of the 5cm plough layer soil obtained in step 2 into the EC regression prediction equation (2) as the x value:
Y=-0.001x3+0.033x2+0.700x+0.748,R2=0.927(2),即得返青期的15cm耕层土壤原位EC;Y=-0.001x 3 +0.033x 2 +0.700x+0.748, R 2 =0.927(2), that is, the in-situ EC of the 15cm ploughed soil in the greening period is obtained;
将步骤二所得返青期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(3):Substitute the in-situ EC measurement value of the 5cm plough layer soil obtained in step 2 into the EC regression prediction equation (3) as the x value:
Y=-0.001x3+0.005x2+1.052x+0.324,R2=0.914(3),即得返青期的20cm耕层土壤原位EC;Y=-0.001x 3 +0.005x 2 +1.052x+0.324, R 2 =0.914(3), that is, the in-situ EC of the 20cm ploughed soil in the greening period is obtained;
四、将步骤二所得分蘖期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(4):4. Substitute the in-situ EC measurement value of the 5cm tiller soil obtained in step 2 into the EC regression prediction equation (4) as the x value:
Y=3.953E-05x3-0.014x2+1.272x-0.910,R2=0.992(4),即得分蘖期的10cm耕层土壤原位EC;Y=3.953E-05x 3 -0.014x 2 +1.272x-0.910, R 2 =0.992(4), that is, the in-situ EC of the 10cm ploughed soil in the tiller stage;
将步骤二所得分蘖期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(5):Substitute the in-situ EC measurement value of the 5cm tiller soil soil obtained in step 2 as the x value into the EC regression prediction equation (5):
Y=0.980x0 . 993,R2=0.916(5),即得分蘖期的15cm耕层土壤原位EC;Y = 0.980× 0.993 , R 2 =0.916(5), that is, the in-situ EC of the 15cm ploughed soil in the tiller stage;
将步骤二所得分蘖期的5cm耕层土壤EC原位测量值作为x值代入EC回归预测方程(6):The in situ measurement value of soil EC at the tillering stage of 5cm obtained in step 2 was used as the x value and substituted into the EC regression prediction equation (6):
Y=3.755E-05x3-0.013x2+1.191x-0.159,R2=0.979(6),即得分蘖期的20cm耕层土壤原位EC;Y=3.755E-05x 3 -0.013x 2 +1.191x-0.159, R 2 =0.979(6), that is, the in-situ EC of the 20cm ploughed soil in the tiller stage;
五、将步骤二所得拔节期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(7):5. Substitute the in-situ EC measurement value of the 5cm plough layer soil obtained in step 2 into the EC regression prediction equation (7) as the x value:
Y=0.065x3+0.508x2–0.521x+1.882,R2=0.488(7),即得拔节期的10cm耕层土壤原位EC;Y=0.065x 3 +0.508x 2 -0.521x+1.882, R 2 =0.488(7), that is, the in-situ EC of the 10cm ploughed soil at the jointing stage;
将步骤二所得拔节期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(8):Substitute the in-situ EC measurement value of the 5cm tillage soil obtained in step 2 into the EC regression prediction equation (8) as the x value:
Y=-0.027x3+0.161x2+0.190x+1.916,R2=0.131(8),即得拔节期的15cm耕层土壤原位EC;Y=-0.027x 3 +0.161x 2 +0.190x+1.916, R 2 =0.131(8), that is, the in-situ EC of the 15cm ploughed soil at the jointing stage;
将步骤二所得拔节期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(9):Substitute the in-situ EC measurement value of the 5cm tillage soil obtained in step 2 into the EC regression prediction equation (9) as the x value:
Y=0.057x3-0.546x2+2.495x-0.817,R2=0.031(9),即得拔节期的20cm耕层土壤原位EC;Y=0.057x 3 -0.546x 2 +2.495x-0.817, R 2 =0.031(9), that is, the in-situ EC of the 20cm ploughed soil at the jointing stage;
六、将步骤二所得孕穗期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(10):6. Substitute the in-situ EC measurement value of the 5cm tillage soil obtained in step 2 into the EC regression prediction equation (10) as the x value:
Y=0.005x3-0.135x2+0.853x+2.021,R2=0.590(10),即得孕穗期的10cm耕层土壤原位EC;Y=0.005x 3 -0.135x 2 +0.853x+2.021, R 2 =0.590(10), that is, the in-situ EC of the 10cm topsoil soil at the booting stage was obtained;
将步骤二所得孕穗期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(11):Substitute the in-situ EC measurement value of the 5cm tillage soil obtained in step 2 into the EC regression prediction equation (11) as the x value:
Y=2.105x0 . 434,R2=0.158(11),即得孕穗期的15cm耕层土壤原位EC;Y = 2.105x 0.434 , R 2 =0.158(11), that is, the in-situ EC of the 15cm topsoil soil at the booting stage was obtained;
将步骤二所得孕穗期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(12):Substitute the in-situ EC measurement value of the 5cm tillage soil obtained in step 2 into the EC regression prediction equation (12) as the x value:
Y=0.314x3–3.076x2+9.856x-6.375,R2=0.069(12),即得孕穗期的20cm耕层土壤原位EC;Y=0.314x 3 -3.076x 2 +9.856x-6.375, R 2 =0.069(12), that is, the in-situ EC of the 20cm topsoil soil at the booting stage was obtained;
七、将步骤二所得抽穗期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(13):7. Substitute the in-situ EC measurement value of the 5cm plough layer soil obtained in step 2 into the EC regression prediction equation (13) as the x value:
Y=-0.196x3+1.500x2-2.897x+3.786,R2=0.450(13),即得抽穗期的10cm耕层土壤原位EC;Y=-0.196x 3 +1.500x 2 -2.897x+3.786, R 2 =0.450(13), that is, the in-situ EC of the 10cm topsoil soil at the heading stage was obtained;
将步骤二所得抽穗期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(14):Substitute the in-situ EC measurement value of the 5cm ploughed soil obtained in step 2 into the EC regression prediction equation (14) as the x value:
Y=-0.353x3+2.287x2-3.978x+4.321,R2=0.188(14),即得抽穗期的15cm耕层土壤原位EC;Y=-0.353x 3 +2.287x 2 -3.978x+4.321, R 2 =0.188(14), that is, the in-situ EC of the 15cm topsoil soil at the heading stage was obtained;
将步骤二所得抽穗期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(15):Substitute the in-situ EC measurement value of the 5cm plough layer soil obtained in step 2 into the EC regression prediction equation (15) as the x value:
Y=-0.173x3+0.996x2-0.956x+2.611,R2=0.082(15),即得抽穗期的20cm耕层土壤原位EC;Y=-0.173x 3 +0.996x 2 -0.956x+2.611, R 2 =0.082(15), that is, the in-situ EC of the 20cm topsoil soil at the heading stage was obtained;
八、将步骤二所得扬花期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(16):8. Substitute the in-situ EC measurement value of the 5cm tillage soil obtained in step 2 into the EC regression prediction equation (16) as the x value:
Y=1.350x0 . 768,R2=0.598(16),即得扬花期的10cm耕层土壤原位EC;Y = 1.350x 0.768 , R 2 =0.598(16), that is, the in-situ EC of the 10cm ploughed soil in the flowering period was obtained;
将步骤二所得扬花期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(17):Substitute the in-situ EC measurement value of the 5cm ploughed soil obtained in step 2 into the EC regression prediction equation (17) as the x value:
Y=1.444x0 . 765,R2=0.433(17),即得扬花期的15cm耕层土壤原位EC;Y = 1.444x 0.765 , R 2 =0.433(17), that is, the in-situ EC of the 15cm ploughed soil in the flowering period was obtained;
将步骤二所得扬花期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(18):Substitute the in-situ EC measurement value of the 5cm ploughed soil obtained in step 2 into the EC regression prediction equation (18) as the x value:
Y=0.156x3-1.511x2+5.330x-2.902,R2=0.336(18),即得扬花期的20cm耕层土壤原位EC;Y=0.156x 3 -1.511x 2 +5.330x-2.902, R 2 =0.336(18), that is, the in-situ EC of the 20cm ploughed soil in the flowering period;
九、将步骤二所得乳熟期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(19):9. Substitute the in-situ EC measurement value of the 5cm tillage soil obtained in step 2 into the EC regression prediction equation (19) as the x value:
Y=-0.095x3+0.893x2-1.759x+3.150,R2=0.635(19),即得乳熟期的10cm耕层土壤原位EC;Y=-0.095x 3 +0.893x 2 -1.759x+3.150, R 2 =0.635 (19), that is, to obtain the in-situ EC of the 10cm ploughed soil at the milk maturity stage;
将步骤二所得乳熟期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(20):Substitute the in-situ EC measurement value of the 5cm tillage soil obtained in step 2 into the EC regression prediction equation (20) as the x value:
Y=-0.068x3+0.636x2-1.263x+3.383,R2=0.384(20),即得乳熟期的15cm耕层土壤原位EC;Y=-0.068x 3 +0.636x 2 -1.263x+3.383, R 2 =0.384(20), that is, the in-situ EC of the 15cm ploughed soil in the milk-maturing stage;
将步骤二所得乳熟期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(21):Substitute the in-situ EC measurement value of the 5cm tillage soil obtained in step 2 into the EC regression prediction equation (21) as the x value:
Y=-0.117x3+1.028x2-2.344x+4.725,R2=0.170(21),即得乳熟期的20cm耕层土壤原位EC。Y=-0.117x 3 +1.028x 2 -2.344x+4.725, R 2 =0.170 (21), that is, the in-situ EC of the 20cm ploughed soil at the milk maturity stage was obtained.
本发明的方法通过回归方程,可以基于水稻主要生育期的5cm耕层土壤原位EC,预测苏打盐碱地稻田相应主要生育期的10cm、15cm和20cm耕层土壤原位EC。The method of the invention can predict the in-situ EC of 10cm, 15cm and 20cm plough layer soil in the corresponding main growth period of soda saline-alkali paddy field based on the in situ EC of 5cm plough layer soil in the main growth period of rice through the regression equation.
本发明的测定方法省时省力,可以简单快速、科学准确的获取水稻主要生育期不同耕层土壤原位EC。The determination method of the present invention saves time and labor, and can simply, quickly, scientifically and accurately obtain the in-situ EC of the soil in different plough layers in the main growth period of rice.
附图说明Description of drawings
图1是实验一中苏打盐碱地水稻返青期10cm耕层土壤原位EC预测值与实测值相关性图;Fig. 1 is a graph showing the correlation between the predicted value of soil EC in situ and the measured value of the soil in the 10 cm ploughed layer in the soda saline-alkali land during the greening stage of rice in Experiment 1;
图2是实验一中苏打盐碱地水稻返青期15cm耕层土壤原位EC预测值与实测值相关性图;Fig. 2 is a graph showing the correlation between the predicted value and the measured value of the in situ EC predicted value of the 15cm topsoil soil in the soda saline-alkali land during the greening period of the rice in the first experiment;
图3是实验一中苏打盐碱地水稻返青期20cm耕层土壤原位EC预测值与实测值相关性图;Fig. 3 is the correlation diagram of in-situ EC predicted value and measured value of soil in 20cm ploughbed soil in soda saline-alkali land during the turning green period of rice in experiment one;
图4是实验二中苏打盐碱地水稻分蘖期10cm耕层土壤原位EC预测值与实测值相关性图;Fig. 4 is the correlation diagram of the predicted value of soil EC in situ and the measured value of the 10 cm tillering stage of soda saline-alkali soil rice in experiment 2;
图5是实验二中苏打盐碱地水稻分蘖期10cm耕层土壤原位EC预测值与实测值相关性图;Fig. 5 is the correlation diagram of the predicted value of soil EC in situ and the measured value of the 10 cm tillering stage of soda saline-alkali soil rice in experiment 2;
图6是实验二中苏打盐碱地水稻分蘖期10cm耕层土壤原位EC预测值与实测值相关性图。Figure 6 is the correlation diagram between the predicted value of EC in situ and the measured value of the soil in the 10 cm tillering stage of soda saline-alkali land in the second experiment.
具体实施方式Detailed ways
本发明技术方案不局限于以下所列举具体实施方式,还包括各具体实施方式间的任意组合。The technical solutions of the present invention are not limited to the specific embodiments listed below, but also include any combination of specific embodiments.
具体实施方式一:本实施方式中预测苏打盐碱地水稻主要生育期不同耕层土壤原位EC的方法按照以下步骤进行:Embodiment 1: In this embodiment, the method for predicting the in-situ EC of soil in different plough layers in the main growth period of rice in soda saline-alkali land is carried out according to the following steps:
一、用研磨布清洁土壤原位EC计的金属探头表面后,用土壤原位EC计标准液校正探头精度;1. After cleaning the metal probe surface of the soil in-situ EC meter with abrasive cloth, calibrate the probe accuracy with the soil in-situ EC meter standard solution;
二、在苏打盐碱地水稻返青期、分蘖期、拔节期、孕穗期、抽穗期、扬花期和乳熟期,将土壤原位EC计的金属探头垂直顺时针插入稻田耕层土壤中,插入土壤5cm深度时停止,使土壤与探头金属表面完全均匀接触,响应时间为10-20秒,仪器所显示的数字,即为返青期、分蘖期、拔节期、孕穗期、抽穗期、扬花期和乳熟期的5cm耕层土壤原位EC测量值;2. Insert the metal probe of the soil in-situ EC meter vertically and clockwise into the soil of the plough layer of the paddy field, and insert it into the soil 5cm Stop when the depth is deep, so that the soil and the metal surface of the probe are completely and evenly contacted. The response time is 10-20 seconds. The numbers displayed by the instrument are the greening stage, tillering stage, jointing stage, booting stage, heading stage, flowering stage and milk ripening stage. The in situ EC measurement value of 5cm plough layer soil during the period;
采用SPSS软件对水稻返青期、分蘖期、拔节期、孕穗期、抽穗期、扬花期和乳熟期的5cm耕层土壤的原位EC和相应生育期10cm、15cm和20cm耕层土壤的原位EC进行相关性分析;SPSS software was used to analyze the in situ EC of 5 cm topsoil soil at the greening stage, tillering stage, jointing stage, booting stage, heading stage, flowering stage and milk maturity stage of rice and the in situ EC of 10 cm, 15 cm and 20 cm topsoil soil in corresponding growth stages. EC for correlation analysis;
采用SPSS软件分别对水稻返青期、分蘖期、拔节期、孕穗期、抽穗期、扬花期和乳熟期的5cm耕层土壤的原位EC和相应生育期10cm、15cm和20cm耕层土壤的原位EC构建回归方程;The in situ EC of the 5 cm ploughed soil at the greening stage, tillering stage, jointing stage, booting stage, heading stage, flowering stage and milk maturity stage of rice and the in situ EC of 10cm, 15cm and 20cm ploughbed soil in the corresponding growth stages were analyzed by SPSS software. Bit EC to construct a regression equation;
三、将步骤二所得返青期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(1)(根据834个样本实测值得出):3. Substitute the in-situ EC measurement value of the 5cm cultivated layer soil obtained in the step 2 into the EC regression prediction equation (1) as the x value (according to the measured value of 834 samples):
Y=-0.001x3+0.04x2+0.62x+0.681,R2=0.965(1),即得返青期的10cm耕层土壤原位EC;Y=-0.001x 3 +0.04x 2 +0.62x+0.681, R 2 =0.965(1), that is, the in-situ EC of the 10cm topsoil soil in the greening period is obtained;
将步骤二所得返青期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(2)(根据834个样本实测值得出):Substitute the in-situ EC measurement value of the 5cm ploughed layer soil obtained in step 2 as the x value into the EC regression prediction equation (2) (obtained according to the measured values of 834 samples):
Y=-0.001x3+0.033x2+0.700x+0.748,R2=0.927(2),即得返青期的15cm耕层土壤原位EC;Y=-0.001x 3 +0.033x 2 +0.700x+0.748, R 2 =0.927(2), that is, the in-situ EC of the 15cm ploughed soil in the greening period is obtained;
将步骤二所得返青期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(3)(根据834个样本实测值得出):Substitute the in-situ EC measurement value of the 5cm cultivated layer soil obtained in step 2 as the x value into the EC regression prediction equation (3) (based on the measured values of 834 samples):
Y=-0.001x3+0.005x2+1.052x+0.324,R2=0.914(3),即得返青期的20cm耕层土壤原位EC;Y=-0.001x 3 +0.005x 2 +1.052x+0.324, R 2 =0.914(3), that is, the in-situ EC of the 20cm ploughed soil in the greening period is obtained;
四、将步骤二所得分蘖期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(4)(根据1080个样本实测值得出):4. Substitute the in-situ EC measurement value of the 5cm tiller soil soil obtained in step 2 into the EC regression prediction equation (4) as the x value (obtained according to the measured values of 1080 samples):
Y=3.953E-05x3-0.014x2+1.272x-0.910,R2=0.992(4),即得分蘖期的10cm耕层土壤原位EC;Y=3.953E-05x 3 -0.014x 2 +1.272x-0.910, R 2 =0.992(4), that is, the in-situ EC of the 10cm ploughed soil in the tiller stage;
将步骤二所得分蘖期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(5)(根据1080个样本实测值得出):The in-situ EC measurement value of the 5cm tiller soil obtained in step 2 was used as the x value and substituted into the EC regression prediction equation (5) (obtained based on the measured values of 1080 samples):
Y=0.980x0 . 993,R2=0.916(5),即得分蘖期的15cm耕层土壤原位EC;Y = 0.980× 0.993 , R 2 =0.916(5), that is, the in-situ EC of the 15cm ploughed soil in the tiller stage;
将步骤二所得分蘖期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(6)(根据1080个样本实测值得出):The in-situ EC measurement value of the 5cm tiller soil obtained in step 2 was used as the x value and substituted into the EC regression prediction equation (6) (obtained according to the measured values of 1080 samples):
Y=3.755E-05x3-0.013x2+1.191x-0.159,R2=0.979(6),即得分蘖期的20cm耕层土壤原位EC;Y=3.755E-05x 3 -0.013x 2 +1.191x-0.159, R 2 =0.979(6), that is, the in-situ EC of the 20cm ploughed soil in the tiller stage;
五、将步骤二所得拔节期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(7)(根据460个样本实测值得出):5. Substitute the in-situ EC measurement value of the 5cm plough layer soil obtained in step 2 into the EC regression prediction equation (7) as the x value (according to the measured value of 460 samples):
Y=0.065x3+0.508x2–0.521x+1.882,R2=0.488(7),即得拔节期的10cm耕层土壤原位EC;Y=0.065x 3 +0.508x 2 -0.521x+1.882, R 2 =0.488(7), that is, the in-situ EC of the 10cm ploughed soil at the jointing stage;
将步骤二所得拔节期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(8)(根据460个样本实测值得出):Substitute the in-situ EC measurement value of the 5cm plough layer soil obtained in step 2 as the x value into the EC regression prediction equation (8) (obtained based on the measured values of 460 samples):
Y=-0.027x3+0.161x2+0.190x+1.916,R2=0.131(8),即得拔节期的15cm耕层土壤原位EC;Y=-0.027x 3 +0.161x 2 +0.190x+1.916, R 2 =0.131(8), that is, the in-situ EC of the 15cm ploughed soil at the jointing stage;
将步骤二所得拔节期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(9)(根据460个样本实测值得出):Substitute the in-situ EC measurement value of the 5cm plough layer soil obtained in step 2 as the x value into the EC regression prediction equation (9) (obtained based on the measured values of 460 samples):
Y=0.057x3-0.546x2+2.495x-0.817,R2=0.031(9),即得拔节期的20cm耕层土壤原位EC;Y=0.057x 3 -0.546x 2 +2.495x-0.817, R 2 =0.031(9), that is, the in-situ EC of the 20cm ploughed soil at the jointing stage;
六、将步骤二所得孕穗期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(10)(根据320个样本实测值得出):6. Substitute the in-situ EC measurement value of the 5cm plough layer soil obtained in step 2 into the EC regression prediction equation (10) as the x value (obtained according to the measured values of 320 samples):
Y=0.005x3-0.135x2+0.853x+2.021,R2=0.590(10),即得孕穗期的10cm耕层土壤原位EC;Y=0.005x 3 -0.135x 2 +0.853x+2.021, R 2 =0.590(10), that is, the in-situ EC of the 10cm topsoil soil at the booting stage was obtained;
将步骤二所得孕穗期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(11)(根据320个样本实测值得出):Substitute the in-situ EC measurement value of the 5cm plough layer soil obtained in step 2 into the EC regression prediction equation (11) as the x value (obtained according to the measured values of 320 samples):
Y=2.105x0 . 434,R2=0.158(11),即得孕穗期的15cm耕层土壤原位EC;Y = 2.105x 0.434 , R 2 =0.158(11), that is, the in-situ EC of the 15cm topsoil soil at the booting stage was obtained;
将步骤二所得孕穗期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(12)(根据320个样本实测值得出):Substitute the in-situ EC measurement value of the 5cm tillage soil obtained in step 2 as the x value into the EC regression prediction equation (12) (obtained based on the measured values of 320 samples):
Y=0.314x3–3.076x2+9.856x-6.375,R2=0.069(12),即得孕穗期的20cm耕层土壤原位EC;Y=0.314x 3 -3.076x 2 +9.856x-6.375, R 2 =0.069(12), that is, the in-situ EC of the 20cm topsoil soil at the booting stage was obtained;
七、将步骤二所得抽穗期的5cm耕层土壤原位EC值作为x值代入EC回归预测方程(13)(根据320个样本实测值得出):7. Substitute the in-situ EC value of the 5cm plough layer soil at the heading stage obtained in step 2 as the x value into the EC regression prediction equation (13) (obtained according to the measured values of 320 samples):
Y=-0.196x3+1.500x2-2.897x+3.786,R2=0.450(13),即得抽穗期的10cm耕层土壤原位EC;Y=-0.196x 3 +1.500x 2 -2.897x+3.786, R 2 =0.450(13), that is, the in-situ EC of the 10cm topsoil soil at the heading stage was obtained;
将步骤二所得抽穗期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(14)(根据320个样本实测值得出):Substitute the in-situ EC measurement value of the 5cm plough layer soil obtained in step 2 as the x value into the EC regression prediction equation (14) (obtained according to the measured values of 320 samples):
Y=-0.353x3+2.287x2-3.978x+4.321,R2=0.188(14),即得抽穗期的15cm耕层土壤原位EC;Y=-0.353x 3 +2.287x 2 -3.978x+4.321, R 2 =0.188(14), that is, the in-situ EC of the 15cm topsoil soil at the heading stage was obtained;
将步骤二所得抽穗期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(15)(根据320个样本实测值得出):Substitute the in-situ EC measurement value of the 5cm plough layer soil obtained in step 2 as the x value into the EC regression prediction equation (15) (obtained according to the measured values of 320 samples):
Y=-0.173x3+0.996x2-0.956x+2.611,R2=0.082(15),即得抽穗期的20cm耕层土壤原位EC;Y=-0.173x 3 +0.996x 2 -0.956x+2.611, R 2 =0.082(15), that is, the in-situ EC of the 20cm topsoil soil at the heading stage was obtained;
八、将步骤二所得扬花期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(16)(根据320个样本实测值得出):8. Substitute the in-situ EC measurement value of the 5cm tillage soil obtained in step 2 into the EC regression prediction equation (16) as the x value (according to the measured value of 320 samples):
Y=1.350x0 . 768,R2=0.598(16),即得扬花期的10cm耕层土壤原位EC;Y = 1.350x 0.768 , R 2 =0.598(16), that is, the in-situ EC of the 10cm ploughed soil in the flowering period was obtained;
将步骤二所得扬花期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(17)(根据320个样本实测值得出):Substitute the in-situ EC measurement value of the 5cm ploughed soil obtained in step 2 into the EC regression prediction equation (17) as the x value (obtained based on the measured values of 320 samples):
Y=1.444x0 . 765,R2=0.433(17),即得扬花期的15cm耕层土壤原位EC;Y = 1.444x 0.765 , R 2 =0.433(17), that is, the in-situ EC of the 15cm ploughed soil in the flowering period was obtained;
将步骤二所得扬花期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(18)(根据320个样本实测值得出):Substitute the in-situ EC measurement value of the 5cm tillage soil obtained in step 2 as the x value into the EC regression prediction equation (18) (based on the measured values of 320 samples):
Y=0.156x3-1.511x2+5.330x-2.902,R2=0.336(18),即得扬花期的20cm耕层土壤原位EC;Y=0.156x 3 -1.511x 2 +5.330x-2.902, R 2 =0.336(18), that is, the in-situ EC of the 20cm ploughed soil in the flowering period;
九、将步骤二所得乳熟期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(19)(根据250个样本实测值得出):9. Substitute the in-situ EC measurement value of the 5cm tillage soil obtained in step 2 into the EC regression prediction equation (19) as the x value (according to the measured value of 250 samples):
Y=-0.095x3+0.893x2-1.759x+3.150,R2=0.635(19),即得乳熟期的10cm耕层土壤原位EC;Y=-0.095x 3 +0.893x 2 -1.759x+3.150, R 2 =0.635 (19), that is, to obtain the in-situ EC of the 10cm ploughed soil at the milk maturity stage;
将步骤二所得乳熟期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(20)(根据250个样本实测值得出):Substitute the in-situ EC measurement value of the 5cm tillage soil obtained in step 2 into the EC regression prediction equation (20) as the x value (obtained from the measured values of 250 samples):
Y=-0.068x3+0.636x2-1.263x+3.383,R2=0.384(20),即得乳熟期的15cm耕层土壤原位EC;Y=-0.068x 3 +0.636x 2 -1.263x+3.383, R 2 =0.384(20), that is, the in-situ EC of the 15cm ploughed soil in the milk-maturing stage;
将步骤二所得乳熟期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(21)(根据250个样本实测值得出):Substitute the in-situ EC measurement value of the 5cm ploughed soil obtained in step 2 into the EC regression prediction equation (21) as the x value (obtained based on the measured values of 250 samples):
Y=-0.117x3+1.028x2-2.344x+4.725,R2=0.170(21),即得乳熟期的20cm耕层土壤原位EC。Y=-0.117x 3 +1.028x 2 -2.344x+4.725, R 2 =0.170 (21), that is, the in-situ EC of the 20cm ploughed soil at the milk maturity stage was obtained.
采用下述实验验证本发明效果:Adopt following experiment to verify the effect of the present invention:
实验一:experiment one:
2019年,对吉林大安农田生态系统国家野外科学观测研究站苏打盐碱地水稻返青期耕层土壤进行预测。In 2019, forecasts were made for the soil of the plough layer in the soda saline-alkali land of the National Field Scientific Observation and Research Station of Da'an Farmland Ecosystem in Jilin during the rejuvenation period of rice.
预测苏打盐碱地水稻主要生育期不同耕层EC的方法按照以下步骤进行:The method of predicting the EC of different plough layers in the main growth period of rice in soda saline-alkali land is carried out according to the following steps:
一、用研磨布清洁土壤原位EC计的金属探头表面后,用土壤原位EC计标准液校正探头精度;1. After cleaning the metal probe surface of the soil in-situ EC meter with abrasive cloth, calibrate the probe accuracy with the soil in-situ EC meter standard solution;
二、在苏打盐碱地水稻返青期,将土壤原位EC计的金属探头垂直顺时针插入稻田耕层土壤中,插入土壤5cm深度时停止,使土壤与探头金属表面完全均匀接触,响应时间为10-20秒,仪器所显示的数字,即为返青期的5cm耕层土壤原位EC测量值,原位EC为9.10、8.94和9.59mS/cm;2. In the period of rice turning green in soda saline-alkali land, insert the metal probe of the soil in-situ EC meter into the soil of the paddy layer vertically clockwise, and stop when it is inserted into the soil at a depth of 5cm, so that the soil and the metal surface of the probe are completely and evenly contacted, and the response time is 10- After 20 seconds, the number displayed by the instrument is the in-situ EC measurement value of the 5cm ploughed soil in the greening period, and the in-situ EC is 9.10, 8.94 and 9.59mS/cm;
三、将步骤二所得返青期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(1):3. Substitute the in-situ EC measurement value of the 5cm plough layer soil obtained in step 2 into the EC regression prediction equation (1) as the x value:
Y=-0.001x3+0.04x2+0.62x+0.681,R2=0.965(1),即得返青期的10cm耕层土壤原位EC分别为8.88、8.71和9.42mS/cm;Y=-0.001x 3 +0.04x 2 +0.62x+0.681, R 2 =0.965(1), that is, the in-situ ECs of 10cm ploughed soil in the greening period were 8.88, 8.71 and 9.42mS/cm, respectively;
将步骤二所得返青期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(2):Substitute the in-situ EC measurement value of the 5cm plough layer soil obtained in step 2 into the EC regression prediction equation (2) as the x value:
Y=-0.001x3+0.033x2+0.700x+0.748,R2=0.927(2),即得返青期的15cm耕层土壤原位EC别为9.10、8.93和9.61mS/cm;Y=-0.001x 3 +0.033x 2 +0.700x+0.748, R 2 =0.927(2), that is, the in-situ ECs of the 15cm topsoil soil in the greening period are 9.10, 8.93 and 9.61mS/cm, respectively;
将步骤二所得返青期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(3):Substitute the in-situ EC measurement value of the 5cm plough layer soil obtained in step 2 into the EC regression prediction equation (3) as the x value:
Y=-0.001x3+0.005x2+1.052x+0.324,R2=0.914(3),即得返青期的20cm耕层土壤原位EC分别为9.56、9.41和9.99mS/cm。Y=-0.001x 3 +0.005x 2 +1.052x+0.324, R 2 =0.914(3), the in-situ EC of 20cm ploughed soil in the greening period were 9.56, 9.41 and 9.99mS/cm, respectively.
进一步应用回归方程对返青期10cm、15cm和20cm耕层土壤原位EC实测值与预测值进行拟合(图1-图3),拟合优度分别为R2=0.981,R2=0.962,R2=0.952(P<0.0001),说明该方程具有统计学意义,本发明的方法实现了对苏打盐碱地水田返青期10cm、15cm和20cm耕层土壤原位EC的预测。The regression equation was further used to fit the in - situ EC measured values and predicted values of soil in 10cm, 15cm and 20cm tillage layers during the greening period (Fig. 1 -Fig. 3). R 2 =0.952 (P<0.0001), indicating that the equation has statistical significance, and the method of the present invention realizes the prediction of the in-situ EC of the 10cm, 15cm and 20cm topsoil soils in the soda saline-alkali paddy field during the rejuvenation period.
实验二:Experiment 2:
2019年,对吉林大安农田生态系统国家野外科学观测研究站苏打盐碱地水稻分蘖期耕层土壤进行预测。In 2019, the soil of the tillering stage of the rice tillering stage in the soda saline-alkali land of the National Field Scientific Observation and Research Station of Daan Farmland Ecosystem in Jilin Province was predicted.
预测苏打盐碱地水稻主要生育期不同耕层EC的方法按照以下步骤进行:The method of predicting the EC of different plough layers in the main growth period of rice in soda saline-alkali land is carried out according to the following steps:
一、用研磨布清洁土壤原位EC计的金属探头表面后,用土壤原位EC计标准液校正探头精度;1. After cleaning the metal probe surface of the soil in-situ EC meter with abrasive cloth, calibrate the probe accuracy with the soil in-situ EC meter standard solution;
二、在苏打盐碱地水稻分蘖期,将土壤原位EC计的金属探头垂直顺时针插入稻田耕层土壤中,插入土壤5cm深度时停止,使土壤与探头金属表面完全均匀接触,响应时间为10-20秒,仪器所显示的数字,即为返青期的5cm耕层土壤原位EC测量值,原位EC分别为4.43、3.53和2.66mS/cm;2. During the tillering stage of the rice in the soda saline-alkali land, insert the metal probe of the soil in-situ EC meter into the soil of the paddy plough layer vertically and clockwise, and stop when it is inserted into the soil at a depth of 5cm, so that the soil and the metal surface of the probe are completely and evenly contacted, and the response time is 10- After 20 seconds, the number displayed by the instrument is the in-situ EC measurement value of the 5cm topsoil soil in the greening period, and the in-situ ECs are 4.43, 3.53 and 2.66mS/cm respectively;
三、将步骤二所得分蘖期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(4):3. Substitute the in-situ EC measurement value of the 5cm tiller soil obtained in step 2 into the EC regression prediction equation (4) as the x value:
Y=3.953E-05x3-0.014x2+1.272x-0.910,R2=0.992(4),即得分蘖期的10cm耕层土壤原位EC分别为4.45、3.41和2.38mS/cm;Y=3.953E-05x 3 -0.014x 2 +1.272x-0.910, R 2 =0.992(4), that is, the in-situ ECs of the 10cm ploughed soil in the tiller stage were 4.45, 3.41 and 2.38mS/cm, respectively;
将步骤二所得分蘖期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(5):Substitute the in-situ EC measurement value of the 5cm tiller soil soil obtained in step 2 as the x value into the EC regression prediction equation (5):
Y=0.980x0 . 993,R2=0.916(5),即得分蘖期15cm耕层土壤原位EC分别为4.30、3.43和2.59mS/cm;Y = 0.980× 0.993 , R 2 =0.916(5), that is, the in-situ EC of the 15cm ploughed soil in the tillering stage were 4.30, 3.43 and 2.59mS/cm, respectively ;
将步骤二所得分蘖期的5cm耕层土壤原位EC测量值作为x值代入EC回归预测方程(6):Substitute the in-situ EC measurement value of the 5cm tiller soil obtained in step 2 into the EC regression prediction equation (6) as the x value:
Y=3.755E-05x3-0.013x2+1.191x-0.159,R2=0.979(6),即得分蘖期20cm耕层土壤原位EC分别为4.87、3.38和2.92mS/cm。Y=3.755E-05x 3 -0.013x 2 +1.191x-0.159, R 2 =0.979(6), that is, the in-situ EC of the 20cm ploughed soil in the tiller stage were 4.87, 3.38 and 2.92mS/cm, respectively.
进一步应用回归方程对分蘖期10cm、15cm和20cm耕层土壤原位EC实测值与预测值进行拟合(图4-图6),拟合优度分别为R2=0.992,R2=0.457,R2=0.989(P<0.0001),说明该方程具有统计学意义,本发明的方法实现了对苏打盐碱地水田分蘖期10cm、15cm和20cm耕层土壤原位EC的预测。The regression equation was further used to fit the in situ EC measured and predicted values of soil in 10cm, 15cm and 20cm tillering stage (Fig. 4 - Fig. 6). R 2 =0.989 (P<0.0001), indicating that the equation has statistical significance, and the method of the present invention realizes the prediction of the in-situ EC of the 10cm, 15cm and 20cm tillering stages of the soda saline-alkali paddy field.
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201724984U (en) * | 2010-06-13 | 2011-01-26 | 浙江大学 | Device of measuring electrical conductivity of cross section of soil |
CN106376407A (en) * | 2016-08-31 | 2017-02-08 | 山东胜伟园林科技有限公司 | Energy-saving planting method of paddy rice in saline and alkaline land |
CN111011146A (en) * | 2019-11-06 | 2020-04-17 | 青岛农业大学 | Equal-amplitude intercropping alternate crop rotation planting method for peanuts/cotton in saline-alkali soil |
AU2020102098A4 (en) * | 2020-09-02 | 2020-10-08 | Gautam, Deepesh Kumar MR | Soil salinity degradation estimation by regression algorithm using agricultural internet of things |
CN111783288A (en) * | 2020-06-19 | 2020-10-16 | 青岛农业大学 | An inversion method of soil salinity in the Yellow River Delta based on Landsat8 |
CN113299350A (en) * | 2021-05-20 | 2021-08-24 | 中国科学院东北地理与农业生态研究所 | Method for predicting chemical index of soda salt and alkali by using soil pH |
CN113484384A (en) * | 2021-07-07 | 2021-10-08 | 中国科学院东北地理与农业生态研究所 | Method for predicting in-situ pH values of soils in different plough layers in rice growth period in soda saline-alkali soil |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10247717B2 (en) * | 2017-07-14 | 2019-04-02 | SafeNet International LLC | Method of efficient acquisition of soil data using image mapping |
ES2735474B2 (en) * | 2018-06-18 | 2020-08-03 | Sarria Pueyo Fernando | Device for estimating moisture content and water availability in soils |
-
2021
- 2021-06-24 CN CN202110701940.3A patent/CN113435640B/en active Active
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN201724984U (en) * | 2010-06-13 | 2011-01-26 | 浙江大学 | Device of measuring electrical conductivity of cross section of soil |
CN106376407A (en) * | 2016-08-31 | 2017-02-08 | 山东胜伟园林科技有限公司 | Energy-saving planting method of paddy rice in saline and alkaline land |
CN111011146A (en) * | 2019-11-06 | 2020-04-17 | 青岛农业大学 | Equal-amplitude intercropping alternate crop rotation planting method for peanuts/cotton in saline-alkali soil |
CN111783288A (en) * | 2020-06-19 | 2020-10-16 | 青岛农业大学 | An inversion method of soil salinity in the Yellow River Delta based on Landsat8 |
AU2020102098A4 (en) * | 2020-09-02 | 2020-10-08 | Gautam, Deepesh Kumar MR | Soil salinity degradation estimation by regression algorithm using agricultural internet of things |
CN113299350A (en) * | 2021-05-20 | 2021-08-24 | 中国科学院东北地理与农业生态研究所 | Method for predicting chemical index of soda salt and alkali by using soil pH |
CN113484384A (en) * | 2021-07-07 | 2021-10-08 | 中国科学院东北地理与农业生态研究所 | Method for predicting in-situ pH values of soils in different plough layers in rice growth period in soda saline-alkali soil |
Non-Patent Citations (7)
Title |
---|
Using Sentinel-1 Imagery for Soil Salinity Prediction Under the Condition of Coastal Restoration;Ren-Min Yang 等;《IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing》;20190403;第12卷(第5期);1482-1488 * |
土壤电导率和pH值光谱特征及反演模型――以呼伦贝尔草原干旱半干旱土壤为例;李诗朦等;《测绘科学》;20180201;第43卷(第08期);14-22+44 * |
干旱区土壤含水率和盐分的空间变异性及其关系研究;胡小东 等;《水资源与水工程学报》;20200815;第31卷(第04期);238-244 * |
松嫩平原西部土壤盐碱化特征研究;张晓光 等;《土壤》;20130415;第45卷(第02期);1332-1338 * |
绿洲区域表层土壤水盐的时空异质性 ————以渭干河—库车河绿洲为例;马成霞;《中国优秀博硕士学位论文全文数据库(硕士)农业科技辑》;20160315(第03期);D043-90 * |
苏打盐碱胁迫下水稻抽穗期的变化规律及其影响因素的研究;齐春艳 等;《农业系统科学与综合研究》;20090515;第25卷(第02期);198-203+207 * |
覆沙对松嫩平原盐碱裸地的改良和利用效果研究;胡娟 等;《中国农学通报》;20210325;第37卷(第09期);85-94 * |
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