自然条件下玉米与马铃薯单、间作生长的微分方程建模
Differential Equation Modeling of Monocropping and Intercropping Maize and Potato’s Growth under Natural Conditions
DOI: 10.12677/AAM.2022.117476, PDF,   
作者: 陶 香, 化存才*:云南师范大学数学学院,云南 昆明
关键词: 玉米马铃薯单作间作非自治微分方程Mize Potato Monocropping Intercropping Non-Autonomous Differential Equation
摘要: 在本文中,首先分别建立了自然条件下玉米和马铃薯单作生长时干物质积累的一维非自治微分方程模型。数值模拟结果表明:模拟值与试验数据非常吻合,因而所建的单作模型可分别用于描述玉米和马铃薯单作生长时的干物质积累过程。玉米的干物质积累主要集中在拔节–抽雄–灌浆期,而马铃薯的干物质积累主要集中在块茎形成–块茎膨大–淀粉积累期,两者的干物质积累过程都符合“S型”增长规律。进一步,考虑到玉米和马铃薯间作生长时有促进与抑制的作用,建立了两者间作生长时干物质积累的二维非自治微分方程模型,分析得出相应自治间作模型存在唯一的正平衡点,且为稳定结点,给出的相对增长率公式表明:间作玉米呈现增产优势,马铃薯呈现减产弱势,两者的总量呈现增长优势;非自治间作模型的数值模拟得出:若选取耦合项的参数为γ = 0.303,η = 0.0778,则两者作物的干物质积累量趋于稳定正平衡点N4 (442.96, 266.55),与单作相比,间作玉米的干物质积累量提高了26.76%,马铃薯减少了8.10%,而玉米和马铃薯两者总的干物质积累量却增加了11.09%,呈现出间作系统提高群体产量的优势。因此,在两者的种植方式上,可以优先选择间作栽培。
Abstract: In this paper, one-dimensional non-autonomous differential equation models of dry matter accu-mulation of mono-cropping maize and potato under natural conditions are established respectively. Numerical simulation results show that the simulated values are in good agreement with the ex-perimental data, so the monoculture models can be used to describe the dry matter accumulation process of maize and potato in monoculture growth respectively. The dry matter accumulation of maize concentrates mainly in jointing, tasting and filling stage, while the dry matter accumulation of potato concentrates mainly in tuber formation, tuber swelling and starch accumulation stage, both of which are in line with the “S-shaped” growth law. Furthermore, by considering the promo-tion and inhibition effect of intercropping maize and potato’s growth, a two- dimensional nonau-tonomous differential equation model of dry matter accumulation during their intercropping growth is established. It is concluded by analyzing the corresponding autonomous intercropping model that it has unique positive equilibrium point which is a stable node. The formulas of relative growth rate are given. They show that the intercropping maize increases production yield at a competitive advantage, the intercropping potato decreases production yield at a competitive dis-advantage, and their total production yield increases at advantage. Numerical simulation of the nonautonomous interplanting model shows that if the parameters of the coupling term of the model is chosen as γ = 0.303, η = 0.0778, then amount of dry matter accumulation of both crops tends to the stable positive equilibrium N4 (442.96, 266.55). Compared with the monoculture maize and potato, the dry matter accumulation of intercropping maize increases by 26.76%, the potato de-creases by 8.10%, and the total dry matter accumulation corn of them increases by 11.09%. This is just the result of what the advantage of intercropping system increases production yield. Therefore, for the selection of planting methods, intercropping cultivation can be considered as priority.
文章引用:陶香, 化存才. 自然条件下玉米与马铃薯单、间作生长的微分方程建模[J]. 应用数学进展, 2022, 11(7): 4496-4508. https://doi.org/10.12677/AAM.2022.117476

参考文献

[1] 杜春凤. 马铃薯/玉米间作栽培对土壤和作物的影响[D]: [硕士学位论文]. 银川: 宁夏大学, 2017.
[2] 刘星, 张书乐, 刘国锋, 邱慧珍, 王蒂, 张俊莲, 沈其荣. 连作对甘肃中部沿黄灌区马铃薯干物质积累和分配的影响[J]. 作物学报, 2014, 40(7): 1274-1285.
[3] 范志伟, 吴开贤, 安曈昕, 杨圆满, 周锋, 吴伯志. 玉米马铃薯间作群体的蒸腾量和蒸腾效率研究[J]. 干旱地区农业研究, 2016, 34(5): 129-137.
[4] 刘英超, 汤利, 郑毅. 间作玉米马铃薯土壤水氮协同吸收特征研究[J]. 中国土壤与肥料, 2020(4): 150-156.
[5] 耿川雄, 任家兵, 马心灵, 龙光强, 鲁耀, 汤利. 基于LCA的不同间作体系产量优势及温室效应研究[J]. 中国生态农业学报(中英文), 2020, 28(2): 159-167.
[6] Ebwoggu, M., Adipala, E., Ssekabembe, C.K., et al. (2001) Effect of Intercropping Maize and Solanum Potato on Yield of the Component Crops in Central Uganda. African Crop Science Journal, 9, 83-96. [Google Scholar] [CrossRef
[7] 覃潇敏, 郑毅, 汤利, 等. 玉米与马铃薯间作对根际微生物群落结构和多样性的影响[J]. 作物学报, 2015, 41(6): 919-928.
[8] 黄承建, 赵思毅, 王季春, 等. 马铃薯/玉米不同行数比套作对马铃薯光合特性和产量的影响[J]. 中国生态农业学报, 2012, 20(11): 1443-1450.
[9] 李莉. 马铃薯间作不同作物的互作效应研究[D]: [硕士学位论文]. 银川: 宁夏大学, 2018.
[10] 刘春, 张春辉, 等. 基于能量模型的水稻生长模型[J]. 应用气象学报, 2013, 24(2): 240-246.
[11] 符云锦. 农作物生长质量的非线性微分方程模型与分析[J]. 汕头大学学报, 2014, 29(4): 31-34.
[12] 李文斌. 声频控制对水稻分蘖数生长影响的微分方程建模[D]: [硕士学位论文]. 昆明: 云南师范大学, 2019: 1-28.
[13] 梁仕军. 三种不同环境下花生生长发育的微分方程建模[D]: [硕士学位论文]. 昆明: 云南师范大学, 2021.
[14] 赵秀萍. 玉米的生育期划分及生长发育特性[J]. 养殖技术顾问, 2014(4): 85.
[15] Ottarianoe, C. (1981) Phenotypic and Genetic Relationships between Yield Compo-nents in Maize. Euphytica, 30, 601-609. [Google Scholar] [CrossRef
[16] 邓天福, 王霞. 基于Richards方程的玉米灌浆曲线模型[J]. 河南科技学院学报, 2016, 44(6): 17.
[17] 于泽涛, 王存凯. 米产量与干物质积累过程模型中品种参数的建立方法与分析[J]. 玉米科学, 2016, 24(4): 130-136.
[18] 乔嘉, 朱金城. 基于Logistic模型的玉米干物质积累过程对产量影响研究[J]. 中国农业大学学报, 2011, 16(5): 32-38.
[19] 胡莎莎, 王飞, 李亚辉, 孔乐, 尹飞, 刘领, 付国占, 焦念元. 玉米-花生间作行比与磷肥施用对玉米干物质积累及产量的影响[J]. 贵州农业科学, 2019, 47(8): 18-22.
[20] 刘星, 张书乐. 连作对甘肃中部沿黄灌区马铃薯干物质积累和分配的影响[J]. 作物学报,2014, 40(7): 1274-1285.
[21] 厉浩. 马铃薯间作玉米、蚕豆下生长发育及种间关系研究[D]: [硕士学位论文]. 银川: 宁夏大学, 2019: 1-32.
[22] 张锦炎, 冯贝叶. 常微分几何理论与分支[M]. 北京: 北京大学出版社, 2000.