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基于Logistic模型的番茄生长特性研究 被引量:9

Study on Tomato Growth Characteristics Based on Logistic Model
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摘要 为探究不同水分(W)-沸石量(Z)-埋深(H)条件下番茄生长特性,采用Logistic模型对番茄生长动态过程进行模拟和效果评价,并揭示了各因素对番茄物候期参数和生长参数的影响。结果表明:不同处理下番茄S型生长过程可划分为渐增期、线性生长期和缓增期3个阶段,宜采用Logistic模型进行量化描述。增加土壤水分或减小埋深能够提前番茄线性生长终点t-2以及缩短线性生长期LGD,同时促进番茄最大线性生长速率MGR,平均线性生长速率LGR和线性生长量TLG。增加水分或减小埋深对t-1影响表现为先促进后抑制。沸石量增加对t-2、LGD和TLG影响表现为先促进后抑制,对t-1、MGR和LGR影响表现为先抑制后促进。三因素对t-1影响表现为Z>W>H,对t-2、LGD、MGR、LGR和TLG影响表现为W>H>Z。适宜番茄生长的最优处理组合为:水分70~90田间持水量、沸石量6 t/hm^2、埋深15 cm。 In order to explore the tomato growth characteristics under different moisture content(W)-zeolite amount(Z)-buried depth(H),the Logistic model was used to simulate the dynamic process of tomato growth,and the model simulation effect was evaluated.The effects of three factors on phenological parameters and growth parameters of tomato were further revealed.The results show that:the tomato S-shaped growth process under different treatments can be divided into three stages:increasing period,linear growing period and slowly increasing period.Logistic model is suitable for quantitative description of tomato growth process.The increasing moisture content or decreasing buried depth can advance the ending point t2 and decrease the length LGD of the linear growth period,promote the maximum linear growth rate MGR,average linear growth rate LGR and linear growth amount TLG.The effect of increasing W or decreasing H on starting point t1 is accelerative at first,and then inhibited.The effect of increasing Z on t2,LGD and TLG is accelerative at first,and then inhibited,whereas that on t1,MGR and LGR shows opposite trend.The effect of three factors on t1 is shown as Z>W>H,and that on t2,LGD,MGR,LGR,and TLG is shown as W>H>Z.The optimal treatment combination suitable for tomato growth is:70%~90%field capacity,zeolite amount 6 t/hm^2,and buried depth 15 cm.
作者 雷涛 郭向红 毕远杰 吕棚棚 马娟娟 孙西欢 张勇 雷震 LEI Tao;GUO Xiang-hong;BI Yuan-jie;Lü Peng-peng;MA Juan-juan;SUN Xi-huan;ZHANG Yong;LEI Zhen(Shanxi Province Key Laboratory of Organic Dry Farming, Institute of Dryland Farming, Taiyuan 030031, China;College of Water Resource Science and Engineering, Taiyuan University of technology,Taiyuan 030024, China)
出处 《节水灌溉》 北大核心 2020年第10期10-14,共5页 Water Saving Irrigation
基金 山西省重点研发计划重点项目(201703D211002) 山西省自然基金项目(201701D221193) 有机旱作山西省重点实验室开放基金课题(201805D111015-1)。
关键词 LOGISTIC模型 番茄 水分 沸石量 沸石埋深 番茄生长 Logistic model tomato moisture content zeolite amount zeolite buried depth tomato growth
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