Novel models for simulating maize growth based on thermal time and photothermal units: Applications under various mulching practices
作者机构：Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid AreasMinistry of EducationNorthwest A&F UniversityYangling 712100P.R.China Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610041P.R.China
出 版 物：《Journal of Integrative Agriculture》 (农业科学学报（英文版）)
年 卷 期：2023年第22卷第5期
页 面：1381-1395页
核心收录：
基 金：funded by the National Natural Science Foundation of China (51879226) the Chinese Universities Scientific Fund (2452020018)
主 题：thermal time accumulative growing degree-days helio thermal units photothermal units growth model
摘 要：Maize (Zea mays L.) is one of the three major food crops and an important source of carbohydrates for maintaining food security around the *** height (H),stem diameter (SD),leaf area index (LAI) and dry matter (DM) are important growth parameters that influence maize ***,the combined effect of temperature and light on maize growth is rarely considered in crop growth *** maize growth models based on the modified logistic growth equation (Mlog) and the Mitscherlich growth equation (Mit) were proposed to simulate the H,SD,LAI and DM of maize under different mulching practices based on experimental data from 2015–*** the accumulative growing degree-days (AGDD),helio thermal units (HTU),photothermal units (PTU) or photoperiod thermal units (PPTU,first proposed here) was used as a single driving factor in the models;or AGDD was combined with either accumulative actual solar hours (ASS),accumulative photoperiod response (APR,first proposed here) or accumulative maximum possible sunshine hours (ADL) as the dual driving factors in the *** model performances were evaluated using seven statistical indicators and a global performance *** results showed that the three mulching practices significantly increased the maize growth rates and the maximum values of the growth curves compared with *** the four single factor-driven models,the overall performance of the Mlog_(PTU)Model was the best,followed by the Mlog_(AGDD)*** Mlog_(PPTU)Model was better than the Mlog_(AGDD)Model in simulating SD and *** the 10 models,the overall performance of the Mlog_(AGDD–APR)Model was the best,followed by the Mlog_(AGDD–ASS)***,the Mlog_(AGDD–APR)Model performed the best in simulating H and LAI,while the Mlog_(AGDD–ADL)and Mlog_(AGDD–ASS)models performed the best in simulating SD and DM,*** conclusion,the modified logistic growth equations with AGDD and either APR,ASS or ADL as the dual driving
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