Simulation of pepper (Capsicum annuum L.) growth stages under different nitrogen fertiliser levels based on three models

References

• Baker, J., Leskovar, D., Reddy, V., & Dainello, F. (2001). A simple phenological model of muskmelon Development. Annals of Botany, 87(5), 615–621. https://doi.org/10.1006/anbo.2001.1382
   Web of Science ®Google Scholar
• Barriball, S., Han, A., & Schlautman, B. (2022). Effect of growing degree days, day of the year, and cropping systems on reproductive development of Kernza in Kansas. Agrosystems, Geosciences & Environment, 5(3), 20286. https://doi.org/10.1002/agg2.20286
   Google Scholar
• Bauer, A., Frank, A., & Black, A. (1984). Estimation of spring wheat leaf growth rates and anthesis from air temperature 1. Agronomy Journal, 76(5), 829–835. https://doi.org/10.2134/agronj1984.00021962007600050027x
   Web of Science ®Google Scholar
• Cai, S. F., Wu, B. Y., & Lei, J. G. (2021). Dynamic simulation effect of physiological characteristics and nutritional quality of chinese cabbage based on light and temperature function. Chinese Journal of Agrometeorology, 42(1), 34–43.
   Google Scholar
• Chen, X., Feng, L. P., Peng, M. X., & Chen, Y. L. (2019). Establishment of sugarcane development simulation model based on clock model method. Chinese Journal of Agrometeorology, 40(3), 186–194.
   Google Scholar
• Cheng, C., Feng, L., Barcena, J. F., Yu, W., Li, G., Li, Z., & Ye, C. (2022). A growth model based on standardized growing degree days for hydroponic fresh cut tulip in solar greenhouses. European Journal of Horticultural Science, 87(4). https://doi.org/10.17660/eJHS.2022/042
   Web of Science ®Google Scholar
• Cheng, C., Feng, L. P., Xue, Q. Y., Li, C., Gong, Z. H., Dong, C. Y., Wu, L., Wang, C. L., Liu, S. M., Li, Y. Z., & Li, Z. F. (2019). Simulation model for cucumber growth and development in sunlight greenhouse. Chinese Journal of Applied Ecology, 30(10), 3491–3500. https://doi.org/10.13287/j.1001-9332.201910.020
   Google Scholar
• Chen, Y. K., Huang, Y. Y., Wang, T., & Kang, Y. X. (2021). Growth model of lettuce cultivated by NFT based on product of thermal effectiveness and photosynthesis active radiation. Jiangsu Agricultural Sciences, 49(19), 201–204.
   Google Scholar
• Chen, Y., Xu, M. Z., Wang, Y. H., Bai, Y. L., Lu, Y. L., & Wang, L. (2022). Quantitative study on effective accumulated temperature and dry matter and nitrogen accumulation of summer maize under different nitrogen supply levels. Scientia Agricultura sinica, 55(15), 2973–2987.
   Google Scholar
• Diao, M., Dai, J. F., Luo, W. H., Yuan, C. M., Pu, C. X., Xian, K. M., Zhang, S. F., & Xu, R. (2009). Model for simulation of growth and yield of greenhouse sweet pepper. Transactions of the Chinese Society of Agricultural Engineering, 25(10), 241–246.
   Google Scholar
• Giolo, M., Sallenave, R., Pornaro, C., Velasco-Cruz, C., Macolino, S., & Leinauer, B. (2021). Base temperatures affect accuracy of growing degree day model to predict emergence of bermudagrasses. Agronomy Journal, 113(1), 2960–2966. https://doi.org/10.1002/agj2.20660
   Google Scholar
• Guo, Y. H., Wu, W. X., Du, M. Z., Liu, X. X., Wang, J. Z., & Bryant, C. (2019). Modeling climate change impacts on rice growth and yield under global warming of 1.5 and 2.0 • C in the Pearl River delta, China. Atmosphere, 10(10), 567. https://doi.org/10.3390/atmos10100567
   Web of Science ®Google Scholar
• Huang, C. B., Fang, W. M., Yang, Y., Chen, F., & Xu, Y. (2010). Effects of different nitrogen levels and forms on the appearance quality and photosynthesis characters of potted chrysanthemum with small inflorescences. Acta Agriculturae Zhejiangensis, 22(1), 45–50.
   Google Scholar
• Ibarra, L., Flores, J., & Díaz-Pérez, J. (2001). Growth and yield of muskmelon in response to plastic mulch and row covers. Scientia Horticulturae, 87(1), 139–145. https://doi.org/10.1016/S0304-4238(00)00172-2
   Web of Science ®Google Scholar
• Jiang, B. B., Fang, W. M., Chen, F. D., & Gu, J. J. (2008). Effects of N, P and K ratio on the growth and development of cut chrysanthemum ‘Jinba’. Journal of Zhejiang Forestry College, 25(6), 692–697.
   Google Scholar
• Leguizamo Medina, M., Pinzón-Sandoval, E., & Balaguera-López, H. (2023). Phenology analysis growing and degree days of flower bud growth in three dianthus caryophyllus L. varieties under greenhouse conditions. Revista Colombiana de Ciencias Hortícolas, 16(3), 15296. https://doi.org/10.17584/rcch.2022v16i3.15296
   Google Scholar
• Liao, S., Xu, X., Xie, H., Chen, P., Wang, C., Jin, Y., Tong, X., & Xiao, C. (2022). A modified shape model incorporating continuous accumulated growing degree days for phenology detection of early rice. Remote Sensing, 14(21), 5337. https://doi.org/10.3390/rs14215337
   Web of Science ®Google Scholar
• Li, L. J., Sun, C. Q., Li, R. J., Yue, Y. B., Nie, K. Y., Feng, E. Y., Peng, S. Z., & Zhao, Z. Y. (2021). Simulation study on fruit development of hylocereus polyrhizus under different nitrogen level. Guizhou Agricultural Sciences, 49(12), 132–139.
   Google Scholar
• Liu, M. H., Guo, S. B., Wang, D., Huang, B., & Cao, Y. F. (2022). Construction and verification of an external morphology, substance accumulation, and distribution model of tomatoes in greenhouses. Transactions Chinese Society Agricultural Engineering, 38(21), 188–196.
   Google Scholar
• Li, Y. S., Xiao, S. J., Wang, X. R., Liang, X. M., Gao, S., Pu, H. M., Zhang, L., Wu, Q. F., & Sui, Q. J. (2020). Effects of nitrogen fertilizer rate on yield and economic benefit of winter potato with drip irrigation under mulch. Soils, 52(1), 25–32.
   Google Scholar
• Li, Y. Z., Xiao, G. B., Ye, C., Zheng, W., Liiu, X. S., Huang, T. B., Xiao, X. J., Wu, Y., Tan, Q. H., & Wang, R. P. (2017). Effects of sowing dates and nitrogen rates on growth and yield of rape new strain 159GP10. Chinese Agricultural Science Bulletin, 33(20), 78–82.
   Google Scholar
• Luan, Q., Guo, J. P., Ma, Y. L., Zhang, L. M., Wang, J. X., & Li, W. W. (2020). Comparison of model’s stability about integrated temperature based on linear hypotheses. Chinese Journal of Agrometeorology, 41(11), 695–706.
   Google Scholar
• Lu, S. Y., Yang, Z. Q., Zhang, Y. D., Zheng, H., & Yang, L. (2020). Effect of photoperiod on fluorescence characteristics of photosynthetic system of fresh-cut chrysanthemum leaves under high temperature. Chinese Journal of Agrometeorology, 41(10), 632–643.
   Google Scholar
• Ma, B., & Tian, J. C. (2016). Growth and development dynamic model of watermelon in gravel-mulched field based on physiological development time. Transactions Chinese Society Agricultural Engineering, 32(20), 122–128.
   Google Scholar
• Niu, N., Jing, B., Liu, Q., Wang, X., & Diao, M. (2021). Research on the growth and development simulation model of greenhouse cherry tomatoes. Journal of Shihezi University (Natural Science), 39(3), 318–325.
   Google Scholar
• Peng, J., Kim, M., Kim, K., Jo, M., Han, K., & Sung, K. (2018). WPSI-1 application of climatic algorithm for prediction of regional whole-crop barley productivity. Journal of Animal Science, 96(S3), 510–511. https://doi.org/10.1093/jas/sky404.1117
   PubMedGoogle Scholar
• Shi, N., Gao, Z. Q., Chen, C. Y., Wen, S. Y., Shu, C., Tang, H., & Yan, L. L. (2022). Simulation and analysis of above-ground dry matter and leaf area index of rice based on logistic model. Journal of Northeast Agricultural University, 53(3), 10–18.
   Google Scholar
• Shi, X. H., & Li, C. (2021). Effects of irrigation amount on dry matter production and its translocation in greenhouse green pepper. Journal of Irrigation and Drainage, 40(10), 10–17.
   Google Scholar
• Su, Y. (2021). Effects of different varieties of fertilizers and concentrations on growth and blooming of the chrysanthemum ‘golden red back’. Journal of Anhui Agricultural Sciences, 49(9), 153–155+158.
   Google Scholar
• Sun, Y. G., Wang, Y., Zhang, Y., Wu, K. C., Wang, Y. H., Wang, D. H., & Shi, Y. (2022). Investigation and utilization of temperature and light characteristics of tobacco: III. Establishment of simulation model of tobacco leaf growth based on temperature and light effects. Chinese Tobacco Science, 43(4), 6–14.
   Google Scholar
• Tang, L., Zhu, Y., & Cao, W. X. (2007). A simulation model for dynamic green area index in winter rapeseed (Brassica Napus). Journal of Plant Ecology, 31(5), 897–902. https://doi.org/10.17521/cjpe.2007.0113
   Google Scholar
• Torrion, J., Setiyono, T., Cassman, K., & Specht, J. (2011). Soybean phenology simulation in the North-Central United States. Agronomy Journal, 103(6), 1661–1667. https://doi.org/10.2134/agronj2011.0141
   Web of Science ®Google Scholar
• Wang, J. (1960). A critique of the heat unit approach to plant response studies. Ecology, 41(4), 785–790. https://doi.org/10.2307/1931815
   Web of Science ®Google Scholar
• Wang, J. X., Guo, J. P., & Li, R. (2019). Accumulated temperature stability of spring maize and its application to growth period forecast. Journal of Applied Meteorological Science, 30(5), 577–585.
   Google Scholar
• Wang, Z. P., Liang, Z. G., Fan, F. C., Liu, S. Y., Jia, S. N., & Qin, Y. (2023). Dry matter accumulation model of eggplant in solar greenhouse under different nitrogen level. Northern Horticulture, 2023(1), 48–54. https://doi.org/10.11937/bfyy.20221926
   Google Scholar
• Wang, J. J., Tian, X., Qin, H. B., Wang, H. G., Cao, X. N., Chen, L., Liu, S. C., & Qiao, Z. J. (2021). Regulation effects of photoperiod on growth and leaf endogenous hormones in broomcorn millet. Scientia Agricultura sinica, 54(2), 286–295.
   Google Scholar
• White, S., Boyd, N., & Van Acker, R. (2012). Growing degree-day models for predicting lowbush blueberry (vaccinium angustifolium Ait.) Ramet emergence, tip dieback, and flowering in Nova Scotia, Canada. HortScience, 47(8), 1014–1021. https://doi.org/10.21273/HORTSCI.47.8.1014
   Web of Science ®Google Scholar
• Wu, F., Zou, X. Z., Li, J., & Wang, W. W. (2021). Study on prediction model of rape flowering date based on radiant thermal product. Jiangsu Agricultural Sciences, 49(11), 153–157.
   Google Scholar
• Xu, C., Wang, M. T., Yang, Z. Q., Han, W., & Zheng, S. H. (2020). Effect of high temperature in seedling stage on phenological stage of strawberry and its simulation. Chinese Journal of Agrometeorology, 41(10), 644–654.
   Google Scholar
• Yang, P., Yang, X., Yan, M., Cheng, Z. M., Cai, Y., Huang, S., Tang, M., & Yang, Y. (2022). Effects of planting density, nitrogen application rate and the number of retained leaves on yield and quality of yunyan 116. Hunan Agricultural Sciences, 2022(7), 6–10. https://doi.org/10.16498/j.cnki.hnnykx.2022.007.002
   Google Scholar
• Yuan, X. K., & Yang, Z. Q. (2017). Effect of day and night temperature difference on fruit quality of tomato and its simulation models. Chinese Journal of Agrometeorology, 38(6), 353–360.
   Google Scholar
• Yue, Y. B., Li, R. J., Feng, E. Y., Li, L. J., Peng, S. Z., & Sun, C. Q. (2022). Dynamic simulation of leaf area index of pepper under different nitrogen levels. Journal of China Agricultural University, 27(5), 157–168.
   Google Scholar
• Yue, Y. B., Zhao, Z. Y., Peng, Z. L., Li, R. J., Li, L. J., Feng, E. Y., & Sun, C. Q. (2018). Simulation on leaf area and dry matter production of Chilli pepper. Southwest China Journal of Agricultural Sciences, 31(12), 2653–2658.
   Google Scholar
• Zhang, L. X., Liu, W., Tsegaw, M., Xu, X., Qi, Y. P., Sapey, E., Liu, L. P., Wu, T. T., Sun, S., & Han, T. F. (2020). Principles and practices of the photo-thermal adaptability improvement in soybean. Journal of Integrative Agriculture, 19(2), 295–310. https://doi.org/10.1016/S2095-3119(19)62850-9
   Web of Science ®Google Scholar
• Zhang, F., Luo, J., Yuan, C., Li, C., & Yang, Z. (2022). A model for the effect of low temperature and poor light on the growth of cucumbers in a greenhouse. Agronomy, 12(12), 2992. https://doi.org/10.3390/agronomy12122992
   Google Scholar
• Zhu, Z. C., Friedman, S., Chen, Z. J., Zheng, J. L., & Sun, S. J. (2022). Dry matter accumulation in maize in response to film mulching and plant density in Northeast China. Plants, 11(11), 1411. https://doi.org/10.3390/plants11111411
   Google Scholar