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Agronomy
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Ecophysiological Mechanism and Simulation Model of Plant Phenology in Response...
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Ecophysiological Mechanism and Simulation Model of Plant Phenology in Response to Climatic Change

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Innovative Cropping Systems".

Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 3694

Special Issue Editors

Prof. Dr. Guangsheng Zhou

E-Mail Website
Guest Editor
Chinese Academy of Meteorological Sciences, Beijing 100081, China
Interests: plant phenology; phenological change; climatic change impact; ecophysiological mechanism; simulation model
Dr. Qijin He

E-Mail Website
Guest Editor
College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China
Interests: agricultural meteorology; crop phenology; crop quality; climatic suitability; influencing mechanism

Special Issue Information

Dear Colleagues,

Plant phenology is an indispensable and important indicator for climate change research. In particular, the improvement of phenology simulation capabilities can significantly improve the accuracy of ecosystem productivity and carbon budget simulation, the ability to prevent agro-meteorological disasters, and the level of climate prediction. However, the existing phenological studies mainly focus on influencing mechanisms from single or a few climatic factors, and the phenological model simulation is insufficient.

The latest research shows that plant phenology is determined by the total climatic production factors determining plant productivity. It is necessary to reveal the mechanism of phenological changes driven by total climatic production factors as well as ecophysiological mechanisms of phenological changes, study the phenological trigger thresholds of total climatic production factors, and develop a new phenological model driven by total climatic production factors.

Original research papers are encouraged in this Special Issue. Topics may include (but are not limited to) the ecophysiological mechanism and simulation model of plant phenology in response to climatic change.

Prof. Dr. Guangsheng Zhou
Dr. Qijin He
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agronomy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • plant phenology
  • phenological change
  • climatic factors
  • influencing mechanism
  • simulation model

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Published Papers (2 papers)

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Research

19 pages, 5052 KiB  
Article
A Comprehensive Assessment of the Morphological Development of Inflorescence, Yield Potential, and Growth Attributes of Summer-Grown, Greenhouse Cherry Tomatoes
by Ionuț Ovidiu Jerca, Sorin Mihai Cîmpeanu, Răzvan Ionuț Teodorescu, Elena Maria Drăghici, Oana Alina Nițu, Sigurd Sannan and Adnan Arshad
Agronomy 2024, 14(3), 556; https://doi.org/10.3390/agronomy14030556 - 8 Mar 2024
Cited by 3 | Viewed by 1422
Abstract
Understanding how cherry tomatoes respond to variations in greenhouse microclimate is crucial for optimizing tomato production in a controlled environment. The present study delves into the intricate relationship between summer-grown cherry tomatoes (Cheramy F1) and greenhouse conditions, exploring the influence of [...] Read more.
Understanding how cherry tomatoes respond to variations in greenhouse microclimate is crucial for optimizing tomato production in a controlled environment. The present study delves into the intricate relationship between summer-grown cherry tomatoes (Cheramy F1) and greenhouse conditions, exploring the influence of these conditions on growth attributes, inflorescence development, and yield potential. The aim of the study was to characterize the chronology of reproductive events, specifically flowering and fruit stages, in correlation with the prevailing greenhouse climate during the development of the first ten inflorescences on the plant. The performance of each inflorescence has been ranked based on available data, which involve a comparative analysis of both the time duration (number of days) and the frequency of yield-contributing traits, specifically the total number of flowers at the anthesis stage. The duration of each stage required for completion was recorded and presented as a productivity rate factor. Greenhouse conditions exhibited variations during the vegetative and reproductive stages, respectively, as follows: temperature - 25.1 °C and 21.33 °C, CO2 levels - 484.85 ppm and 458.85 ppm, light intensity - 367.94 W/m2 and 349.52 W/m2, and humidity - 73.23% and 89.73%. The collected data conclusively demonstrated a substantial impact of greenhouse microclimate on plant growth, productivity, and inflorescence development. The development of flowers and fruit has been categorized into five stages: the fruit bud stage (FB), the anthesis stage (AS), the fruit setting stage (FS), the fruit maturation stage (FM), and the fruit ripening stage (FR). An irregular productivity and development response was noted across the first (close to roots) to the tenth inflorescence. Inflorescence 5 demonstrated the highest overall performance, followed by inflorescence numbers 4 and 6. The study findings provide valuable insights for enhancing greenhouse operations, emphasizing the improvement of both the yield and growth of cherry tomatoes while promoting environmental sustainability. A statistical analysis of variance was used to rigorously examine the presented results, conducted at a confidence level of p < 0.05. Full article
(This article belongs to the Special Issue Ecophysiological Mechanism and Simulation Model of Plant Phenology in Response to Climatic Change)
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16 pages, 3439 KiB  
Article
A Simulation Study on Optimization of Sowing Time of Maize (Zea mays L.) for Maximization of Growth and Yield in the Present Context of Climate Change under the North China Plain
by Yixuan Wu, Guangsheng Zhou, Yanling Song, Sanxue Ren, Jinjian Geng, Huarong Zhao and Xingyang Song
Agronomy 2023, 13(2), 385; https://doi.org/10.3390/agronomy13020385 - 28 Jan 2023
Cited by 4 | Viewed by 1656
Abstract
Adjusting the sowing dates of crops is an effective measure for adapting them to climate change, but very few studies have explained how the optimum sowing dates can be determined. In this study, we used the sowing date field data from 2018 to [...] Read more.
Adjusting the sowing dates of crops is an effective measure for adapting them to climate change, but very few studies have explained how the optimum sowing dates can be determined. In this study, we used the sowing date field data from 2018 to 2021 from Hebei Gucheng Agricultural Meteorology National Observation and Research Station to analyze the effects of the sowing date on growth, development, and yield of maize, and to quantify the impact of light-temperature potential productivity on different stages of the yield formation. The results showed that delayed sowing decreased the vegetative growth period (VGP) and increased the reproductive growth period (RGP) of maize. The light-temperature potential productivity of the whole growth (WG) period had an exponential relationship with the theoretical yield. At least 14,614.95 kg ha−1 of light-temperature potential productivity was needed to produce grain yield. The maximum theoretical yield was approximately 18,052.56 kg ha−1, as indicated by the curve simulation results. The influence of light-temperature potential productivity on theoretical yield was as follows: VGP > RGP > vegetative and reproductive period (VRP). Accordingly, a method for determining the sowing time window based on VGP was established, and the optimal sowing dates were estimated for 1995–2021 and the SSP2-4.5 scenario in CMIP6 in the middle of this century (2030–2060). The simulation results showed that the optimum sowing date of maize “Lianyu 1” at the study site was 20–25 May in 1995–2021. In the middle of this century, the optimal sowing time of maize was ahead of schedule and the suitable sowing window was increased slightly. We conclude that advancing the sowing date of maize is a practical strategy for enhancing yield in the context of climate warming, and this strategy will provide a meaningful reference for scientific optimization of sowing dates to adapt maize to climate change. Full article
(This article belongs to the Special Issue Ecophysiological Mechanism and Simulation Model of Plant Phenology in Response to Climatic Change)
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