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Agriculture
Special Issues
Development, Management and Application of Models and Databases in Agriculture
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Development, Management and Application of Models and Databases in Agriculture

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Crop Production".

Deadline for manuscript submissions: closed (10 December 2023) | Viewed by 3138

Special Issue Editors

Dr. Klára Pokovai

E-Mail Website
Guest Editor
Department of Soil Physics and Water Management, ISS CAR, Herman O. str. 15., 1022 Budapest, Hungary
Interests: crop model; leaf area measurement; crop growth and development; climate change; soil cultivation; C and N cycle modeling
Dr. Sándor Molnàr

E-Mail Website
Guest Editor
Department of Soil Physics and Water Management, ISS CAR, Herman O. str. 15., 1022 Budapest, Hungary
Interests: soil organic matter; C/N ratio in soil; specific surface area in soils; quaternary environmental history

Special Issue Information

Dear Colleagues,

Crop models and biogeochemical models are widely used to quantify the final crop yield, net primary production, plant nutrient requirement, soil organic carbon budget and greenhouse gas emission of croplands and the possible variations of systems’ performance due to environmental changes. The development of new methods and the evaluation of existing models against empirical data are crucial steps toward providing useful tools for the agricultural sector.

These models are driven by environmental data (most of all meteorological and soil information), while quantification of management also plays a major role in the calculations. Determining the model input parameters can be quite difficult, especially if the information is required for spatial modeling.

We welcome research on the following topics:

  • Application of models for agricultural production, for major but even more for minor crops;
  • Development and evaluation of models and procedures, sensitivity and uncertainty assessment;
  • Creating databases for testing models or parameterizing models;
  • Model calibration, verification and validation backed up with quantitative results;
  • Model comparison;
  • Model development;
  • Ensemble modelling;
  • Gridded modelling;
  • Providing solutions for any crop-modelling-related problems.

Both original research articles and review papers are invited.

Dr. Klára Pokovai
Dr. Sándor Molnàr
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. Agriculture 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

  • alternative crops
  • management options
  • user friendliness
  • data flow
  • model parametrization
  • calibration
  • climate change

Published Papers (3 papers)

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Research

22 pages, 8410 KiB  
Article
Gaps between Rice Actual and Potential Yields Based on the VPM and GAEZ Models in Heilongjiang Province, China
by Luoman Pu, Junnan Jiang, Menglu Ma and Duan Huang
Agriculture 2024, 14(2), 277; https://doi.org/10.3390/agriculture14020277 - 8 Feb 2024
Viewed by 842
Abstract
Heilongjiang Province is a significant region for grain production and serves as a crucial commodity grain production base in China. In recent years, due to the threat of declining cropland quality and quantity, coupled with the increasingly prominent demand for grain, there is [...] Read more.
Heilongjiang Province is a significant region for grain production and serves as a crucial commodity grain production base in China. In recent years, due to the threat of declining cropland quality and quantity, coupled with the increasingly prominent demand for grain, there is an urgent need to enhance rice yields in Heilongjiang Province. It is imperative to accurately identify the gaps between actual and potential grain yields and effectively implement yield-enhancing measures in regions with significant yield gaps. This study aimed to determine the rice reproductive periods of Heilongjiang Province for 2000, 2010, and 2020, estimate the rice actual yields using the Vegetation Photosynthesis Model (VPM), simulate the rice potential yields based on the Global Agro-Ecological Zones (GAEZ) Model, and then identify the rice yield gaps at the pixel level by calculating the rice absolute yield gap (AYG) and relative yield gap (RYG). Additionally, yield-enhancing measures were proposed for regions with significant yield gaps. The results were as follows. (1) The rice reproductive periods of Heilongjiang Province for 2000, 2010, and 2020 were determined as days 153~249, days 145~249, and days 137~249. (2) The mean rice actual yield and potential yields decreased by 1222 and 5941 kg ha−1 during the 2000–2020 period, respectively, and the total actual and potential production increased by 3.75 and 1.70 million tons in Heilongjiang Province, respectively. (3) The rice AYG and RYG in the Sanjiang Plain region, such as Jixi City, Hegang City, and Jiamusi City were relatively large compared to other regions for the three years, and the rice yield gaps continued to decrease during the 2000–2020 period. (4) With regard to the Sanjiang Plain region with a large rice yield gap, this study proposes measures to narrow the rice yield gap by establishing ecological protection forests on cropland, transforming low- and middle-yielding fields, increasing agricultural science and technology inputs, selecting better rice cultivars, etc., which are important for ensuring food security. Full article
(This article belongs to the Special Issue Development, Management and Application of Models and Databases in Agriculture)
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19 pages, 3408 KiB  
Article
Long-Term Simulated Direct N2O Emissions from German Oilseed Rape Cultivation below the IPCC Emission Factor
by Thomas Räbiger, Dorothee Neukam, Astrid Knieß, Ulf Böttcher, Henning Kage and Insa Kühling
Agriculture 2024, 14(1), 70; https://doi.org/10.3390/agriculture14010070 - 29 Dec 2023
Viewed by 782
Abstract
The low nitrogen (N)-use efficiency of intensive winter oilseed rape (WOSR) cropping systems may cause negative environmental impacts, especially due to N leaching and gaseous losses. The aim of this study was to use data from field experiments (five sites across Germany representing [...] Read more.
The low nitrogen (N)-use efficiency of intensive winter oilseed rape (WOSR) cropping systems may cause negative environmental impacts, especially due to N leaching and gaseous losses. The aim of this study was to use data from field experiments (five sites across Germany representing typical WOSR regions) for parametrization of a nitrous oxide (N2O) emission component for implementation into a process-based dynamic plant-soil-atmosphere model (PSAM). After calibration and evaluation with three years of field data from five different N fertilizer treatments, a long-term simulation with 25-year historical weather data was conducted to derive functional relations and emission factors (EFs). The model performed best at higher aggregation levels (cumulative emissions over the entire cropping period, R2 of 0.48/0.77 for calibration/evaluation), but also reasonably simulated short-term dynamics (e.g., fertilizer applications, extreme weather events). Site-specific and year-specific N2O emissions varied within the range of medians from 0.56–4.93 kg N2O-N ha−1. Mineral fertilizer-induced EFs at economic optimal N inputs ranged from 0.16–0.65%, which was markedly below the aggregated IPCC standard value of 1% for direct N2O emissions. Generally, the simulated emissions were consistently higher with finer soil textures and increasing N inputs. The process-based approach, moreover, allowed the identification of the major source of N2O, which mainly originated from nitrification processes. Full article
(This article belongs to the Special Issue Development, Management and Application of Models and Databases in Agriculture)
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13 pages, 9261 KiB  
Article
Soil Sulfur Deficiency Restricts Canola (Brassica napus) Productivity in Northwestern Russia Regardless of NPK Fertilization Level
by Aleksei Dobrokhotov, Ludmila Kozyreva, Mariia Fesenko, Victoria Dubovitskaya and Sofia Sushko
Agriculture 2023, 13(7), 1409; https://doi.org/10.3390/agriculture13071409 - 15 Jul 2023
Viewed by 1034
Abstract
Canola cultivation at high latitudes is becoming more promising in terms of modern climate change. Sustainable crop production requires an understanding of yield-limiting factors, which need to be adjusted in agricultural management first. Therefore, our study was aimed at examining the effect of [...] Read more.
Canola cultivation at high latitudes is becoming more promising in terms of modern climate change. Sustainable crop production requires an understanding of yield-limiting factors, which need to be adjusted in agricultural management first. Therefore, our study was aimed at examining the effect of climate and soil fertility factors on the canola yield from 2012 to 2015 in northwestern Russia. Simultaneously, effectiveness of chemical fertilizer (N65P50K50 and N100P75K75) rates was tested. Studied soils had light texture, high acidity and severe sulfur deficiency. Canola yield (Y) varied from 0.81 to 1.60 t·ha−1 for the observed period. Applied fertilizer increased Y by around 30%, but this change was not significant. Climate effect testing with the FAO-AquaCrop simulation showed no noticeable water and heat stresses for the study period (0% to 20% reduction in potential Y). Among the tested soil properties, the content of organic carbon, available nitrogen and sulfur significantly correlated with Y (r = 0.58–0.66). Combining these factors together with soil pH in a path model explained 60% of variability in Y. Importantly, sulfur had the highest and most significant effect in this model. Thus, this soil parameter is the main yield-limiting factor in the study area, which must be the first to be adjusted in agricultural practice. Full article
(This article belongs to the Special Issue Development, Management and Application of Models and Databases in Agriculture)
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