Journal Description
Agronomy
Agronomy
is an international, peer-reviewed, open access journal on agronomy and agroecology published monthly online by MDPI. The Spanish Society of Plant Physiology (SEFV) is affiliated with Agronomy and their members receive discounts on the article processing charges.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE (Web of Science), PubAg, AGRIS, and other databases.
- Journal Rank: JCR - Q1 (Agronomy) / CiteScore - Q1 (Agronomy and Crop Science)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 15.8 days after submission; acceptance to publication is undertaken in 2.4 days (median values for papers published in this journal in the second half of 2023).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
- Companion journals for Agronomy include: Seeds, Agrochemicals, Grasses and Crops.
Impact Factor:
3.7 (2022);
5-Year Impact Factor:
4.0 (2022)
Latest Articles
Optimizing Crop Water Productivity in Greenhouse Pepper
Agronomy 2024, 14(5), 902; https://doi.org/10.3390/agronomy14050902 (registering DOI) - 25 Apr 2024
Abstract
Although advanced production systems have been developed in the last 20 years, water scarcity is still a growing problem in agriculture. This study aims to evaluate the effect of different strategies that combine the application of seaweed and microbial biostimulants with regulated deficit
[...] Read more.
Although advanced production systems have been developed in the last 20 years, water scarcity is still a growing problem in agriculture. This study aims to evaluate the effect of different strategies that combine the application of seaweed and microbial biostimulants with regulated deficit irrigation (RDI) strategies on the irrigation water productivity (WPI), fruit quality parameters and soil enzymatic activity in pepper plants (Capsicum annum sp.) under two commercial greenhouse conditions. In each trial, two treatments were applied: (i) irrigation according to Farmer criteria without biostimulant applications and (ii) a combined treatment of RDI and the same biostimulation program, composed of Bacillus paralicheniformis and Ascophillum nodosum extracts. RDI was applied in different phenological stages in each greenhouse after the establishment until the 1st harvest in trial 1 or during the ripening and harvest period in trial 2. On average, the irrigation was reduced by 600 m3 ha−1 compared to the Farmer irrigation schedule. In both trials, biostimulation promoted an increase in fruit numbers, punctually in trial 1, leading to yield precocity, or generally in trial 2, obtaining a higher yield. Globally, WPI was increased when RDI was combined with biostimulation. This combined treatment also enhanced the root water absorption and improved the soil enzymatic activity in both greenhouses, suggesting that nutrients in the soil would become more available to plants. Thus, the combined action of biostimulation under different RDI strategies has been proved to be a useful strategy to improve agricultural sustainability.
Full article
(This article belongs to the Special Issue Assessment and Mapping of Soil Water Balance)
Open AccessArticle
Assessment of Inter- and Intraspecific P Efficiency in Forage Legumes as Affected by Recycling Fertiliser
by
Yue Hu, Klaus J. Dehmer, Evelin Willner, Veysel Turan and Bettina Eichler-Löbermann
Agronomy 2024, 14(5), 901; https://doi.org/10.3390/agronomy14050901 (registering DOI) - 25 Apr 2024
Abstract
Legumes have a high demand for phosphorus (P) due to energetically costly biological nitrogen fixation, but they also have effective physiological and morphological strategies for P mobilization. To evaluate the inter- and intraspecific P efficiency of small-grain legumes supplied with different P recycling
[...] Read more.
Legumes have a high demand for phosphorus (P) due to energetically costly biological nitrogen fixation, but they also have effective physiological and morphological strategies for P mobilization. To evaluate the inter- and intraspecific P efficiency of small-grain legumes supplied with different P recycling fertilisers, eight accessions each of alfalfa (Medicago sativa L.) and red clover (Trifolium pratense L.) were cultivated in two pot experiments under greenhouse conditions until the flowering stage. To substantiate the results, some accessions were used in both experiments. Five treatments (no P, triple-superphosphate (TSP), sewage sludge ash (SSA), biowaste compost (compost), and struvite) were considered P sources. In addition to plant P uptake, the soil P pools were analysed in detail. Red clover showed higher yields and nutrient uptakes compared to alfalfa, but intraspecific effects were marginal. The addition of P resulted only partly in an increase in yield, despite the low P content in the soil. While struvite application clearly enhanced the P uptake of the plants in both experiments, SSA application had no effect compared to the control. The same treatment effect occurs with the bio-available soil P contents, which were on average 72.6 mg kg−1 after struvite and 44.3 mg kg−1 after SSA addition. Struvite as a P source was especially effective when applied to red clover. Our study aligns with previous field results and underscores the high potential of P mobilization of small-grain legumes without pronounced inter- or intraspecific differences. While struvite is suitable as a P fertiliser, the application of SSA to legumes is not recommended.
Full article
(This article belongs to the Special Issue Application of Organic Amendments in Agricultural Production—Volume II)
Open AccessArticle
Simulation Model for Assessing High-Temperature Stress on Rice
by
Haoyang Zhou, Xianguan Chen, Minglu Li, Chunlin Shi and Min Jiang
Agronomy 2024, 14(5), 900; https://doi.org/10.3390/agronomy14050900 (registering DOI) - 25 Apr 2024
Abstract
Rice is a staple grain crop extensively cultivated in Fujian Province, China. This study examined the impact of high-temperature stress on rice yield and its components, focusing on four representative rice varieties, including early and middle rice grown in Fujian Province. Results indicate
[...] Read more.
Rice is a staple grain crop extensively cultivated in Fujian Province, China. This study examined the impact of high-temperature stress on rice yield and its components, focusing on four representative rice varieties, including early and middle rice grown in Fujian Province. Results indicate significant yield losses, with the most severe reduction of 60.8% observed during the flowering stage of early rice and over 40% during the meiosis and flowering stages of middle rice. High-temperature stress primarily affects early rice yield more at the flowering stage than at the grain-filling stage, whereas in middle rice, it is more severe at the meiosis stage than at the flowering stage. Leveraging historical climatic data spanning the past 20 years, a simulation model for high-temperature stress on rice yield was developed to assess disaster-induced yield loss rates, aiming to enhance prevention and disaster damage assessment for rice under high-temperature stress. Application of the model to four rice planting sites in Fujian Province revealed contrasting temporal changes between loss rates and meteorological yield, with middle rice experiencing more severe damage than early rice. The model’s effectiveness is validated by the strong correspondence between yield loss rate and meteorological yield across different regions, highlighting its robust simulation capabilities.
Full article
(This article belongs to the Topic Advances in Crop Simulation Modelling)
Open AccessArticle
Enhancing Soil Aggregate Stability and Organic Carbon in Northwestern China through Straw, Biochar, and Nitrogen Supplementation
by
Jun Wu, Binqing Teng, Yuan Zhong, Xuejiao Duan, Lijuan Gong, Wanli Guo, Peng Qi, Fasih Ullah Haider and Liqun Cai
Agronomy 2024, 14(5), 899; https://doi.org/10.3390/agronomy14050899 (registering DOI) - 25 Apr 2024
Abstract
Enhancing soil stability through the incorporation of straw and biochar is well documented. Nevertheless, the combined impact of straw, biochar, and nitrogen supplementation on soil aggregates and organic carbon still needs to be explored, with limited attention given to various sieving methods in
[...] Read more.
Enhancing soil stability through the incorporation of straw and biochar is well documented. Nevertheless, the combined impact of straw, biochar, and nitrogen supplementation on soil aggregates and organic carbon still needs to be explored, with limited attention given to various sieving methods in the existing literature. Therefore, the current experiment used four sieving methods—routine wet sieving (RoutW), fast-wetting sieving (FastW), slow-wetting sieving (SlowW), and wetting–stirring sieving (WetS)—to investigate the effects of adding straw (0 or 4.5 t ha−1), biochar (from maize straw, 0 or 15 t ha−1), and N (0 or 100 kg ha−1) on soil aggregate stability and soil organic C in silt–loam soil of rainfed farmland in northwest China. The field experiment was started in 2014; soil samples were collected in 2021. The results revealed that straw returned, biochar, and N addition significantly increased soil mean weight diameter (MWD) and soil organic C (SOC). Compared to CN0 (zero-amendment) plots, straw returned with nitrogen addition (SN100) significantly increased the MWD of aggregates by 130.3% (RoutW), 121.66% (FastW), 73.94% (SlowW), and 91.78% (WetS) in the 0–30 cm soil layer. The addition of biochar and nitrogen (BN100) treatment showed the most significant effects on the relative slaking index (RSI), relative mechanical breakdown index (RMI), and SOC; compared with CN0 treatment, BN100 plots can reduce RSI and RMI by 42.90% and 54.66% and increase SOC by 53.27% for all soil layers. Therefore, adding organic materials with N can enhance the stability of soil aggregates and SOC of silt–loam soils in northwest China. Integrating biochar as an organic soil amendment in the agricultural practices of northwest China presents a multifaceted solution that addresses soil health, crop productivity, and environmental sustainability. The current study provides valuable insights that support adopting this innovative approach, paving the way for future sustainable agricultural practices that can benefit both the region and the global community.
Full article
(This article belongs to the Section Soil and Plant Nutrition)
Open AccessArticle
Broad-Spectrum Resistance and Monogenic Inheritance of Bacterial Blight Resistance in an Indigenous Upland Rice Germplasm ULR207
by
Tanawat Wongsa, Sompong Chankaew, Tidarat Monkham and Jirawat Sanitchon
Agronomy 2024, 14(5), 898; https://doi.org/10.3390/agronomy14050898 (registering DOI) - 25 Apr 2024
Abstract
Bacterial blight (BB) caused by Xanthomonas oryzae pv. Oryzae (Xoo) is a serious disease of rice worldwide that can reduce crop yield and affect food insecurity. A rice resistance variety is an alternate way to solve this problem. The broad-spectrum resistance
[...] Read more.
Bacterial blight (BB) caused by Xanthomonas oryzae pv. Oryzae (Xoo) is a serious disease of rice worldwide that can reduce crop yield and affect food insecurity. A rice resistance variety is an alternate way to solve this problem. The broad-spectrum resistance (BSR) of ULR207 is important for durable resistance to several of the Xoo isolates. However, the inheritance of this resistance gene in ULR207 must be known before it can be utilized. Thus, this study aimed to survey the BB resistance gene with reference to the BB resistance gene for identification of non-analogous or analogous genes and confirmation of a broad-spectrum resistance, to investigate the gene effect, the number of genes, and the heritability of the BB resistance gene in the ULR207 variety. Six populations of two crosses (Maled Phai × ULR207 and RD6 × ULR207), i.e., ULR207 (Donor parent), Maled Phai and RD6 (Recurrent parent), F1, F2, BC1P1, and BC1P2 were constructed. These materials were evaluated for BB resistance by clipping methods under greenhouse conditions using a virulence isolate of a pathogen in Thailand. The results showed that ULR207 exhibited the strongest against BB with 0.8 of BSR with low area under the disease progress curve (AUDPC). Molecular screening for surveying of the BB resistance gene in ULR207 revealed a non-analogous resistance gene with resistance check varieties. The phenotype of the disease lesion length of F2 and BC1P2 populations exhibited a ratio of 1:3 and 1:1 (resistant: susceptible), respectively, revealing a single recessive gene in both crosses. The scaling test parameters A, B, and C were non-significant (p < 0.01), indicating that variation in data was sufficiently explained by additive (d) and dominance (h) components. The gene action of ULR207 was controlled by additive gene action. Heritability of the two crosses, Maled Phai x ULR207 and RD6 x ULR207, exhibited high values with 0.817 and 0.716, whereas the numbers of the genes were 1.4 and 1.2, respectively. The result indicated that the breeding strategy could be employed in early generations when using ULR207 as a new source of bacterial blight resistance.
Full article
(This article belongs to the Special Issue Plant Genetic Resources and Biotechnology)
►▼
Show Figures
Figure 1
Open AccessArticle
Composted Green Waste as a Peat Substitute in Growing Media for Vinca (Catharanthus roseus (L.) G. Don) and Zinnia (Zinnia elegans Jacq.)
by
Li Ma and Lu Zhang
Agronomy 2024, 14(5), 897; https://doi.org/10.3390/agronomy14050897 (registering DOI) - 25 Apr 2024
Abstract
The purpose of this work was to explore the feasibility of replacing all or part of peat with composted green waste (CGW) for vinca (Catharanthus roseus (L.) G. Don) and zinnia (Zinnia elegans Jacq.) cultivation. Seven different growing media were prepared
[...] Read more.
The purpose of this work was to explore the feasibility of replacing all or part of peat with composted green waste (CGW) for vinca (Catharanthus roseus (L.) G. Don) and zinnia (Zinnia elegans Jacq.) cultivation. Seven different growing media were prepared as follows (volume/volume): T1, 100% CGW; T2, 80% CGW + 20% peat; T3, 60% CGW + 40% peat; T4, 50% CGW + 50% peat; T5, 40% CGW + 60% peat; T6, 20% CGW + 80% peat; and T7, 100% peat. In the course of the experiment, the physicochemical properties of the seven media were analyzed, and the growth of vinca and zinnia was determined. Studies showed that replacing peat completely or partially with CGW could significantly enhance the nutrient content, bulk density, water-holding capacity, total porosity, aeration porosity, water-holding porosity, organic matter, pH, and electrical conductivity of growing media. In comparison with what observed with T7 (control), shoot fresh weight (SFW), shoot dry weight (SDW), root fresh weight (RFW), root dry weight (RDW), plant height (HP), root length (RL), flower number (FN), total chlorophyll, and the content of chlorophyll a, chlorophyll b, and carotenoids in the leaves of vinca cultivated under T5 conditions increased by 36%, 34%, 84%, 27%, 34%, 25%, 157%, 62%, 60%, and 33%, respectively; SFW, SDW, RFW, RDW, HP, RL, FN, total chlorophylls, and the content of chlorophyll a, chlorophyll b, and carotenoids in the leaves of zinnia increased by 341%, 296%, 365%, 302%, 206%, 93%, 180%, 56%, 49%, 67%, 110%, respectively.
Full article
(This article belongs to the Topic Waste Management through Composting: Benefits, New Insights and Challenges)
►▼
Show Figures
Figure 1
Open AccessArticle
Effects of Dark Treatment on Lignin and Cellulose Synthesis in Celery
by
Shunhua Zhu, Xiulai Zhong, Xinqi Zhang, Aisheng Xiong, Qing Luo, Kun Wang, Mengyao Li and Guofei Tan
Agronomy 2024, 14(5), 896; https://doi.org/10.3390/agronomy14050896 (registering DOI) - 25 Apr 2024
Abstract
To clarify the impact of continuous dark stress on lignin and cellulose synthesis in celery, shade-tolerant celery varieties were screened. Yellow celery variety ‘Qianhuang No.1’ and green celery variety ‘Qianlv No.1’ were separately grown in vegetable greenhouses. Dark treatments were applied using PVC
[...] Read more.
To clarify the impact of continuous dark stress on lignin and cellulose synthesis in celery, shade-tolerant celery varieties were screened. Yellow celery variety ‘Qianhuang No.1’ and green celery variety ‘Qianlv No.1’ were separately grown in vegetable greenhouses. Dark treatments were applied using PVC shading sleeves for 4, 8, 12, and 16 d after celery had grown 10–13 true leaf blades. This study aimed to investigate the impact of varying periods of dark treatment on the morphological characteristics, lignin accumulation, and cellulose accumulation in celery. The results showed that dark treatment led to celery yellowing, a reduced stem thickness, and an increased plant height. Analysis of lignin and cellulose contents, as well as the expression of related genes, showed that dark treatment caused down-regulation of AgLAC, AgC3′H, AgCCR, AgPOD and AgCAD genes, leading to changes in lignin accumulation. Dark treatment inhibited the expression of the AgCesA6 gene, thus affecting cellulose synthesis. Under dark conditions, the expression of AgF5H and AgHCT genes had little effect on lignin content in celery, and the expression of the AgCslD3 gene had little effect on cellulose content. Analysis of morphological characteristics, lignin accumulation and cellulose accumulation after different lengths of dark treatment demonstrated that ‘Qianlv No.1’ is a shade-tolerant variety in contrast to ‘Qianhuang No.1’.
Full article
(This article belongs to the Section Horticultural and Floricultural Crops)
►▼
Show Figures
Figure 1
Open AccessReview
Algae as Crop Plants Being a Source of Bioactive Ingredients of Pharmaceutical and Dietary Importance
by
Agata Jabłońska-Trypuć
Agronomy 2024, 14(5), 895; https://doi.org/10.3390/agronomy14050895 (registering DOI) - 25 Apr 2024
Abstract
Algae are currently used in many areas, including dietetics, pharmacy, cosmetology and to increase the nutritional value of food and animal feed due to their chemical composition. They are a source of extremely valuable molecules, including polyunsaturated fatty acids and pigments. Algae are
[...] Read more.
Algae are currently used in many areas, including dietetics, pharmacy, cosmetology and to increase the nutritional value of food and animal feed due to their chemical composition. They are a source of extremely valuable molecules, including polyunsaturated fatty acids and pigments. Algae are also a valuable source of protein and almost all essential vitamins. They are rich in pigments such as chlorophyll, carotenoids and phycobiliproteins. These substances have a wide range of commercial applications. Due to its very intensive use, the demand for this plant raw material is constantly growing. Therefore, the methods of growing and harvesting algae are constantly improved in order to maximize the cultivation effect while minimizing costs and energy inputs. Future research should focus on improving algae cultivation and harvesting systems, with an emphasis on the possibility of genetic modifications that would allow even more efficient algae cultivation. This review summarizes methods of micro- and macroalgae cultivation, the chemical composition of selected algae species, which are important from the pharmaceutical, dietary and cosmetic points of view and therapeutic and dietary applications of compounds derived from different algae species. The key conclusion drawn from this article is that algae are an extremely valuable raw material, rich in numerous macro- and micronutrients necessary for humans, the acquisition of which is part of the currently important strategy of ecological policy for obtaining raw materials for various industries.
Full article
(This article belongs to the Special Issue Breeding, Propagation and Cultivation Techniques of Medicinal and Aromatic Plants)
►▼
Show Figures
Figure 1
Open AccessArticle
A Study of Kale Recognition Based on Semantic Segmentation
by
Huarui Wu, Wang Guo, Chang Liu and Xiang Sun
Agronomy 2024, 14(5), 894; https://doi.org/10.3390/agronomy14050894 (registering DOI) - 25 Apr 2024
Abstract
The kale crop is an important bulk vegetable, and automatic segmentation to recognize kale is fundamental for effective field management. However, complex backgrounds and texture-rich edge details make fine segmentation of kale difficult. To this end, we constructed a kale dataset in a
[...] Read more.
The kale crop is an important bulk vegetable, and automatic segmentation to recognize kale is fundamental for effective field management. However, complex backgrounds and texture-rich edge details make fine segmentation of kale difficult. To this end, we constructed a kale dataset in a real field scenario and proposed an UperNet semantic segmentation model with a Swin transformer as the backbone network and improved the model according to the growth characteristics of kale. Firstly, a channel attention module (CAM) is introduced into the Swin transformer module to improve the representation ability of the network and enhance the extraction of kale outer leaf and leaf bulb information; secondly, the extraction accuracy of kale target edges is improved in the decoding part by designing an attention refinement module (ARM); lastly, the uneven distribution of classes is solved by modifying the optimizer and loss function to solve the class distribution problem. The experimental results show that the improved model in this paper has excellent performance in feature extraction, and the average intersection and merger ratio (mIOU) of the improved kale segmentation can be up to 91.2%, and the average pixel accuracy (mPA) can be up to 95.2%, which is 2.1 percentage points and 4.7 percentage points higher than the original UperNet model, respectively, and it effectively improves the segmentation recognition of kale.
Full article
(This article belongs to the Special Issue Effects of Integrated Environment Management on Crop Photosynthesis)
►▼
Show Figures
Figure 1
Open AccessArticle
Management Efficacy and Response to Post-Application Precipitation of Fungicides for Southern Stem Rot of Peanut and Evaluation of Co-Application with Micronized Sulfur
by
Daniel J. Anco, Justin Hiers and Brendan Zurweller
Agronomy 2024, 14(5), 893; https://doi.org/10.3390/agronomy14050893 (registering DOI) - 25 Apr 2024
Abstract
Southern stem rot (SSR) is caused by Athelia rolfsii and is an economically important disease of peanut (Arachis hypogaea L.). Application of protectant fungicides is an effective management component for reducing levels of this soil-borne disease. The majority of peanut hectarage in
[...] Read more.
Southern stem rot (SSR) is caused by Athelia rolfsii and is an economically important disease of peanut (Arachis hypogaea L.). Application of protectant fungicides is an effective management component for reducing levels of this soil-borne disease. The majority of peanut hectarage in South Carolina and Mississippi is rainfed. Timely precipitation has the potential to aid the movement of foliar-applied fungicides through the canopy and into contact with soil interfaces where SSR infections occur. Questions have arisen as to the quantitative relationship of post-application precipitation and fungicide-active ingredient efficacy in managing SSR and protecting associated pod yield potentials. To examine this, fungicide efficacy experiments were screened for inclusion in a meta-analysis, from which eleven experiments conducted from 2015 to 2023 were selected and paired with environmental data from nearby weather stations. Precipitation during the two days following fungicide application was associated with significant reduction in SSR incidence (logit rate of −0.0039/mm) and increased pod yield (log slope of 0.0028/mm). Active ingredient interactions with precipitation among pod yield but not SSR incidence data were present for benzovindiflupyr plus azoxystrobin, flutolanil, and tebuconazole. Fungicides with the greatest levels of control per application at maximum label rates were inpyrfluxam (18.8%), benzovindiflupyr plus azoxystrobin (15.4%), flutolanil (12.3%), and prothioconazole plus tebuconazole (10.5%). Micronized sulfur neither contributed to SSR control nor pod yield increase. Tebuconazole was associated with the greatest % SSR control per fungicide product cost (0.47%/$/ha/application) but was also the treatment with the least amount of control (3.5%) at its maximum label rate. Maximum label rates of benzovindiflupyr plus azoxystrobin (USD 637) and inpyrfluxam (USD 548) were estimated as conferring the greatest returns over the chlorothalonil-only control. Results serve as a helpful reference for farmers and practitioners in selecting fungicide management options and targeting application times, as feasible, to utilize natural precipitation to improve management outcomes.
Full article
(This article belongs to the Special Issue Pest Control Technologies Applied in Peanut Production Systems)
►▼
Show Figures
Figure 1
Open AccessArticle
Organic vs. Integrated-Production Agriculture Farming: Which Grapevine Stress-Responsive Genes Are Affected by the Application of Resistance Inducers and Elicitors?
by
Tomás Monteiro, Mariana Patanita, Maria do Rosário Félix, André Albuquerque, Joana A. Ribeiro, Filipa Santos, Margarida Basaloco, Augusto Maria da Rosa and Maria Doroteia Campos
Agronomy 2024, 14(5), 892; https://doi.org/10.3390/agronomy14050892 (registering DOI) - 25 Apr 2024
Abstract
With the rising prominence of organic farming systems in European Union countries, motivated by agricultural policies, there is pressure for effective disease management strategies. To address this challenge, the use of plant resistance inducers (PRIs) and elicitors has emerged as a promising approach.
[...] Read more.
With the rising prominence of organic farming systems in European Union countries, motivated by agricultural policies, there is pressure for effective disease management strategies. To address this challenge, the use of plant resistance inducers (PRIs) and elicitors has emerged as a promising approach. In this study, we compared the impact of integrated production with organic agriculture farming practices, specifically applying PRIs and elicitors in the latter, on the expression levels of stress-responsive genes in two grapevine cultivars, ‘Alicante Bouschet’ and ‘Trincadeira’. Our findings revealed that the organic farming system led to upregulation of eight of the 12 studied genes in at least one cultivar, indicating a significant influence of production mode. The upregulated genes were associated with plant stress-responsive genes (PR1, PR2, PR4, and TLP9), sugar metabolism (HT5), phenylpropanoids (STS1), enzymes related to jasmonic acid synthesis and response to biotic stresses, respectively (LOX, PER42). Also, the ‘Alicante Bouschet’ cultivar consistently displayed significantly higher levels of transcript accumulation on most of the stress-related genes compared to the ‘Trincadeira’ cultivar in both production modes. Our study provides valuable insights into the effectiveness of PRIs and elicitors in increasing plant expression levels of stress-responsive genes, leading to greater resilience to pathogen attacks and emphasizing their position in organic agriculture.
Full article
(This article belongs to the Special Issue Sustainable Strategies for the Control of Crop Diseases and Pests to Reduce Pesticides)
►▼
Show Figures
Figure 1
Open AccessArticle
Evaluation of Quality Traits in Relation to Mechanical Harvesting for Screening Excellent Materials in Gossypium barbadense L. Germplasm Resources
by
Feng Lin, Meng Wang, Nan Zhao, Yubo Zhang, Weiran Wang, Jing Yang, Sumei Wan, Jianping Li, Alifu Aierxi, Guodong Chen and Jie Kong
Agronomy 2024, 14(5), 891; https://doi.org/10.3390/agronomy14050891 (registering DOI) - 24 Apr 2024
Abstract
Sea Island cotton is renowned for its superior fiber quality. Although mechanical harvesting has the potential to significantly increase efficiency and reduce the production cost of Sea Island cotton, there is still little research in this area. In this study, we analyzed 240
[...] Read more.
Sea Island cotton is renowned for its superior fiber quality. Although mechanical harvesting has the potential to significantly increase efficiency and reduce the production cost of Sea Island cotton, there is still little research in this area. In this study, we analyzed 240 Sea Island cotton germplasm resources and evaluated 19 traits related to mechanical harvesting. The coefficient of variation ranged from 5.42% to 66.96%, and the genetic diversity index spanned from 1.57 to 2.07. In most traits studied, there was a strong correlation between the height of the first fruiting branch and the defoliation rate. The 19 traits were categorized into 6 factorial groups by principal component analysis, in which the defoliation factor contributed the most (30.89%). The cluster analysis divided the 240 cotton accessions into four main groups, with the second group exhibiting favorable mechanical harvesting characteristics such as higher defoliation rate and first fruit branch height. Using stepwise regression, a model was constructed with the joint evaluation score F-value as the response variable and eight traits (X1: PH, X2: SNB, X3: SBN, X4: MBL, X5: AFBM, X7: MLIA, X8: NB, and X13: 15 d DR) as predictors: Y = −7.2 + 0.01X1 + 0.23X2 + 0.192X3 + 0.038X4 + 0.007X5 + 0.014X7 + 0.025X8 + 2.952X13. Selected materials suitable for machine harvesting, such as MoShi729, were identified. This study provides valuable theoretical insights into the mechanical harvesting of Sea Island cotton germplasm resources and identifies promising materials for targeted breeding and improvement programs.
Full article
(This article belongs to the Special Issue Utilizing Genetic Resources for Agronomic Traits Improvement: Series II)
Open AccessArticle
Developing an Effective Push–Pull System for Managing Outbreaks of the Invasive Pest Bactrocera dorsalis (Diptera: Tephritidae) in Nephelium lappaceum Orchards
by
Jian Wen, Zhe Shan, Yan Zou, Xianwu Lin, Zhifu Cui, Rihui Yan and Fengqin Cao
Agronomy 2024, 14(5), 890; https://doi.org/10.3390/agronomy14050890 - 24 Apr 2024
Abstract
Outbreaks of the oriental fruit fly, Bactrocera dorsalis (Hendel), present significant challenges to global fruit production, necessitating effective control measures that minimize environmental risks and pesticide resistance. This study aimed to develop and evaluate the effectiveness of four distinct push–pull control strategies for
[...] Read more.
Outbreaks of the oriental fruit fly, Bactrocera dorsalis (Hendel), present significant challenges to global fruit production, necessitating effective control measures that minimize environmental risks and pesticide resistance. This study aimed to develop and evaluate the effectiveness of four distinct push–pull control strategies for managing B. dorsalis outbreaks in a Nephelium lappaceum orchard. These strategies involved the inclusion of low-concentration abamectin, spraying repellent with a drone or manually, using methyl eugenol (ME) or food bait and employing either two types of attractants and repellents or a single type. The findings indicated that incorporating the low-concentration abamectin into the push–pull system, utilizing ME as an attractant instead of food lures and manually applying abamectin and attractants were all effective in reducing the B. dorsalis population size and minimizing fruit damage. While increasing the diversity of repellents and attractants enhanced the long-term effectiveness of the system, it did not result in a significant decrease in B. dorsalis population size or fruit damage rate compared to using a single repellent or attractant. In conclusion, the push–pull strategy emerged as a viable method for managing B. dorsalis outbreaks, offering potential benefits in reducing environmental risks and pesticide resistance. However, the study underscored the importance of the context-specific construction of push–pull strategies to optimize their effectiveness in orchard settings.
Full article
(This article belongs to the Special Issue Pests, Pesticides, Pollinators and Sustainable Farming)
►▼
Show Figures
Figure 1
Open AccessArticle
Biochar Application Combined with Water-Saving Irrigation Enhances Rice Root Growth and Nitrogen Utilization in Paddy Fields
by
Zuohe Zhang, Zhongxue Zhang, Zhenping Gong, Tiecheng Li, Tangzhe Nie, Peng Chen, Yu Han and Li Xue
Agronomy 2024, 14(5), 889; https://doi.org/10.3390/agronomy14050889 (registering DOI) - 24 Apr 2024
Abstract
To improve nitrogen use efficiency (NUE) during rice cultivation, it is essential to comprehend the morphological and physiological traits of rice roots. However, in high-fertility black soil regions of Northeast China, the effects of combining biochar application with water-saving irrigation (WSI)
[...] Read more.
To improve nitrogen use efficiency (NUE) during rice cultivation, it is essential to comprehend the morphological and physiological traits of rice roots. However, in high-fertility black soil regions of Northeast China, the effects of combining biochar application with water-saving irrigation (WSI) conditions on rice root development and nitrogen utilization are still unknown. To address this knowledge gap, a combination of field experiments and 15N tracer micro-area investigations was conducted in this study. Four treatments were implemented: (i) controlled irrigation without biochar application (CB0); (ii) controlled irrigation with 2.5 t ha−1 biochar application (CB1); (iii) controlled irrigation with 12.5 t ha−1 biochar application (CB2); and (iv) controlled irrigation with 25 t ha–1 biochar application (CB3). Flooded irrigation conditions without biochar treatment (FB0) were used as the control. The primary objective of this research was to identify the mechanisms by which combined WSI conditions and biochar application affect rice root development and nitrogen utilization. Biochar application enhanced rice root morphological and physiological characteristics. Optimal biochar application increased the longest root length (RL), root volume (RV), root fresh weight (RFW), root active absorption area, root bleeding intensity, and root activity (RA) of rice while also optimizing the root–shoot ratio and facilitating nitrogen absorption by roots. These changes in root morphological and physiological characteristics facilitated the absorption of fertilizer-15N and soil nitrogen by rice roots, ultimately leading to improvements in rice yields and NUEs. Notably, the rice yields, NUE, nitrogen agronomic efficiency (NAE), and nitrogen partial factor productivity (NPFP) of CB2 plants were 16.45%, 39.42%, 24.48%, and 16.45% higher than those of FB0 plants, respectively. These results highlight the effectiveness of biochar application as a strategy to ensure food security and enhance NUE under WSI conditions. Furthermore, this study suggests that the recommended optimal application amount of biochar for the black soil area of Northeast China is 12.5 t ha−1.
Full article
(This article belongs to the Special Issue Effects of Biochar Application on Crop Productivity, Soil Carbon Sequestration, and Others)
►▼
Show Figures
Figure 1
Open AccessArticle
Effect of Mild Organic Substitution on Soil Quality and Microbial Community
by
Yijun Wang, Yu Xu, Lihua Jiang, Yan Yang, Jing Shi, Xilin Guan, Tao Sun, Huanyu Zhao, Yafei Wang and Yumin Liu
Agronomy 2024, 14(5), 888; https://doi.org/10.3390/agronomy14050888 - 24 Apr 2024
Abstract
Mild organic substitution is advantageous for sustainable agricultural development. In order to determine the proper fertilization strategy, it is essential to investigate the impact of substituting chemical fertilizers with varying levels of organic manure on soil nutrients, microbial communities, and crop productivity. Four
[...] Read more.
Mild organic substitution is advantageous for sustainable agricultural development. In order to determine the proper fertilization strategy, it is essential to investigate the impact of substituting chemical fertilizers with varying levels of organic manure on soil nutrients, microbial communities, and crop productivity. Four treatments were implemented: no fertilizer, sole chemical fertilizer, 20% organic manure substitution, and 40% organic manure substitution. Bacterial and fungal communities were characterized through high-throughput sequencing of the 16S rRNA gene V3–V4 region and the V4 region, respectively. The 20% and 40% organic manure substitutions increased soil organic matter (SOM) content, total nitrogen (TN) content, and reduced soil pH compared to the control (CK). The 20% organic manure substitution showed the most significant improvements in soil alkaline phosphatase, urease, and invertase activities. Soil nutrient enhancement increased bacterial alpha diversity, with a milder impact on fungal alpha diversity compared to bacteria. Different fertilization treatments elevated the relative abundance of bacterial Bacteroidetes (8.11%, 21.25%, and 1.88%), Actinomycetes (12.65%, 26.36%, and 15.33%), and fungal Ascomycota (16.19%, 10.44%, and 12.69%), known for degrading recalcitrant organic matter. The sole chemical fertilizer treatment increased the pathogenic Cheatotryiales. Shared species, primarily from bacterial Actinomycetes, Firmicutes, Proteobacteria, and fungal Ascomycota phyla, were found at 20% and 40% organic manure substitution levels. Specifically, the 20% organic manure substitution level promoted the relative abundance of beneficial plant growth-promoting taxa, Oxalobacteraceae and Massilia, and suppressed pathogens, with an increase in the relative abundance of the Purpureocillium genus and Mortierellomycota. These findings suggest that a 20% OF substitution can maintain crop yield, enhance soil nutrients and enzyme activities by fostering beneficial soil bacteria, inhibiting soil-borne pathogens, and refining microbial community structure.
Full article
(This article belongs to the Special Issue Effect of Fertilization on Soil Quality)
►▼
Show Figures
Figure 1
Open AccessArticle
Effects of Straw Amendment in Combination with Synthetic N Fertilizer Addition on N2O, N2, and Their Stoichiometric Ratios in Three Different Agro-Ecosystems
by
Fiston Bizimana, Wenxu Dong, Arbindra Timilsina, Md Raseduzzaman, Xiaoxin Li, Yuming Zhang and Chunsheng Hu
Agronomy 2024, 14(5), 887; https://doi.org/10.3390/agronomy14050887 - 24 Apr 2024
Abstract
Nitrogen (N) fertilizer and crop residue amendments are important agricultural practices that could increase soil health, fertility, and crop yield. Such practices may also change soil denitrification processes where contradictory observations have been reported on soil N2O emissions with fewer studies
[...] Read more.
Nitrogen (N) fertilizer and crop residue amendments are important agricultural practices that could increase soil health, fertility, and crop yield. Such practices may also change soil denitrification processes where contradictory observations have been reported on soil N2O emissions with fewer studies on N2 emissions due to its large atmospheric background concentrations limiting its soil-borne measurement. This study aims to investigate N2O production and reduction of N2 emissions under a conducive denitrifying environment (like anaerobic microsites, 80% WFPS, available N and C) after rice straw amendment and KNO3 application to three different soil types (fluvo-aquic, black, and paddy soils). In this regard, three treatments for three different soil types were set consisting of (a) a non-amended treatment (control), (b) a KNO3 treatment (KNO3, 20 mM KNO3), and (c) a straw plus KNO3 treatment (2.5 g rice straw kg−1 dry soil and 20 mM KNO3), which were incubated under 80% WFPS. Moreover, direct N2O and N2 fluxes were measured over 17 days in the current incubation experiment with a robotized incubation system using a helium atmosphere. Results showed that rice straw amendment combined with N fertilizer increased both N2O and N2 fluxes compared with control or KNO3 treatments in all three soil types. Overall, compared with the black and paddy soils, the N2O and N2 fluxes were higher in the fluvo-aquic soil, with a maximum of 234.2 ± 6.3 and 590.1 ± 27.3 g N ha−1 from F_SK treatment, respectively, during the incubation period. The general trends in three soil types of both N2O and N2 emissions were control < KNO3 < rice straw plus KNO3 treatments. Straw amendment in combination with KNO3 can stimulate a high denitrification rate (less N2O and higher N2), whereas their effect on stoichiometric ratios of N2O/(N2O + N2) highly depends on soil nitrate concentration, oxygen level, soil moisture content, and labile C. The current study underscores that the rice straw amendment in combination with N fertilizer can trigger denitrification with less increment on soil N2O but higher N2 emissions under conditions favoring denitrification.
Full article
(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)
►▼
Show Figures
Figure 1
Open AccessArticle
Soil Fertility and Bacterial Community Composition in Response to the Composting of Biochar-Amended Chicken Manure
by
Longjun Chen, Hui Zhang, Xianbo Jia, Yu Fang and Chenqiang Lin
Agronomy 2024, 14(5), 886; https://doi.org/10.3390/agronomy14050886 - 24 Apr 2024
Abstract
Amidst the burgeoning expanse of the poultry sector, the escalation of chicken manure production has ensued, potentially exacerbating ecological contamination. However, the application of chicken manure is bound to transmute the habitat of edaphic microorganisms, precipitating an alteration in the soil’s microbial consortium.
[...] Read more.
Amidst the burgeoning expanse of the poultry sector, the escalation of chicken manure production has ensued, potentially exacerbating ecological contamination. However, the application of chicken manure is bound to transmute the habitat of edaphic microorganisms, precipitating an alteration in the soil’s microbial consortium. The composting of biochar-amended chicken manure and wood chips (biochar composting products, BCPs) was used to improve Chinese cabbage (Brassica campestris L.) production and regulate soil properties and bacterial community structure. On the 40th day of Chinese cabbage growth, soil and Chinese cabbage were collected for laboratory analysis. The effects of different proportions of BCPs (0, 1%, 3%, 5% and 7% biochar) on soil fertility, enzyme activity, the microbial community and the growth of Chinese cabbage were studied under facility conditions. The results showed that the growth performance and quality of Chinese cabbage were significantly increased with increasing BCP ratios. Soil fertility indicators including pH, AN, AP, AK and SOM were significantly increased, except for the pH value in the 1% BCP group. The activities of phosphatase, catalase and urease were increased for all groups of BCP treatment. The soil microbial community response was significantly different, and the application of 5% and 7% BCPs reduced the abundance, diversity and evenness of soil bacteria. Chinese cabbage growth performance was positively correlated with an increase in BCP supplemental levels in the range of 3–5%. Also, the abundance, diversity and uniformity of the soil microbial community were improved in the 3% BCP treatment group. Therefore, the dominant bacterial phyla were Bacteroidetes, Actinobacteriota, Gemmatimonadota, Myxococcota, Bdellovibrionota and Firmicutes, especially the Bradyrhizobium of Proteobacteria. BCP treatment reduced the degradation of soil organic matter. In addition, it also improved the relative abundance of sequences associated with improving soil fertility. Collectively, these findings offer insights for the re-evaluation of application management strategies for BCP organic fertilizers.
Full article
(This article belongs to the Section Soil and Plant Nutrition)
►▼
Show Figures
Figure 1
Open AccessArticle
Herbicidal Activity of Cinmethylin against Grass Weeds and Its Safety for Use with Different Wheat Varieties
by
Hongle Xu, Qiuli Leng, Wangcang Su, Lanlan Sun, Jingping Cheng and Renhai Wu
Agronomy 2024, 14(5), 885; https://doi.org/10.3390/agronomy14050885 - 24 Apr 2024
Abstract
Cinmethylin is a potential pre-emergence herbicide that could be used to control grass weeds in winter cereals. To determine the herbicidal activity of cinmethylin against common gramineous weeds in wheat fields in China and its level of safety on wheat, we conducted the
[...] Read more.
Cinmethylin is a potential pre-emergence herbicide that could be used to control grass weeds in winter cereals. To determine the herbicidal activity of cinmethylin against common gramineous weeds in wheat fields in China and its level of safety on wheat, we conducted the following experiments: (i) assessing the efficacy of cinmethylin against 11 grass weeds and (ii) determining its safety against 19 wheat varieties. The results showed that cinmethylin had good herbicidal efficacy against annual bluegrass (Poa annua L.), shortawn foxtail (Alopecurus aequalis Sobol.), slender meadow foxtail (Alopecurus myosuroides Huds.), Japanese foxtail (Alopecurus japonicus Steud.), Italian ryegrass (Lolium multiflorum Lam.), British timothy (Phleum paniculatum Huds.), Asia Minor bluegrass (Polypogon fugax Nees ex Steud.), Helictotrichon tibeticum (Roshev.) Holub., and wild oat (Avena fatua L.), with a GR50 (the herbicide dose resulting in 50% growth inhibition) value of 4.50–99.21 g a.i. ha−1 in plant height and 1.43–70.34 g a.i. ha−1 in fresh weight. However, cinmethylin cannot control Japanese brome (Bromus japonicus L.) or Tausch’s goatgrass (Aegilops tauschii Coss.) at a dose of 200 g a.i. ha−1. Different wheat varieties varied in their phytotoxicity to cinmethylin. Overall, there is a phytotoxicity risk when using cinmethylin on wheat, mainly to wheat roots, with a reduction in root length of 40.81–64.09% at a dose of 400 g a.i. ha−1. These findings indicate that the pre-emergence herbicide cinmethylin provides good efficacy against most grass weeds and may possess potential for weed management in wheat fields. However, attention should be given to the application dosage and the sensitivity of wheat varieties when using cinmethylin in wheat fields.
Full article
(This article belongs to the Special Issue Herbicides Toxicology and Weeds Herbicide-Resistant Mechanism—Series II)
►▼
Show Figures
Figure 1
Open AccessArticle
Study on the Mechanism of Slow-Release Fertilizer and Nitrogen Fertilizer on the Senescence Characteristics of Quinoa Leaves
by
Jingying Lu, Qi Zhang, Xiaojing Sun, Yan Deng, Hongxia Guo, Chuangyun Wang and Li Zhao
Agronomy 2024, 14(5), 884; https://doi.org/10.3390/agronomy14050884 - 24 Apr 2024
Abstract
The objective of this study was to investigate how nitrogen and slow-release fertilizers affect the traits of leaf senescence and quinoa production in order to explore the optimal slow-release fertilizer and nitrogen fertilizer ratios suitable for quinoa production, as well as to provide
[...] Read more.
The objective of this study was to investigate how nitrogen and slow-release fertilizers affect the traits of leaf senescence and quinoa production in order to explore the optimal slow-release fertilizer and nitrogen fertilizer ratios suitable for quinoa production, as well as to provide theoretical references for the planting of quinoa fertilization methods and fertilizer amount. In this experiment, the main local strain Quinoa 77 was selected as the experimental material, and six treatments were set up: CK: no nitrogen fertilizer; T1: 100% urea (N); T2: 100% slow-release fertilizer (C); T3: 5:5 (C5N5); T4: 3:7 (C3N7); and T5: 7:3 (C7N3). This was done in order to investigate how various treatments affect the activities of catalase (CAT), peroxidase (POD), and superoxide dismutase (SOD); malondialdehyde (MDA) content; and yield of quinoa leaves. The findings revealed the following: (1) As the reproductive period progressed, the activities of CAT, POD, and SOD in quinoa leaves treated differently showed a tendency to increase and subsequently decrease, and they reached the peak value at the early stage of filling. The activity of CAT, POD, and SOD in the T3 treatment was the highest, and the average activities were 3148.74 U·g−1, 2197.84 U·g−1, and 118.51 U·g−1, respectively, which increased by 78.90%, 101.99%, and 108.14%, respectively, compared with CK. The content of MDA continued to increase with the progress of fertility. The average T3 treatment was 36.41 nmol·g−1, which was 46.87% lower than that of CK. (2) Out of all the treatments, T3 had the highest yield with an average of 3829.43 kg·hm−2, T5 the second with an average of 3313.52 kg·hm−2, and T4 the third with 2847.47 kg·hm−2, which increased yields by 96.18%, 69.75%, and 45.87%, respectively, compared with CK. (3) Yield was highly significantly and positively correlated with thousand kernel weight; number of grains per spike per plant; and the early filling stages of CAT, POD, and SOD sports, and it had a negative, extremely significant correlation with MDA content. Comprehensive analysis showed that slow-release fertilizer and nitrogen fertilizer can improve the antioxidant enzyme activity of quinoa leaves, inhibit MDA content, improve the physiological characteristics of quinoa, and delay the purpose of leaf senescence, with a better effect of yield and income, of which the T3 treatment had the high-quality impact of increasing yields and was a more scientific and reasonable fertilization method.
Full article
(This article belongs to the Section Plant-Crop Biology and Biochemistry)
►▼
Show Figures
Figure 1
Open AccessArticle
Time Series Field Estimation of Rice Canopy Height Using an Unmanned Aerial Vehicle-Based RGB/Multispectral Platform
by
Ziqiu Li, Xiangqian Feng, Juan Li, Danying Wang, Weiyuan Hong, Jinhua Qin, Aidong Wang, Hengyu Ma, Qin Yao and Song Chen
Agronomy 2024, 14(5), 883; https://doi.org/10.3390/agronomy14050883 - 23 Apr 2024
Abstract
Crop plant height is a critical parameter for assessing crop physiological properties, such as above-ground biomass and grain yield and crop health. Current dominant plant height estimation methods are based on digital surface model (DSM) and vegetation indexes (VIs). However, DSM-based methods usually
[...] Read more.
Crop plant height is a critical parameter for assessing crop physiological properties, such as above-ground biomass and grain yield and crop health. Current dominant plant height estimation methods are based on digital surface model (DSM) and vegetation indexes (VIs). However, DSM-based methods usually estimate plant height by growth stages, which would result in some discontinuity between growth stages due to different fitting curves. Additionally, there has been limited research on the application of VI-based plant height estimation for multiple crop species. Thus, this study investigated the validity and challenges associated with these methods for estimating canopy heights of multi-variety rice throughout the entire growing season. A total of 474 rice varieties were cultivated in a single season, and RGB images including red, green, and blue bands, DSMs, multispectral images including near infrared and red edge bands, and manually measured plant heights were collected in 2022. DSMs and 26 commonly used VIs were employed to estimate rice canopy heights during the growing season. The plant height estimation using DSMs was performed using different quantiles (50th, 75th, and 95th), while two-stage linear regression (TLR) models based on each VI were developed. The DSM-based method at the 95th quantile showed high accuracy, with an R2 value of 0.94 and an RMSE value of 0.06 m. However, the plant height estimation at the early growth stage showed lower effectiveness, with an R2 < 0. For the VIs, height estimation with MTCI yielded the best results, with an R2 of 0.704. The first stage of the TLR model (maximum R2 = 0.664) was significantly better than the second stage (maximum R2 = 0.133), which indicated that the VIs were more suitable for estimating canopy height at the early growth stage. By grouping the 474 varieties into 15 clusters, the R2 values of the VI-based TLR models exhibited inconsistencies across clusters (maximum R2 = 0.984; minimum R2 = 0.042), which meant that the VIs were suitable for estimating canopy height in the cultivation of similar or specific rice varieties. However, the DSM-based method showed little difference in performance among the varieties, which meant that the DSM-based method was suitable for multi-variety rice breeding. But for specific clusters, the VI-based methods were better than the DSM-based methods for plant height estimation. In conclusion, the DSM-based method at the 95th quantile was suitable for plant height estimation in the multi-variety rice breeding process, and we recommend using DSMs for plant height estimation after 26 DAT. Furthermore, the MTCI-based TLR model was suitable for plant height estimation in monoculture planting or as a correction for DSM-based plant height estimation in the pre-growth period of rice.
Full article
(This article belongs to the Special Issue AI, Sensors and Robotics for Smart Agriculture—2nd Edition)
►▼
Show Figures
Figure 1
Journal Menu
► ▼ Journal Menu-
- Agronomy Home
- Aims & Scope
- Editorial Board
- Reviewer Board
- Topical Advisory Panel
- Instructions for Authors
- Special Issues
- Topics
- Sections & Collections
- Article Processing Charge
- Indexing & Archiving
- Editor’s Choice Articles
- Most Cited & Viewed
- Journal Statistics
- Journal History
- Journal Awards
- Society Collaborations
- Conferences
- Editorial Office
Journal Browser
► ▼ Journal BrowserHighly Accessed Articles
Latest Books
E-Mail Alert
News
Topics
Topic in
Agronomy, Agriculture, Crops, Seeds
Advances in Industrial Crops Physioecology and Sustainable Cultivation
Topic Editors: Wei Hu, Zhiguo Zhou, Wenqing ZhaoDeadline: 30 April 2024
Topic in
Agronomy, Climate, Earth, Remote Sensing, Water
Advances in Crop Simulation Modelling
Topic Editors: Mavromatis Theodoros, Thomas Alexandridis, Vassilis AschonitisDeadline: 15 June 2024
Topic in
Agronomy, Beverages, Fermentation, Horticulturae, Plants
Grapevine Facing Climate Change: From Land, through Plants to Grapes and Wine
Topic Editors: Othmane Merah, Ana Fernandes De Oliveira, Daniela Satta, Mario Cunha, Jesus Yuste, Jalloul BouajilaDeadline: 30 June 2024
Topic in
Agronomy, Environments, Microorganisms, Pollutants, Sustainability, Water
Soil and Water Pollution Process and Remediation Technologies, 2nd Volume
Topic Editors: Hongbiao Cui, Ru Wang, Yu Shi, Haiying Lu, Lin ChenDeadline: 15 July 2024
Conferences
Special Issues
Special Issue in
Agronomy
Fruits Crops Improvements in View of Marker Development, Genetic Diversity, Population Structure Traits Tagging and GWAS
Guest Editor: Manosh BiswasDeadline: 1 May 2024
Special Issue in
Agronomy
Mitigation of Ammonia and Greenhouse Gas Emissions from Livestock Systems
Guest Editors: David Fangueiro, José L. S. PereiraDeadline: 20 May 2024
Special Issue in
Agronomy
The Effects of Inoculation with Microorganisms on Plant Nutrition, Yield and Quality
Guest Editors: Marcelo Carvalho Minhoto Teixeira Filho, Mariangela HungriaDeadline: 30 May 2024
Special Issue in
Agronomy
Spatially-Based Services and Applications in Precision Farming: From Data to Field Information
Guest Editor: Enrico Corrado Borgogno MondinoDeadline: 20 June 2024
Topical Collections
Topical Collection in
Agronomy
Advances of Agricultural Robotics in Sustainable Agriculture 4.0
Collection Editors: Xiangjun Zou, Yunchao Tang, Junfeng Gao, Liang Gong, Simon van Mourik, Ya Xiong
Topical Collection in
Agronomy
Machine Learning in Digital Agriculture
Collection Editors: Karsten Schmidt, Ruhollah Taghizadeh-Mehrjardi, Thomas Scholten
Topical Collection in
Agronomy
A Series of Special Reviews and Topic Analyses That Explore Major Trends and Challenges in Agronomy
Collection Editors: Peter Langridge, Leslie A. Weston, Ilias Travlos
Topical Collection in
Agronomy
Agro-Ecology for Grassland-Based Farming Systems
Collection Editor: Gianni Bellocchi