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Horticulturae
Special Issues
Advances in Water-Saving Irrigation and Sustainable Fertigation of Horticulture Crops
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Advances in Water-Saving Irrigation and Sustainable Fertigation of Horticulture Crops

A special issue of Horticulturae (ISSN 2311-7524). This special issue belongs to the section "Plant Nutrition".

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 702

Special Issue Editors

Prof. Dr. Xiaogang Liu

E-Mail Website
Guest Editor
Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China
Interests: sustainable fertigation; water-saving irrigation; regulating quality
Dr. Jinjin Guo

E-Mail Website
Guest Editor
Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China
Interests: slow release fertilizer; drip fertigation; water and fertilizer productivity; nitrogen cycle
Special Issues, Collections and Topics in MDPI journals
Dr. Haidong Wang

E-Mail Website
Guest Editor
Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650500, China
Interests: drip fertigation; migration of water and nutrient in soil; water and fertilizer productivity; plant–water–nutrient relations; isotope tracing; crop growth model

Special Issue Information

Dear Colleagues,

We encourage you to submit papers for an important Special Issue on “Advances in Water-Saving Irrigation and Sustainable Fertigation of Horticulture Crops”. Water and fertilizer are the most fundamental conditions for the growth of horticulture crops, and are also the main factors restricting sustainable development. Therefore, combining water-saving irrigation with fertilization according to crop fertilizer demand is an inevitable choice for the sustainable and high-quality development of modern horticulture crops.

However, currently, water management of horticulture crops mainly relies on experience, resulting in low-water-use efficiency, increased humidity in facilities, and increased crop diseases and pests. At the same time, excessive application of chemical fertilizers leads to low fertilizer utilization efficiency, soil nutrient imbalance, soil microbial damage, and threatens crop health and fruit quality.

This Special Issue invites studies that focus on the theoretical basis for the coupling of water and fertilizer, as well as techniques and modes of precise fertilization, formula fertilization, and variable rate fertilization for high-yield and high-quality horticulture crops.

Prof. Dr. Xiaogang Liu
Dr. Jinjin Guo
Dr. Haidong Wang
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. Horticulturae 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 2200 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

  • fertigation
  • water and fertilizer productivity
  • regulating quality
  • water and fertilizer coupling mode
  • high-value horticultural crops

Published Papers (1 paper)

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Research

18 pages, 8729 KiB  
Article
Developing a Hyperspectral Remote Sensing-Based Algorithm to Diagnose Potato Moisture for Water-Saving Irrigation
by Qiqige Suyala, Zhuoling Li, Zhenxin Zhang, Liguo Jia, Mingshou Fan, Youping Sun and Haifeng Xing
Horticulturae 2024, 10(8), 811; https://doi.org/10.3390/horticulturae10080811 - 31 Jul 2024
Viewed by 269
Abstract
Appropriate water supply is crucial for high-yield and high-quality potato tuber production. However, potatoes are mainly planted in arid and semi-arid regions in China, where the precipitation usually cannot meet the water demand throughout the growth period. In view of the actual situation [...] Read more.
Appropriate water supply is crucial for high-yield and high-quality potato tuber production. However, potatoes are mainly planted in arid and semi-arid regions in China, where the precipitation usually cannot meet the water demand throughout the growth period. In view of the actual situation of water shortage in these areas, to monitor the water status of potato plants timely and accurately and thus precisely control the irrigation are of significance for water-saving management of potatoes. Hyperspectral remote sensing has unique advantages in diagnosing crop water stress. In this paper, the canopy spectral reflectance and plant water content were measured under five irrigation treatments. The spectral parameters that respond to plant water content were selected, and a hyperspectral water diagnosis model for leaf water content (LWC) and aboveground water content (AGWC) of potato plants was established. It was found that potato tuber yield was the highest during the entire growth period under sufficient irrigation, and the plant water content showed a downward trend as the degree of drought intensified. The peak hyperspectral reflectance of potato plant canopies appeared in the red wavelength, where the reflectance varied significantly under different water treatments and decreased with decreasing irrigation. Six models with sensitive bands, first-order derivatives, and moisture spectral indices were established to monitor water content of potato plants. The R2 values of partial least squares regression (PLSR), support vector machine (SVM), and BP neural network (BP) models are 0.8418, 0.9020, and 0.8926, respectively, between LWC and hyperspectral data; and 0.8003, 0.8167, and 0.8671, respectively, between the AGWC and hyperspectral data. These six models can all predict the water content of potato plants, but SVM is the best model for predicting LWC of potato plants. These results are of great significance for guiding precision irrigation of potato plants at different growth stages. Full article
(This article belongs to the Special Issue Advances in Water-Saving Irrigation and Sustainable Fertigation of Horticulture Crops)
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