Biodiversity and Biocontrol in Horticulture: Methods and Statistical Analysis

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Horticultural and Floricultural Crops".

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 10830

Special Issue Editors


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Guest Editor
Department of Agriculture Crop Production and Rural Environment, University of Thessaly, 382 21 Volos, Greece
Interests: plant pathology; biological control; applied statistics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Agriculture Crop Production and Rural Environment, University of Thessaly, 382 21 Volos, Greece
Interests: plant growth models; soilless culture; biodiversity; biostimulants
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Biodiversity is the variety and variability of life in all its forms and all its interactions. Biodiversity is a key measure of the health of any ecosystem and describes how much variety in terms of resources and species that an ecosystem has. Food value chains destroy biodiversity by converting natural habitats to intensely management systems. Most commercial agriculture and modern food production systems, in particular greenhouse cultivations, are intensive in many ways, e.g. through inputs of pesticides and fertilizers or by cultivating specific plants varieties. Through such agricultural and horticultural intensification for food demands, agri-horticultural systems lose biodiversity in the form of species and ecosystems. In order to counteract the negative effects of agri-horticulture intensive systems, science has implemented agri-environment components of integrated agri-management strategies, adopting biological cultivation practices that are more friendly to the environment. Theory provides many examples for biological cultivation as well as pests and disease control outcomes, but only few are leading to spectacular successes. The basic approach used in successful biocontrol systems was mathematical models, which are nowadays combined with high technology systems. Research shows that by using mathematical models, biological control success is achieved faster. In general, the stability of biological control is confirmed by modeling.

This research topic seeks to provide more scientific data on modeling the effects of abiotic and biotic environmental factors and population dynamics of biological control in horticulture. 

Specific subjects to be addressed by contributors include, but are not limited to:

Biodiversity and Biocontrol: Methods and Statistical Analysis

for example,

  1. Modeling the spread of invasive species
  2. Modeling dynamics of native and invasive species

Soil fauna Modeling

for example,

  1. Modeling the dynamics of soil microbes
  2. Soil C and N that integrate microbial diversity into horticultural crops
  3. Modeling the availability of nutrients in soil and soilless cultures

Rhizosphere Modeling

for example,

  1. Modeling the complex dynamics of microbial communities in the
    rhizosphere
  2. Rhizosphere carbon flow modeling: The role of microorganism

Growth modeling and plant stress

e.g. Abiotic stress biology in horticultural plants

Crop Modeling

for example,

  1. Modelling plants growth and architecture
  2. Models in crop production
  3. Modeling climatic influence on parasitoids
  4. Modeling CO2 foot-print

Diseases and Pest Modeling in Horticultural Crops

e.g. Models of decision making process of pesticides (insecticides,
fungicides, essential oils)

Biological Control in Horticultural Crops

for example,

  1. Biological control of pathogens and insect pests in horticulture
  2. Modeling soil-borne pathogens
  3. Modeling microbes profile in the canopy

Dr. Ioannis Vagelas
Dr. Christos Lykas
Guest Editors

Manuscript Submission Information

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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

  • Biodiversity
  • Crop Modeling in Horticulture
  • Epidemiology and Biological Control
  • Modeling Plant Disease Infection
  • Modeling Soil Functions
  • Modeling Plant Nutrients/Soil Carbon of Horticultural Crops
  • Modeling Root Growth and Impact on Plant Development
  • Modeling Water and Nutrients Losses
  • Plant Stress Modeling

Published Papers (3 papers)

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Research

9 pages, 1233 KiB  
Article
Assessment of the Genetic Diversity of Chrysanthemum Cultivars Using SSR Markers
by Agata Olejnik, Katarzyna Parkitna, Bartosz Kozak, Szymon Florczak, Jakub Matkowski and Kamila Nowosad
Agronomy 2021, 11(11), 2318; https://doi.org/10.3390/agronomy11112318 - 16 Nov 2021
Cited by 7 | Viewed by 2043
Abstract
Chrysanthemums are undoubtedly one of the most popular flowering plants in the world. Their exceptional importance in Asian culture resulted in the global popularization of this species, which resulted in the high interest of breeders. Chrysanthemums can be divided into three groups: small-flowered, [...] Read more.
Chrysanthemums are undoubtedly one of the most popular flowering plants in the world. Their exceptional importance in Asian culture resulted in the global popularization of this species, which resulted in the high interest of breeders. Chrysanthemums can be divided into three groups: small-flowered, mid-flowered, and large-flowered. The exceptional economic importance and a large number of varieties make them problematic to identify, resulting in a less efficient breeding process. In the case of chrysanthemums, genotypes are almost impossible to distinguish by using phenotypic methods due to the high variation in morphological characteristics, even when they belong to the same group. The aim of the study was to evaluate the genetic diversity of 97 chrysanthemum cultivars using 14 selected SSR markers. Large-flowered varieties (Angali and Rosee D’une) were characterized by the smallest mutual distance, and the greatest distance was between large-flowered (Impact Rood) and small-flowered (Conaco Yellow) varieties. All methods of visualizing the results reveal a clear distinctiveness of small-flowered cultivars, except for the cultivars from the Moira series. Full article
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13 pages, 2502 KiB  
Article
Pre-Symptomatic Disease Detection in the Vine, Chrysanthemum, and Rose Leaves with a Low-Cost Infrared Sensor
by Ioannis Vagelas, Athanasios Papadimos and Christos Lykas
Agronomy 2021, 11(9), 1682; https://doi.org/10.3390/agronomy11091682 - 24 Aug 2021
Cited by 5 | Viewed by 2481
Abstract
Thermography is a technique based on infrared imaging, which is used nowadays to detect plants under stress caused by biotic and abiotic factors. In many cases, temperature changes have already been correlated with pathogen attacks. In this sense, thermography offers the ability of [...] Read more.
Thermography is a technique based on infrared imaging, which is used nowadays to detect plants under stress caused by biotic and abiotic factors. In many cases, temperature changes have already been correlated with pathogen attacks. In this sense, thermography offers the ability of early disease detection in plant pathology. In this work, a low-cost AMG8833 Grind-Eye infrared camera combined with a 1080P RGB web camera was used to develop an integrated infrared and RGB imaging system, to record temperature changes on vine, chrysanthemum, and rose plant leaf surfaces. Vine and chrysanthemum leaves were infected with Phomopsis viticola and Septoria ssp. respectively, respectively, whereas rose plants leaves were infected with Colletotrichum spp. as well as with Podosphaera pannosa. Measurements were performed using the integrated imaging system on infected and uninfected leaves, as well as on PDA plates with active and non-active mycelium. According to the results, vine leaf tissue infected with P. viticola and rose plants leaf tissue infected with P. pannosa had a pre-symptomatic (four days after infection) decrease in temperature up to 1.6 and 1.1 °C, respectively, compared with uninfected tissue. In contrast chrysanthemum leaf tissue infected with Septoria ssp. and rose plant leaf tissue infected with Colletotrichum spp. had a pre-symptomatic (four days after infection) increased temperature up to 1.1 °C and 1.0 °C, respectively, compared with uninfected tissue. In vitro measurements showed that the active fungi mycelium had approximately 1.1 to 2.1 °C lower temperature than the non-active mycelium. The results above show that the integrated infrared and RGB imaging system developed in this work can be used to detect early disease infection before visible symptoms appeared, facilitating the decision-making process. Full article
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12 pages, 1017 KiB  
Article
Allometric Individual Leaf Area Estimation in Chrysanthemum
by Dimitrios Fanourakis, Filippos Kazakos and Panayiotis A. Nektarios
Agronomy 2021, 11(4), 795; https://doi.org/10.3390/agronomy11040795 - 18 Apr 2021
Cited by 28 | Viewed by 5419
Abstract
A model for estimating the area of individual leaves (LA) by employing their dimensions was developed for chrysanthemum. Further hypotheses were tested: (a) LA estimation is improved by considering blade length (Lb) rather than leaf length (L), and (b) a reasonable [...] Read more.
A model for estimating the area of individual leaves (LA) by employing their dimensions was developed for chrysanthemum. Further hypotheses were tested: (a) LA estimation is improved by considering blade length (Lb) rather than leaf length (L), and (b) a reasonable LA estimation can be attainable by considering L in conjunction to a shape trait, which is cultivar dependent. For the model development, six cultivars were employed (1500 leaves in total), while for model validation, an independent set of nine cultivars was utilized (1125 leaves in total). Several characteristics were digitally assessed in fully expanded leaves which included petiole length, leaf L, width (W), perimeter, shape traits (aspect ratio, circularity, roundness, solidity), together with LA. LA estimation was more accurate by considering both L and W, as compared to a single dimension. A linear model, employing the product of L by W as independent variable, provided the most accurate LA estimation (R2 = 0.84). The model validation indicated a highly significant correlation between computed and measured LA (R2 = 0.88). Replacing L by Lb reasonably predicted LA (R2 = 0.832) but at some expense of accuracy. Contrary to expectation, considering L (or W) and a cultivar-specific shape trait generally led to poor LA estimations. Full article
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