Special Issue "Innovative Technologies in Crop Production and Animal Husbandry"
Deadline for manuscript submissions: 31 December 2022 | Viewed by 6974
Interests: functional feed additives; pharmacology; toxicology; biological value; poultry; resource-saving technology; probiotics; prebiotics; vitamin preparations
Interests: infectious animal diseases; animal leukemia; antibiotic resistance; physiology of farm animals
Interests: nanotechnology; agricultural robots; bioethanol; renewable energy sources; agriculture; agricultural production; factor analysis model
Interests: Prunus; Vitis; cultivars; rootstocks; genetic resources; winter hardiness; biochemical content; generative parameters
New interesting scientific approaches and solutions to the main problems of crop production and animal husbandry are currently emerging in all agriculture branches. Crop production and animal husbandry are the main branches of agricultural production ensuring food security on our planet. At the present time, special attention is being paid to the issues of obtaining environmentally friendly and safe products as well as the development of offers reducing the impact of specific factors—seasonality, weather conditions, etc.
Modern animal husbandry dictates new approaches to the development of genomic technologies in animal breeding, ensuring high productivity, quality, and safety of animal products.
The development of genomic and marker breeding of animals makes it possible to predict the breeding value of animals and quickly obtain animals with the specified characteristics of productivity and product quality and resistance to various diseases in addition to reducing the spread of undesired genetic mutations in the population. In solving the problems of accelerated breeding, creating new breeds, lines, and types of animals, the methods of genomic evaluation, embryo transfer, genomic editing, and in vitro fertilization along with the development of breeding programs are highly effective. At present, there is intensive development of genomic research in this direction.
In recent decades, the main problems of a possible reduction in the yield of agricultural plants and animal productivity and longevity as well as the decrease in the quality of the obtained products are clearly visible. These are influenced by climate change, sharp deterioration in the environment, decrease in fertility and soil degradation, irrational use of natural resources, uneven distribution of productive forces, and stark differences in energy availability, resource availability, and the availability and use of modern adaptive resource-saving, environmental, and environmental-oriented agricultural production technologies. Nevertheless, due to various objective and subjective reasons, these areas have different levels of development, both in individual countries and around the world. Therefore, the acquisition of new scientific data in the field of crop and animal husbandry and the widespread expansion of best practices and knowledge remain the most relevant at the present stage. The world’s population is constantly growing, and ensuring the need for human food and animal feed has been and will remain a priority and strategic direction for the development of agriculture.
A certain result has already been achieved in this direction. New scientific and theoretical approaches have been developed to regulate the productivity of agricultural plants and reduce the dependence on any factors. To maximize the profit for farm enterprises, new approaches are proposed, including methods of cultivation diagnostics, varietal agricultural techniques, and use of adapted genotypes, among others.
Hence, this Special Issue is devoted to the issues of innovative technologies in crop production and animal husbandry; the submission of scientific articles or reviews covering a wide range of fundamental and applied scientific research, including genetics, animal science, virology, microbiology, immunology, food processing technology, pharmacology, as well as those of particular interest to the scientific community and farm enterprises are welcome for consideration. Of particular interest are discussions of gene technologies in the field of breeding and gene editing of farm animals, modern methods for ensuring the epizootic well-being of livestock farms, improving the productivity, quality, and safety of livestock products, and methods for the containment and control of the spread of antibiotic resistance.
We look forward to receiving your contributions to our Special Issue “Innovative Technologies in Crop Production and Animal Husbandry”.
Prof. Dr. Andrey Georgievich Koshchaev
Dr. Irina M. Donnik
Dr. Viktor Stanislavovich Kukhar
Dr. Dzintra Dēķena
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 2000 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.
- agricultural plants (genotypes)
- agricultural engineering
- physiological–biochemical and genetic methods
- breeding and seed production
- plant biologization
- organic farming
- infectious diseases of animals
- animal leukemia
- antibiotic resistance
- physiology of farm animals
- gene technologies
- quality of agricultural products
- genomic research
- gene editing
- gene knockout
- animal breeding
- infectious diseases
- animal productivity
- antibiotic resistance
- animal products
- biological safety
- plant breeding
- plant protection
- innovative garden care systems
- the effect of soil
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
1. Farmers’ Motivation and Expectations for Using IoT Technologies: A Case Study
Authors: Egor Skvortsov, Ivan Sandu, Natalia Ziablitckaia, Natalia Ryzhenkova, Lyudmila Botasheva, Igor Tihonov
2. Dynamics of the Immune Status of Cows Associated With the Combined Administration of Topical and Alimentary-Mediated Phytobiotics
Authors: Anna Krivonogova, Antonina Porivaeva, Albina Isaeva, Irina Donnik, Irina Shkuratova, Maksim Petropavlovsky, Elisey Bespamyatnykh
3. Comparative Analysis of Phytobiotics Effectiveness for the Correction of Mucous Membranes Dysbiosis in Cattle
Authors: Anna Krivonogova, Antonina Porivaeva, Albina Isaeva, Irina Donnik, Irina Shkuratova, Maksim Petropavlovsky, Elisey Bespamyatnykh, Ksenia Moiseeva, Anastasia Chentsova
4. Application of Thermal Processes and Methods of Optical Analysis To Increase and Forecast the Shelf Life of Plant-Based Beverages
Author: Marina Shkolnikova
5. Use of Physical Methods of Assessment for the Recovery and Microclonal Propagation of Potato Using the Example of the “Ermak” Variety
Author: Svetlana Artyukhova
6. Changes of Morphobiological and Physicochemical Parameters of Japanese Cabbage Depending on the Light Source
Authors: Alexei Dorokhov, Inna Knyazeva, Oksana Vershinina, Vladimir Gudimo, Andrei Grishin
7. Field and Laboratory Tests of Nigella L. Genotypes of European-Asian Origin
Authors: Ramazan Gürbüz, Harun Alptekin, Olga Panfilova, İbrahim Kahramanoğlu and Mikhail Karpukhin
Abstract: Mowing is among the most important factor affecting weed populations dynamics in turfgrass. The density of some weed species may increase while some others decreases with mowing. For that reason, a two-year (2019-2020) field experiment was carried out in order to determine the impact of mowing on the frequency and density of different weed species in a newly established turf areas at the foot of Mount Ararat in eastern Turkey. From early April to early October mowing process was done at 5 cm height with 20 days intervals. The first survey was conducted on 1st of April 2019 before mowing and repeated after 2 mows. Therefore, 4 surveys were carried out in a year (a total of 8 surveys). Accordingly, 39 different weed species belonging to 15 families were identified, including 1 parasite, 9 narrow-leaved and 29 broad-leaved weeds. The most common weed species were Chenopodium album in the first 3 surveys while Trifolium repens and Cynodon dactylon were the most observed species in the 4th survey. The annual weeds like C. album was decreased while perennial weeds like T. repens and C. dactylon were increased depending on the mowing process. According to the similarity index; the highest similarity was between surveys 7-8, with a value of 100%, and the lowest similarity was between 1-8 with a value of 55.55%.
10. Growth and Yield Potential of Ten Elite Accessions of Quinoa (Chenopodium quinoa) under Varying Sowing Regimes
Authors: Ariba Asif, Shahbaz Khan, Bareera Asif, Danish Ibrar, Zuhair Hasnain, Saqib Bashir, Sohail Irshad, Muhammad Nawaz, Tasawer Abbas and Naila Farooq
Abstract: Optimization of agronomic practices for cultivation of quinoa, a super food and climate resilient crop, is very critical to obtain its maximum grain yield under the current scenario of climate change. In the present experimentation, we evaluated the optimum sowing time of ten elite accessions of quinoa, already screened from USDA germplasm. Seeds of each accession were sown in the experimental area at Square No. 22, Block No. 5, Directorate of Farm, University of Agriculture, Faisalabad, Pakistan on November 15, November 30 and December 15 during quinoa cultivation season of 2019-20. Sowing time significantly affected the days taken to anthesis, chlorophyll contents, sodium and potassium concentrations in leaf, plant height, stem diameter, number of leaves and leaf area, panicle length, grain yield and 1000-grain weight. Accessions; PIA-922, PIA-924, PIA-928 and PIA-929 performed better under first sowing and produced higher grain yield as compared to other accessions. Similarly, PIA-921, PIA-922, PIA-925 and PIA-932 produced maximum biomass and grain yield under second sowing date while in case of third sowing date, PIA-926, PIA-928, PIA-930 and PIA-931 were observed more responsive regarding growth and yield attributes. A diversified pattern of agronomic, growth and yield contributing attributes of quinoa genotypes was observed when cultivated under varying sowing dates. The collected data will be very informative for the breeders and agronomists during the selection and variety development process in future.
Keywords: quinoa; germplasm; growth, sowing dates; yield
11. Methodological Approach to Determining the Optimal Location of the Organic Crop Production
Authors: Natalya Zaruk; Maria Kagirova; Anna Kharitonova; Elena Kolomeeva; Rishat Migunov; Yulia Romantseva; Anastasia Babanskaya
Affiliation: Russian State Agrarian University - Moscow Timiryazev Agricultural Academy
Abstract: The purpose of the study is to substantiate the methodological approach to the optimal distribution of organic crop production across the territory, taking into account soil-climatic, environmental, economic and social characteristics. The object of the study is the regions of Russia located in various climatic zones and differentiated by the level of economic development. The system of statistical indicators has been developed to identify typical groups of units according to the possibility of producing organic products. It includes 33 elements, providing a description of the regions in terms of the state and potential of economic development; level of agricultural production; climatic and ecological conditions; demand potential for organic products. The methodology is based on Factor and Cluster analysis. Factor analysis selected five components underlying the grouping of regions. The use of cluster analysis made it possible to identify with a high level of accuracy seven groups of regions with different agricultural conditions and the potential for the development of organic production, which, according to individual characteristics, are justified for the production of certain types of crops. Optimization of the location of the organic production is explained by the satisfaction of requirements of plants and consumers within the territories.
Keywords: organic products; crop production; statistical indicators; location of agricultural production