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Agronomy
Special Issues
Genotype × Environment Interactions in Crop Production
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Genotype × Environment Interactions in Crop Production

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Innovative Cropping Systems".

Deadline for manuscript submissions: 15 June 2024 | Viewed by 2952

Special Issue Editors

Dr. Ioannis Mylonas

E-Mail Website
Guest Editor
Institute of Plant Breeding and Genetic Resources, Hellenic Agricultural Organization–"Demeter", 57001 Thessaloniki, Greece
Interests: cereal genetics and breeding; plant genetic resources; diversity; multi-environment field evaluation; tolerance to abiotic stress; GxE interaction; wide and specific agronomic adaptation; responsiveness to inputs; climate change
Special Issues, Collections and Topics in MDPI journals
Dr. Elissavet Ninou

E-Mail Website
Guest Editor
School of Geotechnical Sciences, Department of Agriculture, International Hellenic University, Sindos, 57400 Thessaloniki, Greece
Interests: agronomic use of plant genetic resources; abiotic stress; multienvironment field evaluation; cereals; legumes; medicinal and aromatic crops; crop physiology; cultivation systems; resource use efficiency; agro-biodiversity
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Fokion Papathanasiou

E-Mail Website
Guest Editor
Department of Agriculture, University of Western Macedonia, 50100 Florina, Greece
Interests: sustainable agriculture; landraces; botany; crop physiology; climate change and agriculture; quality characteristics; stress physiology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Genotype×environment interactions (GEIs) have contributed significantly to the yield increase in important staple crops over the last 50–80 years, and could continue to contribute to this increased productivity due to many factors including climate change.

The study of GEIs could result in the identification of superior genotypes in each environment, e.g., those with general adaptability to many environments or with specific adaptability in specific environments, increasing the productivity of agricultural systems.

This Special Issue aims to advance our understanding of GEI studies. This can lead to several benefits, including:

  • Simplifying and improving the selection process for genotypes with broad adaptability and specific adaptability in special environments;
  • Aiding in the identification of the most proper testing environments that represent a large part of the for-cultivation areas, which is necessary for the selection of high productivity and quality cultivars;
  • Facilitating the development of strategies that optimize the allocation of resources in breeding programs or farming systems;
  • Increasing the genetic gains of plant breeding programs;
  • Identification of proper and user-friendly statistical tools.

By exploring GEIs, this Special Issue aims to provide valuable knowledge that can drive advancements in crop breeding programs and agricultural practices, contributing to food security and sustainable production.

Dr. Ioannis Mylonas
Dr. Elissavet Ninou
Prof. Dr. Fokion Papathanasiou
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. 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

  • adaptability
  • climate change
  • field evaluation
  • agronomy
  • breeding

Published Papers (2 papers)

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Research

19 pages, 991 KiB  
Article
Assessment of Durum Wheat Cultivars’ Adaptability to Mediterranean Environments Using G × E Interaction Analysis
by Elissavet Ninou, Nektaria Tsivelika, Iosif Sistanis, Nikolaos Katsenios, Evangelos Korpetis, Eirini Vazaneli, Fokion Papathanasiou, Spiros Didos, Anagnostis Argiriou and Ioannis Mylonas
Agronomy 2024, 14(1), 102; https://doi.org/10.3390/agronomy14010102 - 30 Dec 2023
Viewed by 1341
Abstract
Aside from plant breeding and agricultural inputs, understanding and interpreting the Genotype × Environment (G × E) interaction has contributed significantly to the increase in wheat yield. In Central Macedonia, Greece, fifteen commercially important durum wheat cultivars and one landrace were tested in [...] Read more.
Aside from plant breeding and agricultural inputs, understanding and interpreting the Genotype × Environment (G × E) interaction has contributed significantly to the increase in wheat yield. In Central Macedonia, Greece, fifteen commercially important durum wheat cultivars and one landrace were tested in six cultivation environments classified into high- and low- productivity environments. This study aimed to identify the most productive and stable durum wheat genotypes across Mediterranean farming systems through a comparative examination of genotype plus genotype by environment (GGE) biplot alongside fifteen parametric and non-parametric stability models. In the organic (low productivity) environment, cultivar Zoi and the landrace Lemnos showed remarkable results, indicating a potential solution for biological agriculture. For the late-sowing (low productivity) environment, some widespread varieties such as Mexicali-81, Meridiano, and Maestrale had excellent performance, showing potential to overcome more adverse conditions during critical grain filling periods such as higher air temperature and deficient soil moisture, i.e., conditions that correlate with climate change. Evaluation of genotypes in all environments for a combination of high yield and stable production, showed that the best genotypes were G8 (Simeto), G2 (Canavaro), and G12 (Elpida). In the subgroup with the three high-productivity environments, G12 (Elpida), G8 (Simeto), and G6 (Mexicali-81) were the best genotypes, followed by G2 (Canavaro), while in the low-productivity subgroup, the G2 (Canavaro), G13 (Zoi) and G8 (Simeto) genotypes were the best. Full article
(This article belongs to the Special Issue Genotype × Environment Interactions in Crop Production)
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13 pages, 1948 KiB  
Article
AMMI Analysis of Genotype × Environment Interaction on Sugar Beet (Beta vulgaris L.) Yield, Sugar Content and Production in Romania
by Camelia Oroian, Florin Ugruțan, Iulia Cristina Mureșan, Ioan Oroian, Antonia Odagiu, Ioan Valentin Petrescu-Mag and Petru Burduhos
Agronomy 2023, 13(10), 2549; https://doi.org/10.3390/agronomy13102549 - 3 Oct 2023
Cited by 2 | Viewed by 1099
Abstract
The overall yield and sugar content of sugar beet (Beta vulgaris L.) were determined by the genotype and its interaction with the environment. This study aimed to analyze the interaction of 23 genotypes with different environmental conditions during two growing seasons. To [...] Read more.
The overall yield and sugar content of sugar beet (Beta vulgaris L.) were determined by the genotype and its interaction with the environment. This study aimed to analyze the interaction of 23 genotypes with different environmental conditions during two growing seasons. To estimate the variance of genotypes, environment, and genotype function of the environment, the R 3.5.1 software package was used. In addition, the multivariate stability method was used to explain the G (genotype) × E (environment) interaction based on the GGE (Genotype plus Genotype-by-Environment) and AMMI (additive main effects and multiplicative interaction) biplots. The AMMI ASV (AMMI stability value) and biplot analysis revealed that only two genotypes (G10 and G11) showed higher values for yield and sugar content and production compared to the other genotypes. The AMMI ASV analysis also showed that the environment significantly influenced the sugar beet yield, sugar content, and sugar production, which were the descriptors for production in this study. Full article
(This article belongs to the Special Issue Genotype × Environment Interactions in Crop Production)
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