Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.9
3.3
Journals
Agriculture
Special Issues
Stability Analysis of Crop Yield under Different Cultivation Systems
share announcement

Stability Analysis of Crop Yield under Different Cultivation Systems

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Crop Production".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 3673

Special Issue Editors

Dr. Constantinos Ipsilandis

E-Mail Website
Guest Editor
Regional Administration of Ionian Islands, 49100 Corfu, Greece
Interests: cropping systems; yield stability; high yield performance; G x E interaction; multi-environment experimentation; variability
Special Issues, Collections and Topics in MDPI journals
Dr. Vasileios Greveniotis

E-Mail Website
Guest Editor
Institute of Industrial and Forage Crops, Department of Plant Production, 1 Theofrastou Str., 41335 Larisa, Greece
Interests: plant breeding; quantitative genetics; crop improvement; genotype x environment interaction; agronomy; sustainability; stability; forage and grain crops; low input and organic farming
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The development of productive and stable genotypes is the main goal of breeding programs. Genotype × environment interaction strongly influences genotype performance and makes the selection of new cultivars difficult. Thus, breeders must identify genotypes with high grain yield (GY) and stability in multiple environments. The stability of yield is also very important, which involves judging the value of a cropping system relative to others. In the context of agricultural research, the analysis of yield stability has been largely confined to multi-environment trials of crop cultivars. Greveniotis et al. (2021–2022) consider stability as the last frontier in breeding, because the development of new cultivars has to incorporate and ensure high yields under diverse environments where biotic and abiotic stresses occur. Climate change and peoples’ global demand of food may increase the need of new and productive cultivars for all plants used in human and animal nutrition.

Dr. Constantinos Ipsilandis
Dr. Vasileios Greveniotis
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. Agriculture 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

  • cropping systems
  • yield stability
  • high yield performance
  • G x E interaction
  • variability
  • multi-environment experimentation

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

23 pages, 2592 KiB  
Article
A Comparative Study on Stability of Seed Characteristics in Vetch and Pea Cultivations
by Vasileios Greveniotis, Elisavet Bouloumpasi, Stylianos Zotis, Athanasios Korkovelos, Dimitrios Kantas and Constantinos G. Ipsilandis
Agriculture 2023, 13(5), 1092; https://doi.org/10.3390/agriculture13051092 - 19 May 2023
Cited by 2 | Viewed by 1304
Abstract
Stability for yield and seed quality across environments are desirable traits for varieties used for the support of livestock, and such specific varieties of common vetch (Vicia sativa L.) and peas (Pisum sativum L.) are highly demanded from farmers. The objective [...] Read more.
Stability for yield and seed quality across environments are desirable traits for varieties used for the support of livestock, and such specific varieties of common vetch (Vicia sativa L.) and peas (Pisum sativum L.) are highly demanded from farmers. The objective of this study was to investigate the stability performance of seed quality attributes on six common vetch genotypes and five pea genotypes. The genotypes’ stability traits were based on seed quality characteristics of peas and common vetch under low-input vs. conventional cultivation systems. Significantly positive or negative correlations between the main traits in all cultivation schemes were found. Based on these findings, improving certain traits that exhibit qualitative inheritance is expected to be an efficient indirect way to improve seed quality stability, more easily in the case of peas. It was evident from comparisons that even in low-input farming systems, varieties showed stable performance. Analysis of variance (ANOVA), GGE biplot on main traits, and AMMI analysis all resulted in statistically significant variations between genotypes, environments, and farming practices. This analysis resulted in specific pea varieties and vetch cultivars that were stable for various regions and farming systems on seed quality traits. Full article
(This article belongs to the Special Issue Stability Analysis of Crop Yield under Different Cultivation Systems)
►▼ Show Figures

Figure 1

18 pages, 1453 KiB  
Article
Stability Dynamics of Main Qualitative Traits in Maize Cultivations across Diverse Environments regarding Soil Characteristics and Climate
by Vasileios Greveniotis, Elisavet Bouloumpasi, Stylianos Zotis, Athanasios Korkovelos, Dimitrios Kantas and Constantinos G. Ipsilandis
Agriculture 2023, 13(5), 1033; https://doi.org/10.3390/agriculture13051033 - 10 May 2023
Cited by 2 | Viewed by 1762
Abstract
One of the main obstacles to finding cultivars with consistent performance across locations and years is the genotype × environment (GE) interaction effect. A new approach to stability analysis for qualitative characteristics in maize was conducted utilizing G × E interactions and further [...] Read more.
One of the main obstacles to finding cultivars with consistent performance across locations and years is the genotype × environment (GE) interaction effect. A new approach to stability analysis for qualitative characteristics in maize was conducted utilizing G × E interactions and further analysis via AMMI and GGE biplots. The study aimed to identify the type of trait inheritance through estimations of the stability index, to evaluate multiple locations and multiple genotypes to determine how different ecosystems and maize genotypes relate to one another, and, finally, to suggest the ideal climatic conditions and genotypes, carefully chosen for their stability. Fifteen F1 commercial maize hybrids comprised the genetic materials tested, along with 15 open-pollination lines created by 4-cycle Honeycomb assessment, at four different environments, Giannitsa, Florina, Trikala, and Kalambaka in Greece. The experiments were conducted in Randomized Complete Block Designs (RCB) with four replications. The tested characteristics were protein content (%), fat (%), ash (%), starch (%), crude fiber (%), moisture (%), seed length, seed thickness, and seed width. All genotypes showed statistically significant differences for all characteristics measured, especially for protein content and size of the kernel. G × E interaction was present only for moisture content and size of the kernel. Environments significantly affected fat, starch content, moisture content, and the kernel’s size (under a multiple G × E interaction). Protein, ash, and fiber content showed no G × E interaction. Further analysis via AMMI and GGE biplots was applied to explore the genotypic stability across all experimental environments for the traits that showed noteworthy G × E interaction. According to our results and approach, protein content is less qualitative than other characteristics like moisture and starch content. Correlations showed that negative selection for the last two characteristics, as well as for ash content, in combination with longer seeds, may lead indirectly to improved stability performance for protein content. Three environments, Giannitsa, Trikala and Kalambaka, exhibited higher stability index values for almost all characteristics measured. Therefore, those environments are perfect for ensuring the stability of the quality characteristics and could be recommended. The best maize hybrids were Mitic, 6818 and 6040, exhibiting high stability indices of quality characteristics and Kermes displaying stability for protein content. Therefore, those should be further tested in multiple environments to confirm the consistency of their high-stability performance. Full article
(This article belongs to the Special Issue Stability Analysis of Crop Yield under Different Cultivation Systems)
►▼ Show Figures

Figure 1

22 pages, 1915 KiB  
Article
Forecasting of Winter Wheat Yield: A Mathematical Model and Field Experiments
by Igor Atamanyuk, Valerii Havrysh, Vitalii Nitsenko, Oleksii Diachenko, Mariia Tepliuk, Tetiana Chebakova and Hanna Trofimova
Agriculture 2023, 13(1), 41; https://doi.org/10.3390/agriculture13010041 - 23 Dec 2022
Cited by 2 | Viewed by 2732
Abstract
An increase in world population requires growth in food production. Wheat is one of the major food crops, covering 21% of global food needs. The food supply issue necessitates reliable mathematical methods for predicting wheat yields. Crop yield information is necessary for agricultural [...] Read more.
An increase in world population requires growth in food production. Wheat is one of the major food crops, covering 21% of global food needs. The food supply issue necessitates reliable mathematical methods for predicting wheat yields. Crop yield information is necessary for agricultural management and strategic planning. Our mathematical model was developed based on a three-year field experiment in a semi-arid climate zone. Wheat yields ranged from 4310 to 6020 kg/ha. The novelty of this model is the inclusion of some stochastic data (weather and technological). The proposed method for wheat yield modeling is based on the theory of random sequence analysis. The model does not impose any restrictions on the number of production parameters and environmental indicators. A significant advantage of the proposed model is the absence of limits on the yield function. Consideration of the stochastic features of wheat production (technological and weather parameters) allows researchers to achieve the best accuracy. The numerical experiment confirmed the high accuracy of the proposed mathematical model for the prediction of wheat yield. The mean relative error (for the third-order polynomial model) varied from 1.79% to 2.75% depending on the preceding crop. Full article
(This article belongs to the Special Issue Stability Analysis of Crop Yield under Different Cultivation Systems)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-3
Back to TopTop