IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v11y2021i9p805-d621081.html
   My bibliography  Save this article

Yield Components Stability Assessment of Peas in Conventional and Low-Input Cultivation Systems

Author

Listed:
  • Vasileios Greveniotis

    (Hellenic Agricultural Organization Demeter, Institute of Industrial and Forage Crops, GR-41335 Larissa, Greece
    Department of Agricultural Technology, Technological Educational Institute of Western Macedonia, GR-53100 Florina, Greece)

  • Elisavet Bouloumpasi

    (Department of Agricultural Biotechnology and Oenology, International Hellenic University, GR-66100 Drama, Greece)

  • Stylianos Zotis

    (Department of Agricultural Technology, Technological Educational Institute of Western Macedonia, GR-53100 Florina, Greece
    Deceased.)

  • Athanasios Korkovelos

    (Directorate of Water Management of Thessaly, Decentralized Administration of Thessaly—Central Greece, GR-41335 Larissa, Greece)

  • Constantinos G. Ipsilandis

    (Regional Administration of Central Macedonia, Department of Agriculture, GR-54622 Thessaloniki, Greece)

Abstract

The primary purpose of this study was to explore yield stability of pea ( Pisum sativum L.) cultivars based on stability index, with specific aim at studying cultivar behavior regarding yield of peas under both conventional and low-input cultivation systems. Five cultivars of peas were used in a strip-plot design. Correlations showed a significant positive relation between seed yield and some other traits. Indirect seed yield improvement may be implemented by improving pod length, which generally showed high stability indices in Greek mega-environment. Comparisons between conventional and low-input farming systems generally did not affect stability estimations, but revealed cultivars that exhibited stable performance, even in low-input farming systems. The additive main effects and multiplicative interaction (AMMI) biplot analysis, genotype by environment interaction (GGE) biplot analysis and analysis of variance (ANOVA) showed statistically significant differences between genotypes and environments, and also the farming system. This way, we have certain cultivars of peas to recommend for specific areas and farming system, in order to achieve the most stable performance. Vermio proved to be a stable cultivar for seed yield performance, in Giannitsa, Trikala and Kalambaka area, in low-inputs farming systems, while Olympos was the best in Florina area and low-input farming.

Suggested Citation

  • Vasileios Greveniotis & Elisavet Bouloumpasi & Stylianos Zotis & Athanasios Korkovelos & Constantinos G. Ipsilandis, 2021. "Yield Components Stability Assessment of Peas in Conventional and Low-Input Cultivation Systems," Agriculture, MDPI, vol. 11(9), pages 1-22, August.
  • Handle: RePEc:gam:jagris:v:11:y:2021:i:9:p:805-:d:621081
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/11/9/805/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/11/9/805/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Vasileios Greveniotis & Elisavet Bouloumpasi & Stylianos Zotis & Athanasios Korkovelos & Constantinos G. Ipsilandis, 2021. "Assessment of Interactions between Yield Components of Common Vetch Cultivars in Both Conventional and Low-Input Cultivation Systems," Agriculture, MDPI, vol. 11(4), pages 1-18, April.
    2. Arata, Linda & Fabrizi, Enrico & Sckokai, Paolo, 2020. "A worldwide analysis of trend in crop yields and yield variability: Evidence from FAO data," Economic Modelling, Elsevier, vol. 90(C), pages 190-208.
    3. Vasileios Greveniotis & Elisavet Bouloumpasi & Stylianos Zotis & Athanasios Korkovelos & Constantinos G. Ipsilandis, 2021. "A Stability Analysis Using AΜΜΙ and GGE Biplot Approach on Forage Yield Assessment of Common Vetch in Both Conventional and Low-Input Cultivation Systems," Agriculture, MDPI, vol. 11(6), pages 1-23, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Vasileios Greveniotis & Elisavet Bouloumpasi & Stylianos Zotis & Athanasios Korkovelos & Dimitrios Kantas & Constantinos G. Ipsilandis, 2023. "Stability Dynamics of Main Qualitative Traits in Maize Cultivations across Diverse Environments regarding Soil Characteristics and Climate," Agriculture, MDPI, vol. 13(5), pages 1-18, May.
    2. Vasileios Greveniotis & Elisavet Bouloumpasi & Stylianos Zotis & Athanasios Korkovelos & Constantinos G. Ipsilandis, 2021. "Estimations on Trait Stability of Maize Genotypes," Agriculture, MDPI, vol. 11(10), pages 1-16, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vasileios Greveniotis & Elisavet Bouloumpasi & Stylianos Zotis & Athanasios Korkovelos & Dimitrios Kantas & Constantinos G. Ipsilandis, 2023. "A Comparative Study on Stability of Seed Characteristics in Vetch and Pea Cultivations," Agriculture, MDPI, vol. 13(5), pages 1-23, May.
    2. Vasileios Greveniotis & Elisavet Bouloumpasi & Stylianos Zotis & Athanasios Korkovelos & Constantinos G. Ipsilandis, 2021. "Estimations on Trait Stability of Maize Genotypes," Agriculture, MDPI, vol. 11(10), pages 1-16, September.
    3. Wan-Xia He & Qiang-Sheng Wu & Abeer Hashem & Elsayed Fathi Abd_Allah & Pandiyan Muthuramalingam & Al-Bandari Fahad Al-Arjani & Ying-Ning Zou, 2022. "Effects of Symbiotic Fungi on Sugars and Soil Fertility and Structure-Mediated Changes in Plant Growth of Vicia villosa," Agriculture, MDPI, vol. 12(10), pages 1-12, September.
    4. Vasileios Greveniotis & Elisavet Bouloumpasi & Stylianos Zotis & Athanasios Korkovelos & Dimitrios Kantas & Constantinos G. Ipsilandis, 2023. "Stability Dynamics of Main Qualitative Traits in Maize Cultivations across Diverse Environments regarding Soil Characteristics and Climate," Agriculture, MDPI, vol. 13(5), pages 1-18, May.
    5. Hughes, Neal & Soh, Wei Ying & Lawson, Kenton & Lu, Michael, 2022. "Improving the performance of micro-simulation models with machine learning: The case of Australian farms," Economic Modelling, Elsevier, vol. 115(C).
    6. Sohrab Abdollahzadeh, 2021. "Sustainable Development of Foodservices under Uncertainty," Sustainability, MDPI, vol. 13(9), pages 1-14, May.
    7. Vasileios Greveniotis & Elisavet Bouloumpasi & Stylianos Zotis & Athanasios Korkovelos & Constantinos G. Ipsilandis, 2021. "A Stability Analysis Using AΜΜΙ and GGE Biplot Approach on Forage Yield Assessment of Common Vetch in Both Conventional and Low-Input Cultivation Systems," Agriculture, MDPI, vol. 11(6), pages 1-23, June.
    8. Zhilu Sun & Teng Fu, 2022. "The Evolutionary Trends and Convergence of Cereal Yield in Europe and Central Asia," Agriculture, MDPI, vol. 12(7), pages 1-18, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jagris:v:11:y:2021:i:9:p:805-:d:621081. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.