IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v11y2021i4p369-d538716.html
   My bibliography  Save this article

Assessment of Interactions between Yield Components of Common Vetch Cultivars in Both Conventional and Low-Input Cultivation Systems

Author

Listed:
  • Vasileios Greveniotis

    (Institute of Industrial and Forage Crops, Hellenic Agricultural Organization Demeter, 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
    Late author.)

  • Athanasios Korkovelos

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

  • Constantinos G. Ipsilandis

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

Abstract

The primary purpose of this study was to explore yield stability of common vetch varieties based on the stability index, with a specific aim of exploring common vetch variety behavior regarding the yield of legumes under both conventional and low-input cultivation systems. Six varieties of common vetch ( Vicia sativa L.), namely, cv. Filippos, cv. Omiros, cv. Alexandros, cv. Tempi, cv. Zefyros and cv. Pigasos, were used. The cultivation was conducted using a strip-plot design with the six varieties randomized within each plot in two farming systems (conventional and low-input). Filippos was the best variety in conventional farming for seed yield, followed by Omiros. Omiros was the best variety in the low-input farming system for seed yield. Comparisons between conventional and low-input farming systems generally did not display any effect on stability estimations, but revealed the varieties that exhibit stable performance even in low-input farming systems. Stability analysis via the AMMI1 and GxE biplot analysis for one main factor showed two groups of varieties for seed yield with similar behavior. Genotype and environment distribution were used to group varieties that showed better performance in certain environments for seed yield but with differences in comparison to other traits. Correlations between traits showed the positive relation of seed yield to the number of pods per plant, the number of seeds per pod, the pod length, the mean weight of pods and, especially, the hay weight ( r = 0.771), a useful finding for indirect selection for breeders. The results provide valuable data regarding the genetic material, its adaptability and stability in varied environments and suitability for low-input cultivation systems.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:4:p:369-:d:538716
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/11/4/369/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/11/4/369/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Tiffany L. Fess & James B. Kotcon & Vagner A. Benedito, 2011. "Crop Breeding for Low Input Agriculture: A Sustainable Response to Feed a Growing World Population," Sustainability, MDPI, vol. 3(10), pages 1-31, October.
    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 & 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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. Yan-yun Han & Kai-yi Wang & Zhong-qiang Liu & Shou-hui Pan & Xiang-yu Zhao & Qi Zhang & Shu-feng Wang, 2020. "Research on Hybrid Crop Breeding Information Management System Based on Combining Ability Analysis," Sustainability, MDPI, vol. 12(12), pages 1-16, June.
    2. Obafemi O. Olubanjo & Oluwafemi D. Adaramola & Adebolu E. Alade & Chukwudi J. Azubuike, 2022. "Development of Drip Flow Technique Hydroponic in Growing Cucumber," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 11(2), pages 1-67, April.
    3. Hanson, Erik D. & Cossette, Max K. & Roberts, David C., 2022. "The adoption and usage of precision agriculture technologies in North Dakota," Technology in Society, Elsevier, vol. 71(C).
    4. Hanson, Erik & Roberts, David C., 2020. "Precision Agriculture Technology Usage and Adoption Patterns," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304265, Agricultural and Applied Economics Association.
    5. Michal Kulak & Thomas Nemecek & Emmanuel Frossard & Gérard Gaillard, 2013. "How Eco-Efficient Are Low-Input Cropping Systems in Western Europe, and What Can Be Done to Improve Their Eco-Efficiency?," Sustainability, MDPI, vol. 5(9), pages 1-22, September.
    6. Sadeghi, Seyyed Mustafa & Noorhosseini, Seyyed Ali & Damalas, Christos A., 2018. "Environmental sustainability of corn (Zea mays L.) production on the basis of nitrogen fertilizer application: The case of Lahijan, Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 48-55.
    7. Ian Paul Navea & Jae-Hyuk Han & Na-Hyun Shin & O New Lee & Soon-Wook Kwon & Il-Ryong Choi & Joong Hyoun Chin, 2022. "Assessing the Effect of a Major Quantitative Locus for Phosphorus Uptake ( Pup1 ) in Rice ( O. sativa L.) Grown under a Temperate Region," Agriculture, MDPI, vol. 12(12), pages 1-16, November.
    8. Serena Mariani, 2021. "Law-Driven Innovation in Cereal Varieties: The Role of Plant Variety Protection and Seed Marketing Legislation in the European Union," Sustainability, MDPI, vol. 13(14), pages 1-14, July.
    9. Yoshitaka Miyake & Shota Kimoto & Yuta Uchiyama & Ryo Kohsaka, 2022. "Income Change and Inter-Farmer Relations through Conservation Agriculture in Ishikawa Prefecture, Japan: Empirical Analysis of Economic and Behavioral Factors," Land, MDPI, vol. 11(2), pages 1-18, February.
    10. Leonardo Caproni & Lorenzo Raggi & Carlo Tissi & Sally Howlett & Renzo Torricelli & Valeria Negri, 2018. "Multi-Environment Evaluation and Genetic Characterisation of Common Bean Breeding Lines for Organic Farming Systems," Sustainability, MDPI, vol. 10(3), pages 1-17, March.
    11. Agnieszka Faligowska & Katarzyna Panasiewicz & Grażyna Szymańska & Karolina Ratajczak & Hanna Sulewska & Agnieszka Pszczółkowska & Anna Kocira, 2020. "Influence of Farming System on Weed Infestation and on Productivity of Narrow-Leaved Lupin ( Lupinus angustifolius L.)," Agriculture, MDPI, vol. 10(10), pages 1-10, October.
    12. Leangsrun Chea & Cut Erika & Marcel Naumann & Inga Smit & Bernd Horneburg & Elke Pawelzik, 2021. "Morphological, Leaf Nutrient, and Fruit Quality Characteristics of Diverse Tomato Cultivars under Organic Low-Input Management," Sustainability, MDPI, vol. 13(21), pages 1-17, November.

    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:4:p:369-:d:538716. 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.