Modeling Stability of Alfalfa Yield and Main Quality Traits

Author:

Greveniotis Vasileios12,Bouloumpasi Elisavet3ORCID,Skendi Adriana3ORCID,Korkovelos Athanasios4,Kantas Dimitrios5ORCID,Zotis Stylianos2,Ipsilandis Constantinos G.6

Affiliation:

1. Hellenic Agricultural Organization Demeter, Institute of Industrial and Forage Crops, GR-41335 Larissa, Greece

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

3. Department of Agricultural Biotechnology and Oenology, International Hellenic University, GR-66100 Drama, Greece

4. Directorate of Water Management of Thessaly, Decentralized Administration of Thessaly—Central Greece, GR-41335 Larissa, Greece

5. Department of Animal Science, University of Thessaly, Campus Gaiopolis, GR-41500 Larissa, Greece

6. Regional Administration of Crete, GR-71201 Heraklion, Greece

Abstract

Alfalfa (Medicago sativa L.) is used to support livestock. A stability study was carried out over three years. The stability indices for yield and main quality characteristics such as plant height, number of nodes, the yield of green mass and dry matter, crude protein and fiber (%), and ash (%), were examined. Statistical analysis revealed significant differences that indicated the presence of high genotype–year interactions. Heritability was higher in the case of qualitative traits than quantitative traits. The most intriguing correlation was between green mass yield and crude protein content because positive correlations may lead to indirect and simultaneous selection. According to the statistical biplot models AMMI and GGE, the best genotypes for almost all traits to use, regardless of the environment and cultivation type, were the G8 (Population 2) followed by cultivar G3 (Yliki). Despite the high index values shown by the parameter number of nodes, the latter and yield showed low heritability.

Publisher

MDPI AG

Reference65 articles.

1. Richard, C. (2011, January 20–25). Utilising Lucernes potential for dairy farming. Proceedings of the 18th International Farm Managment Congress, Methven, Canterbury, New Zealand.

2. Yield Components of Alfalfa (Medicago sativa L.) Varieties;Agrociencia,2017

3. Adaptability, forage yield and nutritional quality of alfalfa (Medicago sativa) genotypes;Atumo;Sustain. Environ.,2021

4. Evaluation of genetic diversity among Saudi Arabian and Egyptian cultivars of alfalfa (Medicago sativa L.) using ISSR and SCoT markers;Alzahrani;J. Taibah Univ. Sci.,2023

5. Liatukienė, A., Norkevičienė, E., Danytė, V., and Liatukas, Ž. (2023). Diversity of Agro-Biological Traits and Development of Diseases in Alfalfa Cultivars during the Contrasting Vegetation Seasons. Sustainability, 15.

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