Modeling Stability of Alfalfa Yield and Main Quality Traits

Vasileios Greveniotis (), Elisavet Bouloumpasi, Adriana Skendi, Athanasios Korkovelos, Dimitrios Kantas, Stylianos Zotis and Constantinos G. Ipsilandis
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Vasileios Greveniotis: Hellenic Agricultural Organization Demeter, Institute of Industrial and Forage Crops, GR-41335 Larissa, Greece
Elisavet Bouloumpasi: Department of Agricultural Biotechnology and Oenology, International Hellenic University, GR-66100 Drama, Greece
Adriana Skendi: Department of Agricultural Biotechnology and Oenology, International Hellenic University, GR-66100 Drama, Greece
Athanasios Korkovelos: Directorate of Water Management of Thessaly, Decentralized Administration of Thessaly—Central Greece, GR-41335 Larissa, Greece
Dimitrios Kantas: Department of Animal Science, University of Thessaly, Campus Gaiopolis, GR-41500 Larissa, Greece
Stylianos Zotis: Department of Agricultural Technology, Technological Educational Institute of Western Macedonia, GR-53100 Florina, Greece
Constantinos G. Ipsilandis: Regional Administration of Crete, GR-71201 Heraklion, Greece

Agriculture, 2024, vol. 14, issue 4, 1-17

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.

Keywords: yield; stability index; selection; adaptability; AMMI; GGE (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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