Optimizing Fodder Yield and Quality Through Grass-Legume Relay Intercropping in the Mediterranean Region.

Clicks: 110
ID: 282009
2025
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #72 of 87 articles by views in Plants (Basel, Switzerland)

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
An annual relay intercropping of grasses and legumes (LGI) (50:50) was compared with the sole crops, respectively, to determine the effect of the mixtures on the yield and quality of them as fodder in the Mediterranean region. The treatments were sole Rye (; G1), Ryegrass ( G2), Faba bean ( L.; L1), Berssem ( L.; L2), inoculated Clover ( L.; L3), and all the combinations of grasses and legumes. The experiment used a randomized block design with three blocks. ANOVA showed significant effects of intercropping on the biomass yield (BY) and the forage quality. Monocrops L2 and L3 showed better fodder quality than LGI and L1. The relative land-use efficiency (RLI) was higher for four out of six intercrops, while G2L1 and G2L3 had an RLI < 1, indicating lower efficiency than their monocrops. The Aggressivity Index (AG) showed that L1 was competitive against the grasses. The Relative Yield Maximization (RYM) demonstrated that intercropping significantly improved the biomass yield. The competition indices revealed that G1 with legumes had the highest efficiency and economic viability (ELER > 1), while the G2 combinations were less profitable. The study highlights the importance of selecting species based on soil fertility and climatic conditions to optimize intercropping outcomes.
Reference Key
folina2025optimizing Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Folina, Antigolena; Stavropoulos, Panteleimon; Mavroeidis, Antonios; Roussis, Ioannis; Kakabouki, Ioanna; Tsiplakou, Eleni; Bilalis, Dimitrios
Journal Plants (Basel, Switzerland)
Year 2025
DOI
10.3390/plants14060877
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.