Genotype–Environment Interaction in Shaping the Agronomic Performance of Silage Maize Varieties Cultivated in Organic Farming Systems
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| dc.abstract.en | Organic production systems impose strong environmental constraints on silage maize, yet the relative contributions of genotype, environment and their interaction (G × E) to key performance traits remain insufficiently resolved. This study evaluated six maize cultivars across 11 organically managed environments (location × year combinations) in Poland, assessing weed infestation, plant height, fresh matter yield, dry matter content and dry matter yield. Genotype × environment interaction was explicitly analyzed using AMMI-based models, and cultivar adaptability and stability were evaluated using complementary indices. Environmental effects consistently dominated all traits, explaining 78–91% of total variation, while G × E interactions, though smaller, were significant and altered cultivar rankings. Weed infestation ranged widely across environments, from below 10% to over 90%, and was almost entirely environment-driven. Yield-related traits followed a strong precipitation gradient, with Pawłowice and Śrem showing the highest biomass potential. SM Perseus produced the greatest dry matter yields (13.53 t·ha−1), whereas SM Mieszko combined high dry matter content (37.73%) with outstanding stability. Mega-environment analysis identified distinct adaptive niches, confirming that no genotype performed consistently best across all conditions. These findings close a key knowledge gap regarding cultivar performance under organic management and demonstrate the necessity of multi-environment evaluation that integrates performance, stability and adaptability analyses to support site-specific cultivar recommendations that enhance biomass productivity and silage quality in ecologically managed maize systems. | |
| dc.affiliation | Wydział Rolnictwa, Ogrodnictwa i Biotechnologii | |
| dc.affiliation.institute | Katedra Metod Matematycznych i Statystycznych | |
| dc.affiliation.institute | Katedra Agronomii | |
| dc.contributor.author | Marcinkowska, Katarzyna | |
| dc.contributor.author | Kolańska, Karolina | |
| dc.contributor.author | Banaś, Konrad | |
| dc.contributor.author | Łacka, Agnieszka | |
| dc.contributor.author | Lenartowicz, Tomasz | |
| dc.contributor.author | Szulc, Piotr | |
| dc.contributor.author | Bujak, Henryk | |
| dc.date.access | 2026-01-07 | |
| dc.date.accessioned | 2026-01-07T08:27:09Z | |
| dc.date.available | 2026-01-07T08:27:09Z | |
| dc.date.copyright | 2026-01-03 | |
| dc.date.issued | 2026 | |
| dc.description.abstract | <jats:p>Organic production systems impose strong environmental constraints on silage maize, yet the relative contributions of genotype, environment and their interaction (G × E) to key performance traits remain insufficiently resolved. This study evaluated six maize cultivars across 11 organically managed environments (location × year combinations) in Poland, assessing weed infestation, plant height, fresh matter yield, dry matter content and dry matter yield. Genotype × environment interaction was explicitly analyzed using AMMI-based models, and cultivar adaptability and stability were evaluated using complementary indices. Environmental effects consistently dominated all traits, explaining 78–91% of total variation, while G × E interactions, though smaller, were significant and altered cultivar rankings. Weed infestation ranged widely across environments, from below 10% to over 90%, and was almost entirely environment-driven. Yield-related traits followed a strong precipitation gradient, with Pawłowice and Śrem showing the highest biomass potential. SM Perseus produced the greatest dry matter yields (13.53 t·ha−1), whereas SM Mieszko combined high dry matter content (37.73%) with outstanding stability. Mega-environment analysis identified distinct adaptive niches, confirming that no genotype performed consistently best across all conditions. These findings close a key knowledge gap regarding cultivar performance under organic management and demonstrate the necessity of multi-environment evaluation that integrates performance, stability and adaptability analyses to support site-specific cultivar recommendations that enhance biomass productivity and silage quality in ecologically managed maize systems.</jats:p> | |
| dc.description.accesstime | at_publication | |
| dc.description.bibliography | il., bibliogr. | |
| dc.description.finance | publication_nocost | |
| dc.description.financecost | 0,00 | |
| dc.description.if | 3,6 | |
| dc.description.number | 1 | |
| dc.description.points | 100 | |
| dc.description.version | final_published | |
| dc.description.volume | 16 | |
| dc.identifier.doi | 10.3390/agriculture16010123 | |
| dc.identifier.issn | 2077-0472 | |
| dc.identifier.uri | https://sciencerep.up.poznan.pl/handle/item/6609 | |
| dc.identifier.weblink | https://www.mdpi.com/2077-0472/16/1/123 | |
| dc.language | en | |
| dc.relation.ispartof | Agriculture (Switzerland) | |
| dc.relation.pages | art. 123 | |
| dc.rights | CC-BY | |
| dc.sciencecloud | nosend | |
| dc.share.type | OPEN_JOURNAL | |
| dc.subject.en | AMMI analysis | |
| dc.subject.en | cultivar adaptability | |
| dc.subject.en | dry matter yield | |
| dc.subject.en | mega-environment analysis | |
| dc.subject.en | silage yield stability | |
| dc.subject.en | weed infestation | |
| dc.title | Genotype–Environment Interaction in Shaping the Agronomic Performance of Silage Maize Varieties Cultivated in Organic Farming Systems | |
| dc.type | JournalArticle | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 1 | |
| oaire.citation.volume | 16 |