Genotype-environment interaction for grain yield in maize (Zea mays L.) using the additive main effects and multiplicative interaction (AMMI) model
| cris.virtual.author-orcid | 0000-0002-0102-0084 | |
| cris.virtual.author-orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtual.author-orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtualsource.author-orcid | 51a5a68b-106b-4e9d-bd9b-79d15d3ec0c1 | |
| cris.virtualsource.author-orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| cris.virtualsource.author-orcid | #PLACEHOLDER_PARENT_METADATA_VALUE# | |
| dc.abstract.en | Genotype-environment interaction consists of the different response of individual genotypes resulting from changing environmental conditions. Its significance is a phenomenon that makes the breeding process very difficult. On the one hand, the breeder expects stable genotypes, i.e., yielding similarly regardless of environmental conditions. On the other hand, selecting the best genotypes for each region is one of the key challenges for breeders and farmers. The aim of this study was to evaluate genotype-by-environment interaction for grain yield in new maize hybrids developed by Plant Breeding Smolice Co. Ltd., utilizing the additive main effects and multiplicative interaction (AMMI) model. The investigation involved 69 maize (Zea mays L.) hybrids, tested across five locations in a randomized complete block design with three replications. Grain yield varied from 8.76 t ha–1 (SMH_16417 in Smolice) to 16.89 t ha–1 (SMH_16043 in Płaczkowo), with a mean yield of 13.16 t ha–1. AMMI analysis identified significant effects of genotype, environment, and their interaction on grain yield. Analysis of variance indicated that 25.12% of the total variation in grain yield was due to environment factor, 35.20% to genotypic differences, and 21.18% to genotype by environmental interactions. Hybrids SMH_1706 and SMH_1707 are recommended for further breeding programs due to their high stability and superior average grain yield. | |
| dc.affiliation | Wydział Rolnictwa, Ogrodnictwa i Biotechnologii | |
| dc.affiliation.institute | Katedra Metod Matematycznych i Statystycznych | |
| dc.contributor.author | Bocianowski, Jan | |
| dc.contributor.author | Nowosad, Kamila | |
| dc.contributor.author | Rejek, Dariusz | |
| dc.date.access | 2025-02-27 | |
| dc.date.accessioned | 2025-03-03T07:48:14Z | |
| dc.date.available | 2025-03-03T07:48:14Z | |
| dc.date.copyright | 2024-08-08 | |
| dc.date.issued | 2024 | |
| dc.description.abstract | <jats:title>Abstract</jats:title><jats:p>Genotype-environment interaction consists of the different response of individual genotypes resulting from changing environmental conditions. Its significance is a phenomenon that makes the breeding process very difficult. On the one hand, the breeder expects stable genotypes, i.e., yielding similarly regardless of environmental conditions. On the other hand, selecting the best genotypes for each region is one of the key challenges for breeders and farmers. The aim of this study was to evaluate genotype-by-environment interaction for grain yield in new maize hybrids developed by Plant Breeding Smolice Co. Ltd., utilizing the additive main effects and multiplicative interaction (AMMI) model. The investigation involved 69 maize (<jats:italic>Zea mays</jats:italic> L.) hybrids, tested across five locations in a randomized complete block design with three replications. Grain yield varied from 8.76 t ha<jats:sup>–1</jats:sup> (SMH_16417 in Smolice) to 16.89 t ha<jats:sup>–1</jats:sup> (SMH_16043 in Płaczkowo), with a mean yield of 13.16 t ha<jats:sup>–1</jats:sup>. AMMI analysis identified significant effects of genotype, environment, and their interaction on grain yield. Analysis of variance indicated that 25.12% of the total variation in grain yield was due to environment factor, 35.20% to genotypic differences, and 21.18% to genotype by environmental interactions. Hybrids SMH_1706 and SMH_1707 are recommended for further breeding programs due to their high stability and superior average grain yield.</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 | 2,00 | |
| dc.description.number | 4 | |
| dc.description.points | 140 | |
| dc.description.version | final_published | |
| dc.description.volume | 65 | |
| dc.identifier.doi | 10.1007/s13353-024-00899-4 | |
| dc.identifier.eissn | 2190-3883 | |
| dc.identifier.issn | 1234-1983 | |
| dc.identifier.uri | https://sciencerep.up.poznan.pl/handle/item/2532 | |
| dc.language | en | |
| dc.relation.ispartof | Journal of Applied Genetics | |
| dc.relation.pages | 653-664 | |
| dc.rights | CC-BY | |
| dc.sciencecloud | nosend | |
| dc.share.type | OTHER | |
| dc.subject.en | stability | |
| dc.subject.en | corn | |
| dc.subject.en | genotype selection index | |
| dc.subject.en | multi-locations experiment | |
| dc.subject.en | hybrids | |
| dc.title | Genotype-environment interaction for grain yield in maize (Zea mays L.) using the additive main effects and multiplicative interaction (AMMI) model | |
| dc.type | JournalArticle | |
| dspace.entity.type | Publication | |
| oaire.citation.issue | 4 | |
| oaire.citation.volume | 65 |