GenomicLand: a user-friendly tool for genomic prediction and association studies
| dc.contributor.author | Azevedo, Camila F. | |
| dc.contributor.author | Nascimento, Moyses | |
| dc.contributor.author | Fontes, Vitor C. | |
| dc.contributor.author | Cruz, Cosme D. | |
| dc.date.accessioned | 2026-09-24T19:30:58Z | |
| dc.date.issued | 2026 | |
| dc.description.abstract | GenomicLand is a free, open-source platform for genomic prediction and genome-wide association studies. Developed in R software using Shiny, it supports diploid and polyploid datasets and integrates statistical learning, Bayesian, machine learning, and neural network methods. GenomicLand provides an accessible environment for researchers, breeders, and students. | en |
| dc.identifier.citation | AZEVEDO, Camila F. et al. GenomicLand: a user-friendly tool for genomic prediction and association studies. Crop Breeding and Applied Biotechnology, Viçosa, v. 26, n. 3, p. 01-10, 2026. | |
| dc.identifier.doi | http://dx.doi.org/10.1590/1984-70332026v26n3s33 | |
| dc.identifier.issn | 1984-7033 | |
| dc.identifier.uri | https://locus.ufv.br/handle/123456789/35931 | |
| dc.language.iso | eng | |
| dc.publisher | Crop Breeding and Applied Biotechnology | |
| dc.relation.ispartofseries | v. 26 ; n. 3 | |
| dc.rights | Creative Commons Attribution License | |
| dc.subject | Mixed models | en |
| dc.subject | Statistical learning | en |
| dc.subject | Machine learning | en |
| dc.subject | Bayesian inference | en |
| dc.subject | Plant breeding | en |
| dc.title | GenomicLand: a user-friendly tool for genomic prediction and association studies | en |
| dc.type | Artigo |