Optimum environment number for the national sunflower trials network



Document title: Optimum environment number for the national sunflower trials network
Journal: Acta scientiarum. Agronomy
Database: PERIÓDICA
System number: 000459998
ISSN: 1679-9275
Authors: 1
1
1
2
3
4
Institutions: 1Universidade Federal de Vicosa, Laboratorio de Bioinformatica, Vicosa, Minas Gerais. Brasil
2Empresa Brasileira de Pesquisa Agropecuaria, Soja, Londrina, Parana. Brasil
3Universidade Federal de Mato Grosso, Cuiaba, Mato Grosso. Brasil
4Instituto Federal de Educacao, Ciencia e Tecnologia do Sul de Minas Gerais, Muzambinho, Minas Gerais. Brasil
Year:
Volumen: 42
Country: Brasil
Language: Inglés
Document type: Artículo
Approach: Analítico
English abstract This work aimed to present the optimum environment number methodology and propose the optimization of the National Sunflower Trials Network, by means of the environments exclusion that do not provide loss of the environmental variability already established. Grain and oil yield data of 16 genotypes evaluated at 16 environments of the National Sunflower Trials Network, obtained from trials conducted out-of-season in 2012 and 2013 were used. An analysis was proposed to establish the optimum environment number for genotypes evaluation, based on genotype performance in the various environmental combinations. The removal or maintenance of environments in the experimental network was dynamic, since different environmental combinations impacted the representativeness of the complete network in a different way. This analysis also provides a graphical view of the impact of the environment removal from the network. Once detected points below the established correlation, the researcher could infer about the network minimum environment number and, suggest through consistent information of several testing years, the environment exclusion
Disciplines: Agrociencias
Keyword: Plantas ornamentales,
Girasol,
Helianthus annuus,
Estratificación ambiental,
Redes experimentales
Keyword: Ornamental plants,
Sunflower,
Helianthus annuus,
Environmental stratification,
Experimental networks
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