Artificial aging for predicting the storability of soybean seeds via GGE biplot

Abstract: Creation, adjustments and adoption of tests and tools that help in the prediction of seed storability have been highly demanded. Therefore, this work aimed to analyze the efficiency of different artificial aging times in predicting the performance of soybean seeds after storage, using the...

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Autors principals:	Martha Freire da Silva, Júlia Martins Soares, Maycon Silva Martins, Francisco Charles dos Santos Silva, Felipe Lopes da Silva, Laércio Junio da Silva
Format:	Artigo
Idioma:	Inglês
Publicat:	ABRATES - Associação Brasileira de Tecnologia de Sementes 2024-01-01
Col·lecció:	Journal of Seed Science
Matèries:	Glycine max L. Merrill longevity physiological quality of seeds seed deterioration seed vigor
Accés en línia:	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372024000100201&tlng=en
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