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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: 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
Sprache:Inglês
Veröffentlicht: ABRATES - Associação Brasileira de Tecnologia de Sementes 2024-01-01
Schriftenreihe:Journal of Seed Science
Schlagworte:
Glycine max L. Merrill
longevity
physiological quality of seeds
seed deterioration
seed vigor
Online-Zugang:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372024000100201&tlng=en
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