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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Bibliographic Details
Published in:	Journal of Seed Science
Main Authors:	Martha Freire da Silva, Júlia Martins Soares, Maycon Silva Martins, Francisco Charles dos Santos Silva, Felipe Lopes da Silva, Laércio Junio da Silva
Format:	Article
Language:	English
Published:	Associação Brasileira de Tecnologia de Sementes 2024-01-01
Subjects:	Glycine max L. Merrill longevity physiological quality of seeds seed deterioration seed vigor
Online Access:	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2317-15372024000100201&tlng=en

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