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Stability of the hypocotyl length of soybean cultivars using neural networks and traditional methods Ciência Rural
Alves,Guilherme Ferreira; Nogueira,João Pedro Garcia; Machado Junior,Ronaldo; Ferreira,Silvana da Costa; Nascimento,Moysés; Matsuo,Eder.
ABSTRACT: The length of the hypocotyl has been highlighted as a potential descriptor of the soybean crop. However, there is no information available in the published literature about its behavior over several planting times. The present study aimed to identify soybean cultivars with stability and predictability of hypocotyl length behavior through neural networks and traditional adaptability and stability methodologies. We analyzed 16 soybean cultivars in 6 planting seasons under greenhouse conditions. In each season, a randomized block design with 4 replications was adopted. The experimental unit was composed of 3 plants. The plot mean was used in the analysis. Hypocotyl length data were analyzed by analysis of variance and Tukey’s test. Then analyses...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Glycine max; Interaction between genotypes and environments; Eberhart-Russell stability analysis artificial intelligence hypocotyl length.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000300201
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