Plot size and number of replications in Sudan grass

The aim of this study was to determine the optimal plot size and the number of replications to evaluate fresh weight in Sudan grass [Sorghum sudanense (Piper) Stapf.]. Twenty-six uniformity trials were carried out in two cultivars (BRS Estribo and CG Farrapo), in four sowing seasons (20 Dec, 20 Jan,...

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Veröffentlicht in:Semina. Ciências agrárias : revista cultural e científica da Universidade Estadual de Londrina 2020-05, Vol.41 (3), p.783-795
Hauptverfasser: Cargnelutti Filho, Alberto, Bandeira, Cirineu Tolfo, Chaves, Gabriela Gorgen, Kleinpaul, Jessica Andiara, Pezzini, Rafael Vieira, Marcio Neu, Ismael Mario, Procedi, Andreia, Thomasi, Rosana Marzari
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Sprache:eng
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Zusammenfassung:The aim of this study was to determine the optimal plot size and the number of replications to evaluate fresh weight in Sudan grass [Sorghum sudanense (Piper) Stapf.]. Twenty-six uniformity trials were carried out in two cultivars (BRS Estribo and CG Farrapo), in four sowing seasons (20 Dec, 20 Jan, 7 Feb and 24 Feb) and two methods for evaluating fresh weight (cutting and at flowering). The fresh weight was evaluated in 936 basic experimental units (BEU) (26 trials x 36 BEU per trial). One BEU comprised three rows of plants, 1 m in length (1.2 m(2)). The optimal plot size was determined using the maximum curvature method of the model of the coefficient of variation. For experiments in a completely randomised or randomised block design, in combinations of number of treatments and levels of experimental precision, the number of replications was determined by an iterative process. The optimal plot size to evaluate fresh weight in Sudan grass is 7.95 m(2). Eight replications, to evaluate up to 50 treatments in a completely randomised or randomised block design, are sufficient to identify as significant at 0.05% probability by Tukey's test, differences between the mean value of each treatment of 30.2% of the mean value of the experiment.
ISSN:1676-546X
1679-0359
DOI:10.5433/1679-0359.2020v41n3p783