Plot Size and Number of Replications for Evaluation of the Yield of Grains in Cultivars and Dates of Sowing of Rye
Autor: | Gabriela Görgen Chaves, Cláudia Marques de Bem, Rosana Marzari Thomasi, Daniela Lixinski Silveira, Alberto Cargnelutti Filho, Cirineu Tolfo Bandeira |
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Rok vydání: | 2017 |
Předmět: |
Secale
Yield (engineering) biology Coefficient of variation 0402 animal and dairy science Randomized block design Sowing 04 agricultural and veterinary sciences biology.organism_classification 040201 dairy & animal science Crop Horticulture 040103 agronomy & agriculture Tukey's range test 0401 agriculture forestry and fisheries Cultivar Mathematics |
Zdroj: | Journal of Agricultural Science. 10:122 |
ISSN: | 1916-9760 1916-9752 |
DOI: | 10.5539/jas.v10n1p122 |
Popis: | The objectives of this study were to determine the optimum plot size (Xo) and the number of replications to evaluate the grains yield of rye (Secale cereale L.) and investigate the variability of Xo between two cultivars and three sowing dates. Eighteen uniformity trials were conducted with rye. The Xo was determined by the method of maximum curvature of the coefficient of variation model. The number of repetitions was determined in scenarios formed by combinations of i treatments (i = 3, 4, ... 50) and d minimum differences between means of treatments to be detected as significant at 0.05 of probability, by Tukey test, expressed in percentage of the average of the experiment (d = 10, 12, ... 30%). There is variability in optimum plot size to evaluate the grains yield among the cultivars BRS Progresso and Temprano and among sowing dates in the rye crop. The optimum plot size to evaluate the grains yield of rye is 6.08 m2. Seven replicates are sufficient to evaluate the grains yield of rye in experiments with up to 50 treatments, and identify, as significant at 5% probability by Tukey test, differences among averages of treatments of 29.65% of the mean of the experiment in designs completely randomized and randomized block. |
Databáze: | OpenAIRE |
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