Influência do tamanho de parcelas experimentais na seleção de progênies de E. camaldulensis Dehnh.

Silva, William de Medeiros; Moraes, Mário Luiz Teixeira de; Pupin, Silvelise; Silva, Janete Motta da; Sebbenn, Alexandre Magno; Pavan, Bruno Ettore

doi:10.18671/scifor.v44n112.19

Cited by 2 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several authors emphasize the importance of plot size determination in experiments for the evaluation of new genotypes obtained in plant breeding (Leite et al, 2006;Casler, 2013;Silva et al, 2016). Many methods have been assessed with this aim, either from blank test (Meier and Lessman, 1971;Paranaíba et al, 2009;Lorentz et al, 2012) or from experiments involving analyses of variance (Pimentel-Gomes, 1984;Lin and Binns, 1984;Barbosa et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Optimum plot size for experiments with papaya genotypes in field

Schmildt¹,

Nascimento²,

Nascimento³

et al. 2018

Afr. J. Agric. Res.

View full text Add to dashboard Cite

The objective of this study was to determine a suitable plot size for field experiments with papaya genotypes. Two experiments were carried out using a randomized complete block design with 11 and 12 papaya genotypes, respectively. In both experiments, plots consisted of one row, with 10 plants each. Spacing between rows was 3.5 m, with 1.5 m between plants. The characteristic evaluated was fruit production in t ha -1 in first year of cultivation, and the basic unit used was one plant. Suitable plot size was estimated using Lin and Binns, and Hatheway's methods. These methods are complementary and should be used together in the determination of the optimum plot size. The results of these tests showed that the optimum plot size for the evaluation of yield in papaya was four plants by plot with four replications each assuming 30% of the precision for establishing differences among the means of two genotypes.

show abstract

Section: Introductionmentioning

confidence: 99%

Optimum plot size for experiments with papaya genotypes in field

Schmildt¹,

Nascimento²,

Nascimento³

et al. 2018

Afr. J. Agric. Res.

View full text Add to dashboard Cite

show abstract

“…These "cleaner" estimates of genotypic variance increase both the discriminant power of the design (Figure 1), as well as the magnitude of the genotypic variance itself, resulting in higher and better estimated values of    h . The use of an STP design is efficient and accurate in assessing the true genetic variation with respect to progeny or clonal tests for species of the Eucalyptus genus (Silva et al, 2016). Increasing the number of replications to the detriment of plot size tends to increase the accuracy of the estimates because it allows a more efficient sampling of the environment and reduces the residual variance (Resende, 1995, Gezan et al, 2006.…”

Section: Discussionmentioning

confidence: 99%