SAMPLE SIZE FOR THE ESTIMATION OF SOME SORGHUM TRAITS

Authors

  • PAULO SÉRGIO LIMA E SILVA
  • ZENAIDE BARBOSA
  • RANOEL JOSÉ DE SOUSA GONÇALVES
  • PAULO IGOR BARBOSA E SILVA
  • GLAUBER HENRIQUE DE SOUSA NUNES

DOI:

https://doi.org/10.18512/1980-6477/rbms.v4n02p%25p

Keywords:

Sorghum bicolor (L.) Moench, altura da planta.

Abstract

Sorghum research, just like any research involving other crops, requires a knowledge of experimental techniques that will provide the maximum precision with a minimum of resources. The objective of the present work was to evaluate the implications of sampling size over the results obtained with the application of tests F and Tukey in the analysis of sorghum traits variance. Another objective was to identify ideal sample sizes for those traits, by using two methods: use of the experimental coefficient of variation value (CV) alone; use of formula involving the variance of an estimated plot mean based on a sampling units. Eight sorghum cultivars were evaluated in a random block design with four replicates. All plants in the plot (45), in addition to eight sample sizes (varying from 5 to 40 units, at 5-unit intervals) were utilized to evaluate plant height (PH), dry matter in the vegetative above-ground part of the plant (without the panicle) (DMP), length (PL), and panicle dry matter (PDM). It was observed that the F and Tukey tests, based on samples, could result in different conclusions from those obtained when all plants in the plot are utilized to evaluate DMP and PDM. About 25 units represent samples for the estimation of the four characteristics, when the CV value is used. The adoption of the sample size formula proved that to estimate PH, DMP, PL, and PDM, the ideal sample sizes would be 14 plants, 11 plants, 14 panicles, and 24 panicles, respectively.

Published

2010-05-04

How to Cite

SILVA, P. S. L. E., BARBOSA, Z., GONÇALVES, R. J. D. S., SILVA, P. I. B. E., & NUNES, G. H. D. S. (2010). SAMPLE SIZE FOR THE ESTIMATION OF SOME SORGHUM TRAITS. REVISTA BRASILEIRA DE MILHO E SORGO, 4(02). https://doi.org/10.18512/1980-6477/rbms.v4n02p%p

Issue

Section

Scientific Paper

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