Abstract
ABSTRACT Were evaluated three characters in papaya seedlings 'Baixinho de Santa Amália' to estimate the optimum plot size and the number of replications in a completely randomized experiment, a randomized block and Latin square. The characters were seedling height, leaf number and length of roots from uniformity test with 240 seedlings. The determination of the optimum plot size was done by applying the method of Hatheway (1961). The number of seedlings per plot for seedling production is variable depending on the number of treatments and replications assumed precision, the character in question and the experimental design. Comparing designs, the plot size is greater in the Latin square, followed by a randomized block design and completely randomized, and this difference is more pronounced the lower the number of treatments and replicates used. For the same number of treatments and the same precision, the most efficient use of the experimental area is given using smaller plot, with more replications, which require less space in the nursery than larger plots with fewer replications. For experiments completely randomized and randomized blocks with five or more treatments, four replications, and precision of 15% around the mean, it is recommended to use nine seedlings per plot.
Highlights
In conducting any experiment must begin with proper planning
The majority of researchers still choose to determine the size of the plot of arbitrary shape, the ideal is to make that choice based on scientific criteria, which typically involve the use of uniformity tests, called blank test
This study aimed to determine the optimal size of plots in the evaluation of papaya seedlings ‘Baixinho de Santa Amália’, in tubes, for experimental design completely randomized, in a randomized blocks and Latin square, using the method of Hatheway (1961)
Summary
In conducting any experiment must begin with proper planning. In this planning, after having been determined the characters to be studied, and what design will be adopted, the researcher begins to quantify how much material will be required to perform the test, and this should determine the size of each plot (FIRMINO et al, 2012). The majority of researchers still choose to determine the size of the plot of arbitrary shape, the ideal is to make that choice based on scientific criteria, which typically involve the use of uniformity tests, called blank test. In these tests, is demonstrated that there is nonlinear relationship between the experimental error and the size of the plot (SMITH, 1938; MEIER; LESSMAN, 1971). Seek to the optimum plot size (MEIER; LESSMAN, 1971; PARANAÍBA et al, 2009; LORENTZ et al, 2012)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
