2019
DOI: 10.5539/jas.v11n11p285
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Plot Size Related to Numbers of Treatments and Replications, and Experimental Precision in Conilon Coffee From Clonal Seedlings of LB1

Abstract: In the execution of experiments involving agricultural crops, it is essential that the researcher is able to initially establish the outline, the amount of treatments, replication and the plot sizes, to predict the physical space and waste of material. The planning is not always easy due to the lack of research pointing out the adequate plot size, especially in experiments throughout seedlings stage. The objective of this work was to determine the adequate plot size for experiments with conilon coffee clone LB… Show more

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Cited by 1 publication
(2 citation statements)
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“…The coefficient of variation (CV) reflects data variability, with the number of leaves showing the highest CV among non-destructive traits, and the root dry matter exhibiting the highest CV among destructive traits, being consistent with the findings by Santos et al (2019).…”
Section: Resultssupporting
confidence: 79%
See 1 more Smart Citation
“…The coefficient of variation (CV) reflects data variability, with the number of leaves showing the highest CV among non-destructive traits, and the root dry matter exhibiting the highest CV among destructive traits, being consistent with the findings by Santos et al (2019).…”
Section: Resultssupporting
confidence: 79%
“…Following staking, the seedlings were transferred after 90 days to the plant breeding laboratory of the Universidade Federal do Espírito Santo. Non-destructive traits were recorded, including shoot height (SH), measured in centimeters using a graduated ruler from the stem base to the insertion of the last leaf; number of leaves, determined by counting all leaves of each seedling; collar diameter (CD), measured in millimeters using a digital caliper at 3 cm from the substrate surface; and leaf area per seedling, scanned with a Vupoint ® Solutions Magic Wand portable scanner (PDS-ST415-VPS) at 75 dpi in .TIFF format, a non-destructive method preferred for its accuracy (Santos et al 2023), and analyzed using the ImageJ ® software (Schindelin et al 2015).…”
Section: Methodsmentioning
confidence: 99%