Optimal plot size for cabbage experiments

Vinicius De Freitas Mateus ,Edevaldo De Castro Monteiro,Rogério Figueiredo Daher,Wagner Bastos Dos Santos Oliveira,Jaídson Gonçalves Da Rocha,Josimar Nogueira Batista,Samyra De Araújo Capetini,Richardson Sales Rocha,Geraldo De Amaral Gravina,Derivaldo Pureza Da Cruz,Mário Euclides Pechara Da Costa Jaeggi ,Tâmara Rebecca Albuquerque De Oliveira ,Magno Do Carmo Parajára ,Alexandre Gomes De Souza ,Israel Martins Pereira ,Rogério Rangel Rodrigues ,Thiago Blunck Rezende Moreira ,Rita De Kássia Guarnier Da Silva ,Gisele Rodriguês Moreira ,Camila Queiroz Da Silva Sanfim De Sant’anna

doi:10.33448/rsd-v9i11.9744

Abstract

Among the factors that influence the detection of minimum significant differences between treatments in conventional experiments is the size of the plot, whose correct determination allows the reduction of experimental error, consequently, increases the precision of the experiment and the reliability of the interpretations and conclusions obtained. There are different methods to estimate the optimal plot size, which relate plot size and residual variation, highlighting among these the methods of maximum curvature, maximum modified curvature, maximum curvature of the coefficient of variation and regression with plateau response. In addition to these, there is the Hatheway method that takes into account factors such as number of treatments, repetitions and levels of significance. Since there is little work to estimate the optimal plot size in experiments with species of the genus Brassica, the present study aimed to increase the experimental precision in experiments with cabbage in the municipality of Alegre - ES by determining the optimal plot size with based on Hatheway's methods, maximum curvature, maximum curvature of the coefficient of variation and plateau regression. The work was carried out by means of a blank test carried out in the experimental area of the Center for Agricultural Sciences of the Federal University of Espírito Santo, Alegre - ES, in which both productive and growth variables were evaluated. At the end of the project, propose the optimal plot size to be used in experiments with cabbage in order to increase the experimental precision and the reliability of the results obtained in future experiments.

Highlights

Among the most consumed vegetables in Brazil, brassicas are one of the most consumed, only behind Solanaceae, such as potatoes and tomatoes
There is the Hatheway method that takes into account factors such as number of treatments, repetitions and levels of significance
On August 1, 2013, cabbage seeds were sown in the Green Valley cultivar

Summary

Introduction

Among the most consumed vegetables in Brazil, brassicas are one of the most consumed, only behind Solanaceae, such as potatoes and tomatoes. In Europe, Portugal and Spain have the highest per capita consumption. In Brazil, the preference for these vegetables is not different, with cabbage Capitata L.) being the most consumed brassica. Obtaining new information in various areas of study, including agronomy, is often obtained by conducting scientific experiments. In planning and carrying out these, several factors such as the size and shape of the plot, the number of repetitions, the experimental design, among others, directly influence the variability inherent in the experiment.

Objectives

Methods

Conclusion