Optimizing Bartlett test: a grain yield analysis in soybean-Reference-Cited by-同舟云学术

Optimizing Bartlett test: a grain yield analysis in soybean

Published:2023 Issue:6 Volume:53 Page:
ISSN:1678-4596
Container-title:Ciência Rural
language:
Short-container-title:Cienc. Rural

Author:

Souza Rafael Rodrigues de¹^ORCID,Toebe Marcos¹^ORCID,Mello Anderson Chuquel¹^ORCID,Bittencourt Karina Chertok¹^ORCID,Toebe Iris Cristina Datsch²^ORCID

Affiliation:

1. Universidade Federal de Santa Maria (UFSM), Brazil

2. Universidade Federal do Rio Grande do Sul (UFRGS), Brazil

Abstract

ABSTRACT: This study analyzed the response of the Bartlett test as a function of sample size and to define the optimal sample size for the test with soybean grain yield data. Six experiments were conducted in a randomized block design with 20 or 30 cultivars and three repetitions. Grain yield was determined per plant, totaling 9,000 sampled plants. Next, sample scenarios of 1, 2, ..., 100 plants were simulated and the optimal sample size was defined via maximum curvature points. The increase in sampled plants per experimental unit favors Bartlett test’s precision. Also, the sampling of 17 to 20 plants per experimental unit is enough to maintain the accuracy of the test.

Publisher

FapUNIFESP (SciELO)

Subject

General Veterinary,Agronomy and Crop Science,Animal Science and Zoology

Link

http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0103-84782023000600201&tlng=en

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