Plot size and replications number for triticale experiments

Author:

Toebe Marcos1ORCID,Cargnelutti Filho Alberto2ORCID,Mello Anderson Chuquel1ORCID,Souza Rafael Rodrigues de1ORCID,Soares Franciéle dos Santos3ORCID,Silva Lucas Santos da3ORCID,Segatto Alexandre4ORCID

Affiliation:

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

2. Universidade Federal de Santa Maria, Brazil

3. Universidade Federal do Pampa (UNIPAMPA), Brazil

4. NUFARM BRASIL®, Brasil

Abstract

ABSTRACT: The hybridization between wheat and rye crops resulted in the triticale crop, which presents rusticity, versatility in animal and human food and possibility of use as a cover plant. The objective of this research was to determine the optimal plot size and the replications number to evaluate the fresh weight of triticale in two evaluation moments. An experiment was carried out with the triticale cultivar IPR111. The experimental area was divided into 48 uniformity trials, each containing 36 basic experimental units of 0.51 m2. The fresh weight was evaluated in 24 uniformity trials at 99 days after sowing (DAS) and in 24 uniformity trials at 127 DAS. The optimal plot size was determined by the method of the maximum curvature of the coefficient of variation and the replications number was determined in scenarios of treatments number and differences between means to be detected as significant by Tukey test. To determine the fresh weight of triticale, the optimal plot size is 3.12 m2, with coefficient of variation of 13.69%. Six replications are sufficient to identify as significant, differences between treatment means of 25% for experiments with up to seven treatments and of 30% for experiments with up to 28 treatments, regardless of the experimental design.

Publisher

FapUNIFESP (SciELO)

Subject

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

Reference9 articles.

1. Performance of fall and winter crops in a no tillage system in West Paraná State.;ALBRECHT L. P.;Acta Scientiarum,2018

2. Plot size and number of repetitions in black oat.;CARGNELUTTI FILHO A.;Ciência Rural,2014

3. Optimum experimental plot size: Proposition of estimation methods;PARANAÍBA P. F.;Revista Brasileira de Biometria,2009

4. Curso de estatística experimental;PIMENTEL-GOMES F,2009

5. R: a language and environment for statistical computing,2020

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3