Production of biquinho pepper in different growing seasons characterized by the logistic model and its critical points

Author:

Diel Maria Inês1ORCID,Lúcio Alessandro Dal’Col1,Valera Oscar Valeriano Sanchéz2,Sari Bruno Giacomini1,Olivoto Tiago3,Pinheiro Marcos Vinícius Marques4,Melo Patrícia Jesus de1,Tartaglia Francieli de Lima1,Schmidt Denise5

Affiliation:

1. Universidade Federal de Santa Maria, Brazil

2. Instituto Nacional do México, México

3. Centro Universitário UNIDEAU, Brasil

4. Universidade Federal de Santa Catarina (UFSC), Brazil

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

Abstract

ABSTRACT: The objective of this study was to characterize the production of biquinho pepper through the interpretation of parameter estimates from the logistic model and its critical points obtained by the partial derivatives of the function, and to indicate the best cultivar and growing season for subtropical climate sites. For this, a 2x3 factorial experiment was conducted with two cultivars of biquinho pepper (BRS Moema and Airetama biquinho) in three growing seasons (E1: October 2015, E2: November 2015, E3: January 2016). The logistic non-linear model for fruit mass was specified as a function of the accumulated thermal sum, and the critical points were calculated through the partial derivatives of the model, in order to characterize the productive performance of the crop by the biological interpretation of the estimates of the three set parameters. In E3, temperatures close to 0 ºC during the experiment were lethal to the plants, and a linear regression model was used in this case. The production of the cultivars in E1 and E2 were well characterized by the estimated logistic models, and the most productive cultivar was Airetama biquinho in all evaluated seasons. This cultivar also presented higher concentration of production. The two cultivars did not differ significantly with regards to productive precocity. For E3, it was not possible to interpret the parameters in the same way as for E1 and E2, since the use of the linear model did not allow the same interpretations performed for the nonlinear model, reaffirming its applicability horticultural crops of multiple harvests.

Publisher

FapUNIFESP (SciELO)

Subject

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

Reference43 articles.

1. Metabolism of reactive oxygen species and reactive nitrogen species in pepper (Capsicum annuum L.) plants under low temperature stress;AIRAKI M.;Plant, Cell & Environment,,2012

2. manipulate: Interactive plots for RStudio;ALLAIRE J. J.,2014

3. Koppen’s climate classification map for Brazil;ALVARES C. A.;Meteorologische Zeitschrift,2013

4. Maximum-minimum temperatures as a basis for computing heat units;ARNOLD C. Y.;American Society for Horticultural Science,1960

5. Nonlinear Regression Analysis and its Applications;BATES D. M.,1988

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