Assessing the nutritional status of Southern Brazilian Eucalyptus plantations by the CND method

Author:

Squizani Wagner12ORCID,de Paula Betania Vahl1,Stefanello Lincon12ORCID,Rozane Danilo Eduardo3ORCID,de Araujo Elias Frank4,Natale William5,Brunetto Gustavo1ORCID

Affiliation:

1. Department of Soil Science, Federal University of Santa Maria (UFSM), 97105-900, Santa Maria, RS, Brazil

2. Department of Agronomy, Kansas State University (K-State), Manhattan, KS 66502, USA

3. Department of Agronomy, São Paulo State University (UNESP), Campus of Registro, 11900-000, Registro, SP, Brazil

4. Department of Soil and Management, CMPC Cellulose Rio Grandense, 92703-470, Guaíba, RS, Brazil

5. Department of Phytotechnics, Federal University of Ceará (UFC), 60356-000, Fortaleza, CE, Brazil

Abstract

Genus Eucalyptus can be grown in different soils worldwide, although it is not always ready to fulfill plants’ nutrient demands. Whenever such nutrient shortage happens, it is necessary applying the nutrients missing, which can be established based on the critical levels and sufficiency ranges (SRs) of nutrients in leaves or by multivariate mathematical models, such as the composition nutrient diagnosis (CND). This study aimed to investigate the nutritional status of Eucalyptus plantations in Brazil, based on the CND method. A total of 119 12-month-old Eucalyptus saligna (E. saligna) plantations were sampled in the Rio Grande do Sul State (RS), Southern Brazil. Nutrient concentration in leaves and the diameter at breast height (DBH) was measured. The E. saligna nutritional status was calculated through the CND method. High- and low-yield populations were set based on DBH of 4.2 cm. The SRs proposed by the CND method were narrower than the ones proposed by official recommendations for Eucalyptus, especially for magnesium (Mg), boron (B), and iron (Fe). The CND-r2 index recorded for each nutrient generated a limitation order for nutrients. The greater accuracy of the recommendations proposed by the CND method, compared with univariate and bivariate methods, contribute to reducing the use of fertilizers.

Publisher

Canadian Science Publishing

Subject

Ecology,Forestry,Global and Planetary Change

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