Accuracy of DRIS and CND methods and nutrient sufficiency ranges for soybean crops in the Northeast of Brazil

IF 1.2 4区 农林科学 Q3 AGRONOMY Acta Scientiarum. Agronomy. Pub Date : 2023-03-21 DOI:10.4025/actasciagron.v45i1.59006
H. A. Souza, D. Rozane, P. F. D. M. J. Vieira, E. Sagrilo, L. Leite, Lucélia de Cássia Rodrigues de Brito, Mariana Passos Conceição, A. Ferreira
{"title":"Accuracy of DRIS and CND methods and nutrient sufficiency ranges for soybean crops in the Northeast of Brazil","authors":"H. A. Souza, D. Rozane, P. F. D. M. J. Vieira, E. Sagrilo, L. Leite, Lucélia de Cássia Rodrigues de Brito, Mariana Passos Conceição, A. Ferreira","doi":"10.4025/actasciagron.v45i1.59006","DOIUrl":null,"url":null,"abstract":"This study aimed to evaluate the nutrition of commercial soybean crops in an agricultural frontier region using the diagnosis and recommendation integrated system (DRIS) and compositional nutrient diagnosis (CND) methods, as well as identify sufficiency ranges. The study was performed by collecting leaf samples (third trifoliate leaf without petiole) at flowering from commercial soybean crops in the states of Piauí and Maranhão, Brazil, and evaluating the crop yield by analyzing macro- and micronutrients in the plant tissue of 98 samples. The DRIS and CND methods were applied based on the cataloged data, followed by the generation of norms, analysis of relationships between yield and nutrients (selecting high-yield crops by the cumulative function of the data), generation of sufficiency ranges, and comparison of methods. The relationships obtained by the DRIS and CND indices with the yield and nutrients were significant, indicating that both methods can be employed for the evaluation of leaf nutrients in soybean. The sufficiency ranges from the DRIS and CND methods presented superior nutrient ranges in relation to the values proposed in the literature for macronutrients, except for nitrogen, and greater range amplitudes for micronutrients.","PeriodicalId":56373,"journal":{"name":"Acta Scientiarum. Agronomy.","volume":"8 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Scientiarum. Agronomy.","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.4025/actasciagron.v45i1.59006","RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

Abstract

This study aimed to evaluate the nutrition of commercial soybean crops in an agricultural frontier region using the diagnosis and recommendation integrated system (DRIS) and compositional nutrient diagnosis (CND) methods, as well as identify sufficiency ranges. The study was performed by collecting leaf samples (third trifoliate leaf without petiole) at flowering from commercial soybean crops in the states of Piauí and Maranhão, Brazil, and evaluating the crop yield by analyzing macro- and micronutrients in the plant tissue of 98 samples. The DRIS and CND methods were applied based on the cataloged data, followed by the generation of norms, analysis of relationships between yield and nutrients (selecting high-yield crops by the cumulative function of the data), generation of sufficiency ranges, and comparison of methods. The relationships obtained by the DRIS and CND indices with the yield and nutrients were significant, indicating that both methods can be employed for the evaluation of leaf nutrients in soybean. The sufficiency ranges from the DRIS and CND methods presented superior nutrient ranges in relation to the values proposed in the literature for macronutrients, except for nitrogen, and greater range amplitudes for micronutrients.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
巴西东北部大豆作物的DRIS和CND方法的准确性和营养充足范围
本研究旨在应用诊断与推荐集成系统(DRIS)和成分营养诊断(CND)方法对某农业前沿地区商品大豆作物的营养进行评价,并确定其充足范围。该研究通过收集巴西Piauí和maranh州商品大豆作物开花时的叶片样本(第三个没有叶柄的三叶叶),并通过分析98个样本的植物组织中的宏量和微量营养素来评估作物产量。基于已编目的数据应用DRIS和CND方法,然后生成规范,分析产量与养分之间的关系(通过数据的累积函数选择高产作物),生成充足范围,并比较方法。DRIS和CND指标与产量和营养成分的关系显著,表明两种方法均可用于大豆叶片营养成分的评价。DRIS和CND方法的充足范围与文献中提出的常量营养素(氮除外)的值相比具有优越的营养范围,而微量营养素的范围幅度更大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Acta Scientiarum. Agronomy.
Acta Scientiarum. Agronomy. Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
2.40
自引率
0.00%
发文量
45
审稿时长
>12 weeks
期刊介绍: The journal publishes original articles in all areas of Agronomy, including soil sciences, agricultural entomology, soil fertility and manuring, soil physics, physiology of cultivated plants, phytopathology, phyto-health, phytotechny, genesis, morphology and soil classification, management and conservation of soil, integrated management of plant pests, vegetal improvement, agricultural microbiology, agricultural parasitology, production and processing of seeds.
期刊最新文献
A novel fuzzy approach to identify the phenotypic adaptability of common bean lines Genetic improvement of black oats: a scientometric review New evidence for in vitro conservation of nodal segments of the passion fruit ‘UENF Rio Dourado’ (Passiflora edulis Sims) Morphophysiological changes in black pepper under different water supplies Bacillus amyloliquefaciens PKM16 acts as an antagonist of white mold and an inducer of defense enzymes in tomato plants
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1