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Prescient diagnostic analysis for boron nutritional status in soy crops
Boron is the most limiting micronutrient for soybean yield; therefore, accurate identification of its nutritional status is important for adequate fertilization management and maximize soybean yield potential. Currently, tools for nutritional status interpretation of B, such as the CND and DRIS are...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911779/ https://www.ncbi.nlm.nih.gov/pubmed/36759536 http://dx.doi.org/10.1038/s41598-022-26263-2 |
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author | Traspadini, Edilaine Istéfani Franklin Wadt, Paulo Guilherme Salvador de Mello Prado, Renato Roque, Cassiano Garcia Wassolowski, Carlos Roberto |
author_facet | Traspadini, Edilaine Istéfani Franklin Wadt, Paulo Guilherme Salvador de Mello Prado, Renato Roque, Cassiano Garcia Wassolowski, Carlos Roberto |
author_sort | Traspadini, Edilaine Istéfani Franklin |
collection | PubMed |
description | Boron is the most limiting micronutrient for soybean yield; therefore, accurate identification of its nutritional status is important for adequate fertilization management and maximize soybean yield potential. Currently, tools for nutritional status interpretation of B, such as the CND and DRIS are used; however, their efficacy is not considered to identify the true nutritional status of B. In this research, we investigated the efficacy of these methods to identify the nutritional status of B in 140 commercial soybean crops to obtain nutritional standards for the DRIS and CND methods. In addition, an experiment of B dose calibration (0, 300, 600, 1200 and 1800 g ha(−1)) was installed to assess the quality of nutritional diagnoses using the PDA. The experimental approach tested the limits of 0.25, 0.50, and 1.00 for the NRr and values of 1%, 5%, or 10% for YR. The DRIS method was more effective, and, on average, its variations increased yield by 27% compared to CND, with the best performance of DRIS when NRr = 1.00 was adopted with 10% for YR. This study highlights the need for reliable and accurate diagnostic methods with global implications for crop sustainability by improving the efficacy of B fertilization programs and crop yield. |
format | Online Article Text |
id | pubmed-9911779 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99117792023-02-11 Prescient diagnostic analysis for boron nutritional status in soy crops Traspadini, Edilaine Istéfani Franklin Wadt, Paulo Guilherme Salvador de Mello Prado, Renato Roque, Cassiano Garcia Wassolowski, Carlos Roberto Sci Rep Article Boron is the most limiting micronutrient for soybean yield; therefore, accurate identification of its nutritional status is important for adequate fertilization management and maximize soybean yield potential. Currently, tools for nutritional status interpretation of B, such as the CND and DRIS are used; however, their efficacy is not considered to identify the true nutritional status of B. In this research, we investigated the efficacy of these methods to identify the nutritional status of B in 140 commercial soybean crops to obtain nutritional standards for the DRIS and CND methods. In addition, an experiment of B dose calibration (0, 300, 600, 1200 and 1800 g ha(−1)) was installed to assess the quality of nutritional diagnoses using the PDA. The experimental approach tested the limits of 0.25, 0.50, and 1.00 for the NRr and values of 1%, 5%, or 10% for YR. The DRIS method was more effective, and, on average, its variations increased yield by 27% compared to CND, with the best performance of DRIS when NRr = 1.00 was adopted with 10% for YR. This study highlights the need for reliable and accurate diagnostic methods with global implications for crop sustainability by improving the efficacy of B fertilization programs and crop yield. Nature Publishing Group UK 2023-02-09 /pmc/articles/PMC9911779/ /pubmed/36759536 http://dx.doi.org/10.1038/s41598-022-26263-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Traspadini, Edilaine Istéfani Franklin Wadt, Paulo Guilherme Salvador de Mello Prado, Renato Roque, Cassiano Garcia Wassolowski, Carlos Roberto Prescient diagnostic analysis for boron nutritional status in soy crops |
title | Prescient diagnostic analysis for boron nutritional status in soy crops |
title_full | Prescient diagnostic analysis for boron nutritional status in soy crops |
title_fullStr | Prescient diagnostic analysis for boron nutritional status in soy crops |
title_full_unstemmed | Prescient diagnostic analysis for boron nutritional status in soy crops |
title_short | Prescient diagnostic analysis for boron nutritional status in soy crops |
title_sort | prescient diagnostic analysis for boron nutritional status in soy crops |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9911779/ https://www.ncbi.nlm.nih.gov/pubmed/36759536 http://dx.doi.org/10.1038/s41598-022-26263-2 |
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