Universidade Estadual Paulista, Faculdade de Ciências Agrárias e Veterinárias, Campus Jaboticabal, Via de Acesso Professor Paulo Donato Castelane, S/N-Vila Industrial, Jaboticabal, São Paulo, 14884-900, Brasil.
Empresa Brasileira de Pesquisa Agropecuária, Embrapa-Rondônia, Rodovia BR 364 Km 5,5, Porto Velho, Rondônia, 76815-800, Brasil.
Sci Rep. 2023 Feb 9;13(1):2281. doi: 10.1038/s41598-022-26263-2.
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) 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.
硼是大豆产量的最主要限制微量元素，因此，准确识别其营养状况对于适当的施肥管理和最大限度地提高大豆产量潜力非常重要。目前，使用 CND 和 DRIS 等工具来解释硼的营养状况；然而，它们的效果并不被认为能够真正识别硼的营养状况。在这项研究中，我们调查了这些方法识别 140 种商业大豆作物硼营养状况的效果，以获得 DRIS 和 CND 方法的营养标准。此外，还安装了硼剂量校准实验（0、300、600、1200 和 1800 g ha），以使用 PDA 评估营养诊断的质量。实验方法测试了 NRr 的 0.25、0.50 和 1.00 的限制以及 YR 的 1%、5%或 10%的值。DRIS 方法更有效，平均而言，与 CND 相比，其变化使产量提高了 27%，当采用 NRr=1.00 且 YR 为 10%时，DRIS 的性能最佳。本研究强调了需要可靠和准确的诊断方法，这对提高硼施肥计划和作物产量具有全球意义，从而提高作物可持续性。
