Optimizing nitrogen management to enhance irrigated sugar beet yield and quality

IF 2 3区 农林科学 Q2 AGRONOMY
Deepak Ghimire, Bijesh Maharjan
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Abstract

Sugar beet (Beta vulgaris L.) accounts for 55% of the total sugar production in the United States. Optimizing fertilizer nitrogen (N) management is pivotal for its economical and sustainable production and is challenging. Three-year field experiments (2020–2022) were conducted in western Nebraska to evaluate the effects of fertilizer N rates on beet root yield, sugar concentration, sugar loss to molasses (SLM), estimated recoverable sugar (ERS), and nitrogen use efficiency (NUE). Treatments included 0%, 50%, 80%, 100%, and 125% of recommended N based on the current University of Nebraska-Lincoln recommendation. Fertilizer application increased the root yield, ERS, and SLM but decreased sugar concentration in most cases compared to the control treatment. Beet NUE decreased with increasing total available N. Linear-plateau regression models fitted to root yield and ERS response curves showed that the agronomic optimum N rates (AONRs) were 179 and 166 kg N ha−1 for root yield of 68.86 Mg ha−1 and ERS of 11.95 Mg ha−1, respectively. The findings showed that the root yield-based model required 35% less N rate than the current UNL beet N algorithm, and the ERS-based model required 13 kg N ha−1 less N rate than the root yield-based model. Because of the trade-off effect of total available N on root yield and quality, the ERS-based N recommendation can be a potential strategy to optimize N management for economic and environmentally sustainable sugar beet production.

Abstract Image

优化氮肥管理,提高灌溉甜菜的产量和质量
甜菜(Beta vulgaris L.)占美国蔗糖总产量的 55%。优化肥料氮(N)管理对其经济和可持续生产至关重要,但也具有挑战性。在内布拉斯加州西部进行了为期三年(2020-2022 年)的田间试验,以评估肥料氮率对甜菜根产量、糖浓度、糖蜜损失(SLM)、估计可收回糖(ERS)和氮利用效率(NUE)的影响。根据目前内布拉斯加大学林肯分校的建议,处理包括 0%、50%、80%、100% 和 125% 的建议氮量。与对照处理相比,施肥增加了根产量、ERS 和 SLM,但在大多数情况下降低了糖浓度。根产量和ERS响应曲线的线性高原回归模型显示,根产量为 68.86 兆克/公顷-1,ERS 为 11.95 兆克/公顷-1 时,农艺最佳氮肥施用量(AONRs)分别为 179 千克/公顷-1 和 166 千克/公顷-1。研究结果表明,与当前的 UNL 甜菜氮素算法相比,基于根产量的模型所需的氮素用量减少了 35%,而基于 ERS 的模型所需的氮素用量比基于根产量的模型少 13 千克/公顷。由于可用氮总量对根系产量和质量的权衡效应,基于ERS的氮推荐可作为优化氮管理的潜在策略,以实现经济和环境可持续的甜菜生产。
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来源期刊
Agronomy Journal
Agronomy Journal 农林科学-农艺学
CiteScore
4.70
自引率
9.50%
发文量
265
审稿时长
4.8 months
期刊介绍: After critical review and approval by the editorial board, AJ publishes articles reporting research findings in soil–plant relationships; crop science; soil science; biometry; crop, soil, pasture, and range management; crop, forage, and pasture production and utilization; turfgrass; agroclimatology; agronomic models; integrated pest management; integrated agricultural systems; and various aspects of entomology, weed science, animal science, plant pathology, and agricultural economics as applied to production agriculture. Notes are published about apparatus, observations, and experimental techniques. Observations usually are limited to studies and reports of unrepeatable phenomena or other unique circumstances. Review and interpretation papers are also published, subject to standard review. Contributions to the Forum section deal with current agronomic issues and questions in brief, thought-provoking form. Such papers are reviewed by the editor in consultation with the editorial board.
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