Critical Nitrogen Dilution Curves for Nitrogen Management in Potato (Solanum tuberosum L.): A Minireview

IF 1.2 4区 农林科学 Q3 AGRONOMY
Koffi Djaman, Komlan Koudahe, Samuel Essah, Umesh K. Shanwad
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引用次数: 0

Abstract

Potato (Solanum tuberosum L.) is one of the crops worldwide produced under different climatic and cropping systems conditions. With the multitude of cultivars and variable relative maturity, numerous studies have shown that nitrogen management in potatoes is a key to tuber yield and quality. Most potato growers tend to apply high amounts of nitrogen fertilizer while yield is not always consistent with the applied nitrogen fertilizer rates. Thus, potato cropping system specialists have been developing critical nitrogen dilution curves across different environments and for different potato cultivars with quite large variability in the equations. This review aims to inventory the developed critical nitrogen dilution curves for potatoes worldwide and analysis the discrepancies. A literature search was performed using online search engines for 6 months using keywords such as nitrogen dilution curve, critical nitrogen dilution curves of potatoes. Published results collection was done for the well-known peer reviewed journals. The critical N concentration (Nc) is defined as the minimum nitrogen concentration for achieving maximum aboveground biomass at any time during the crop growing season and it is represented by an allometric function, i.e. Nc = aW−b where W is the total shoot biomass [Mg dry matter (DM) in ha −1], Nc is the total N concentration in shoot (g kg −1 DM), and a and b are estimated parameters. The parameter “a” of all monitored critical nitrogen dilution curves falls within the range [1.5, 7] of which 50% of the parameter “a” falls within the range of [5, 5.5] and the parameter “b” falls within the range [0.15, 0.60] with a large variation. The parameters “a” and “b” are impacted by the potato genotype, environment, and the management practices. Moreover, the estimation procedures of the parameters “a” and “b” were different and impacted the magnitude of these parameters. Based on some recent studies, we recommend the use of the Bayesian hierarchical method or the pooled Bayesian hierarchical method to develop a unique critical nitrogen dilution curve for potatoes that includes several genotypes, environment, and management practices for nitrogen fertilizer application rate optimization, system profitability and sustainability while reducing soil and water pollution by the nitrate leaching due to over fertilization and inappropriate split and timing of the nitrogen fertilizer application.

马铃薯(Solanum tuberosum L.)氮素管理的临界氮稀释曲线综述
马铃薯(Solanum tuberosum L.)是世界上在不同气候和种植制度条件下生产的作物之一。由于马铃薯品种众多,相对成熟度多变,大量研究表明,马铃薯氮素管理是马铃薯产量和品质的关键。大多数马铃薯种植者倾向于施用大量氮肥,而产量并不总是与施用氮肥量一致。因此,马铃薯种植系统专家一直在开发不同环境和不同马铃薯品种的临界氮稀释曲线,其方程具有很大的变异性。本文综述了国内外已开发的马铃薯临界氮稀释曲线,并对其差异进行了分析。在网络搜索引擎上以氮稀释曲线、马铃薯临界氮稀释曲线等关键词进行为期6个月的文献检索。发表的结果收集是为知名的同行评议期刊完成的。临界氮浓度(Nc)定义为作物生长季节任意时刻达到最大地上生物量所需的最小氮浓度,用异速生长函数表示,即Nc = aW−b,其中W为茎部总生物量[Mg干物质(DM), ha−1],Nc为茎部总氮浓度(g kg−1 DM), a和b为估计参数。所有监测到的临界氮稀释曲线参数a均落在[1.5,7]范围内,其中参数a有50%落在[5,5.5]范围内,参数b落在[0.15,0.60]范围内,且变化较大。参数“a”和“b”受马铃薯基因型、环境和管理措施的影响。此外,参数“a”和“b”的估计过程不同,影响了这些参数的大小。基于最近的一些研究,我们建议使用贝叶斯分层方法或混合贝叶斯分层方法来建立一个独特的马铃薯临界氮稀释曲线,该曲线包括多个基因型、环境和管理实践,以优化氮肥施用量。系统的盈利能力和可持续性,同时减少由于过度施肥和不适当的氮肥分配和施肥时间造成的硝酸盐淋滤对土壤和水污染。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
American Journal of Potato Research
American Journal of Potato Research 农林科学-农艺学
CiteScore
3.40
自引率
6.70%
发文量
33
审稿时长
18-36 weeks
期刊介绍: The American Journal of Potato Research (AJPR), the journal of the Potato Association of America (PAA), publishes reports of basic and applied research on the potato, Solanum spp. It presents authoritative coverage of new scientific developments in potato science, including biotechnology, breeding and genetics, crop management, disease and pest research, economics and marketing, nutrition, physiology, and post-harvest handling and quality. Recognized internationally by contributors and readership, it promotes the exchange of information on all aspects of this fast-evolving global industry.
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