{"title":"Using the Haney Soil Test to Predict Nitrogen Requirements in Winter Wheat (Triticum aestivum L.)","authors":"Debankur Sanyal, C. Graham","doi":"10.3390/nitrogen3020024","DOIUrl":null,"url":null,"abstract":"Managing nitrogen (N) is one of the of the biggest challenges in achieving environmental and economic sustainability in the agroecosystem. As N fertilizer prices have increased significantly, farmers are considering a revised N recommendation to optimize crop production, while addressing negative environmental impacts of excess N in water bodies. This study analyzes the accuracy of using the Haney Soil Test (HST) to predict the N requirement (HSTNR) of winter wheat (Triticum aestivum L.) in a semi-arid climate. The accuracy of the HST to predict the economically optimum N rate (EONR) was dependent on in-season precipitation. In drought conditions, the HSTNR was 33 kg N ha−1 lower on average than the EONR. Conversely, in wetter years, the HSTNR was 35 kg N ha−1 higher than the EONR. Net return was approximately USD 19 ha−1 lower than that with the EONR under both precipitation scenarios. Similar differences were found for protein content. There was a strong correlation between soil respiration and the soil health calculation, within the HST, and the difference between the net return on yield from the HSTNR and the EONR yield. These indicators may serve as useful metrics for formulating soil health-based N recommendations in winter wheat. However, in drought-prone areas, the HSTNR may significantly underpredict the EONR in many years due to an overestimation of N mineralization.","PeriodicalId":19365,"journal":{"name":"Nitrogen","volume":"428 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nitrogen","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/nitrogen3020024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Managing nitrogen (N) is one of the of the biggest challenges in achieving environmental and economic sustainability in the agroecosystem. As N fertilizer prices have increased significantly, farmers are considering a revised N recommendation to optimize crop production, while addressing negative environmental impacts of excess N in water bodies. This study analyzes the accuracy of using the Haney Soil Test (HST) to predict the N requirement (HSTNR) of winter wheat (Triticum aestivum L.) in a semi-arid climate. The accuracy of the HST to predict the economically optimum N rate (EONR) was dependent on in-season precipitation. In drought conditions, the HSTNR was 33 kg N ha−1 lower on average than the EONR. Conversely, in wetter years, the HSTNR was 35 kg N ha−1 higher than the EONR. Net return was approximately USD 19 ha−1 lower than that with the EONR under both precipitation scenarios. Similar differences were found for protein content. There was a strong correlation between soil respiration and the soil health calculation, within the HST, and the difference between the net return on yield from the HSTNR and the EONR yield. These indicators may serve as useful metrics for formulating soil health-based N recommendations in winter wheat. However, in drought-prone areas, the HSTNR may significantly underpredict the EONR in many years due to an overestimation of N mineralization.
氮管理是实现农业生态系统环境和经济可持续性的最大挑战之一。随着氮肥价格的大幅上涨,农民们正在考虑修订氮肥建议,以优化作物生产,同时解决水体中过量氮对环境的负面影响。本研究分析了利用哈尼土壤试验(HST)预测半干旱气候条件下冬小麦(Triticum aestivum L.)需氮量(HSTNR)的准确性。HST预测经济最佳氮肥速率(EONR)的准确性依赖于季内降水。在干旱条件下,HSTNR比EONR平均低33 kg N ha - 1。相反,在湿润年份,HSTNR比EONR高35 kg N ha−1。两种降水情景下的净收益均比EONR低约19 ha−1。蛋白质含量也存在类似的差异。土壤呼吸与土壤健康计算之间存在较强的相关性,土壤呼吸与土壤健康计算之间存在较强的相关性,土壤呼吸与土壤健康计算之间存在较强的相关性。这些指标可作为制定冬小麦土壤健康氮素建议用量的有用指标。然而,在干旱易发地区,由于对N矿化的高估,HSTNR可能在多年内显著低估了EONR。