亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Modelling the impacts of inhibitors and fertilizer placement on maize yield and ammonia, nitrous oxide and nitrate leaching losses in southwestern Ontario, Canada

一氧化二氮 浸出(土壤学) 尿素氨挥发 尿素 尿素酶 肥料 硝化作用 环境科学 硝酸盐 农学 氮气 反硝化 动物科学 环境化学 化学 生物化学 土壤科学 土壤水分 生物 有机化学
作者
Rong Jiang,Jingyi Yang,C. F. Drury,Brian Grant,Ward Smith,Wentian He,Daniel W. Reynolds,Ping He
出处
期刊:Journal of Cleaner Production [Elsevier]
卷期号:384: 135511-135511 被引量:12
标识
DOI:10.1016/j.jclepro.2022.135511
摘要

Application of urease and nitrification inhibitors is an effective strategy for decreasing nitrogen (N) losses without negatively impacting yields, but the long-term impacts of inhibitors and N placement on N dynamics remains unclear. The objectives of this study were to 1) use a 3-year maize experiment in southwestern Ontario to evaluate the Denitrification-DeComposition (DNDC) model fitted with default and enhanced urea hydrolysis mechanisms, 2) determine the impacts of climate variability (30-year) on inhibitor performance on maize yield and N losses under a range of N treatments, and 3) estimate the optimal N application rates for maintaining high yield and minimizing N losses. The experiment treatments included a factorial arrangement of two N sources (urea, urea ammonium nitrate [UAN]), three N placement methods (broadcast urea [B-Urea], broadcast incorporated urea [BInc-Urea], injected UAN [Inj-UAN]), and three inhibitors (no inhibitor, urease inhibitor [UI], urease plus nitrification inhibitor [UI&NI]). Although both the default and improved model provided "fair" to "good" simulations of maize yield, N uptake, soil temperature, soil moisture, soil inorganic N content and nitrous oxide (N2O) emissions across treatments, more accurate simulations were obtained using the improved model. The default DNDC model indicated "poor" simulations of ammonia (NH3) volatilization according to the Nash-Sutcliffe efficiency (NSE <0) and index of agreement (d ≤ 0.38), whereas the improved DNDC produced "good" simulations (NSE = 0.22–0.39, d = 0.65–0.84) because of improved estimates of urea diffusion, hydrolysis and inhibitor efficiency. The 30-year simulation based upon 95% of the maximum yield resulted in annual NH3 losses of 35.4 kg N ha−1 for B-Urea and these losses were reduced by 40.1% with BInc-Urea and by 92.7% with Inj-UAN. When UI was added to either B-Urea or BInc-Urea, NH3 losses were reduced by 61.8–66.4%, whereas when UI&NI was added, losses were reduced by 41.0–49.4%. The Inj-UAN reduced annual N2O losses by 18.8% compared to B-Urea whereas two inhibitor treatments of B-Urea + UI&NI and BInc-Urea + UI&NI reduced N2O losses by 11.5–11.8% compared to B-Urea and BInc-Urea. Simulated annual N losses from Inj-UAN + UI&NI were reduced relative to Inj-UAN + UI because of decreased NO3− leaching. Simulated long-term average percentage of annual total N losses at the optimal N rate were 36.8, 30.8 and 22.0% from B-Urea, BInc-Urea and Inj-UAN, respectively, which reduced to 25.9–28.1, 24.9–25.5 and 21.2–21.9%, when inhibitors were added. Our study suggests that the DNDC model can be used to investigate the impacts of climate variability on inhibitor performance and determine the optimum range of N application rates for different inhibitor treatments.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
3秒前
10秒前
21秒前
tiantian完成签到 ,获得积分10
23秒前
顾矜应助zzb采纳,获得10
24秒前
28秒前
zzb完成签到,获得积分10
32秒前
34秒前
zzb发布了新的文献求助10
34秒前
42秒前
44秒前
默己完成签到 ,获得积分10
48秒前
小张真的困啦完成签到,获得积分10
55秒前
null应助小张真的困啦采纳,获得10
59秒前
59秒前
1分钟前
1分钟前
皮皮发布了新的文献求助10
1分钟前
小二郎应助顾绯采纳,获得10
1分钟前
1分钟前
1分钟前
Ava应助皮皮采纳,获得10
1分钟前
1分钟前
1分钟前
Tingshuo发布了新的文献求助10
1分钟前
1分钟前
1分钟前
Tingshuo完成签到,获得积分10
1分钟前
皮皮完成签到,获得积分10
2分钟前
2分钟前
2分钟前
2分钟前
顾绯发布了新的文献求助10
2分钟前
2分钟前
2分钟前
Ariel完成签到 ,获得积分10
2分钟前
3分钟前
3分钟前
合适的如天完成签到,获得积分10
3分钟前
科研通AI2S应助科研通管家采纳,获得10
3分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Basic And Clinical Science Course 2025-2026 3000
《药学类医疗服务价格项目立项指南(征求意见稿)》 880
花の香りの秘密―遺伝子情報から機能性まで 800
Stop Talking About Wellbeing: A Pragmatic Approach to Teacher Workload 500
Terminologia Embryologica 500
Silicon in Organic, Organometallic, and Polymer Chemistry 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5617095
求助须知:如何正确求助?哪些是违规求助? 4701461
关于积分的说明 14913668
捐赠科研通 4748953
什么是DOI,文献DOI怎么找? 2549283
邀请新用户注册赠送积分活动 1512335
关于科研通互助平台的介绍 1474091