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Insufficient and excessive N fertilizer input reduces maize root mass across soil types

肥料 农学 开枪 土壤质地 淤泥 数学 产量(工程) 野外试验 生物量(生态学) 环境科学 氮气 土壤水分 园艺 生物 化学 土壤科学 材料科学 古生物学 有机化学 冶金
作者
Raziel A. Ordóñez,Michael J. Castellano,Gerasimos N. Danalatos,Emily E. Wright,Jerry L. Hatfield,C. Lee Burras,Sotirios V. Archontoulis
出处
期刊:Field Crops Research [Elsevier BV]
卷期号:267: 108142-108142 被引量:39
标识
DOI:10.1016/j.fcr.2021.108142
摘要

Abstract Quantifying maize root response to nitrogen (N) fertilizer, soil texture, and weather is crucial to understand complex soil-root-plant processes. We performed a 2-year x 4 locations (sand content range: 5–95%) x N treatments (range: 0 to 336 kg N ha−1) field experiment in Iowa, U.S. to (1) determine the response of root traits to N fertilizer, and (2) develop generalized functions to aid understanding and prediction of root mass and root to shoot (R:S) ratio. Deep root samples (0−210 cm, increments of 30 cm) were collected using the soil core approach at early to middle grain fill period and quantified root mass, length, and N and C concentrations. In addition, yield and shoot biomass was measured. Root traits and yield had different responses to N fertilizer input. Root mass was maximized at 168 kg N ha−1; zero and excessive N fertilization decreased root mass by 33 and 17 %, respectively. Nitrogen fertilizer significantly affected root traits only in the top 30 cm soil layer. Soil texture affected root traits in a dry year (root mass was positively associated with silt and clay), but not in a wet year, suggesting that soil moisture overwhelms the effect of texture. The combined data (N rates x locations x years) revealed a negative relationship between R:S ratio and yield. This resulted in a new set of equations (e.g., upper bound R:S = e(–1.5 – 0.04*yield)) that can replace the constant R:S approach used in the literature. Yield, which is commonly measured, integrates the effects of environment, management, and genetic variation; hence the proposed equations can be widely applied. This study provides evidence that different plant traits are maximized at different levels of mineral N nutrition. Results can enhance biophysical models and prediction of R:S ratio.

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