Evaluating the potential benefits of field-specific nitrogen management of spring maize in northeast China

Wang, Xingyu; Miao, Yuxin; Dong, Rui; Guan, Ying; Mulla, D. J.

doi:10.3920/978-90-8686-888-9_108

Cited by 2 publications

(5 citation statements)

References 24 publications

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“…Yield analysis confirmed the hypothesis that site-specific fertilization is able to reduce total N application without a loss of yield in the small-to-medium-sized agricultural system investigated in Switzerland being in line with the findings of Stamatiadis et al (2018) and Wang et al (2019). In three out of four cases (F1, F2 and F3), grain yield (6.5-7.5 t ha − 1 ) and protein content (14-15%) were in the range of the Swiss average for top quality wheat varieties (Levy and Brabant 2016;Sinaj and Richner 2017;Hofer 2019).…”

Section: Discussionsupporting

confidence: 85%

“…The partial factor productivity (PFP) was calculated according to Wang et al (2019) as a measure of the relationship between the grain yield in a fertilized plot (Y fert , kg ha − 1 ) and the N applied in that plot (kg N ha − 1 ) in Eq. 6.…”

Section: Evaluation Of N Use Efficiencymentioning

confidence: 99%

“…A simplified measure for the economic income, defined as the marginal return of N fertilization (E, CHF ha − 1 ) was calculated in Eq. 7 according to Wang et al (2019).…”

Section: Evaluation Of N Use Efficiencymentioning

confidence: 99%

“…Minimized or site-specific application of fertilizers in precision agriculture systems has the potential to mitigate leaching problems as well as the emission of greenhouse gases (Walter et al 2017). In fact, it was shown that site-specific fertilization can increase the NUE at field scale (Basso et al 2016;Cohan et al 2018;Raun et al 2002) which was recently confirmed for small to medium scale agriculture systems (Van Loon et al 2018;Wang et al 2019) similar to Swiss agriculture. Therefore, variable rate N fertilization has the potential to improve NUE in small to large-scale agricultural cropping systems (Diacono et al 2013;Ebertseder et al 2003;Ravier et al 2018).…”

Section: Introductionmentioning

confidence: 98%

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Site-specific nitrogen management in winter wheat supported by low-altitude remote sensing and soil data

Argento

Anken

Abt³

et al. 2020

Precision Agric

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Site-specific nitrogen (N) management in precision agriculture is used to improve nitrogen use efficiency (NUE) at the field scale. The objective of this study has been (i) to better understand the relationship between data derived from an unmanned aerial vehicle (UAV) platform and the crop temporal and spatial variability in small fields of about 2 ha, and (ii) to increase knowledge on how such data can support variable application of N fertilizer in winter wheat (Triticum aestivum). Multi-spectral images acquired with a commercially available UAV platform and soil available mineral N content (Nmin) sampled in the field were used to evaluate the in-field variability of the N-status of the crop. A plot-based field experiment was designed to compare uniform standard rate (ST) to variable rate (VR) N application. Non-fertilized (NF) and N-rich (NR) plots were placed as positive and negative N-status references and were used to calculate various indicators related to NUE. The crop was monitored throughout the season to support three split fertilizations. The data of two growing seasons (2017/2018 and 2018/2019) were used to validate the sensitivity of spectral vegetation indices (SVI) suitable for the sensor used in relation to biomass and N-status traits. Grain yield was mostly in the expected range and inconsistently higher in VR compared to ST. In contrast, N fertilizer application was reduced in the VR treatments between 5 and 40% depending on the field heterogeneity. The study showed that the methods used provided a good base to implement variable rate fertilizer application in small to medium scale agricultural systems. In the majority of the case studies, NUE was improved around 10% by redistributing and reducing the amount of N fertilizer applied. However, the prediction of the N-mineralisation in the soil and related N-uptake by the plants remains to be better understood to further optimize in-season N-fertilization.

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Section: Discussionsupporting

confidence: 85%

Section: Evaluation Of N Use Efficiencymentioning

confidence: 99%

“…A simplified measure for the economic income, defined as the marginal return of N fertilization (E, CHF ha − 1 ) was calculated in Eq. 7 according to Wang et al (2019).…”

Section: Evaluation Of N Use Efficiencymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

See 2 more Smart Citations

Site-specific nitrogen management in winter wheat supported by low-altitude remote sensing and soil data

Argento

Anken

Abt³

et al. 2020

Precision Agric

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“…We conducted this study at the Jilin Academy of Agricultural Sciences in Northeast China (43 • 53 N, 124 • 82 E), where 40% [37] of the total maize in the whole country is produced, therefore playing an irreplaceable role in guaranteeing national food security [38]. Jilin experiences a mid-temperate continental monsoon climate with the lowest temperature reaching −30 • C, leaving only around 144 frost-free days throughout the whole year [39].…”

Section: Experimental Site and Designmentioning

confidence: 99%

Revolutionizing Maize Crop Productivity: The Winning Combination of Zigzag Planting and Deep Nitrogen Fertilization for Maximum Yield through Root–Shoot Ratio Management

Zheng

Yang

et al. 2023

Agronomy

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Maize is the staple food of China, produced on 33.6% of the total arable land. In this context, an effective strategy to enhance maize yield is essential to meet the demand without expanding the cultivation areas. Maize yield can be increased by two key measures: plant-row space optimization and nutrient management. However, in traditional maize cultivation practices, fertilizer utilization by plants is inefficient. We therefore performed a manipulative experiment over two years (2018–2019), applying four treatments: (I) linear planting with nitrogen fertilization at 10 cm depth (CK), (II) linear planting with nitrogen fertilization at 20 cm depth (LD20), (III) zigzag planting with nitrogen fertilization at 10 cm depth (ZD10), and (IV) zigzag planting with nitrogen fertilization at 20 cm depth (ZD20). The aim of this study was to examine the influence of deep nitrogen fertilization and zigzag planting alone and in combination with root distribution, soil properties, canopy structures, and maize yield. Our results showed that all improved maize cultivating strategies (LD20, ZD10, and ZD20) increased the root length density up to 10–30 cm depth of soil layers compared to CK. Similarly, deep nitrogen fertilization increased the photosynthesis rate and leaf area duration after the silking stage. The leaf orientation value of the middle and upper canopies increased in zigzag planting compared to linear planting. It also increased the dry matter accumulation of medium leaves, leaf area duration, and dry matter accumulation after the silking stage. The maize yield was highly increased in ZD20 followed by ZD10, LD20, and the least by CK (traditional cultivating practices) in both years. Our study suggests that zigzag planting provides a higher yield than linear planting. Additionally, deep nitrogen fertilization in zigzag planting significantly increases the population resource utilization rate and yield by optimizing the root–canopy structures. Row spacing and nitrogen fertilization were found to be essential to enhance crop yield by influencing root growth and canopy efficiency.

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Evaluating the potential benefits of field-specific nitrogen management of spring maize in northeast China

Cited by 2 publications

References 24 publications

Site-specific nitrogen management in winter wheat supported by low-altitude remote sensing and soil data

Site-specific nitrogen management in winter wheat supported by low-altitude remote sensing and soil data

Revolutionizing Maize Crop Productivity: The Winning Combination of Zigzag Planting and Deep Nitrogen Fertilization for Maximum Yield through Root–Shoot Ratio Management

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