Scientia Agricultura Sinica ›› 2026, Vol. 59 ›› Issue (15): 3302-3314.doi: 10.3864/j.issn.0578-1752.2026.15.005

• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY·AGRICULTURE INFORMATION TECHNOLOGY • Previous Articles     Next Articles

Response of Dry Matter Accumulation and Yield Stability in Intercropped Maize to Biochar Application Under Nitrogen Reduction

WANG XiaoLi(), FAN ZhiLong(), NAN YunYou, CHEN GuiPing, JIANG LongXiu, YIN Wen, HU FaLong, CHAI Qiang()   

  1. Agronomy College, Gansu Agricultural University/State Key Laboratory of Aridland Crop Science, Lanzhou 730070
  • Received:2025-12-30 Accepted:2026-04-10 Online:2026-08-01 Published:2026-08-03
  • Contact: CHAI Qiang

Abstract:

【Objective】In the arid irrigated areas of northwest China, monoculture cropping systems, high dependence on nitrogen fertilizer, and inadequate farmland protection have led to degraded soil quality and reduced farmland productivity, severely constraining crop yield improvement and sustainable production. This study integrated intercropping with leguminous crop, nitrogen reduction, and biochar application to investigate their synergistic effects on maize dry matter accumulation and distribution characteristics, maize yield, and yield stability, aiming to provide a theoretical basis and technical support for establishing a green and efficient sustainable maize production model in this region.【Method】The experiment was conducted from 2022 to 2024 at the Oasis Agriculture Comprehensive Experimental Station of Gansu Agricultural University. A split-split-plot field experiment was employed, with the main plots assigned to cropping patterns (maize ǁ fresh-edible pea, IM; sole maize, SM), the subplots to nitrogen application levels (conventional rate N1, 360 kg·hm-2; reduced nitrogen by 30% N2, 250 kg·hm-2), and the sub-subplots to biochar treatments (application, C, 15 t·hm-2; no application, B). Indicators including maize dry matter accumulation and distribution, grain yield, and yield stability were systematically measured.【Result】Compared with monocropping, the intercropping pattern significantly increased maize grain yield, dry matter accumulation, and yield stability. Reducing nitrogen by 30% significantly decreased maize dry matter accumulation, maximum growth rate, ear dry matter allocation ratio, and grain yield, but biochar application effectively mitigated these negative effects. Biochar increased the maximum aboveground dry matter growth rate by 6.7%-33.7% for maize ǁ fresh-edible pea and by 9.4%-24.1% for sole maize, respectively. Under intercropping conditions, the treatment with 30% nitrogen reduction combined with biochar application (IMN2C) showed no significant differences in grain yield, dry matter accumulation dynamics, and yield stability compared to the full nitrogen rate treatment (IMN1C) and was significantly superior to other treatment combinations, and compared to the conventional nitrogen application without biochar in monocropped maize (SMN1B), this treatment increased grain yield by 17.0%-19.2%. The underlying mechanism primarily involved biochar promoting maize root growth by increasing soil organic carbon and total nitrogen content, optimizing the root-to-shoot ratio, thereby ensuring efficient dry matter accumulation throughout the entire growth period. Particularly during the critical grain-filling stage, it maintained a high growth rate and promoted the preferential allocation of dry matter to the ears.【Conclusion】In the arid irrigated areas of northwest China, the integration of maize fresh-edible pea intercropping and biochar application, along with a 30% reduction in nitrogen fertilizer input, can effectively maintain maize yield and yield stability by improving soil fertility, promoting root development, and optimizing dry matter partitioning. This approach represents a feasible agronomic strategy for achieving synergistic reduction of chemical nitrogen fertilizer use and stable maize production in the region.

Key words: intercropped maize, nitrogen reduction, biochar, yield, yield stability

Fig. 1

Variation of daily precipitation and daily mean temperature during crop growth period in the experimental area from 2022 to 2024"

Table 1

Experimental treatments and nitrogen application regimes"

种植模式
Planting model
施氮水平
Nitrogen application level
生物炭处理
Biochar treatment
代码
Code
基肥
Base fertilizer (kg·hm-2
追肥
N fertilizer topdressing (kg·hm-2)
总施氮量
Total fertilizer (kg·hm-2)
大喇叭口期
Big trumpet stage
吐丝期Silking stage
单作玉米
Monoculture maize (SM)
地方传统施氮
Local conventional nitrogen application
(N1)
不施生物炭
No biochar application (B)
SMN1B 108 180 72 360
施用生物炭
Biochar application (C)
SMN1C 108 180 72 360
减氮30%
Reduction 30% application rate
(N2)
不施生物炭
No biochar application (B)
SMN2B 75 125 50 250
施用生物炭
Biochar application (C)
SMN2C 75 125 50 250
玉米间作鲜食豌豆
Maize intercropped with fresh pea (IM)
地方传统施氮
Local conventional nitrogen application (N1)
不施生物炭
No biochar application (B)
IMN1B 108 180 72 360
施用生物炭
Biochar application (C)
IMN1C 108 180 72 360
减氮30%
Reduction 30% application rate
(N2)
不施生物炭
No biochar application (B)
IMN2B 75 125 50 250
施用生物炭
Biochar application (C)
IMN2C 75 125 50 250

Fig. 2

Schematic diagram of the field experimental layout"

Fig. 3

Dynamic changes in the accumulation of dry matter in maize under different treatments IM and SM represent maize intercropped with fresh pea and sole maize, respectively; N1 and N2 denote the locally recommended nitrogen application rate (360 kg·hm-2) and a 30% reduction in nitrogen fertilizer (250 kg·hm-2), respectively; P, N, C and B respectively represent planting patterns, nitrogen application levels, biochar application and no biochar application, respectively. ** and * indicate significant difference in P< 0.01 and P< 0.05 levels, respectively. Error bars represent the standard error (n=3). The same as below"

Table 2

Regression analysis of the Logistic equation for the accumulation of dry matter in the aboveground parts of maize under different treatments"

年份 Year 处理 Treatment 回归方程 Regression equation R2 t50 (d) Vmax (kg·hm-2·d-1) Vmean (kg·hm-2·d-1)
2022 SMN1B Y=27060/(1+e6.244-0.075t) 0.999 83.3c 507.4c 182.2d
SMN2B Y=23942/(1+e6.143-0.073t ) 0.999 84.2b 434.4e 160.4f
SMN1C Y=30159/(1+e6.169-0.074t) 0.999 83.4c 555.0ab 201.8b
SMN2C Y=28817/(1+e6.304-0.075t) 0.999 84.1b 539.1c 192.9c
IMN1B Y=29684/(1+e6.296-0.074t) 0.999 85.1a 547.9b 198.7b
IMN2B Y=25486/(1+e6.214-0.074t) 0.999 84.0b 469.1d 170.7e
IMN1C Y=32086/(1+e6.157-0.073t) 0.999 84.3b 584.6a 214.8a
IMN2C Y=30846/(1+e6.152-0.072t) 0.999 85.4a 555.9a 206.4a
2023 SMN1B Y=23824/(1+e5.927-0.070t) 0.998 84.7b 494.2d 189.4d
SMN2B Y=25943/(1+e5.881-0.068t) 0.999 86.5a 441.0e 173.2e
SMN1C Y=33364/(1+e6.328-0.074t) 0.999 85.5ab 613.2b 223.1b
SMN2C Y=29848/(1+e6.013-0.070t) 0.999 85.9ab 522.3c 199.9c
IMN1B Y=32042/(1+e6.180-0.072t) 0.999 85.8ab 575.0c 214.6c
IMN2B Y=27075/(1+e5.854-0.069t) 0.998 84.8b 467cd 181.2d
IMN1C Y=34424/(1+e6.106-0.072t) 0.999 84.8b 618.3a 230.5a
IMN2C Y=33144/(1+e6.254-0.074t) 0.998 84.5b 617.2a 224.6b
2024 SMN1B Y=28239/(1+e5.947-0.070t) 0.998 85.0ab 494.2e 189.4b
SMN2B Y=25948/(1+e5.833-0.068t) 0.999 85.8a 441.1f 173.2c
SMN1C Y=33294/(1+e6.593-0.077t) 0.998 85.6a 609.4b 224.6a
SMN2C Y=29998/(1+e6.142-0.072t) 0.999 85.3ab 540.0d 202.1b
IMN1B Y=31950/(1+e6.223-0.073t) 0.998 85.2ab 583.1c 214.7b
IMN2B Y=27079/(1+e5.886-0.069t) 0.999 85.3ab 467.1f 181.0c
IMN1C Y=34222/(1+e6.171-0.073t) 0.998 84.5c 640.9a 230.1a
IMN2C Y=33392/(1+e6.191-0.073t) 0.998 84.8b 624.6a 225.5a

Fig. 4

Dry matter accumulation distribution ratio, root biomass, and root-to-shoot ratio of maize under different treatments"

Fig. 5

Maize grain yield under different treatments"

Fig. 6

The stability of maize yield under different treatments"

Fig. 7

Soil organic carbon and total nitrogen content in maize field at flowering stage under different treatments"

Fig. 8

The relationships between maize yield, yield stability, and various influencing factors A: Mantel test; Figure B: Random forest model for grain yield and yield stability. GY, YS, DMA, RB, R/S, TN, SOC, Vmean, Vmax, and Ear-DMA represent grain yield, yield stability, dry matter accumulation, root biomass, root-to-shoot ratio, soil total nitrogen, soil organic carbon, mean dry matter growth rate, maximum mean dry matter growth rate, and proportion of dry matter allocated to the ear, respectively. ns indicates no significance"

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