Scientia Agricultura Sinica ›› 2025, Vol. 58 ›› Issue (20): 4189-4202.doi: 10.3864/j.issn.0578-1752.2025.20.012

• ECOLOGICAL UTILIZATION OF SALINE-ALKALI LAND • Previous Articles     Next Articles

Effects of Fertilization Management on Soil Carbon Fractions and Crop Yield of Post-Wheat Green Manure Rotation in Saline-Alkali Soils

YU Ru1(), LI YuYi1,2, CAO JuFeng3, MA Jun3, CHANG FangDi1, SONG JiaShen1,4, ZHANG HongYuan1,2, LI XiaoBin1,2, LI HaoRuo1, ZHANG Hua5, WANG Jing1,2()   

  1. 1 State Key Laboratory of Efficient Utilization of Arid and Semi-Arid Arable Land in Northern China (Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences), Beijing 100081
    2 National Center of Technology Innovation for Comprehensive Utilization of Saline-Alkali Land, Dongying 257347, Shandong
    3 Bayannur Academy of Agricultural and Animal Husbandry Sciences, Bayannur 015000, Inner Mongolia
    4 Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081
    5 Bayannur Modern Agriculture and Animal Husbandry Development Center, Bayannur 015000, Inner Mongolia
  • Received:2025-06-28 Accepted:2025-09-27 Online:2025-10-16 Published:2025-10-14
  • Contact: WANG Jing

Abstract:

【Objective】This study was conducted to explore the effects of different chemical fertilizer optimization managements on the dynamics of soil organic carbon (SOC) fractions, soil carbon process, and subsequent spring wheat yield in a post-wheat green manure (hairy vetch, Vicia villosa Roth) rotation of saline-alkali soil in the Hetao Irrigation District. The aim was to identify effective fertilizer reduction pathways for synergistically enhancing soil carbon sequestration and productivity. 【Method】Based on a long-term filed experiment established in 2015 in Linhe District, Bayannaoer City, four treatments were set up by randomized block design, including CK (nitrogen, phosphorus and potassium fertilizer), K0G (nitrogen and phosphorus fertilizer), P0G (nitrogen and potassium fertilizer), and N0G (phosphorus and potassium fertilizer). SOC fractions and enzyme activities in 0-20 and 20-40 cm soil layers, and spring wheat yield were measured in 2023, and the soil carbon process index for soil carbon transformation intensity was also calculated. 【Result】(1) Compared with K0G and P0G treatments in 0-20 cm soil layer, N0G treatment (nitrogen fertilizer reduction) significantly reduced soil pH by 0.17 and 0.11 units, while significantly increasing available phosphorus (AP) content by 27.6% and 96.3%, respectively, and available potassium (AK) content by 26.5% and 46.3%, respectively. Compared with P0G, N0G treatment significantly increased AP and AK contents by 192.7% and 18.2% in 20-40 cm soil layer, respectively. (2) Compared with K0G and P0G treatments, N0G treatment significantly enhanced carbon-related enzyme activities in 0-40 cm soil layer: β-glucosidase (27.1% and 53.6%, respectively), xylanase (82.6% and 65.9%, respectively), and cellobiosidase (46.2% and 60.1%, respectively). (3) Compared with K0G and P0G, N0G treatments significantly increased labile organic carbon (LOC) by 25.7% and 26.3%, respectively, and particulate organic carbon (POC) contents by 50.0% and 48.8% in 0-40 cm, respectively. Compared with K0G, N0G significantly increased mineral-associated organic carbon (MAOC) content by 19.2% in 0-20 cm. SOC fractions showed significant positive correlations with soil nutrients and enzyme activities, but significant negative correlations with soil pH. (4) Spring wheat yield under CK, K0G, P0G and N0G treatments were 8.17, 7.76, 7.95 and 7.95 t·hm-2, respectively. There was no significant difference between P0G, N0G and CK, except that K0G significantly reduced the yield by 5.1% compared with CK. Soil enzyme activities were the significant predictors of spring wheat yield. (5) N0G treatment exhibited higher carbon process index in both 0-40 cm layers, significantly exceeding K0G and P0G treatments. Spring wheat yield showed a significant positive correlation with the carbon process index in the 0-20 cm soil layer. 【Conclusion】N0G (multiple cropping of hairy vetch without nitrogen fertilizer after wheat) effectively reduced soil pH, activated carbon cycle-related enzyme activities, promoted organic carbon labile fractions accumulation, and enhanced carbon process index, ultimately increasing spring wheat yield of a wheat-green manure cropping system in the Hetao Irrigation District. Therefore, this approach was a viable fertilizer reduction strategy for harmonizing soil amelioration (pH reduction, C sequestration) with stable crop productivity in saline-alkali soil.

Key words: post-wheat green manure rotation, saline-alkali soil, fertilization management, organic carbon fractions, soil enzyme, yield, Hetao Irrigation District

Table 1

Fertilization rate of experimental plot"

处理
Treatments
基肥 Basic fertilizer (kg·hm-2) 追肥 Additional fertilizer (kg·hm-2)
尿素
Urea
磷酸二铵
Diammonium phosphate
重过磷酸钙
Superphosphates
氯化钾
Potassium chloride
尿素
Urea
CK 85 195 - 80 165
K0G 85 195 - - 165
P0G 85 - - 80 165
N0G - - 195 80 -

Fig. 1

Effects of different treatments on soil physicochemical properties BD: Bulk density; SW: Soil water content; SC: Soil salt content; SOC: Organic carbon; TN: Total nitrogen; AN: Available nitrogen; AP: Available phosphorus; AK: Available potassium. Different lowercase letters indicate significant difference between treatments (P<0.05). * Represents significant difference between different soil layers at P<0.05. The same as below"

Fig. 2

Effects of different treatments on soil carbon fractions LOC: Labile organic carbon; POC: Particulate organic carbon; MAOC: Mineral-associated organic carbon. The same as below"

Fig. 3

Effects of different treatments on enzyme activities BG: β-glucosidase; BX: Xylanase; CE: Cellobiosidase; LAP: Leucine aminopeptidase; NAG: β-1,4-N-Acetyl-glucosaminidase; ALP: Phosphatase. The same as below"

Fig. 4

Redundancy analyses (RDA) and heatmap between soil carbon fractions and soil properties *, ** Represent significantly correlated at P<0.05 and P<0.01, respectively"

Fig. 5

Effects of different treatments on wheat yield and soil C process index"

Fig. 6

Main factors affecting soil C process (a, b) and wheat yield (c, d) by random forest modeling analysis"

Fig. 7

A double hierarchical dendrogram heatmap was used to show the relationship between treatments and soil physicochemical properties, SOC fractions and wheat yield"

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