Effects of fertilizers and soil amendments on the degradation rate of allyl isothiocyanate in two typical soils of China
文献类型: 外文期刊
作者: Zhang Y.; Liu J.; Cao A.; Tang X.; Chen X.; Fang W.; Li Y.; Yan D.; Wang Q.
作者机构:
关键词: allyl isothiocyanate; inorganic and organic fertilizers; soil amendment; biochar; degradation rate
期刊名称: Pest Management Science
ISSN: 1526-498X
年卷期: 2022 年
页码:
收录情况: SCIE(2022版)
摘要: Background: Allyl isothiocyanate (AITC) is a soil fumigant that protects plants against soil-borne pathogens, weeds and insects when present in the root-zone. However, the degradation of AITC under different fertilizers and soil amendments affects its emission and pest control efficacy. Degradation rates of AITC in soil amended with organic and inorganic fertilizers, zeolite and biochar were determined in the laboratory to improve its field applications. Results: The degradation half-lives of AITC were 24.4 and 35.4 h in Fangshan and Yongzhou soils, respectively, without any added fertilizer or soil amendment. Nitrogen fertilizer and organic fertilizer accelerated the degradation rate of AITC, while phosphorus fertilizer had the opposite effect. The degradation rate of AITC on adding unsterilized chicken manure was over 3.5 and 1.1 times higher than that of sterilization in Fangshan and Yongzhou soil. Inorganic and organic fertilizers affected the degradation of AITC by affecting soil microbial activity on the basis of CO2 cumulative release. The degradation rate of AITC increased more than 0.4 times in response to zeolite, but this was independent of particle size. The AITC degradation rate increased 1.0–2.6 and 0.3–9.7 times in response to biochar made from corn stalk and pine wood, respectively. Cow manure biochar manufactured at different pyrolyzation temperatures had different effects on the degradation rate of AITC. Conclusion: Soil type, fertilizers and soil amendments differentially affect the degradation rate of AITC by changing soil physicochemical characteristics, microorganisms, etc., which shows great potential in reducing AITC emissions and increasing pest control efficacy when AITC is applied commercially. © 2022 Society of Chemical Industry. © 2022 Society of Chemical Industry.
分类号:
- 相关文献
作者其他论文 更多>>
-
Pan-genome and phylogenomic analyses highlight Hevea species delineation and rubber trait evolution
作者:Fang Y.;Xiao X.;Lin J.;Lin Q.;Wang J.;Liu K.;Li Z.;Xing J.;Liu Z.;Wang B.;Qi Y.;Long X.;Zeng X.;Hu Y.;Qi J.;Qin Y.;Yang J.;Zhang Y.;Zhang S.;Ye D.;Zhang J.;Liu J.;Tang C.
关键词:
-
GhLCYε-3 characterized as a lycopene cyclase gene responding to drought stress in cotton
作者:Ni K.;Lu X.;Li S.;Li F.;Zhang Y.;Cui R.;Fan Y.;Huang H.;Chen X.;Wang J.;Wang S.;Guo L.;Zhao L.;He Y.;Ye W.
关键词:Carotenoids;Cotton;Functional verification;Lutein;Lycopene cyclase;Reactive oxygen species (ROS)
-
Effect of pre-slaughter fasting time on carcass yield, blood parameters and meat quality in broilers
作者:Wu X.;Zhou Y.;Lu Z.;Zhang Y.;Zhang T.
关键词:Broilers;Carcass Yield;Fasting;Glucose Metabolism;Meat Quality
-
Tembusu virus induced apoptosis in vacuolate spermatogenic cells is mediated by Cytc-mediated mitochondrial apoptotic signaling pathway
作者:Huang Y.;Zhang Y.;Yang S.;Shi Y.;Chu X.;Ahmed N.;Wu J.;Chen Q.
关键词:Apoptosis;Cytochrome c;Duck tembusu virus;Spermatogenic cells;Testis
-
Yield, nutritional and flavor quality of Chinese cabbage under different rates of chicken manure substituted for chemical fertilizer
作者:Zhang Y.;Tang S.;Jin Q.;Gao W.;Li Y.-L.;Huang S.W.;Wang H.
关键词:Chicken manure;Chinese cabbage;Mineral elements;Nutritional and flavor quality;Volatiles
-
Automatic semantic modeling of structured data sources with cross-modal retrieval
作者:Xu R.;Mayer W.;Chu H.;Zhang Y.;Zhang H.-Y.;Wang Y.;Liu Y.;Feng Z.
关键词:Attention mechanism;Cross-modal retrieval;Graph representation learning;Ontology;Semantic model
-
An efficient artificial intelligence algorithm for predicting the sensory quality of green and black teas based on the key chemical indices
作者:Lu L.;Wang L.;Liu R.;Zhang Y.;Zheng X.;Lu J.;Wang X.;Ye J.
关键词:Black tea;Chemical index;Green tea;Modelling, artificial intelligence algorithm;Tea sensory quality