干旱区生态环境知识资源中心(Arid): Modelling long-term yield and soil organic matter dynamics in a maize cropping system

Arid

DOI	10.1007/s10705-022-10229-x
	Modelling long-term yield and soil organic matter dynamics in a maize cropping system
	Maseko, S.; van der Laan, M.; Marais, D.; Swanepoel, C.
通讯作者	Maseko, S
来源期刊	NUTRIENT CYCLING IN AGROECOSYSTEMS
ISSN	1385-1314
EISSN	1573-0867
出版年	2022
卷号	124 期号:3 页码:299-313
英文摘要	Long-term cropping system experiments are one of the most reliable sources of information for informing sustainable agriculture and predicting future trends. When combined with crop modelling, expansion of findings on optimised management approaches is possible. In this study, results from a South African semi-arid region long-term (66 years) maize (Zea mays L.) trial are presented and combined with crop modelling to identify the impacts of fertilisation and residue management on yield and soil organic matter (SOM) levels. Simulated and observed results generally agreed well in calibration and testing exercises with APSIM. For the fertilised treatment, residue retention led to a 41% increase in average yield over the long term, and for unfertilised treatment the average yield increase was even higher at 59%. The greatest SOM decline of 46% was observed for the unfertilised plus residue removal treatment (over 66 years and considering a 60 cm soil depth). Fertilising and retaining residue reduced the SOM decline to 18%. Using only fertiliser without residue retention did not lead to a declining yield trend over the long-term for this soil. The study indicated that the APSIM model can be used to explore the ecological intensification of maize production in sub-Saharan Africa. Further attention is recommended, however, on testing the simulation of subsoil SOM dynamics. The results of this study give insight into soil fertility in low-input maize production systems and quantify the benefits of N fertiliser and residue retention guided by long-term measured data.
英文关键词	Long-term experiment APSIM Soil organic carbon Nitrogen
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000850736500001
WOS关键词	SUGARCANE PRODUCTION ; SOUTH-AFRICA ; NITROGEN ; CARBON ; WATER ; FERTILIZERS ; SIMULATION ; MANAGEMENT ; TILLAGE ; MANURE
WOS类目	Soil Science
WOS研究方向	Agriculture
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393880
推荐引用方式 GB/T 7714	Maseko, S.,van der Laan, M.,Marais, D.,et al. Modelling long-term yield and soil organic matter dynamics in a maize cropping system[J],2022,124(3):299-313.
APA	Maseko, S.,van der Laan, M.,Marais, D.,&Swanepoel, C..(2022).Modelling long-term yield and soil organic matter dynamics in a maize cropping system.NUTRIENT CYCLING IN AGROECOSYSTEMS,124(3),299-313.
MLA	Maseko, S.,et al."Modelling long-term yield and soil organic matter dynamics in a maize cropping system".NUTRIENT CYCLING IN AGROECOSYSTEMS 124.3(2022):299-313.