Performance of site-specific nutrient management for irrigated rice in southeast China

Citation
Gh. Wang et al., Performance of site-specific nutrient management for irrigated rice in southeast China, AGRON J, 93(4), 2001, pp. 869-878
Citations number
33
Categorie Soggetti
Agriculture/Agronomy
Journal title
AGRONOMY JOURNAL
ISSN journal
00021962 → ACNP
Volume
93
Issue
4
Year of publication
2001
Pages
869 - 878
Database
ISI
SICI code
0002-1962(200107/08)93:4<869:POSNMF>2.0.ZU;2-S
Abstract
Rice (Oryza sativa L.) yield increases in Zhejiang, China have slowed since 1985 despite the increasing use of hybrids and fertilizers. On-farm experi ments at 21 sites were conducted to evaluate a new approach for site-specif ic nutrient management (SSNM), Field- and season-specific N-P-K application s were calculated by ac counting for the indigenous nutrient supply, yield targets, and nutrient demand as a function of the interactions between N, P , and K. Nitrogen applications were fine-tuned based on season-specific rul es and field-specific monitoring of crop N status. The performance of SSNM was tested For Four successive rice crops. Compared with the current farmer s' fertilizer practice (FFP), average grain yield increased from 5.9 to 6.4 Mg ha-L while plant N, P, and K uptake increased by 8 to 14%, The gross re turn over fertilizer cost was about 10% greater with SSNM than with FFP, Yi elds were about 20% greater in late rice (hybrid cultivars) than in early r ice (inbred cultivars), but SSNM performed equally better than FFP in both seasons. Improved timing and splitting of fertilizer N increased N recovery efficiency from 0.18 kg kg(-1) in FFP plots to 0.29 kg kg(-1) in SSNM plot s. The agronomic N use efficiency (grain yield increase per kilogram fertil izer applied) was 80% greater with SSNM than with FFP, As defined in our st udy, SSNM has potential for improving yields and nutrient efficiency in irr igated rice. Future research needs to develop a practical approach for achi eving similar benefits across large areas without field-specific modeling a nd with minimum crop monitoring.