Field-specific potassium and phosphorus balances and fertilizer requirements for irrigated rice-based cropping systems

被引:118
作者
Buresh, Roland J. [1 ]
Pampolino, Mirasol F. [2 ]
Witt, Christian [2 ]
机构
[1] IRRI, Manila, Philippines
[2] IPNI, SE Asia Program, George Town 10670, Malaysia
关键词
Field-specific nutrient management; Nutrient balance; SSNM; Rice; Wheat; Maize; INTERNAL NUTRIENT EFFICIENCIES; LOWLAND RICE; QUANTITATIVE-EVALUATION; WATER MANAGEMENT; WHEAT; AVAILABILITY; YIELD;
D O I
10.1007/s11104-010-0441-z
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Fertilizer K and P requirements for rice (Oryza sativa L.) can be determined with site-specific nutrient management (SSNM) using estimated target yield, nutrient balances, and yield gains from added nutrient. We used the QUEFTS (QUantitative Evaluation of the Fertility of Tropical Soils) model with > 8000 plot-level observations to estimate the relationship between grain yield and nutrient accumulation in above-ground dry matter of irrigated rice with harvest index a parts per thousand yenaEuro parts per thousand 0.4. Predicted reciprocal internal efficiencies (RIEs) at 60-70% of yield potential corresponded to plant accumulation of 14.6 kg N, 2.7 kg P, and 15.9 kg K per tonne of grain yield. These RIEs enable determination of plant requirements for K and P and net output of K and P in harvested grain and removed crop residues at a target yield. Yield gains for nutrient applied to irrigated rice averaged 12% for K and 9% for P for 525 to 531 observations. For fields without certain yield gain, fertilizer K and P requirements can be determined by a partial maintenance approach (i.e., fertilizer input < output in nutrient balance), which considers nutrient supply mediated through soil processes and balances trade-offs between financial loss with full maintenance rates and risk of excessive nutrient depletion without nutrient application. When yield gains to an added nutrient are certain, partial maintenance plus yield gain can be used to determine fertilizer requirements. The SSNM-based approach and algorithms enable rapid development of field-specific K and P management.
引用
收藏
页码:35 / 64
页数:30
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