农业资源与环境学报
農業資源與環境學報
농업자원여배경학보
Journal of Agricultural Resources and Environment
2014年
6期
495-499
,共5页
黄治平%米长虹%侯彦林%刘书田%郑宏艳%王农%蔡彦明%王铄今%侯显达
黃治平%米長虹%侯彥林%劉書田%鄭宏豔%王農%蔡彥明%王鑠今%侯顯達
황치평%미장홍%후언림%류서전%정굉염%왕농%채언명%왕삭금%후현체
生态平衡施肥模型%目标产量施肥模型%特征参数
生態平衡施肥模型%目標產量施肥模型%特徵參數
생태평형시비모형%목표산량시비모형%특정삼수
ecological balanced fertilization model%target yield method%diagnostic parameters
对目标产量施肥模型特点、弊端和预测施肥量精度等进行了综合研究，并与生态平衡施肥模型进行了比较。结果表明：尽管目标产量施肥模型构建合理，参数获得容易，但参数多，参数易变，参数准确测定困难，参数间存在相互影响关系，模型中没有考虑土壤有效养分平衡或变化，因此，它难以作为精确施肥模型使用；与其相比，生态平衡施肥模型将施肥系统中诸多变量统一在质量守恒定律之下，具有测土施肥模型和肥料效应函数模型的双重功能，参数变异小，参数易于获得和预测施肥量准确等诸多优点。
對目標產量施肥模型特點、弊耑和預測施肥量精度等進行瞭綜閤研究，併與生態平衡施肥模型進行瞭比較。結果錶明：儘管目標產量施肥模型構建閤理，參數穫得容易，但參數多，參數易變，參數準確測定睏難，參數間存在相互影響關繫，模型中沒有攷慮土壤有效養分平衡或變化，因此，它難以作為精確施肥模型使用；與其相比，生態平衡施肥模型將施肥繫統中諸多變量統一在質量守恆定律之下，具有測土施肥模型和肥料效應函數模型的雙重功能，參數變異小，參數易于穫得和預測施肥量準確等諸多優點。
대목표산량시비모형특점、폐단화예측시비량정도등진행료종합연구，병여생태평형시비모형진행료비교。결과표명：진관목표산량시비모형구건합리，삼수획득용역，단삼수다，삼수역변，삼수준학측정곤난，삼수간존재상호영향관계，모형중몰유고필토양유효양분평형혹변화，인차，타난이작위정학시비모형사용；여기상비，생태평형시비모형장시비계통중제다변량통일재질량수항정률지하，구유측토시비모형화비료효응함수모형적쌍중공능，삼수변이소，삼수역우획득화예측시비량준학등제다우점。
This paper discussed the characteristics, shortcoming and estimated dosage precision of target yield method(TYM), and compared with those of the ecological balanced fertilization model(EBFM). The results showed that the structure of TYM was reasonable and parame-ters were easy gotten. However, the fatal disadvantages of TYM were variable multi-parameters system with accurate parameters hardly be gotten, interactions among parameters, and less consideration of exchange item of soil available nutrient. Therefore, it was hard for TYM to be widely applied as an accurate fertilization model. In comparison with TYM, EBFM was an universal, quantitative and mechanism model, which was established based on the mass conversation law and the relationships of available nutrient transformation between soil, fertilizer and plant. As EBFM had the dual functions of fertilizer effect function method and soil testing&fertilizer recommendation(TYM was a typi-cal one), it had many strongpoints, such as complete functions, plenty information, less parameter variations, accurate measurement, easy for obtaining parameters, precise calculation, etc.
