中国土壤与肥料
中國土壤與肥料
중국토양여비료
Soils and Fertilizers Sciences in China
2015年
5期
19-26
,共8页
陈小虎%蔡冬华%吴远帆%雷超虎%曹国华%李华
陳小虎%蔡鼕華%吳遠帆%雷超虎%曹國華%李華
진소호%채동화%오원범%뢰초호%조국화%리화
主要作物%土壤养分%校正系数%相关分析%数学模型
主要作物%土壤養分%校正繫數%相關分析%數學模型
주요작물%토양양분%교정계수%상관분석%수학모형
main crops%soil nutrient%correction factor%correlation analysis%mathematical model
分析了湖南省早稻、 中稻、 晚稻、 玉米、 油菜、 棉花、 烤烟、 红薯等8个主要农作物的2 459个 "3414"肥效试验结果, 获得了大量的土壤速效氮、 磷、 钾有效养分校正系数, 其中土壤有效磷校正系数平均值最高, 为161. 55%, 其次是速效钾的68. 30%, 最低的是碱解氮的38. 25%, 说明作物对土壤有效磷的利用率最高, 对土壤碱解氮的利用率最低; 土壤有效养分校正系数与对应土壤速效养分含量均呈极显著的负相关, 其中与速效钾含量的相关性最密切, 其次是有效磷和碱解氮; 以土壤速效养分含量为自变量x, 以对应的校正系数为因变量y, 回归分析建立的最佳数学模型均为双曲线, 其回归关系和拟合度均到达极显著水平; 数据来源于全省大样本的试验结果, 具有较强的代表性, 可以用于校正斯坦福施肥量估算公式中的有效养分校正系数值, 为精确估算主要农作物施肥量和制定施肥配方提供科学依据.
分析瞭湖南省早稻、 中稻、 晚稻、 玉米、 油菜、 棉花、 烤煙、 紅藷等8箇主要農作物的2 459箇 "3414"肥效試驗結果, 穫得瞭大量的土壤速效氮、 燐、 鉀有效養分校正繫數, 其中土壤有效燐校正繫數平均值最高, 為161. 55%, 其次是速效鉀的68. 30%, 最低的是堿解氮的38. 25%, 說明作物對土壤有效燐的利用率最高, 對土壤堿解氮的利用率最低; 土壤有效養分校正繫數與對應土壤速效養分含量均呈極顯著的負相關, 其中與速效鉀含量的相關性最密切, 其次是有效燐和堿解氮; 以土壤速效養分含量為自變量x, 以對應的校正繫數為因變量y, 迴歸分析建立的最佳數學模型均為雙麯線, 其迴歸關繫和擬閤度均到達極顯著水平; 數據來源于全省大樣本的試驗結果, 具有較彊的代錶性, 可以用于校正斯坦福施肥量估算公式中的有效養分校正繫數值, 為精確估算主要農作物施肥量和製定施肥配方提供科學依據.
분석료호남성조도、 중도、 만도、 옥미、 유채、 면화、 고연、 홍서등8개주요농작물적2 459개 "3414"비효시험결과, 획득료대량적토양속효담、 린、 갑유효양분교정계수, 기중토양유효린교정계수평균치최고, 위161. 55%, 기차시속효갑적68. 30%, 최저적시감해담적38. 25%, 설명작물대토양유효린적이용솔최고, 대토양감해담적이용솔최저; 토양유효양분교정계수여대응토양속효양분함량균정겁현저적부상관, 기중여속효갑함량적상관성최밀절, 기차시유효린화감해담; 이토양속효양분함량위자변량x, 이대응적교정계수위인변량y, 회귀분석건립적최가수학모형균위쌍곡선, 기회귀관계화의합도균도체겁현저수평; 수거래원우전성대양본적시험결과, 구유교강적대표성, 가이용우교정사탄복시비량고산공식중적유효양분교정계수치, 위정학고산주요농작물시비량화제정시비배방제공과학의거.
In this study, 2 459 "3414" fertilizer efficiency experiment results on eight major crops such as the early rice, middle-season rice and late rice, corn, rape, cotton, flue-cured tobacco and sweet potato were analyzed, and soil available N, P, K nutrient correction factors were obtained. The average of the correction coefficient of available P in soil was 161. 55%, followed by available K which was 68. 30%, the lowest was alkali solution nitrogen which was 38. 25%. It showed that the utilization of available P in soil was the highest, the lowest utilization was soil alkaline hydrolysis N. Soil available nu-trients correction factors were all significant negative correlated to its corresponding soil available nutrient contents. Seting soil available nutrient content as the independent variable x, and the corresponding correction factor as the dependent variable y, regression analysis was simulated. It showed that the hyperbolic was the optimal mathematical model, in which the fit of the re-gression reached extremely significant level. This study was based on large samples which were strong representative and could be used for correction of effective nutrient coefficient values in Stanford fertilizer rate estimation formula, and could be used to accurately estimate fertilizer rate in the main crops and provide scientific basis for fertilizing formula.