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Soil‐nitrogen, potentially mineralizable‐nitrogen, and field condition information marginally improves corn nitrogen management
Agronomy Journal ( IF 2.1 ) Pub Date : 2020-06-28 , DOI: 10.1002/agj2.20335
Jason D. Clark 1 , Fabián G. Fernández 2 , Kristen S. Veum 3 , James J. Camberato 4 , Paul R. Carter 5 , Richard B. Ferguson 6 , David W. Franzen 7 , Daniel E. Kaiser 2 , Newell R. Kitchen 3 , Carrie A. M. Laboski 8 , Emerson D. Nafziger 9 , Carl J. Rosen 2 , John E. Sawyer 10 , John F. Shanahan 11
Affiliation  

Anaerobic potentially mineralizable nitrogen (PMN) combined with preplant nitrate test (PPNT) or pre‐sidedress nitrate test (PSNT) may improve corn (Zea mays L.) N management. Forty‐nine corn N response studies were conducted across the U.S. Midwest to evaluate the capacity of PPNT and PSNT to predict grain yield, N uptake, and economic optimal N rate (EONR) when adjusted by soil sampling depth, soil texture, temperature, PMN, and initial NH4–N from PMN analysis. Pre‐plant soil samples were obtained for PPNT (0‐ to 30‐, 30‐ to 60‐, 60‐ to 90‐cm depths) and PMN (0‐ to 30‐cm depth) before corn planting and N fertilization. In‐season soil samples were obtained at the V5 corn development stage for PSNT (0‐ to 30‐, 30‐ to 60‐cm depths) at 0 kg N ha−1 at‐planting rate and for PMN when 0 and 180 kg N ha−1 was applied at planting. Grain yield, N uptake, and EONR were best predicted when separating soils by texture or sites by annual growing degree‐days and including PMN and initial NH4–N with either NO3–N test. Using PSNT (mean R2 = .30)‐instead of PPNT (mean R2 = .19)‐based models normally increased predictability of corn agronomic variables by a mean of 11%. Including PMN and initial NH4–N with PPNT or PSNT only marginally improved predictability of grain yield, N uptake, and EONR (R2 increase ≤ .33; mean R2 = .35). Therefore, including PMN with PPNT or PSNT is not suggested as a tool to improve N fertilizer management in the U.S. Midwest.

中文翻译:

土壤氮,潜在矿化氮和田间条件信息可略微改善玉米氮素管理

厌氧性可能矿化的氮(PMN)与种植前硝酸盐测试(PPNT)或前菜硝酸盐测试(PSNT)的结合可以改善玉米(Zea mays L.)N的管理。在美国中西部地区进行了49次玉米氮素响应研究,评估了PPNT和PSNT在通过土壤采样深度,土壤质地,温度,PMN进行调整后预测谷物产量,氮素吸收和经济最优氮素含量(EONR)的能力。 ,以及来自PMN分析的初始NH 4 -N。在玉米播种和施氮之前,先获取PPNT(0至30、30至60、60至90厘米深度)和PMN(0至30厘米深度)的种植前土壤样品。在V5玉米发育阶段从0 kg N ha -1的PSNT(深度为0到30、30到60厘米)获取季节土壤样品。当种植时施用0和180 kg N ha -1时,种植时的比例和PMN 。当按年或生长年数按质地或部位分离土壤时,最好预测谷物的产量,氮素吸收量和EONR,并用NO 3 -N试验将PMN和初始NH 4 -N包括在内。使用PSNT(平均R 2  = 0.30)代替基于PPNT(平均R 2  = 0.19)的模型通常可使玉米农艺变量的可预测性平均提高11%。包括PMN和PPNT或PSNT的初始NH 4 -N仅略微提高了谷物产量,氮素吸收和EONR的可预测性(R 2增加≤0.33 ;平均R 2 = 0.35)。因此,在美国中西部地区,不建议将PMN与PPNT或PSNT一起用作改善氮肥管理的工具。
更新日期:2020-06-28
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