PMID- 29434347 OWN - NLM STAT- MEDLINE DCOM- 20190930 LR - 20190930 IS - 2045-2322 (Electronic) IS - 2045-2322 (Linking) VI - 8 IP - 1 DP - 2018 Feb 12 TI - Unary Non-Structural Fertilizer Response Model for Rice Crops and Its Field Experimental Verification. PG - 2792 LID - 10.1038/s41598-018-21163-w [doi] LID - 2792 AB - The quadratic polynomial fertilizer response model (QPFM) is the primary method for implementing quantitative fertilization in crop production, but the success rate of this model's recommended fertilization rates in China is low because the model contains a high setting bias. This paper discusses a new modelling method for expanding the applicability of QPFM. The results of field experiments with 8 levels of N, P, or K fertilization showed that the dynamic trend between rice yield increases and fertilizer application rate exhibited a typical exponential relationship. Therefore, we propose a unary non-structural fertilizer response model (NSFM). The responses of 18 rice field experiments to N, P, or K fertilization indicated that the new models could significantly predict rice yields, while two experimental fitting results using the unary QPFM did not pass statistical significance tests. The residual standard deviations of 13 new models were significantly lower than that of the unary QPFM. The linear correlation coefficient of the recommended application rates between the new model and the unary QPFM reached a significant level. Theoretical analysis showed that the unary QPFM was a simplified version of the new model, and it had a higher fitting precision and better applicability. FAU - Zhang, Mingqing AU - Zhang M AD - Soil and Fertilizer Institute, Fujian Academy of Agricultural Science, Fuzhou, 350013, China. FAU - Li, Juan AU - Li J AD - Soil and Fertilizer Institute, Fujian Academy of Agricultural Science, Fuzhou, 350013, China. FAU - Chen, Fang AU - Chen F AD - Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, China. fchen@ipni.ac.cn. AD - Wuhan Office of International Plant Nutrition Institute, Wuhan, 430074, China. fchen@ipni.ac.cn. FAU - Kong, Qingbo AU - Kong Q AD - Soil and Fertilizer Institute, Fujian Academy of Agricultural Science, Fuzhou, 350013, China. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20180212 PL - England TA - Sci Rep JT - Scientific reports JID - 101563288 RN - 0 (Fertilizers) RN - 0 (Soil) RN - N762921K75 (Nitrogen) SB - IM MH - Agriculture/*methods MH - Crop Production/methods MH - Crops, Agricultural/metabolism MH - Fertilizers/*analysis MH - Models, Theoretical MH - Nitrogen/analysis MH - Oryza/*metabolism MH - Soil/chemistry PMC - PMC5809603 COIS- The authors declare no competing interests. EDAT- 2018/02/13 06:00 MHDA- 2019/10/01 06:00 PMCR- 2018/02/12 CRDT- 2018/02/14 06:00 PHST- 2017/09/06 00:00 [received] PHST- 2018/01/29 00:00 [accepted] PHST- 2018/02/14 06:00 [entrez] PHST- 2018/02/13 06:00 [pubmed] PHST- 2019/10/01 06:00 [medline] PHST- 2018/02/12 00:00 [pmc-release] AID - 10.1038/s41598-018-21163-w [pii] AID - 21163 [pii] AID - 10.1038/s41598-018-21163-w [doi] PST - epublish SO - Sci Rep. 2018 Feb 12;8(1):2792. doi: 10.1038/s41598-018-21163-w.