A New Pabs Model for Quantitatively Diagnosing Phosphorus Nutritional Status in Corn Plants
Accurate diagnosis of plant phosphorus nutritional status is critical for optimizing agricultural practices and enhancing resource efficiency. Existing methods are limited to qualitatively assessing plant phosphorus nutritional status and cannot quantitatively estimate the plant’s phosphorus require...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/2/764 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832589212651618304 |
|---|---|
| author | Xinwei Zhao Shengbo Chen Yucheng Xu Zibo Wang |
| author_facet | Xinwei Zhao Shengbo Chen Yucheng Xu Zibo Wang |
| author_sort | Xinwei Zhao |
| collection | DOAJ |
| description | Accurate diagnosis of plant phosphorus nutritional status is critical for optimizing agricultural practices and enhancing resource efficiency. Existing methods are limited to qualitatively assessing plant phosphorus nutritional status and cannot quantitatively estimate the plant’s phosphorus requirements. Moreover, these methods are time-consuming, making them impractical for large-scale application. In this study, we developed an advanced phosphorus absorption model (Pabs) that integrates the phosphorus nutrition index (PNI) and phosphorus use efficiency (PUE). The PUE, a critical metric for assessing phosphate fertilizer use efficiency, was quantified by comparing yields under fertilized and unfertilized conditions. Utilizing the Agricultural Production Systems Simulator (APSIM) model, we simulated maize (<i>Zea mays</i> L.) phosphorus concentration (P) and aboveground biomass (Bio) under varying phosphorus application rates. The model exhibited robust performance, achieving an R<sup>2</sup> above 0.95 and an RMSE below 0.22. Based on the APSIM model simulations, a phosphorus dilution curve (Pc = 3.17 Bio<sup>−0.29</sup>, R<sup>2</sup> = 0.98) was established, reflecting the dilution trends of phosphorus across growth stages. Furthermore, the use of vegetation indices (VIS) to evaluate phosphorus nutritional status also showed promising results, with inversion accuracies exceeding 0.70. To validate the model, field sampling was conducted in maize-growing regions of Changchun. Results demonstrated a correct diagnosis rate of 75%, underscoring the model’s capacity to accurately estimate phosphorus requirements on a regional scale. These findings highlight the Pabs model as a reliable tool for precision phosphorus management, offering significant potential to optimize fertilization strategies and support sustainable agricultural systems. |
| format | Article |
| id | doaj-art-b252ad2a5ccb4e92b2f2077e2f6aaf0d |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-b252ad2a5ccb4e92b2f2077e2f6aaf0d2025-01-24T13:20:44ZengMDPI AGApplied Sciences2076-34172025-01-0115276410.3390/app15020764A New Pabs Model for Quantitatively Diagnosing Phosphorus Nutritional Status in Corn PlantsXinwei Zhao0Shengbo Chen1Yucheng Xu2Zibo Wang3College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, ChinaCollege of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, ChinaCollege of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, ChinaCollege of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, ChinaAccurate diagnosis of plant phosphorus nutritional status is critical for optimizing agricultural practices and enhancing resource efficiency. Existing methods are limited to qualitatively assessing plant phosphorus nutritional status and cannot quantitatively estimate the plant’s phosphorus requirements. Moreover, these methods are time-consuming, making them impractical for large-scale application. In this study, we developed an advanced phosphorus absorption model (Pabs) that integrates the phosphorus nutrition index (PNI) and phosphorus use efficiency (PUE). The PUE, a critical metric for assessing phosphate fertilizer use efficiency, was quantified by comparing yields under fertilized and unfertilized conditions. Utilizing the Agricultural Production Systems Simulator (APSIM) model, we simulated maize (<i>Zea mays</i> L.) phosphorus concentration (P) and aboveground biomass (Bio) under varying phosphorus application rates. The model exhibited robust performance, achieving an R<sup>2</sup> above 0.95 and an RMSE below 0.22. Based on the APSIM model simulations, a phosphorus dilution curve (Pc = 3.17 Bio<sup>−0.29</sup>, R<sup>2</sup> = 0.98) was established, reflecting the dilution trends of phosphorus across growth stages. Furthermore, the use of vegetation indices (VIS) to evaluate phosphorus nutritional status also showed promising results, with inversion accuracies exceeding 0.70. To validate the model, field sampling was conducted in maize-growing regions of Changchun. Results demonstrated a correct diagnosis rate of 75%, underscoring the model’s capacity to accurately estimate phosphorus requirements on a regional scale. These findings highlight the Pabs model as a reliable tool for precision phosphorus management, offering significant potential to optimize fertilization strategies and support sustainable agricultural systems.https://www.mdpi.com/2076-3417/15/2/764phosphorus status diagnosisprecision phosphorus managementphosphorus absorption modelphosphorus nutrition indexagricultural production systems simulator |
| spellingShingle | Xinwei Zhao Shengbo Chen Yucheng Xu Zibo Wang A New Pabs Model for Quantitatively Diagnosing Phosphorus Nutritional Status in Corn Plants Applied Sciences phosphorus status diagnosis precision phosphorus management phosphorus absorption model phosphorus nutrition index agricultural production systems simulator |
| title | A New Pabs Model for Quantitatively Diagnosing Phosphorus Nutritional Status in Corn Plants |
| title_full | A New Pabs Model for Quantitatively Diagnosing Phosphorus Nutritional Status in Corn Plants |
| title_fullStr | A New Pabs Model for Quantitatively Diagnosing Phosphorus Nutritional Status in Corn Plants |
| title_full_unstemmed | A New Pabs Model for Quantitatively Diagnosing Phosphorus Nutritional Status in Corn Plants |
| title_short | A New Pabs Model for Quantitatively Diagnosing Phosphorus Nutritional Status in Corn Plants |
| title_sort | new pabs model for quantitatively diagnosing phosphorus nutritional status in corn plants |
| topic | phosphorus status diagnosis precision phosphorus management phosphorus absorption model phosphorus nutrition index agricultural production systems simulator |
| url | https://www.mdpi.com/2076-3417/15/2/764 |
| work_keys_str_mv | AT xinweizhao anewpabsmodelforquantitativelydiagnosingphosphorusnutritionalstatusincornplants AT shengbochen anewpabsmodelforquantitativelydiagnosingphosphorusnutritionalstatusincornplants AT yuchengxu anewpabsmodelforquantitativelydiagnosingphosphorusnutritionalstatusincornplants AT zibowang anewpabsmodelforquantitativelydiagnosingphosphorusnutritionalstatusincornplants AT xinweizhao newpabsmodelforquantitativelydiagnosingphosphorusnutritionalstatusincornplants AT shengbochen newpabsmodelforquantitativelydiagnosingphosphorusnutritionalstatusincornplants AT yuchengxu newpabsmodelforquantitativelydiagnosingphosphorusnutritionalstatusincornplants AT zibowang newpabsmodelforquantitativelydiagnosingphosphorusnutritionalstatusincornplants |