Comprehensive evaluation of nitrogen fertilization impact on early maturing rice varieties using multivariate analysis and vegetation indices
Early maturing rice varieties are crucial for climate-resilient agriculture, yet nitrogen optimization in these varieties remains under-explored. Most existing studies focus on conventional varieties and lack an integrated approach combining agronomic traits, remote sensing, and statistical modeling...
| Autores principales: | , , , , , , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Frontiers Media
2025
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| Acceso en línea: | https://hdl.handle.net/10568/177671 |
| _version_ | 1855522498559344640 |
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| author | Musa, Yunus Padjung, Rusnadi Nasaruddin, Nasaruddin Farid, Muh Soma, Andang Suryana Baharuddin, Achmad Kautsar Al Qautzar, Muh. Fikri Fakhri, Resky Maulidina Casimero, Madonna Nur Amin Seleiman, Mahmoud F. Alotaibi, Majed Ali, Nawab Anshori, Muhammad Fuad |
| author_browse | Al Qautzar, Muh. Fikri Ali, Nawab Alotaibi, Majed Anshori, Muhammad Fuad Baharuddin, Achmad Kautsar Casimero, Madonna Fakhri, Resky Maulidina Farid, Muh Musa, Yunus Nasaruddin, Nasaruddin Nur Amin Padjung, Rusnadi Seleiman, Mahmoud F. Soma, Andang Suryana |
| author_facet | Musa, Yunus Padjung, Rusnadi Nasaruddin, Nasaruddin Farid, Muh Soma, Andang Suryana Baharuddin, Achmad Kautsar Al Qautzar, Muh. Fikri Fakhri, Resky Maulidina Casimero, Madonna Nur Amin Seleiman, Mahmoud F. Alotaibi, Majed Ali, Nawab Anshori, Muhammad Fuad |
| author_sort | Musa, Yunus |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Early maturing rice varieties are crucial for climate-resilient agriculture, yet nitrogen optimization in these varieties remains under-explored. Most existing studies focus on conventional varieties and lack an integrated approach combining agronomic traits, remote sensing, and statistical modeling. The objective of this study was to determine evaluation criteria and develop a model to predict the productivity of short-season rice varieties. Experiments were conducted in different seasons at two locations in Sidenreng Rappang and Maros, South Sulawesi, using a nested split-plot design with three replicates. The main plots consisted of five nitrogen levels, while the subplots included five early maturing rice varieties and two moderate age as control. Key findings of this study is that the stepwise regression model combining NDVI and yield per clump showed strong performance, with R2 = 0.65/0.73, RMSE = 0.65/0.61, and MAPE = 9.72%/10.81% for training/testing, respectively. This regression model effectively evaluates how rice growth responds to varying nitrogen fertilizer doses, particularly in early-maturing varieties. Therefore, it can be reliably used to predict the future yield of these varieties. |
| format | Journal Article |
| id | CGSpace177671 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1776712025-12-08T10:29:22Z Comprehensive evaluation of nitrogen fertilization impact on early maturing rice varieties using multivariate analysis and vegetation indices Musa, Yunus Padjung, Rusnadi Nasaruddin, Nasaruddin Farid, Muh Soma, Andang Suryana Baharuddin, Achmad Kautsar Al Qautzar, Muh. Fikri Fakhri, Resky Maulidina Casimero, Madonna Nur Amin Seleiman, Mahmoud F. Alotaibi, Majed Ali, Nawab Anshori, Muhammad Fuad rice early maturation nitrogen fertilizers varieties agronomic traits remote sensing normalized difference yield prediction regression analysis climate resilience Early maturing rice varieties are crucial for climate-resilient agriculture, yet nitrogen optimization in these varieties remains under-explored. Most existing studies focus on conventional varieties and lack an integrated approach combining agronomic traits, remote sensing, and statistical modeling. The objective of this study was to determine evaluation criteria and develop a model to predict the productivity of short-season rice varieties. Experiments were conducted in different seasons at two locations in Sidenreng Rappang and Maros, South Sulawesi, using a nested split-plot design with three replicates. The main plots consisted of five nitrogen levels, while the subplots included five early maturing rice varieties and two moderate age as control. Key findings of this study is that the stepwise regression model combining NDVI and yield per clump showed strong performance, with R2 = 0.65/0.73, RMSE = 0.65/0.61, and MAPE = 9.72%/10.81% for training/testing, respectively. This regression model effectively evaluates how rice growth responds to varying nitrogen fertilizer doses, particularly in early-maturing varieties. Therefore, it can be reliably used to predict the future yield of these varieties. 2025-09-11 2025-11-07T08:50:33Z 2025-11-07T08:50:33Z Journal Article https://hdl.handle.net/10568/177671 en Open Access application/pdf Frontiers Media Musa, Yunus, Rusnadi Padjung, Nasaruddin Nasaruddin, Muh Farid, Andang Suryana Soma, Achmad Kautsar Baharuddin, Muh Fikri Al Qautzar et al. "Comprehensive evaluation of nitrogen fertilization impact on early maturing rice varieties using multivariate analysis and vegetation indices." Frontiers in Sustainable Food Systems 9 (2025): 1615799. |
| spellingShingle | rice early maturation nitrogen fertilizers varieties agronomic traits remote sensing normalized difference yield prediction regression analysis climate resilience Musa, Yunus Padjung, Rusnadi Nasaruddin, Nasaruddin Farid, Muh Soma, Andang Suryana Baharuddin, Achmad Kautsar Al Qautzar, Muh. Fikri Fakhri, Resky Maulidina Casimero, Madonna Nur Amin Seleiman, Mahmoud F. Alotaibi, Majed Ali, Nawab Anshori, Muhammad Fuad Comprehensive evaluation of nitrogen fertilization impact on early maturing rice varieties using multivariate analysis and vegetation indices |
| title | Comprehensive evaluation of nitrogen fertilization impact on early maturing rice varieties using multivariate analysis and vegetation indices |
| title_full | Comprehensive evaluation of nitrogen fertilization impact on early maturing rice varieties using multivariate analysis and vegetation indices |
| title_fullStr | Comprehensive evaluation of nitrogen fertilization impact on early maturing rice varieties using multivariate analysis and vegetation indices |
| title_full_unstemmed | Comprehensive evaluation of nitrogen fertilization impact on early maturing rice varieties using multivariate analysis and vegetation indices |
| title_short | Comprehensive evaluation of nitrogen fertilization impact on early maturing rice varieties using multivariate analysis and vegetation indices |
| title_sort | comprehensive evaluation of nitrogen fertilization impact on early maturing rice varieties using multivariate analysis and vegetation indices |
| topic | rice early maturation nitrogen fertilizers varieties agronomic traits remote sensing normalized difference yield prediction regression analysis climate resilience |
| url | https://hdl.handle.net/10568/177671 |
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