Correlation of banana productivity levels and soil morphological properties using regularized optimal scaling regression
| العنوان: | Correlation of banana productivity levels and soil morphological properties using regularized optimal scaling regression |
|---|---|
| المؤلفون: | Julio Calero, Deyanira Lobo, José A. Gómez, Blanca B. Landa, Barlin O. Olivares, Juan C. Rey |
| المساهمون: | Fundación Carolina, FONTAGRO, Universidad de Córdoba (España), European Commission |
| المصدر: | CATENA Catena 208, 105718 (2022) Helvia. Repositorio Institucional de la Universidad de Córdoba instname Digital.CSIC. Repositorio Institucional del CSIC |
| بيانات النشر: | Elsevier, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | 010501 environmental sciences, 01 natural sciences, Cross-validation, Statistics, Soil structure, Texture, 0105 earth and related environmental sciences, Earth-Surface Processes, Mathematics, 2. Zero hunger, Biological activity, Regression analysis, 04 agricultural and veterinary sciences, 15. Life on land, Soil quality, Regression, Dry consistence, Bootstrapping (electronics), Productivity (ecology), Sustainability, Qualitative soil indicators, Soil water, 040103 agronomy & agriculture, 0401 agriculture, forestry, and fisheries |
| الوصف: | Trabajo desarrollado bajo la financiación del proyecto “Soil Hydrology research platform underpinning innovation to manage water scarcity in European and Chinese cropping Systems” (773903), coordinado por José Alfonso Gómez Calero, investigador del Instituto de Agricultura Sostenible (IAS). Soil morphological properties described in the field, such as texture, consistence or structure, provide a valuable tool for the evaluation of soil productivity potential. In this study, we developed a regression model between the soil morphological variables of banana plantations and a crop Productivity Index (PI) previously developed for the same areas in Venezuela. For this, we implemented categorical regression, an optimal scaling procedure in which the morphological variables are transformed into a numerical scale, and can thus be entered in a multiple regression analysis. The model was developed from data from six plantations growing “Gran Nain” bananas, each with two productivity levels (high and low), in two 4-ha experimental plots, one for each productivity level. Sixty-three A horizons in thirty-six soils were described using 15 field morphological variables on a nominal scale for structure type, texture and hue, and an ordinal scale for the rest (structure grade, structure size, wet and dry consistence, stickiness, plasticity, moist value, chroma, root abundance, root size, biological activity and reaction to HCl). The optimum model selected included biological activity, texture, dry consistence, reaction to HCl and structure type variables. These variables explained the PI with an R2 of 0.599, an expected prediction error (EPE) of 0.645 and a standard error (SE) of 0.135 using bootstrapping, and EPE of 0.662 with a SE of 0.236 using 10-fold cross validation. Our study showed how soil quality is clearly related to productivity on commercial banana plantations, and developed a way to correlate soil quality indicators to yield by using indicators based on easily measured soil morphological parameters. The methodology used in this study might be further expanded to other banana-producing areas to help identify the soils most suitable for its cultivation, thereby enhancing its environmental sustainability and profitability. The authors recognize the financial support for international mobility of the Ibero-American Secretary General with Fundación Carolina and Action KA107 of Erasmus + Program from Agrifood Campus of International Excellence (ceiA3) (2020). Also, by project “Technological innovations for the management and improvement of the quality and health of banana soils in Latin America and the Caribbean” financed by FONTAGRO and coordinated by Bioversity International (before INIBAP) and project SHui (European Commission Grant Agreement number: 773903). Funding for open access charge: Universidad de Córdoba / CBUA. |
| وصف الملف: | application/pdf |
| اللغة: | English |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e9cd3957053dd401495e69a7784a418 http://hdl.handle.net/10261/252997 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....0e9cd3957053dd401495e69a7784a418 |
| قاعدة البيانات: | OpenAIRE |
| الوصف غير متاح. |