Mostrar el registro sencillo del ítem
Modeling Yield of Irrigated and Rainfed Bean in Central and Southern Sinaloa State, Mexico, Based on Essential Climate Variables
| dc.contributor.author | Llanes Cárdenas, Omar | |
| dc.contributor.author | Estrella Gastélum, Rosa Delia | |
| dc.contributor.author | Parra Galaviz, Román Edén | |
| dc.contributor.author | Ávila Díaz, Jeovan Alberto | |
| dc.contributor.author | Enrique, Troyo Diéguez | |
| dc.contributor.author | Gutierrez Raucho, Oscar Gerardo | |
| dc.date.issued | 2024 | |
| dc.identifier | https://cibnor.repositorioinstitucional.mx/jspui/handle/1001/3105 | |
| dc.identifier.uri | http://dspace.cibnor.mx:8080/handle/123456789/3326 | |
| dc.format | es | |
| dc.language.iso | eng | es |
| dc.publisher | MDPI | es |
| dc.rights | Acceso abierto | es |
| dc.subject | breadbasket, multiple linear regressions, sustainable foods | es |
| dc.subject.classification | TÉCNICAS DE CULTIVO | es |
| dc.title | Modeling Yield of Irrigated and Rainfed Bean in Central and Southern Sinaloa State, Mexico, Based on Essential Climate Variables | es |
| dc.type | article | es |
| dc.description.abstracten | "The goal was to model irrigated (IBY) and rainfed (RBY) bean yields in central (Culiacán) and southern (Rosario) Sinaloa state as a function of the essential climate variables soil moisture, temperature, reference evapotranspiration, and precipitation. For Sinaloa, for the period 1982–2013 (October–March), the following were calculated: (a) temperatures, (b) average degree days for the bean, (c) cumulative reference evapotranspiration, and (d) cumulative effective precipitation. For essential climate variables, (e) daily soil moisture obtained from the European Space Agency and (f) IBY and RBY from the Agrifood and Fisheries Information Service were used. Multiple linear regressions were significant for predicting IBY–RBY (dependent variables) as a function of essential climate variables (independent variables). The four models obtained were significantly predictive: IBY–Culiacán (Pearson correlation (PC) = 0.590 > Pearson critical correlation (CPC) = |0.349|), RBY–Culiacán (PC = 0.734 > CPC = |0.349|), IBY–Rosario of Irrigated and Rainfed Bean in Central and Southern Sinaloa State, Mexico, Based on Essential Climate Variables. Atmosphere 2024, 15, 573. https://doi.org/10.3390/ atmos15050573 Academic Editor: Simone Orlandini Received: 22 March 2024 Revised: 24 April 2024 Accepted: 26 April 2024 Published: 7 May 2024 Copyright: © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). (PC =0.621 > CPC=|0.355|), and RBY–Rosario (PC = 0.532 > CPC = |0.349|). Due to the lack of irrigation depth data, many studies only focus on modeling RBY; this study is the first in Sinaloa to predict IBY and RBY based on essential climate variables, contributing to the production of sustainable food." | es |
