Large‐Area Maize Yield Forecasting Using Leaf Area Index Based Yield Model

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AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-09-15T00:30:32Z
Fecha de publicación2005-03-01
ResumenLarge‐area yield prediction early in the growing season is important in agricultural decision‐making. This study derived maize (Zea mays L.) leaf area index (LAI) estimates from spectral data and used these estimates with a simple LAI‐based yield model to forecast yield under irrigated conditions in large areas in Sinaloa, Mexico. Leaf area index was derived from satellite data with the use of an equation developed with LAI measurements from farmers' fields during the 2001–2002 autumn–winter growing season. These measurements were correlated with the normalized difference vegetation index values from 2002 Landsat ETM+ (enhanced thematic mapper) data. The equation was then tested with 2003 Landsat imagery data. A yield model was validated with maximum LAI and yield data measured in farmers' fields in northern and central Sinaloa during three consecutive autumn–winter growing seasons (1999–2000, 2000–2001, and 2001–2002). The yield model was further validated with 2002–2003 autumn–winter ground LAI (gLAI) and satellite‐derived LAI (sLAI) data from 71 farmers' fields in northern and central Sinaloa. Grain yield was predicted with a mean error of −9.2% with maximum gLAI and −11.2% with sLAI. Results indicate that the yield model using LAI can forecast yield in large areas in Sinaloa in the middle of the growing season with a mean absolute error of −1.2 Mg ha−1. The use of sLAI in place of ground measurements increased the mean absolute error by 0.3 Mg ha−1. Nevertheless, the use of sLAI would eliminate laborious LAI measurements for large‐area yield prediction in Sinaloa.es_ES
Doihttps://doi.org/10.2134/agronj2005.0418es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/2519
Idiomaenes_ES
EditorialWileyes_ES
RelaciónAgronomy Journales_ES
URL relacionadohttps://doi.org/10.2134/agronj2005.0418es_ES
DerechosAcceso restringido / Suscripción (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_16eces_ES
FuenteAgronomy Journal
Palabra claveLeaf area indexes_ES
Palabra claveThematic Mapperes_ES
Palabra claveYield (engineering)es_ES
Palabra claveGrowing seasones_ES
Palabra claveVegetation (pathology)es_ES
Palabra claveEnvironmental sciencees_ES
Palabra claveThematic mapes_ES
Palabra claveMathematicses_ES
Palabra claveAgronomyes_ES
Palabra claveSatellite imageryes_ES
Palabra claveRemote sensinges_ES
Palabra claveGeographyes_ES
ClasificaciónRemote Sensing in Agriculturees_ES
TítuloLarge‐Area Maize Yield Forecasting Using Leaf Area Index Based Yield Modeles_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorBáez‐González, Alma Delia
AutorKiniry, James R.
AutorMaas, Stephan J.
AutorTiscareno, Mario L.
AutorC., Jaime Macías
AutorMendoza, José Luis Zambrano
AutorRichardson, C. W.
AutorG., Jaime Salinas
AutorManjarrez, Juan R.
AutorBáez‐González, Alma Deliaes_ES
AutorKiniry, James R.es_ES
AutorMaas, Stephan J.es_ES
AutorTiscareno, Mario L.es_ES
AutorC., Jaime Macíases_ES
AutorMendoza, José Luis Zambranoes_ES
AutorRichardson, C. W.es_ES
AutorG., Jaime Salinases_ES
AutorManjarrez, Juan R.es_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número2es_ES
Rango de páginas418-425es_ES
URL relacionadahttps://doi.org/10.2134/agronj2005.0418
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen97es_ES

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