A Remote Sensing Approach for Assessing Daily Cumulative Evapotranspiration Integral in Wheat Genotype Screening for Drought Adaptation
Visualitza/Obre
Data de publicació
2023-11-16ISSN
2223-7747
Resum
This study considers critical aspects of water management and crop productivity in wheat cultivation, specifically examining the daily cumulative actual evapotranspiration (ETa). Traditionally, ETa surface energy balance models have provided estimates at discrete time points, lacking a holistic integrated approach. Field trials were conducted with 22 distinct wheat varieties, grown under both irrigated and rainfed conditions over a two-year span. Leaf area index prediction was enhanced through a robust multiple regression model, incorporating data acquired from an unmanned aerial vehicle using an RGB sensor, and resulting in a predictive model with an R2 value of 0.85. For estimation of the daily cumulative ETa integral, an integrated approach involving remote sensing and energy balance models was adopted. An examination of the relationships between crop yield and evapotranspiration (ETa), while considering factors like year, irrigation methods, and wheat cultivars, unveiled a pronounced positive asymptotic pattern. This suggests the presence of a threshold beyond which additional water application does not significantly enhance crop yield. However, a genetic analysis of the 22 wheat varieties showed no correlation between ETa and yield. This implies opportunities for selecting resource-efficient wheat varieties while minimizing water use. Significantly, substantial disparities in water productivity among the tested wheat varieties indicate the possibility of intentionally choosing lines that can optimize grain production while minimizing water usage within breeding programs. The results of this research lay the foundation for the development of resource-efficient agricultural practices and the cultivation of crop varieties finely attuned to water-scarce regions.
Tipus de document
Article
Versió del document
Versió publicada
Llengua
English
Matèries (CDU)
631/635 - Gestió de les explotacions agrícoles
633 - Cultius i produccions
Pàgines
20
Publicat per
MDPI
Publicat a
Plants
Citació
Gómez-Candón, David, Joaquim Bellvert, Ana Pelechá, and Marta S Lopes. 2023. “A Remote Sensing Approach for Assessing Daily Cumulative Evapotranspiration Integral in Wheat Genotype Screening for Drought Adaptation.” Plants 12 (22): 3871–71. https://doi.org/10.3390/plants12223871.
Número de l'acord de la subvenció
EC/H2020/817970/EU/INnovations in plant VarIety Testing in Europe to foster the introduction of new varieties better adapted to varying biotic and abiotic conditions and to more sustainable crop management practices/INVITE
Programa
Cultius Extensius Sostenibles
Ús Eficient de l'Aigua en Agricultura
Aquest element apareix en la col·lecció o col·leccions següent(s)
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