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Remote sensing of quality traits in cereal and arable production systems: A review

Zhenhai  Li xiuliang jin Gerald Blasch James Taylor (2024, [Artículo])

Cereal is an essential source of calories and protein for the global population. Accurately predicting cereal quality before harvest is highly desirable in order to optimise management for farmers, grading harvest and categorised storage for enterprises, future trading prices, and policy planning. The use of remote sensing data with extensive spatial coverage demonstrates some potential in predicting crop quality traits. Many studies have also proposed models and methods for predicting such traits based on multi-platform remote sensing data. In this paper, the key quality traits that are of interest to producers and consumers are introduced. The literature related to grain quality prediction was analyzed in detail, and a review was conducted on remote sensing platforms, commonly used methods, potential gaps, and future trends in crop quality prediction. This review recommends new research directions that go beyond the traditional methods and discusses grain quality retrieval and the associated challenges from the perspective of remote sensing data.

Quality Traits Grain Protein CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA REMOTE SENSING QUALITY GRAIN PROTEINS CEREALS PRODUCTION SYSTEMS

Coinfection and in vitro interaction of Lasiodiplodia pseudotheobromae and Pestalotiopsis mangiferae associated with dieback in branches of mango (Mangifera indica) Manila variety, in Veracruz, Mexico

LILIANA EUNICE SAUCEDO PICAZO Luis Guillermo Hernández Montiel NORMA FLORES ESTEVEZ PATRICIA GEREZ FERNANDEZ ANGEL FERNANDO ARGÜELLO ORTIZ JUAN CARLOS NOA CARRAZANA (2022, [Artículo])

"Dieback disease caused by fungal complexes is a severe problem in mango trees (Mangifera indica). Its main symptoms are branch rot, gummosis, and finally, the tree’s death. In this work, the species of the fungal complex causing mango dieback in the Manila variety in Veracruz, Mexico were identified. The in vitro interaction of two species belonging to the complex was evaluated and the severity of the co-infection in mango branches. Lasiodiplodia pseudotheobromae and Pestalotiopsis mangiferae were identified as causal agents of mango dieback in the producing area of Veracruz. In coinfected mango branches, greater severity of necrosis was observed than in individual infections. Liquid culture filtrates applied in co-cultures showed different results for each species of phytopathogen. The P. mangiferae filtrate had no significant antagonistic effects on the growth of L. pseudotheobromae (inhibition of 2.68%), while the L. pseudotheobromae filtrate inhibited 41.38% of P. mangiferae. The results show that multiple infections in mango trees increase the damage caused by dieback, which could directly impact the development of control strategies."

gummosis, virulence, interaction, fungal complex CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CIENCIAS AGRARIAS FITOPATOLOGÍA FITOPATOLOGÍA FITOPATOLOGÍA