Comparative Study of Bacillus-Based Plant Biofertilizers: A Proposed Index
Metadatos
Mostrar el registro completo del ítemAutor
Barros Rodríguez, Adoración; Pacheco, Pamela; Peñas Corte, María; Fernández González, Antonio José; Cobo-Díaz, José Francisco; Enrique Cruz, Yasmira; Manzanera Ruiz, Maximino EnriqueEditorial
MDPI
Materia
Biofertilizer efficiency Microbial biodiversity Biofungicides
Fecha
2024-08-28Referencia bibliográfica
Barros-Rodríguez, A.; Pacheco, P.; Peñas-Corte, M.; Fernández-González, A.J.; Cobo-Díaz, J.F.; Enrique-Cruz, Y.; Manzanera, M. Comparative Study of Bacillus-Based Plant Biofertilizers: A Proposed Index. Biology 2024, 13, 668. https://doi.org/10.3390/biology13090668
Patrocinador
Grant PID2021-127623OB-I00 funded by MCIN 10.13039/501100011033 and by “ERDF A way of making Europe”; Agencia Estatal de Investigación of Ministerio de Ciencia, Innovación y Universidades (DIN2019-010903)Resumen
The market for bacteria as agricultural biofertilizers is growing rapidly, offering plantgrowth
stimulants; biofungicides; and, more recently, protectors against extreme environmental
factors, such as drought. This abundance makes it challenging for the end user to decide on the
product to use. In this work, we describe the isolation of a strain of Bacillus velezensis (belonging to
the operational group Bacillus amyloliquefaciens) for use as a plant-growth-promoting rhizobacterium,
a biofungicide, and a protector against drought. To compare its effectiveness with other commercial
strains of the same operational group, Bacillus amyloliquefaciens, we analyzed its ability to promote
the growth of pepper plants and protect them against drought, as well as its fungicidal activity
through antibiosis and antagonism tests, its ability to solubilize potassium and phosphates, and its
ability to produce siderophores. Finally, we used a probit function, a type of regression analysis
used to model the outcomes of analyses, to quantify the biostimulatory effectiveness of the different
plant-growth-promoting rhizobacteria, developing what we have called the Agricultural Protection
Against Stress Index, which allowed us to numerically compare the four commercial strains of the
operational group Bacillus amyloliquefaciens, based on a Delphi method—a type of regression analysis
that can be used to model a cumulative normal distribution—and integrate the results from our panel
of tests into a single value.