MICRO-ORGANISMS FOR REDUCING THE EFFECTS OF WATER STRESS IN BEAN CROPS

• Grant number: 23/01675-3
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Effective date (Start): April 01, 2024
• Effective date (End): June 27, 2024
• Field of knowledge: Agronomical Sciences - Agricultural Engineering - Soil and Water Engineering
• Principal Investigator: Fernando Ferrari Putti
• Grantee: Gustavo Ferreira da Silva
• Host Institution: Faculdade de Ciências e Engenharia. Universidade Estadual Paulista (UNESP). Campus de Tupã. Tupã , SP, Brazil

Abstract

Beans crops are of great importance for food security and one of the limitations in terms of yield is water stress, mainly when cultivated in the winter season and without irrigation. In this scenario, it is necessary to seek sustainable alternatives to reduce the impacts of the water deficit. In this sense, Bacillus aryabhattai use has shown great ability to reduce the symptoms of lack of water. However, the alterations in plant metabolism have not yet been explained and there are still no studies with the bean crop. Thus, the aim of this study will be to verify whether the use of B. aryabhattai isolated or associated with Rhizobium tropici results in beneficial physiological, biochemical and genetic responses in common bean plants grown under suboptimal irrigation at different phenological stages. The experiment will be conducted in the field, under a bands design, in a 5x4 factorial scheme, with five irrigation management and four combinations of bioinputs. Irrigation management will consist of: (I) Full irrigation throughout the bean cycle; (II) irrigation with a deficit of 50% throughout its cycle; (III) 50% deficit irrigation during vegetative growth; (IV) irrigation with a deficit of 50% in flowering and grain formation and (V) Irrigation with a deficit of 50% in grain filling. The evaluated bioinputs will be two commercial products containing B. aryabhattai, and R. tropici, constituting the following treatments: (I) inoculation with B. aryabhattai; (II) inoculation with B. aryabhattai + R. tropici; (III) positive control, in which mineral nitrogen will be added and (IV) negative control, in which mineral nitrogen and inoculant will not be applied. Physiological, biochemical, genetic, productivity and soil microbiological factors will be evaluated. Data will be submitted to analysis of variance and means compared by Tukey test (pd 0.05). The data will also be subjected to principal component analysis, using the nonlinear iterative partial least squares algorithm (NIPALS). And the results of the evaluation of soil bacterial communities will be evaluated by multivariate statistics and bioinformatics.