Evaluation of yellow passion fruit residue extract on the peanut cultivar Georgia-14N and the developing breeding line NB-1.

• Grant number: 25/09901-8
• Support Opportunities: Scholarships abroad - Research Internship - Master's degree
• Start date: September 01, 2025
• End date: February 01, 2026
• Field of knowledge: Biological Sciences - Botany - Pant Physiology
• Principal Investigator: Priscila Lupino Gratão
• Grantee: Milena Silva Garcia Palma
• Supervisor: Cristiane Pilon
• Host Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil
• Institution abroad: University of Georgia, Tifton Campus, United States
• Associated to the scholarship: 24/02793-2 - Use of waste production passion fruit in alleviate water deficit stress in peanut plants, BP.MS

Abstract

São Paulo is Brazil's leading peanut (Arachis hypogaea L.) producing state of. However, Brazilian peanut exports have declined due to climate change. The use of bio-based agricultural inputs (bioinputs) is growing and is promising from both economic and environmental perspectives, aiming to meet export requirements and increase production in a sustainable manner. Brazil is the eighth largest peanut producer in the world, while the United States ranks fourth, with Georgia being the leading producing state within the U.S. In this context, this study aims to evaluate the effects of a hydroalcoholic extract derived from agro-industrial residues of yellow passion fruit (peels and seeds) on peanut plants grown in U.S. soils. The experiment will be conducted using two genotypes, Georgia-14N and NB-1, under greenhouse conditions until the end of flowering, using a randomized block design in a 4×2 factorial arrangement with five replicates, for a total of 40 experimental units. Treatments will consist of two water regimes (80% and 40% field capacity), presence or absence of the hydroalcoholic extract, and the two peanut genotypes (GA-14N and NB-1). Growth and physiological and biochemical analyses will be performed, and the data will be subjected to analysis of variance using the F-test. Significant differences among treatments will be determined by Tukey's test at a 5% probability level, and when appropriate, regression and correlation analyses will be conducted. (AU)