Application of analytical techniques of Magnetic Resonance Imaging and multispectral image to evaluate Jatropha curcas L. seeds

• Grant number: 19/04127-1
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: April 01, 2019
• End date: December 31, 2019
• Field of knowledge: Agronomical Sciences - Agronomy - Crop Science
• Principal Investigator: Clíssia Barboza Mastrangelo
• Grantee: Vitor de Jesus Martins Bianchini
• Host Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
• Associated research grant: 17/15220-7 - Non-destructive image analysis methods for seed quality evaluation, AP.JP

Abstract

Given its potential as biofuel the demand of Jatropha curcas seeds with higher quality has been increased. Since pathogens are considered one the main problems in Jatropha curcas seeds, seed health evaluation is essential. Damage caused by pathogens include death of seedlings prior to emergence (pre-emergence damping-off), root rot, necrotic spots on leaves, stems or fruits, seedlings with deformities, hypertrophy and underdevelopment, tissue discoloration and latent infections. Direct damages include seed rot and loss of germination. Therefore, the study of procedures for rapid and accurate evaluation of seed physiological potential contributes to decision making in many stages of seed production, especially after maturity. Magnetic Resonance imaging and multispectral imaging are promising alternatives for the evaluation of seed health, which also allow the identification of physiological changes and mechanical damages. In addition, this research aims to stablish pattern of images using X-ray tests to detect and differentiate mechanical damages in seed lots. Germination and vigor tests will also be conducted and compared to the pattern of images obtained by the techniques, associating the integrity of vital parts in the seeds with their physiological potential.

Scientific publications

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

MARTINS BIANCHINI, VITOR DE JESUS; MASCARIN, GABRIEL MOURA; APARECIDA SANTOS SILVA, LUCIA CRISTINA; ARTHUR, VALTER; CARSTENSEN, JENS MICHAEL; BOELT, BIRTE; DA SILVA, CLISSIA BARBOZA. Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality. PLANT METHODS, v. 17, n. 1, JAN 26 2021. (18/03807-6, 19/04127-1, 17/15220-7, 18/03802-4, 18/01774-3)

DA SILVA, CLISSIA BARBOZA; MARTINS BIANCHINI, VITOR DE JESUS; DE MEDEIROS, ANDRE DANTAS; DUARTE DE MORAES, MARIA HELOISA; MARASSI, AGIDE GIMENEZ; TANNUS, ALBERTO. A novel approach for Jatropha curcas seed health analysis based on multispectral and resonance imaging techniques. INDUSTRIAL CROPS AND PRODUCTS, v. 161, MAR 2021. (18/01774-3, 17/15220-7, 19/04127-1, 18/03802-4)