Technological characteristics of common bean genotypes (Phaseolus vulgaris L.) under water deficit conditions

• Grant number: 11/19437-4
• Support Opportunities: Regular Research Grants
• Duration: March 01, 2012 - July 31, 2014
• Field of knowledge: Agronomical Sciences - Agronomy - Crop Science
• Principal Investigator: Sérgio Augusto Morais Carbonell
• Grantee: Sérgio Augusto Morais Carbonell
• Host Institution: Instituto Agronômico (IAC). Agência Paulista de Tecnologia dos Agronegócios (APTA). Secretaria de Agricultura e Abastecimento (São Paulo - Estado). Campinas , SP, Brazil
• Associated researchers: Alisson Fernando Chiorato ; Cássia Regina Limonta Carvalho ; Luciana Lasry Benchimol-Reis

Abstract

The bean crop is of great importance because Brazil is characterized as the largest world producer, and it is also is the most important grain legume for direct human consumption, with per capita consumption of 16 kg/habitant/year. It is known that the acceptance of the product, since the registration of a cultivar until the final consumer, requires some concern with certain characteristics, among them, the technological quality of grains. The soil and climatic changes affects the common bean harvest, mainly because of its sensitivity to abiotic stress. The objective of the study is the possible interactions between the characters cooking time and grain color under water deficit, for routine selection of drought tolerant plants in the Bean Improvement Program. Later assessments will be held for 58 genotypes of the carioca tegument from the Germplasm Bank of the Bean Improvement Program of the Agronomic Institute - IAC, in order to identify potential parents tolerant to water stress deficit and high quality technology traits directing future crosses in the breeding program. Molecular markers such as SSRs and SNPs will be used for genotyping a diversity panel in order to associate markers with these traits using an associative mapping approach. The experiments, installed in a greenhouse, follow a randomized block design with split plots and three replicates, with water deficit imposed during grain filling (R7). The evaluations will be performed for measuring leaf area, chlorophyll, productivity, cooking time, colorimetry, percentage of water before cooking, percentage of water after cooking, the soluble solids, fiber, lignin, phenolic compounds and enzymatic activity of peroxidase and polyphenoloxidase. (AU)