Source: TEXAS A&M UNIVERSITY submitted to NRP
CORN-ENVIRONMENT INTERACTIONS AND THEIR IMPACT AND AFLATOXIN CONTAMINATION IN DIFFERENT GEOGRAPHICAL CORN-GROWING REGIONS OF TEXAS
Sponsoring Institution
Agricultural Research Service/USDA
Project Status
ACTIVE
Funding Source
USDA COOPERATIVE AGREEMENT
Reporting Frequency
Annual
Accession No.
0446867
Grant No.
(N/A)
Cumulative Award Amt.
(N/A)
Proposal No.
(N/A)
Multistate No.
(N/A)
Project Start Date
Aug 19, 2024
Project End Date
Aug 18, 2025
Grant Year
(N/A)
Program Code
[(N/A)]- (N/A)
Recipient Organization
TEXAS A&M UNIVERSITY
750 AGRONOMY RD STE 2701
COLLEGE STATION,TX 77843-0001
Performing Department
(N/A)
Non Technical Summary
(N/A)
Animal Health Component
50%
Research Effort Categories
Basic
50%
Applied
50%
Developmental
0%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
7121510104080%
7121810108010%
7121830110210%
Knowledge Area
712 - Protect Food from Contamination by Pathogenic Microorganisms, Parasites, and Naturally Occurring Toxins;

Subject Of Investigation
1510 - Corn; 1810 - Cottonseed; 1830 - Peanut;

Field Of Science
1040 - Molecular biology; 1102 - Mycology; 1080 - Genetics;
Goals / Objectives
1. To determine the relationship among corn-environment interactions, mycotoxin contamination levels, kernel quality traits, plant phenology, plant hyperspectral imaging and yield performance of corn hybrids in specific growing regions of Texas. 2. To understand the link among weather, kernel quality traits and corn phenology traits that are desirable for corn production then evaluating the correlation among those traits and aflatoxin contamination in different geographical corn-growing zones of Texas will aid in preventing the presence of aflatoxin.
Project Methods
Field trials across Texas will be used to evaluate grain quality traits and mycotoxin content in various commercial hybrids during natural infections in the field. We will establish variety trials in different production regions of Texas to obtain data on: Seed quality traits, corn phenology, hyperspectral images of corn, soil properties, and mycotoxin levels. Supervised and unsupervised modeling will be performed to analyze the data and contamination levels. Determine hybrid performance and aflatoxin contamination in different ecoregions of Texas by evaluating kernel quality traits, hybrid phenology, yield and mycotoxin contamination in the field. Determine the relationship of kernel quality traits, and mycotoxin contamination by using kernel screening assays. Determine the relationship of weather, hyperspectral images, soil properties, hybrid performance and mycotoxin contamination from objective 1 across different ecoregions in Texas.