Improving Rice Yield Using Sensor Based Nitrogen Application and Best Management Practices (BMPs) in Rice-Soybean and Rice-Crawfish Rotational Systems
Year: 2024
Type: article
Abstract: Sustainable rice farming requires effective nutrient management and conservation practices to maintain high yields and minimize environmental impact. Implementing best management practices (BMPs) promotes lower fertilizer application rates, increased N use efficiency, improves soil health, and water quality. Demonstration fields established in two different rotational cropping systems (rice-soybean and rice-crawfish) in Kaplan, LA in 2023. In each rotation system, the benefits of BMPs (sensor based mid-season N management and cover cropping) compared to farmer’s practice (FP) were evaluated using yield, yield components, soil and water quality as metrics. The rice-soybean fields in 2023 and 2024 were both planted with PVL03 (Provisia – Horizon Ag) whereas rice-crawfish field in 2023 used CLJ01 (Clearfield Jasmine – Horizon Ag) and hybrid RT7521FP (Ricetec) in 2024. Each field contained 2-6 (3m x 15m) N-rich strips that were established at permanent flood; each N-rich strip received a total N of 224 kg ha-1. At panicle initiation normalized difference vegetative index (NDVI) was collected within and outside (represented BMPs) the N-rich strips using a GreenSeekerâ sensor. The NDVI readings were used to estimate midseason N rate wherein the average recommendation for BMP fields was 14 kg ha-1 less than FP for the main crop. Grain yield was estimated from whole plant samples taken from replicated 2-rows x 1-meter-long subsampling areas. The samples were processed for yield components and agronomic indices for N use. The significance of the difference on measured parameters between BMPs and FP was determined based on two-sample t-test at p-1 in the BMP field, while the FP field yielded 15,291 kg ha-1 with significant difference (p
Source: Civil War Book Review
Author: Darnall, Charles
Institution: Louisiana State University
Language: English
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: green
OpenAlex ID: W7057068274
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