Evaluating crop nitrogen status in maize leaves: A predictive modelling approach using chlorophyll fluorescence parameters.

ABSTRACT: The consumption of chemical fertilizers has increased eight-fold since the 19th century, outstripping crop yields increases and, emphasizing the need for precise nitrogen (N) assessment in crops to optimize fertilization and mitigate environmental impacts. This study developed a model using chlorophyll fluorescence technology to accurately evaluate the N status in maize leaves while addressing the limitations of current labor-intensive and environmentally sensitive methods. Based on a long-term experiment initiated in 2011, maize hybrid Fumin 985 was sampled in 2021 and 2022 under two crop-straw management strategies (SM: no tillage with surface straw mulch, SP: plough tillage with straw incorporation) and six N application rates. Partial least squares regression (PLSR) models were formula

SUBMITTER: Meng X 

PROVIDER: S-EPMC11532872 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature