A major challenge for crop research in the 21st century is how to predict crop performance
as a function of genetic architecture. Advances in “next generation” DNA sequencing have …

Spectral reflectance is a new, real time and non-destructive hyperspectral remote sensing
application to monitor plant water status and physiological changes. The spectral reflectance …

Main conclusion A new imaging platform was constructed to analyze drought-tolerant traits
of rice. Rice was used to quantify drought phenotypes through image-based parameters and …

Sustainable land management and land use planning require reliable information about the
spatial distribution of the physical and chemical soil properties affecting both landscape …

Temporal and spatial variability of plant available N in the humid southeastern region of the
United States often results in within-field over-and under-application of this nutrient to cotton …

A field experiment was conducted in 2001–2002 to investigate relationships between
canopy spectral reflectance and leaf area index (LAI), aboveground biomass (ABM), and lint …

The development of crop varieties with higher nitrogen use efficiency is crucial for
sustainable crop production. Combining high-throughput genotyping and phenotyping will …

Interactions between water and N may impact remote‐sensing‐based N recommendations.
The objectives of this study were to determine the influence of water and N stress on …

Pre‐plant soil NO− 3–N tests and petiole NO− 3–N analysis are bases for Upland cotton
(Gossypium hirsutum L.) N management in the western USA. Alternative approaches …

This research evaluated the factors that influenced cotton (Gossypium hirsutum L.)
producers to adopt remote sensing for variable-rate application of inputs. A logit model …