Immediate detection and prediction tools for interactive stresses are essential to avoid yield losses. This study investigated the capability of hyperspectral (HSI) and chlorophyll fluorescence imaging (CFI) to characterize individual and interactive frost (−4 ◦C) and drought (40% soil moisture content) stress responses at the booting stage of wheat under controlled environmental conditions. Spectral indices and enzyme activities showed a strong correlation in determining yield losses. Hence, HSI and CFI techniques successfully detected combined frost and drought stresses for rapid quantification.
Nitrogen (N) remobilization is a critical process that provides substantial N to winter wheat grains for improving yield productivity. However, our understanding on the N remobilization efficiency (NRE) is still limited due to the lack of efficient, repeatable approaches for evaluating the NRE. In this study, we provided a proof of concept for estimating N concentration and assessing N remobilization using hyperspectral data of individual organs, which offers a non-chemical and low-cost approach to screen germplasms for an optimal NRE in drought-resistance breeding.
Predicting micronutrients in wheat kernel and flour using hyperspectral imaging. The prediction of micronutrients was superior based on the kernel spectra compared to the use of flour spectra. The Ca, Mg, Mo and Zn nutrients in wheat kernel/flour were predicted with a high credibility.
The QTL *qhir8* affecting in vivo haploid induction in maize was mapped to a 789 kb region, embryo abortion rate and segregation ratios were analyzed, linkage markers for MAS were developed.