Plant stress detection is considered one of the most critical areas for the improvement of
crop yield in the compelling worldwide scenario, dictated by both the climate change and the …

Available evidence and predictions suggest overall negative effects on agricultural
production as a result of climate change, especially when more food is required by a …

Genomics and high throughput phenomics have the potential to revolutionize the field of
wheat (Triticum aestivum L.) breeding. Genomic selection (GS) has been used for predicting …

Prediction of breeding values is central to plant breeding and has been revolutionized by the
adoption of genomic selection (GS). Use of machine‐and deep‐learning algorithms applied …

Predicting the grain yield during early to mid-growth stages is important for initial diagnosis
of rice and quantitative regulation of topdressing. In this study, we conducted four …

There is growing interest for using Spectral Vegetation Indices (SVI) derived by Unmanned
Aerial Vehicle (UAV) imagery as a fast and cost-efficient tool for plant phenotyping. The …

Breeding, genomic, and physiological research on early growth in plants is hampered by the
lack of suitable tools for non-destructive phenotyping of the above-ground biomass of a …

Key message Chromosome regions affecting grain yield, grain yield components and plant
water status were identified and validated in fall-sown spring wheats grown under full and …

The objective of the present work was to determine the relationship between spectral
reflectance indices (SRI) and yield in spring wheat (Triticum aestivum L.) in NW Mexico in …

The rate of advancement made in phenomic-assisted breeding methodologies has lagged
those of genomic-assisted techniques, which is now a critical component of mainstream …