Abstract
Wheat was one of the first grain crops domesticated by humans and remains among the major contributors to the global calorie and protein budget. The rapidly expanding world population demands further enhancement of yield and performance of wheat. Phenotypic information has historically been instrumental in wheat breeding for improved traits. In the last two decades, a steadily growing collection of tools and imaging software have given us the ability to quantify shoot, root, and seed traits with progressively increasing accuracy and throughput. This review discusses challenges and advancements in image analysis platforms for wheat phenotyping at the organ level. Perspectives on how these collective phenotypes can inform basic research on understanding wheat physiology and breeding for wheat improvement are also provided.
Highlights
The rapid growth in world population calls for increased food production to meet the growing demand for calories
The present review focuses on the imaging tools that have enabled greater resolution of phenotypes of individual wheat plants at the organ level
We aim to provide a point of reference for researchers that are new to phenotyping of wheat plants or are interested in exploring alternative phenotyping platforms
Summary
The rapid growth in world population calls for increased food production to meet the growing demand for calories. Phenotyping wheat plants commonly involves time-consuming, manual measurements that are constrained in their throughput This is further complicated by the environmental effects on phenotypes, which necessitate replicated, multi-location trials and studies. The present review focuses on the imaging tools that have enabled greater resolution of phenotypes of individual wheat plants at the organ level This is highly relevant to fundamental research that tackles questions pertinent to wheat physiology and stress response as well as field research that can provide invaluable data for wheat breeding. We aim to provide a point of reference for researchers that are new to phenotyping of wheat plants or are interested in exploring alternative phenotyping platforms Use of these image-based tools has been and can be applied to other cereal grain crops or to crops in general
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