Plant and Soil · 2021 · 254 citations · 294 references
AgricultureAgronomyPlant SciencesPlant GeneticsSoil ScienceSoil-water RelationsRhizosphere BiologyRhizosphere InteractionsRoot AnatomyRoot EcologyRoot PhenotypingRoot PhysiologyBelowground Resource AcquisitionRhizosphere FunctionRhizosphere Nutrient AvailabilityRhizosphere Nutrient ProcessesRoot Anatomical PlasticityRoot Anatomical TraitsRoot Response To Nutrient AvailabilityRoot Trait Effects
Abstract Background Suboptimal water and nutrient availability are primary constraints in global agriculture. Root anatomy plays key roles in soil resource acquisition. In this article we summarize evidence that root anatomical phenotypes present opportunities for crop breeding. Scope Root anatomical phenotypes influence soil resource acquisition by regulating the metabolic cost of soil exploration, exploitation of the rhizosphere, the penetration of hard soil domains, the axial and radial transport of water, and interactions with soil biota including mycorrhizal fungi, pathogens, insects, and the rhizosphere microbiome. For each of these topics we provide examples of anatomical phenotypes which merit attention as selection targets for crop improvement. Several cross-cutting issues are addressed including the importance of phenotypic plasticity, integrated phenotypes, C sequestration, in silico modeling, and novel methods to phenotype root anatomy including image analysis tools. Conclusions An array of anatomical phenes have substantial importance for the acquisition of water and nutrients. Substantial phenotypic variation exists in crop germplasm. New tools and methods are making it easier to phenotype root anatomy, determine its genetic control, and understand its utility for plant fitness. Root anatomical phenotypes are underutilized yet attractive breeding targets for the development of the efficient, resilient crops urgently needed in global agriculture.
294
Fiji: an open-source platform for biological-image analysis
Johannes Schindelin, Ignacio Arganda‐Carreras, Erwin Frise et al. · Nature Methods · 2012 · 70.9K citations
ImageJ2: ImageJ for the next generation of scientific image data
Curtis Rueden, Johannes Schindelin, Mark Hiner et al. · BMC Bioinformatics · 2017 · 6.2K citations · Full text
P. R. Shukla, J. Skeg, E Calvo Buendia et al. · 2019 · 3.7K citations
Soil carbon pools and world life zones
W. M. Post, William R. Emanuel, Paul J. Zinke et al. · Nature · 1982 · 2.3K citations