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This open access book highlights concepts discussed at two
international conferences that brought together world-renowned
scientists to advance the science of potassium (K) recommendations
for crops. There was general agreement that the potassium
recommendations currently in general use are oversimplified,
outdated, and jeopardize soil, plant, and human health.
Accordingly, this book puts forward a significantly expanded K
cycle that more accurately depicts K inputs, losses and
transformations in soils. This new cycle serves as both the
conceptual basis for the scientific discussions in this book and a
framework upon which to build future improvements. Previously used
approaches are critically reviewed and assessed, not only for their
relevance to future enhancements, but also for their use as metrics
of sustainability. An initial effort is made to link K nutrition in
crops and K nutrition in humans. The book offers an invaluable
asset for graduate students, educators, industry scientists, data
scientists, and advanced agronomists.
This open access book highlights concepts discussed at two
international conferences that brought together world-renowned
scientists to advance the science of potassium (K) recommendations
for crops. There was general agreement that the potassium
recommendations currently in general use are oversimplified,
outdated, and jeopardize soil, plant, and human health.
Accordingly, this book puts forward a significantly expanded K
cycle that more accurately depicts K inputs, losses and
transformations in soils. This new cycle serves as both the
conceptual basis for the scientific discussions in this book and a
framework upon which to build future improvements. Previously used
approaches are critically reviewed and assessed, not only for their
relevance to future enhancements, but also for their use as metrics
of sustainability. An initial effort is made to link K nutrition in
crops and K nutrition in humans. The book offers an invaluable
asset for graduate students, educators, industry scientists, data
scientists, and advanced agronomists.
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