Results 141 to 150 of about 78,721 (254)

Looking backward to move forward: Enhancing metadata in scientific collections through interdisciplinary collaboration

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Early modern herbaria house important and useful data on historic environments. However, their contents are often inhospitable to scientific use. Despite this challenge, once their contents have been deciphered, such specimens present novel research opportunities.
Madeline E. White, Stephen A. Harris
wiley   +1 more source

Gene turnover in the common ancestor of all C4 grasses

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Understanding how plants evolve more efficient photosynthesis is important in a warming world where improving crop productivity and resilience is a global priority. By generating the first reference genomes for an early‐diverging group of grasses called the Aristidoideae, we were able to reconstruct the genetic makeup of the last common ancestor of all
Lara Pereira   +6 more
wiley   +1 more source

Rethinking intensification: Biodiversity‐inclusive management sustains coconut yields

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Coconut palm expansion in West Africa will shape rural livelihoods and ecosystems. Our findings show that intensive practices reduce beneficial soil fungi and increase pathogens, threatening long‐term productivity. Lower‐intensity management that retains ground vegetation can sustain or boost yields while improving soil health.
Benjamin J. Roberts   +10 more
wiley   +1 more source

Large language models unlock large text corpora in the search for data on medicinal plants and fungi

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Millions of people worldwide depend on plants and fungi for their healthcare needs, yet our understanding of which species are used medicinally—and how—remains fragmented and incomplete. As part of Kew's Plants for Health service, we developed a pipeline to mine large text corpora for information on natural products, initially focusing on the medicinal
Adam Richard‐Bollans   +6 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

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