ReviewaBIOTECH2025
Observe natural selection by evolutionary experiments in crops.
Review in aBIOTECH, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evolutionary experiments provide a unique lens through which to observe the impacts of natural selection on crop evolution, domestication, and adaptation through empirical evidence. Enabled by modern technologies-such as the development of large-scale, structured evolving populations, high-throughput phenotyping, and genomics-driven genetics studies-the transition from theoretical evolutionary biology to practical application is now possible for staple crops. The century-long Barley Composite Cross II (CCII) competition experiment has offered invaluable insights into understanding the genomic and phenotypic basis of natural and artificial selection driven by environmental adaptation during crop evolution and domestication. These experiments enable scientists to measure evolutionary dynamics, in real time, of genetic diversity, adaptation of fitness-associated traits, and the trade-offs inherent in selective processes. Beyond advancing our understanding of evolutionary biology and agricultural practices, these studies provide critical insights into addressing global challenges, from ensuring food security to fostering resilience in human societies.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.