ReviewNature genetics2026
Crop legacies as genetic targets for sustainable farming systems.
Review in Nature genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Food production must rise while its environmental footprint falls, an imperative sharpened by pressure to use fewer external inputs. Meeting this challenge requires gains from aspects that crop breeding has so far overlooked. One such source is the soil, because every crop transforms the environment in which it grows, shaping the conditions experienced by the next crop. We propose that these legacy effects, expressed through altered soil nutrients, water, structure and microbial communities, could offer new breeding targets. Many traits that modulate these effects vary within major crop species, and this variation is heritable and therefore selectable. We advocate breeding for farming systems to exploit this untapped genetic dimension. We outline the mechanisms underpinning this relationship, the frameworks needed to quantify it and the practical challenges of integrating legacy-aware selection into breeding pipelines. Every crop leaves a legacy, and understanding this provides a pathway to a more sustainable agricultural future.
Indexed as
Identifiers
42749922What 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.