Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Potential role of kin selection in the transition from vegetative to reproductive allocation in plants

Renfei Chen, Cenxi Shi, Liang Zhang, Chengyi Tu, Jacob Weiner

Journal of Plant Ecology · 2023

Read source ↗ All evidence

Summary

This theoretical paper extends optimal reproductive allocation theory by incorporating kin selection dynamics using mathematical models. The authors demonstrate that plants subject to kin selection are more likely to exhibit abrupt rather than gradual transitions to reproduction when initial reproductive biomass ratios are elevated. The findings link life-history evolution theory to agricultural yield optimisation, suggesting potential applications for crop improvement.

UK applicability

The theoretical framework may inform breeding and agronomic strategies for UK crop production, particularly in understanding life-history trade-offs in cereals and other arable crops. However, empirical validation under UK growing conditions and economic contexts would be required to translate these predictions into practical farm management recommendations.

Key measures

Timing of transition from vegetative to reproductive allocation; abrupt versus gradual shift patterns; initial ratio of reproductive to vegetative biomass; kin selection coefficients (positive and negative)

Outcomes reported

The study used mathematical models to investigate how kin selection influences the timing of transition from vegetative growth to reproductive allocation in plants. The models predicted whether plants would shift abruptly or gradually to reproduction under different kin selection pressures and initial reproductive biomass ratios.

Theme
Farming systems, soils & land use
Subject
Arable cropping systems
Study type
Research
Study design
Theoretical modelling study with empirical observations
Source type
Peer-reviewed study
Status
Published
System type
Arable cereals
DOI
10.1093/jpe/rtad025
Catalogue ID
SNmov0hb7d-h2mut2

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.