Addressing biases in replacement series: The importance of reference density selection for interpretation of competition outcomes

Authors: LEON, RAMON - North Carolina State University; OREJA, FERNANDO - North Carolina State University; Mirsky, Steven; REBERG-HORTON, CHRIS - North Carolina State University

Submitted to: Weed Science
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: 9/25/2023
Publication Date: 10/5/2023
Citation: Leon, R., Oreja, F.H., Mirsky, S.B., Reberg-Horton, C.S. 2023. Addressing biases in replacement series: The importance of reference density selection for interpretation of competition outcomes. Weed Science. 71:606–614. https://doi.org/10.1017/wsc.2023.53.
DOI: https://doi.org/10.1017/wsc.2023.53

Interpretive Summary: Researchers will often use different seeding rates as a treatment variable (i.e. replacement series) when studying how plants such as crops and weeds interact to compete for light, space, and nutrients. However, this may not be the best method because of differing plant sizes and the possibility of responses varying based on density. This study investigated the use of three other ways to represent varying population sizes of pigweed, foxtail, and corn: based on maximum biomass produced, biomass at the point of diminishing returns (inflection point), and N uptake equivalency. The model based on the biomass accumulation inflection point was the most sensitive and informative across all inter-specific mixtures. This study provides recommendations as to how to best set up future replacement series experiments, which benefits farmers by better elucidating crop-weed interactions and thus leads to the creation of the best possible best management practices.

Technical Abstract: Replacement series are used by researchers to understand how competition-related variables influence dynamics from the individual to the population and community levels, but this approach has been criticized because of inherent biases associated with plant size differences and density-dependent responses. The use of functional densities instead of demographic densities was proposed to minimize those biases. This work explored three models to determine reference densities for replacement series experiments based on 1) on maximum biomass, 2) biomass at onset of diminishing returns (i.e., inflection point), and 3) N uptake equivalency. Replacement series experiments were conducted using Amaranthus hybridus:maize and Setaria faberi:maize proportions of 1:0, 0.75:0.25, 0.5:0.5, 0.25:0.75, and 0:1. The monoculture density for each species were established according to the three models. Density selection criteria resulted in major differences in competitive interactions between species. The use of functional densities at which the biomass accumulation inflection point for the smaller species allowed both species to exhibit either increases or decreases in biomass production depending on competitive interactions for all inter-specific mixtures. Conversely, the maximum biomass model favored the larger species almost completely inhibiting the growth of the smaller species, which resulted in a poor characterization of competitive responses of the smaller species. The N uptake equivalency model resulted in interactions closer to the predicted neutral competition. The model based on the biomass accumulation inflection point was the most sensitive and informative across all inter-specific mixtures for both species. We propose that to reduce bias associated with species size differences when determining reference densities for replacement series experiments, at least two criteria must be met: 1) the experiment sensitivity allows measuring and quantifying the competitive responses for both species in all mixtures, and 2) the balance between density and carrying capacity of the system minimizes the risk or magnitude of intra-specific competition.