Literature DB >> 12825416

Darwinian agriculture: when can humans find solutions beyond the reach of natural selection?

R Ford Denison1, E Toby Kiers, Stuart A West.   

Abstract

Progress in genetic improvement of crop yield potential has slowed since 1985. Simultaneously, more sustainable management of agricultural ecosystems is needed. A better understanding of natural selection can help solve both problems. We illustrate this point with two specific examples. First, the genetic legacy of crop plants has been refined by millions of years of natural selection, often driven by competition among plants. We therefore suggest that most simple, tradeoff-free options to increase competitiveness (e.g., increased gene expression, or minor modifications of existing plant genes) have already been tested by natural selection. Further genetic improvement of crop yield potential over the next decade will mainly involve tradeoffs, either between fitness in past versus present environments, or between individual competitiveness and the collective performance of plant communities. Eventually, we may develop the ability to predict the consequences of genetic alterations so radical that they have not yet been tested by natural selection. Second, natural selection acts mainly at the level of genes, individuals, and family groups, rather than ecosystems as a whole. Consequently, there is no reason to expect the structure of natural ecosystems (diversity, spatial, or temporal patterns) to be a reliable blueprint for agricultural ecosystems. Natural ecosystems are nonetheless an important source of information that could be used to improve agriculture.

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Mesh:

Year:  2003        PMID: 12825416     DOI: 10.1086/374951

Source DB:  PubMed          Journal:  Q Rev Biol        ISSN: 0033-5770            Impact factor:   4.875


  39 in total

1.  Evidence for competition and cooperation among climbing plants.

Authors:  Jay M Biernaskie
Journal:  Proc Biol Sci       Date:  2010-12-08       Impact factor: 5.349

2.  Adaptation of crops to environment.

Authors:  O Chloupek; P Hrstkova
Journal:  Theor Appl Genet       Date:  2005-11-15       Impact factor: 5.699

3.  Multilevel selection 1: Quantitative genetics of inheritance and response to selection.

Authors:  Piter Bijma; William M Muir; Johan A M Van Arendonk
Journal:  Genetics       Date:  2006-11-16       Impact factor: 4.562

4.  Multilevel selection 2: Estimating the genetic parameters determining inheritance and response to selection.

Authors:  Piter Bijma; William M Muir; Esther D Ellen; Jason B Wolf; Johan A M Van Arendonk
Journal:  Genetics       Date:  2006-11-16       Impact factor: 4.562

5.  Genetic improvement of traits affected by interactions among individuals: Sib selection schemes.

Authors:  Esther D Ellen; William M Muir; Friedrich Teuscher; Piter Bijma
Journal:  Genetics       Date:  2007-04-03       Impact factor: 4.562

6.  Stochastic eco-evolutionary model of a prey-predator community.

Authors:  Manon Costa; Céline Hauzy; Nicolas Loeuille; Sylvie Méléard
Journal:  J Math Biol       Date:  2015-05-23       Impact factor: 2.259

7.  Evolution of microbial markets.

Authors:  Gijsbert D A Werner; Joan E Strassmann; Aniek B F Ivens; Daniel J P Engelmoer; Erik Verbruggen; David C Queller; Ronald Noë; Nancy Collins Johnson; Peter Hammerstein; E Toby Kiers
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-13       Impact factor: 11.205

8.  Inclusive fitness in agriculture.

Authors:  E Toby Kiers; R Ford Denison
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2014-03-31       Impact factor: 6.237

Review 9.  Ecological and evolutionary approaches to improving crop variety mixtures.

Authors:  Samuel E Wuest; Roland Peter; Pascal A Niklaus
Journal:  Nat Ecol Evol       Date:  2021-07-01       Impact factor: 15.460

10.  Farming plant cooperation in crops.

Authors:  Germain Montazeaud; François Rousset; Florian Fort; Cyrille Violle; Hélène Fréville; Sylvain Gandon
Journal:  Proc Biol Sci       Date:  2020-01-22       Impact factor: 5.349

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