Tragedies and Crops: Understanding Natural Selection To Improve Cropping Systems.

Plant communities with traits that would maximize community performance can be invaded by plants that invest extra in acquiring resources at the expense of others, lowering the overall community performance, a so-called tragedy of the commons (TOC). By contrast, maximum community performance is usually the objective in agriculture. We first give an overview of the occurrence of TOCs in plants, and explore the extent to which past crop breeding has led to trait values that go against an unwanted TOC. We then show how linking evolutionary game theory (EGT) with mechanistic knowledge of the physiological processes that drive trait expression and the ecological aspects of biotic interactions in agro-ecosystems might contribute to increasing crop yields and resource-use efficiency.

[1]  P. Vermeulen On selection for flowering time plasticity in response to density. , 2015, The New phytologist.

[2]  F. Schieving,et al.  Carbon gain in a multispecies canopy: the role of specific leaf area and photosynthetic nitrogen‐use efficiency in the tragedy of the commons , 1999 .

[3]  Shiori Yabe,et al.  Potential of Genomic Selection for Mass Selection Breeding in Annual Allogamous Crops , 2013 .

[4]  G. Khush Green revolution: preparing for the 21st century. , 1999, Genome.

[5]  J. S. GALE,et al.  Logic of animal conflict , 1975, Nature.

[6]  C. Farrior Competitive optimization models, attempting to understand the diversity of life. , 2014, The New phytologist.

[7]  Rita H. Mumm,et al.  Molecular Plant Breeding as the Foundation for 21st Century Crop Improvement1 , 2008, Plant Physiology.

[8]  R. Percy,et al.  HIGH YIELDS IN ADVANCED LINES OF PIMA COTTON ARE ASSOCIATED WITH HIGHER STOMATAL CONDUCTANCE, REDUCED LEAF AREA AND LOWER LEAF TEMPERATURE , 1994 .

[9]  S. Pacala,et al.  Evolutionarily Stable Strategy Carbon Allocation to Foliage, Wood, and Fine Roots in Trees Competing for Light and Nitrogen: An Analytically Tractable, Individual-Based Model and Quantitative Comparisons to Data , 2011, The American Naturalist.

[10]  Da‐Yong Zhang,et al.  Donald’s Ideotype and Growth Redundancy: A Pot Experimental Test Using an Old and a Modern Spring Wheat Cultivar , 2013, PloS one.

[11]  S. Levin,et al.  Competition for Water and Light in Closed-Canopy Forests: A Tractable Model of Carbon Allocation with Implications for Carbon Sinks , 2013, The American Naturalist.

[12]  S. Pacala,et al.  Increased forest carbon storage with increased atmospheric CO2 despite nitrogen limitation: a game‐theoretic allocation model for trees in competition for nitrogen and light , 2015, Global change biology.

[13]  R. Pierik,et al.  From shade avoidance responses to plant performance at vegetation level: using virtual plant modelling as a tool. , 2014, The New phytologist.

[14]  M. Westoby,et al.  Plant height and evolutionary games , 2003 .

[15]  T. Dueck,et al.  Can a high red: Far red ratio replace temperature-induced inflorescence development in Phalaenopsis? , 2016 .

[16]  Thomas J. Givnish,et al.  On the Adaptive Significance of Leaf Height in Forest Herbs , 1982, The American Naturalist.

[17]  Janis Antonovics,et al.  Parasite–grass–forb interactions and rock–paper– scissor dynamics: predicting the effects of the parasitic plant Rhinanthus minor on host plant communities , 2009 .

[18]  S. West,et al.  Sanctions and mutualism stability: why do rhizobia fix nitrogen? , 2002, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[19]  N. Anten Evolutionarily stable leaf area production in plant populations. , 2002, Journal of theoretical biology.

[20]  E. Kiers,et al.  Sanctions, Cooperation, and the Stability of Plant-Rhizosphere Mutualisms , 2008 .

[21]  C. Donald The breeding of crop ideotypes , 1968, Euphytica.

[22]  M. Sabelis,et al.  Cry-wolf signals emerging from coevolutionary feedbacks in a tritrophic system , 2015, Proceedings of the Royal Society B: Biological Sciences.

[23]  Joel s. Brown,et al.  Tragedy of the commons as a result of root competition , 2001 .

[24]  T. Sinclair,et al.  Physiological phenotyping of plants for crop improvement. , 2015, Trends in plant science.

[25]  J. Lynch,et al.  Evolution of US maize (Zea mays L.) root architectural and anatomical phenes over the past 100 years corresponds to increased tolerance of nitrogen stress , 2015, Journal of experimental botany.

[26]  A. Gardner,et al.  A BIOLOGICAL MARKET ANALYSIS OF THE PLANT‐MYCORRHIZAL SYMBIOSIS , 2014, Evolution; international journal of organic evolution.

[27]  Yoh Iwasa,et al.  Tragedy of the commons in plant water use , 2006 .

[28]  Joel s. Brown,et al.  Root proliferation and seed yield in response to spatial heterogeneity of below-ground competition. , 2005, The New phytologist.

[29]  Ignacio Rodriguez-Iturbe,et al.  Decreased water limitation under elevated CO2 amplifies potential for forest carbon sinks , 2015, Proceedings of the National Academy of Sciences.

[30]  Ulrich Schurr,et al.  Future scenarios for plant phenotyping. , 2013, Annual review of plant biology.

[31]  Joel s. Brown,et al.  Games roots play: effects of soil volume and nutrients , 2008 .

[32]  H. Bais,et al.  Root exudates mediate kin recognition in plants , 2010, Communicative & integrative biology.

[33]  Hanna Kokko,et al.  The tragedy of the commons in evolutionary biology. , 2007, Trends in ecology & evolution.

[34]  José Crossa,et al.  High-throughput phenotyping and genomic selection: the frontiers of crop breeding converge. , 2012, Journal of integrative plant biology.

[35]  E. Kiers,et al.  Human selection and the relaxation of legume defences against ineffective rhizobia , 2007, Proceedings of the Royal Society B: Biological Sciences.

[36]  T. Döring,et al.  Evolutionary Plant Breeding in Cereals—Into a New Era , 2011 .

[37]  R. Denison Past evolutionary tradeoffs represent opportunities for crop genetic improvement and increased human lifespan , 2010, Evolutionary applications.

[38]  F. Stuart Chapin,et al.  Shifts and disruptions in resource-use trait syndromes during the evolution of herbaceous crops , 2014, Proceedings of the Royal Society B: Biological Sciences.

[39]  C. Ballaré,et al.  Light regulation of plant defense. , 2014, Annual review of plant biology.

[40]  H. Griepentrog,et al.  Evolutionary Agroecology: the potential for cooperative, high density, weed-suppressing cereals , 2010, Evolutionary applications.

[41]  Tadaki Hirose,et al.  Leaf angle as a strategy for light competition: Optimal and evolutionarily stable light-extinction coefficient within a leaf canopy , 1997 .

[42]  I. Vänninen,et al.  In the light of new greenhouse technologies: 1. Plant‐mediated effects of artificial lighting on arthropods and tritrophic interactions , 2010 .

[43]  T. Kawecki Age and size at maturity in a patchy environment: fitness maximization versus evolutionary stability , 1993 .

[44]  J. Araus,et al.  Field high-throughput phenotyping: the new crop breeding frontier. , 2014, Trends in plant science.

[45]  Xinyou Yin,et al.  Modelling the crop: from system dynamics to systems biology. , 2010, Journal of experimental botany.

[46]  Da‐Yong Zhang,et al.  Donald's ideotype and growth redundancy: a game theoretical analysis , 1999 .

[47]  J. M. Smith,et al.  The Logic of Animal Conflict , 1973, Nature.

[48]  Mycorrhizal responsiveness trends in annual crop plants and their wild relatives—a meta-analysis on studies from 1981 to 2010 , 2012, Plant and Soil.

[49]  N. Anten,et al.  Whole-canopy carbon gain as a result of selection on individual performance of ten genotypes of a clonal plant , 2013, Oecologia.

[50]  Understanding the impact of plant competition on the coupling between vegetation and the atmosphere , 2015 .

[51]  T. Vincent,et al.  Evolutionary Game Theory, Natural Selection, and Darwinian Dynamics , 2005 .

[52]  Junfei Gu,et al.  Linking ecophysiological modelling with quantitative genetics to support marker-assisted crop design for improved yields of rice (Oryza sativa) under drought stress. , 2014, Annals of botany.

[53]  C. Violle,et al.  Plant domestication through an ecological lens. , 2015, Trends in ecology & evolution.

[54]  R. Ford Denison,et al.  Darwinian Agriculture: When Can Humans Find Solutions Beyond The Reach of Natural Selection? , 2003, The Quarterly Review of Biology.

[55]  K. Hikosaka,et al.  An evolutionary game of leaf dynamics and its consequences for canopy structure , 2012 .

[56]  C. Ballaré,et al.  Ecological modulation of plant defense via phytochrome control of jasmonate sensitivity , 2009, Proceedings of the National Academy of Sciences.

[57]  G. Hardin,et al.  The Tragedy of the Commons , 1968, Green Planet Blues.

[58]  R. Pierik,et al.  Shade avoidance: phytochrome signalling and other aboveground neighbour detection cues. , 2014, Journal of experimental botany.

[59]  Fengmin Li,et al.  The relationship between competitive ability and yield stability in an old and a modern winter wheat cultivar , 2011, Plant and Soil.

[60]  K. Heath,et al.  Long‐term nitrogen addition causes the evolution of less‐cooperative mutualists , 2015, Evolution; international journal of organic evolution.

[61]  Ulrich Schurr,et al.  Phenotyping in the fields: dissecting the genetics of quantitative traits and digital farming. , 2015, The New phytologist.

[62]  Root plasticity maintains growth of temperate grassland species under pulsed water supply , 2013, Plant and Soil.

[63]  P. Caligari,et al.  Selection Methods in Plant Breeding , 1995, Springer Netherlands.

[64]  T. Fagerström,et al.  Competition, defense and games between plants , 1991, Behavioral Ecology and Sociobiology.

[65]  Marloes P. van Loon,et al.  How light competition between plants affects their response to climate change. , 2014, The New phytologist.

[66]  W. Brand,et al.  Optimisation of photosynthetic carbon gain and within-canopy gradients of associated foliar traits for Amazon forest trees , 2010 .

[67]  John F. McDonald,et al.  The Molecular Basis of Adaptation: A Critical Review of Relevant Ideas and Observations , 1983 .

[68]  G. McNickle,et al.  Game theory and plant ecology. , 2013, Ecology letters.

[69]  H. de Kroon,et al.  Effects of rooting volume and nutrient availability as an alternative explanation for root self/non‐self discrimination , 2007 .

[70]  E. Oerke Crop losses to pests , 2005, The Journal of Agricultural Science.

[71]  Joel s. Brown,et al.  An ideal free distribution explains the root production of plants that do not engage in a tragedy of the commons game , 2014 .

[72]  H. Kroon,et al.  Corrections for rooting volume and plant size reveal negative effects of neighbour presence on root allocation in pea , 2015 .

[73]  Peter Hammerstein,et al.  Game Theory in the Ecological Context , 1983 .

[74]  M. Babadoost,et al.  Effect of Red Light Treatment of Seedlings of Pepper, Pumpkin, and Tomato on the Occurrence of Phytophthora Damping-off , 2002 .

[75]  N. Anten,et al.  Detect thy neighbor: identity recognition at the root level in plants. , 2012, Plant science : an international journal of experimental plant biology.

[76]  D. J. James,et al.  Modification of gibberellin biosynthesis in the grafted apple scion allows control of tree height independent of the rootstock. , 2005, Plant biotechnology journal.

[77]  S. Palmroth,et al.  How eco-evolutionary principles can guide tree breeding and tree biotechnology for enhanced productivity. , 2014, Tree physiology.

[78]  G. McNickle,et al.  Plants Integrate Information About Nutrients and Neighbors , 2010, Science.

[79]  E. Kiers,et al.  Inclusive fitness in agriculture , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.

[80]  D. Duvick,et al.  Post–Green Revolution Trends in Yield Potential of Temperate Maize in the North‐Central United States , 1999 .

[81]  Ariel Novoplansky,et al.  Physiologically mediated self/non-self discrimination in roots. , 2004, Proceedings of the National Academy of Sciences of the United States of America.