Genetic and environmental dissection of biomass accumulation in multi-genotype maize canopies

A revised Monteith equation allows better dissection of environmental vs genetic controls of light interception and use efficiency in canopies and evaluation of bias associated with inter-genotypic competition and canopy heterogeneity.

[1]  David R. Swanson,et al.  Image Harvest: an open-source platform for high-throughput plant image processing and analysis , 2016, Journal of experimental botany.

[2]  F. Tardieu,et al.  Genetic and Physiological Controls of Growth under Water Deficit1 , 2014, Plant Physiology.

[3]  Ryan F. McCormick,et al.  3D Sorghum Reconstructions from Depth Images Identify QTL Regulating Shoot Architecture1[OPEN] , 2016, Plant Physiology.

[4]  M. Bartelheimer,et al.  Interspecific Competition in Arabidopsis thaliana : A Knowledge Gap Is Starting to Close , 2015 .

[5]  Joshua S Yuan,et al.  Redesigning photosynthesis to sustainably meet global food and bioenergy demand , 2015, Proceedings of the National Academy of Sciences.

[6]  M. G. Salas Fernandez,et al.  Differential manipulation of leaf angle throughout the canopy: current status and prospects , 2017, Journal of experimental botany.

[7]  Kiriakos N. Kutulakos,et al.  A Theory of Shape by Space Carving , 2000, International Journal of Computer Vision.

[8]  Graeme L. Hammer,et al.  Connecting Biochemical Photosynthesis Models with Crop Models to Support Crop Improvement , 2016, Front. Plant Sci..

[9]  M. Tester,et al.  Image-based phenotyping for non-destructive screening of different salinity tolerance traits in rice , 2014, Rice.

[10]  C. Fournier,et al.  High-throughput estimation of incident light, light interception and radiation-use efficiency of thousands of plants in a phenotyping platform. , 2015, The New phytologist.

[11]  Hervé Sinoquet,et al.  RATP: a model for simulating the spatial distribution of radiation absorption, transpiration and photosynthesis within canopies: application to an isolated tree crown , 2001 .

[12]  Gerhard Buck-Sorlin,et al.  What is the most prominent factor limiting photosynthesis in different layers of a greenhouse cucumber canopy? , 2014, Annals of botany.

[13]  V. Allard,et al.  Acclimation of Leaf Nitrogen to Vertical Light Gradient at Anthesis in Wheat Is a Whole-Plant Process That Scales with the Size of the Canopy1[W][OA] , 2012, Plant Physiology.

[14]  Joseph R. Stinziano,et al.  The rapid A-Ci response: photosynthesis in the phenomic era. , 2017, Plant, cell & environment.

[15]  D. Lobell,et al.  Climate Trends and Global Crop Production Since 1980 , 2011, Science.

[16]  Patrick Valduriez,et al.  OpenAlea: scientific workflows combining data analysis and simulation , 2015, SSDBM.

[17]  Tetsukazu Yahara,et al.  Trade‐off between light interception efficiency and light use efficiency: implications for species coexistence in one‐sided light competition , 2014 .

[18]  James W. Jones,et al.  Uncertainty in Simulating Wheat Yields Under Climate Change , 2013 .

[19]  Jean-Benoît Morel,et al.  The genetics underlying natural variation of plant-plant interactions, a beloved but forgotten member of the family of biotic interactions. , 2018, The Plant journal : for cell and molecular biology.

[20]  M. Hannah,et al.  Light Interception and Photosynthetic Efficiency in Some Glasshouse Crops , 1992 .

[21]  M. Tester,et al.  Quantifying the three main components of salinity tolerance in cereals. , 2009, Plant, cell & environment.

[22]  Peter J. Bradbury,et al.  The Genetic Architecture of Maize Flowering Time , 2009, Science.

[23]  J. Locke,et al.  Developmental mechanisms underlying variable, invariant and plastic phenotypes. , 2016, Annals of botany.

[24]  Johanna Schmitt,et al.  A Test of the Adaptive Plasticity Hypothesis Using Transgenic and Mutant Plants Disabled in Phytochrome-Mediated Elongation Responses to Neighbors , 1995, The American Naturalist.

[25]  Emilie J. Millet,et al.  Phenomics allows identification of genomic regions affecting maize stomatal conductance with conditional effects of water deficit and evaporative demand. , 2018, Plant, cell & environment.

[26]  O. Martin,et al.  A Large Maize (Zea mays L.) SNP Genotyping Array: Development and Germplasm Genotyping, and Genetic Mapping to Compare with the B73 Reference Genome , 2011, PloS one.

[27]  H. Stützel,et al.  High temperature and vapor pressure deficit aggravate architectural effects but ameliorate non-architectural effects of salinity on dry mass production of tomato , 2015, Front. Plant Sci..

[28]  James W. Jones,et al.  Multimodel ensembles of wheat growth: many models are better than one , 2015, Global change biology.

[29]  Xin-Guang Zhu,et al.  Improving photosynthetic efficiency for greater yield. , 2010, Annual review of plant biology.

[30]  R. Furbank,et al.  Achieving yield gains in wheat. , 2012, Plant, cell & environment.

[31]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.

[32]  Emmanuelle Gouillart,et al.  scikit-image: image processing in Python , 2014, PeerJ.

[33]  M. E. Otegui,et al.  Heat Stress in Field-Grown Maize: Response of Physiological Determinants of Grain Yield , 2010 .

[34]  Patrick Valduriez,et al.  InfraPhenoGrid: A scientific workflow infrastructure for plant phenomics on the Grid , 2017, Future Gener. Comput. Syst..

[35]  François Tardieu,et al.  Ovary Apical Abortion under Water Deficit Is Caused by Changes in Sequential Development of Ovaries and in Silk Growth Rate in Maize1[OPEN] , 2015, Plant Physiology.

[36]  B. Andrieu,et al.  Relative contributions of light interception and radiation use efficiency to the reduction of maize productivity under cold temperatures. , 2008, Functional plant biology : FPB.

[37]  Dany Moualeu-Ngangué,et al.  A new method to estimate photosynthetic parameters through net assimilation rate-intercellular space CO2 concentration (A-Ci ) curve and chlorophyll fluorescence measurements. , 2017, The New phytologist.

[38]  François Tardieu,et al.  The growth of vegetative and reproductive structures (leaves and silks) respond similarly to hydraulic cues in maize. , 2016, The New phytologist.

[39]  F. Tardieu,et al.  Dissection and modelling of abiotic stress tolerance in plants. , 2010, Current opinion in plant biology.

[40]  F. Tardieu,et al.  The Physiological Basis of Drought Tolerance in Crop Plants: A Scenario-Dependent Probabilistic Approach. , 2018, Annual review of plant biology.

[41]  Elizabeth A. Ainsworth,et al.  Has photosynthetic capacity increased with 80 years of soybean breeding? An examination of historical soybean cultivars. , 2016, Plant, cell & environment.

[42]  Jules Bayala,et al.  Field-scale modeling of tree-crop interactions: Challenges and development needs , 2016 .

[43]  Christian Körner,et al.  Moving beyond photosynthesis: from carbon source to sink-driven vegetation modeling. , 2014, The New phytologist.

[44]  J. Weiner,et al.  Evolutionary agroecology: individual fitness and population yield in wheat (Triticum aestivum). , 2017, Ecology.

[45]  Thomas Meitinger,et al.  A powerful tool for genome analysis in maize: development and evaluation of the high density 600 k SNP genotyping array , 2014, BMC Genomics.

[46]  C. Fournier,et al.  OpenAlea: a visual programming and component-based software platform for plant modelling. , 2008, Functional plant biology : FPB.

[47]  Amede Tilahun Yield Gain and Risk Minimization in Maize (Zea Mays) through Cultivar Mixtures in Semi-arid Zones of the Rift Valley in Ethiopia , 1995, Experimental Agriculture.

[48]  Alex Zelinsky,et al.  Learning OpenCV---Computer Vision with the OpenCV Library (Bradski, G.R. et al.; 2008)[On the Shelf] , 2009, IEEE Robotics & Automation Magazine.

[49]  J. Lenné,et al.  Varietal mixtures: a viable strategy for sustainable productivity in subsistence agriculture , 1996 .

[50]  S. Paillard,et al.  Quantitative plant resistance in cultivar mixtures: wheat yellow rust as a modeling case study. , 2013, The New phytologist.

[51]  Emilie J. Millet,et al.  Genome-Wide Analysis of Yield in Europe: Allelic Effects Vary with Drought and Heat Scenarios. , 2016, Plant physiology.

[52]  Hartmut Stützel,et al.  Quantification of the effects of architectural traits on dry mass production and light interception of tomato canopy under different temperature regimes using a dynamic functional–structural plant model , 2014, Journal of experimental botany.

[53]  Olivier Strauss,et al.  A robot-assisted imaging pipeline for tracking the growths of maize ear and silks in a high-throughput phenotyping platform , 2017, Plant Methods.

[54]  Michael P. Pound,et al.  Automated Recovery of Three-Dimensional Models of Plant Shoots from Multiple Color Images1[C][W][OPEN] , 2014, Plant Physiology.

[55]  F. Tardieu,et al.  Temperature responses of developmental processes have not been affected by breeding in different ecological areas for 17 crop species. , 2012, The New phytologist.

[56]  B. Andrieu,et al.  Light interception of contrasting azimuth canopies under square and rectangular plant spatial distributions: simulations and crop measurements , 2001 .

[57]  T. Pridmore,et al.  Plant Phenomics, From Sensors to Knowledge , 2017, Current Biology.

[58]  J. Monteith Climate and the efficiency of crop production in Britain , 1977 .

[59]  F. Baret,et al.  Estimating wheat green area index from ground-based LiDAR measurement using a 3D canopy structure model , 2017 .

[60]  Rebecca A. Slattery,et al.  A meta-analysis of responses of canopy photosynthetic conversion efficiency to environmental factors reveals major causes of yield gap , 2013, Journal of experimental botany.