Assessing the effects of architectural variations on light partitioning within virtual wheat-pea mixtures

Annals of Botany

Volumn 114, Issue 4, 2014, Pages 725-737

  Barillot, Romain ^a,d   Escobar Gutiérrez, Abraham J ^b   Fournier, Christian ^c   Huynh, Pierre ^a   Combes, Didier ^b  

^a LUNAM Universite   (France)

^b French Natl Inst Agr Res INRA   (France)

^c UMR 759 LEPSE   (France)

^d UMR 1402 ECOSYS   (France)

Author keywords

Architectural parameters; functional structural plant model; intercropping; L systems; LAI; light interception; pea; Pisum sativum; plant architecture; plant height; Triticum aestivum; wheat

Indexed keywords

ASSESSMENT METHOD; DEVELOPMENTAL STAGE; GEOMETRY; INTERCROPPING; INTERSPECIFIC COMPETITION; LEGUME; LIGHT EFFECT; MIXED FARMING; MORPHOGENESIS; PLANT ARCHITECTURE; RECONSTRUCTION; WHEAT;

PISUM SATIVUM; TRITICUM AESTIVUM;

ANATOMY AND HISTOLOGY; BIOLOGICAL MODEL; COMPUTER SIMULATION; GROWTH, DEVELOPMENT AND AGING; LIGHT; PEA; PLANT LEAF; RADIATION RESPONSE; WHEAT;

COMPUTER SIMULATION; LIGHT; MODELS, BIOLOGICAL; PEAS; PLANT LEAVES; TRITICUM;

EID: 84910609608     PISSN: 03057364     EISSN: 10958290     Source Type: Journal    
DOI: 10.1093/aob/mcu099     Document Type: Article

References (60)

1. Anil L, Park J, Phipps RH, Miller FA. 1998.Temperate intercropping of cereals for forage: a reviewof the potential for growth and utilization with particular reference to the UK. Grass and Forage Science 53: 301-317
2. Arumingtyas EL, Floyd RS, Gregory MJ, Murfet IC. 1992. Branching in Pisum: inheritance and allelism tests with 17 ramosus mutants. Pisum Genetics 24: 17-31
3. Ballaré CL, Casal JJ. 2000. Light signals perceived by crop and weed plants. Field Crops Research 67: 149-160
4. Barillot R, Louarn G, Escobar-Gutiérrez AJ, Huynh P, Combes D. 2011. Howgood is the turbid medium-based approach for accounting for light partitioning in contrasted grass-legume intercropping systems? Annals of Botany 108: 1013-1024
5. Barillot R, Combes D, Chevalier V, Fournier C, Escobar-Gutiérrez AJ. 2012. How does pea architecture influence light sharing in virtual wheat-pea mixtures? Asimulation study based on pea genotypes with contrasting architectures. AoB PLANTS 2012: pls038; doi: 10.1093/aobpla/pls038
6. Barillot R, Combes D, Pineau S, Huynh P, Escobar-Gutiérrez AJ. 2014. Comparison of the morphogenesis of three genotypes of pea (Pisum sativum) grown in pure stands and wheat-based intercrops. AoB PLANTS 6: plu010; doi: 10.1093/aobpla/plu010
7. Bertheloot J, Andrieu B, Fournier C, Martre P. 2009. Modelling nitrogen distribution in virtual plants, as exemplified by wheat culm during grain filling. In: Li B, Jaeger M, Guo Y eds. Third International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA), 126-133
8. Boudoon F, Pradal C, Cokelaer T, Prusinkiewicz P, Godin C. 2012. L-Py: an L-system simulation framework for modeling plant development based on a dynamic language. Frontiers in Plant Science 3: 76. doi: 10.3389/fpls.2012.00076
9. Casal JJ, Sanchez RA, Deregibus VA. 1986. The effect of plant densityon tillering: the involvement of R/FR ratio and the proportion of radiation intercepted per plant. Environmental and Experimental Botany 26: 365-371
10. Chelle M, Andrieu B. 1998. The nested radiosity model for the distribution of light within plant canopies. Ecological Modelling 111: 75-91
11. Cici SZ-H, Adkins S, Hanan J. 2008.Acanopy architectural model to study the competitive ability of chickpea with sowthistle. Annals of Botany 101: 1311-1318
12. Combes D, Chelle M, Sinoquet H, Varlet-Grancher C. 2008. Evaluation of a turbid medium model to simulate light interception by walnut trees (hybrid NG38 RA and Juglans regia) and sorghum canopies (Sorghum bicolor) at three spatial scales. Functional Plant Biology 35: 823-836
13. Corre-Hellou G, Fustec J, Crozat Y. 2006. Interspecific competition for soil N and its interaction with N2 fixation, leaf expansion and crop growth in pea-barley intercrops. Plant and Soil 282: 195-208
14. Corre-Hellou G, Faure M, Launay M, Brisson N, Crozat Y. 2009. Adaptation of the STICSintercrop model to simulate crop growth andNaccumulation in pea-barley intercrops. Field Crops Research 113: 72-81
15. DeJong TM, Da Silva D, Vos J, Escobar-Gutiérrez AJ. 2011. Using functional-structural plant models to study, understand and integrate plant development and ecophysiology. Annals of Botany 108: 987-989
16. Evenson RE. 2003. Assessing the impact of the GreenRevolution, 1960 to 2000. Science 300: 758-762
17. Evers JB, van der Krol AR, Vos J, Struik PC. 2011. Understanding shoot branching by modelling form and function. Trends in Plant Science 16: 464-467
18. Faurie O, Soussana JF, Sinoquet H. 1996. Radiation interception, partitioning and use in grass-clover mixtures. Annals of Botany 77: 35-46
19. Fourcaud T, Zhang X, Stokes A, Lambers H, Körner C. 2008. Plant growth modelling and applications: the increasing importance of plant architecture in growth models. Annals of Botany 101: 1053-1063
20. Fournier C, Andrieu B, Ljutovac S, Saint-Jean S. 2003. ADEL-wheat: a 3D architectural model of wheat development. In: Hu B-G, Jaeger M eds. Proceedings PMA03: 2003 International Symposium on Plant Growth Modeling, Simulation, Visualization and their Applications. Beijing, China: IEEE Computer Society, 54-63
21. Godin C. 2000. Representing and encoding plant architecture: a review. Annals of Forest Science 57: 413-438
22. Godin C, Costes E, Sinoquet H. 1999. A method for describing plant architecture which integrates topology and geometry. Annals of Botany 84: 343-357
23. Gray A. 1849.Onthe composition of the plant by phytons, and some applications of phyllotaxis. Proceedings of the American Association for the Advancement of Science 438-444
24. Hedden P. 2003. The genes of the GreenRevolution. Trends in Genetics 19: 5-9
25. Huyghe C. 1998. Genetics and genetic modifications of plant architecture in grain legumes: a review. Agronomie 18: 383-411
26. Jensen ES. 1996. Grain yield, symbiotic N2 fixation and interspecific competition for inorganic N in pea-barley intercrops. Plant and Soil 182: 25-38
27. Jeudy C, Munier-Jolain N. 2005. Developpement des ramifications. In: Munier-Jolain N, Biarnes V, Chaillet I, Lecoeur J, Jeuffroy M-H eds. Agrophysiologie du pois protéagineux. Paris: INRA-Quae, 51-58
28. Keating BA, Carberry PS. 1993. Resource capture and use in intercropping: solar radiation. Field Crops Research 34: 273-301
29. Kusnadi J, Gregory M, Murfet IC, Ross JJ, Bourne F. 1992. Internode length in Pisum: phenotypic characterisation and genetic identity of the short internode mutant Wt11242. Pisum Genetics 24: 64-74
30. Lamanda N, Dauzat J, Jourdan C, Martin P, Malézieux E. 2008. Using 3D architectural models to assess light availability and root bulkiness in coconut agroforestry systems. Agroforestry Systems 72: 63-74
31. Lantinga EA, Nassiri M, Kropff MJ. 1999. Modelling and measuring vertical light absorption within grass-clover mixtures. Agricultural and Forest Meteorology 96: 71-83
32. Lecoeur J. 2005. Developpement vegetatif. In: Munier-Jolain N, Biarnes V, Chaillet I, Lecoeur J, Jeuffroy M-H eds. Agrophysiologie du pois protéagineux. Paris: INRA-Quae, 27-45
33. Lemerle D, Gill GS, Murphy CE, et al. 2001. Genetic improvement and agronomy for enhanced wheat competitiveness withweeds. Australian Journal of Agricultural Research 52: 527-548
34. Lindenmayer A. 1968. Mathematical models for cellular interactions in development I. Filaments with one-sided inputs. Journal of Theoretical Biology 18: 280-299
35. Louarn G, Corre-Hellou G, Fustec J, et al. 2010. Déterminants écologiques et physiologiques de la productivité et de la stabilité des associations graminées-légumineuses. Innovations Agronomiques 11: 79-99
36. Louarn G, Da Silva D, Godin C, Combes D. 2012. Simple envelope-based reconstruction methods can infer light partitioning among individual plants in sparse and dense herbaceous canopies. Agricultural and Forest Meteorology 166-167: 98-112
37. Malézieux E, Crozat Y, Dupraz C, et al. 2009. Mixing plant species in cropping systems: concepts, tools and models. A review. Agronomy for Sustainable Development 29: 43-62
38. Monsi M, Saeki T. 2005. On the factor light in plant communities and its importance for matter production. Annals of Botany 95: 549-567
39. Moon P, Spencer DE. 1942. Illumination from a non-uniform sky. Illuminating Engineering 37: 707-726
40. Moulia B, Edelin C, Jeuffroy MH, Allirand JM, Loup C, Chartier M. 1998. Premiers éléments d'analyse du développement architectural des herbacées cultivées. In: Maillard P, Bonhomme R eds. Fonctionnement des peuplements végétaux sous contraintes environnementales. Paris: INRA, 149-184
41. Noordwijk M, Lusiana B. 1999. WaNuLCAS, a model of water, nutrient and light capture in agroforestry systems. In: Auclair D, Dupraz C eds. Agroforestry for Sustainable Land-Use Fundamental Research and Modelling with Emphasis on Temperate and Mediterranean Applications. Netherlands: Springer, 217-242
42. Ofori F, Stern WR. 1987. Cereal-legume intercropping systems. Advances in Agronomy 41: 41-90
43. Pradal C, Dufour-Kowalski S, Boudon F, Fournier C, Godin C. 2008. OpenAlea: a visual programming and component-based software platform for plant modelling. Functional Plant Biology 35: 751-760
44. Pradal C, Boudon F, Nouguier C, Chopard J, Godin C. 2009. PlantGL: a Python-based geometric library for 3D plant modelling at different scales. Graphical Models 71: 1-21
45. Prusinkiewicz P. 1998. Modeling of spatial structure and development of plants: a review. Scientia Horticulturae 74: 113-149
46. Prusinkiewicz P, Lindenmayer A. 1990. The algorithmic beauty of plants. New-York: Springer
47. Ross J. 1981a. Role of phytometric investigations in the studies of plant stand architecture and radiation regime. In: Ross J. ed. The radiation regime and architecture of plant stands. The Hague: DrWJunk, 9-11
48. Ross J. 1981b. Spatial distribution of phytoelements in stands. In: Ross J. ed. The radiation regime and architecture of plant stands. The Hague: DrWJunk, 66-89
49. Sarlikioti V, de Visser PHB, Marcelis LFM. 2011. Exploring the spatial distribution of light interception and photosynthesis of canopies by means of a functional-structural plant model. Annals of Botany 107: 875-883
50. Sinoquet H, Caldwell MM. 1995. Estimation of light capture and partitioning in intercropping systems. In: Sinoquet H, Cruz P eds. Ecophysiology of tropical intercropping. Paris: INRA, 79-97
51. Sinoquet H, Moulia B, Gastal F, Bonhomme R, Varlet-Grancher C. 1990. Modeling the radiative balance of the components of a well-mixed canopy: application to a white clover-Tall fescue mixture. Acta Oecologica 11: 469-486
52. Sonohat G, Sinoquet H, Varlet-Grancher C, et al. 2002. Leaf dispersion and light partitioning in three-dimensionally digitized tall fescue-white clover mixtures. Plant, Cell and Environment 25: 529-538
53. Spies JM, Warkentin T, Shirtliffe S. 2010. Basal branching in field peacultivars and yield-density relationships. Canadian Journal of Plant Science 90: 679-690
54. Tsubo M, Walker S. 2002. A model of radiation interception and use by a maize-bean intercrop canopy. Agricultural and Forest Meteorology 110: 203-215
55. Tsubo M, Walker S, Ogindo HO. 2005. A simulation model of cereal-legume intercropping systems for semi-Arid regions: I. Model development. Field Crops Research 93: 10-22
56. Turc O, Lecoeur J. 1997. Leaf primordium initiation and expanded leaf production are co-ordinated through similar response to air temperature in pea (Pisum sativum L). Annals of Botany 80: 265-273
57. Vos J, Evers JB, Buck-Sorlin GH, Andrieu B, ChelleM, de VisserPHB. 2010. Functional-structural plant modelling: a new versatile tool in crop science. Journal of Experimental Botany 61: 2101-2115
58. White J. 1979. The plant as a metapopulation. Annual Review of Ecology and Systematics 10: 109-145
59. Willey RW. 1979. Intercropping-its importance and research needs. Part 1. Competition and yield advantages. Field Crop Abstracts 32: 1-10
60. Yin X, Goudriaan J, Lantinga EA, Vos J, Spiertz HJ. 2003.Aflexible sigmoid function of determinate growth. Annals of Botany 91: 361-371