Simulating growth,development, and yield of tillering pearl millet: II. Simulation of canopy development |
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| Institution: | 1. International Crops Research Institute for the Semi-Arid Tropics, Patancheru 502 324, Andhra Pradesh, India;2. CSIRO Sustainable Ecosystems/Agricultural Production Systems Research Unit, 102 Tor Street, Toowoomba, Qld 4350, Australia;1. International Crops Research Institute for the Semi-Arid Tropics, Matopos Research Station, P. O. Box 776, Bulawayo, Zimbabwe;2. Plant Production Systems Group, Wageningen University, P.O. Box 430, 6700 AK, Wageningen, The Netherlands;3. Department of Environmental Science and Technology, Chinhoyi University of Technology, P. Bag 7724, Chinhoyi, Zimbabwe;1. Agronomy Group, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan 49138-15739, Iran;2. International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Hyderabad 502324, Andhra Pradesh, India;3. International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), BP 320 Bamako, Mali;1. Plant Production Systems, Wageningen University, P.O. Box 430, 6700 AK Wageningen, The Netherlands;2. Institut de l’Environment en de Recherches agricoles (INERA), Ouagadougou, Burkina Faso;3. Earth System Science and Climate Adaptive Land Management, Wageningen University, P.O. Box 47, 6700 AA Wageningen, The Netherlands;1. INRAE, Université Fédérale de Toulouse, UMR 1248 AGIR, F-31326, Castanet-Tolosan, France;2. Formerly INRA, UPR1158 Agro-Impact, site d’Estrées-Mons, F-80203, Péronne, France;3. INRAE, UAR1241 DEPE, 147 rue de l’Université, 75338, PARIS Cedex 07, France;1. CIRAD, UMR AGAP, Bobo-Dioulasso 01, Burkina Faso;2. AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France;3. International Crops Research Institute for the Semi-arid Tropics (ICRISAT), BP320, Bamako, Mali;4. Institut National de l’Environnement et de Recherches Agricoles (INERA), Burkina Faso;5. Agricultural & Biological Engineering Department, University of Florida, Gainesville, FL 32611, USA;6. Institute for Sustainable Food Systems, University of Florida, Gainesville, FL 32611, USA;7. MANOBI S.A., FM17, BP25026, Dakar Fann, Senegal;8. Agronomy Department, University of Wisconsin-Madison, 53706 WI, formerly ICRISAT, Mali;9. State Plant Breeding Institute, University of Hohenheim, 70599 Stuttgart, Germany;1. Department of Botany, Institute of Science, Banaras Hindu University, Varanasi, India;2. Texas A&M AgriLife Research and Extension Center, Texas A&M University, Uvalde, TX 78801, USA |
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| Abstract: | Tillering is an important adaptive feature of pearl millet (Pennisetum americanum L.) to the unpredictable growing conditions of dry areas of the semi-arid tropics. Yet, this feature has largely been ignored in the development of simulation models for pearl millet. The objective of this paper is to parameterise and validate a leaf area module for pearl millet, which dynamically simulates crop leaf area from the leaf area of individual axes through simulating inter-axis competition for light. To derive parameters for the model, four cultivars (contrasting in phenology and tillering habit) were grown under well-watered and well-fertilised conditions across a range of plant densities in three experiments at two locations in India. For selected plants, observations on the number of primary basal tillers and on the number of visible, fully expanded, and senesced leaves on each axis were made twice a week throughout the growing season. Occurrence of panicle initiation (PI) was observed in two experiments only, but data were complemented by published and unpublished data, obtained for comparable cultivars. Parameters were obtained for the time from emergence to PI as a function of daylength, the leaf initiation rate, the rate of leaf and tiller appearance and the leaf senescence rate; parameters for leaf size were determined in a previous paper. Our parameter estimates compared well with published data and were, with the exception of time to PI and leaf size, mostly independent of cultivar, axis and density. Genotypic effects on productive tiller number could be attributed to differences in main shoot leaf size. Validation of the leaf area module showed that the module adequately reproduced the effects of density, photoperiod and genotype on the leaf area of individual axes and on productive tiller number. This was despite the fact that the reduction in leaf area of non-productive tillers was achieved in the module through a reduction in leaf size, whereas the crop reduced leaf area through a reduction in leaf number. Our results indicate that LAI of a tillering crop can be simulated adequately by simulating LAI from individual leaf area and incorporating the effects of competition for light. |
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