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Volume 105, Issue 3 p. 563-572
Biometry, Modeling & Statistics

Simulating the Nutritive Value of Timothy Summer Regrowth

Qi Jing

Qi Jing

Soils and Crops Research and Development Centre, Agriculture and Agri-Food Canada, 2560 Hochelaga Boulevard, Québec, QC, Canada, G1V 2J3

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Gilles Bélanger

Corresponding Author

Gilles Bélanger

Soils and Crops Research and Development Centre, Agriculture and Agri-Food Canada, 2560 Hochelaga Boulevard, Québec, QC, Canada, G1V 2J3

Corresponding author ([email protected]).Search for more papers by this author
Vern Baron

Vern Baron

Lacombe Research Centre, Agriculture and Agri-Food Canada, Lacombe, AB, Canada, T4L 1W1

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Helge Bonesmo

Helge Bonesmo

Norwegian Agricultural Economics Research Institute, Statens hus, P.O. Box 4718 Sluppen, NO-7468 Trondheim, Norway

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Perttu Virkajärvi

Perttu Virkajärvi

MTT Agrifood Research Finland, Animal Production Research, Halolantie 31 A, FI-71750 Maaninka, Finland

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First published: 01 May 2013
Citations: 11

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Abstract

The process-based grass model, CATIMO, simulates the spring growth and nutritive value of timothy (Phleum pratense L.), a forage species widely grown in Scandinavia and Canada, but the nutritive value of the summer regrowth has never been simulated. Our objective was to improve CATIMO for simulating the N concentration, neutral detergent fiber (NDF), in vitro digestibility of NDF (dNDF), and in vitro true digestibility of dry matter (IVTD) of summer regrowth. Daily changes in summer regrowth nutritive value were simulated by modifying key crop parameters that differed from spring growth. More specifically, the partitioning fraction to leaf blades was increased to increase the leaf-to-weight ratio, and daily changes in NDF and dNDF of leaf blades and stems were reduced. The modified CATIMO model was evaluated with data from four independent experiments in eastern and western Canada and Finland. The model performed better for eastern Canada than for the other locations, but the nutritive value attributes of the summer regrowth across locations (range of normalized RMSE = 8–25%, slope < 0.17, R2 < 0.10) were not simulated as well as those of the spring growth (range of normalized RMSE = 4–16%, 0.85 < slope < 1.07, R2 > 0.61). These modeling results highlight knowledge gaps in timothy summer regrowth and prospective research directions: improved knowledge of factors controlling the nutritive value of the timothy summer regrowth and experimental measurements of leaf-to-weight ratio and of the nutritive value of leaves and stems.