Application of Water-stress Models to estimate the Herbage Dry Matter Yield of a Permanent Grassland Pasture Sward Regrowth |
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| Institution: | 1. College of Agronomy, Hebei Agricultural University/ State Key Laboratory of North China Crop Improvement and Regulation/ Key Laboratory of Crop Growth Regulation of Hebei Province, Baoding, Hebei 071001, China;2. College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China;3. Scientific Observing and Experimental Station of Crop High Efficient Use of Water in Wuqiao, the Ministry of Agriculture and Rural Affairs, Wuqiao 061802, China;4. Innovation Center of Agricultural Technology for Lowland Plain of Hebei, Wuqiao 061802, China;1. INRA, VetAgro Sup, UCA, Unité Mixte de Recherche sur l’Écosystème Prairial (UREP), 63000 Clermont-Ferrand, France;2. Agricultural Institute, CAR HAS, 2462 Martonvásár, Hungary;3. INRA, 75007 Paris, France;4. University of Florence, DISPAA, 50144 Florence, Italy;5. IBIMET-CNR, 50145 Florence, Italy;6. Agroscope Research Station, Climate Agriculture Group, Zurich, Switzerland;7. FARE Laboratory, INRA, Université de Reims Champagne-Ardenne, 51100 Reims, France;8. Institute of Biological & Environmental Sciences, School of Biological Sciences, University of Aberdeen, Aberdeen AB24 3UU, United Kingdom;9. AgResearch - Lincoln Research Centre, Private Bag 4749, Christchurch 8140, New Zealand;10. NREL, Colorado State University, Fort Collins, CO, USA;11. Department of Environmental Systems Science, Institute of Agricultural Sciences, ETH Zürich, 8092 Zurich, Switzerland;12. Rothamsted Research, Sustainable Soil and Grassland Systems Department, United Kingdom;13. USDA-ARS, NGPRL, Mandan, ND, USA;14. Mazingira Centre, International Livestock Research Institute, 00100 Nairobi, Kenya;15. AgResearch Grasslands Research Centre, Private Bag 11008, Palmerston North 4442, New Zealand;p. Scotland''s Rural College, EH9 3JG Edinburgh, United Kingdom;q. Potsdam Institute for Climate Impact Research, 14473 Potsdam, Germany |
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| Abstract: | This study proposed the concepts of water availability and the related growth support factor and defined them quantitatively. Based on these concepts, the water-stress-dependent effective temperature and global solar radiation accumulation were defined and used as regression variables in statistical modelling of herbage regrowth dry matter (DM) yield of a permanent grassland pasture sward under varying degrees of water shortage. It was found that the proposed method greatly improved the DM yield model accuracy when the influence of water stress on grass growth was prevalent. An effective model was obtained and is recommended for herbage yield prediction under such water-stress conditions. The recommended model predicted DM yield with a coefficient of determination of 0·92 and a mean square error of 0·21 t ha−1. The model can be used for similar herbage regrowth of 3 weeks and beyond. Evaluation using an independent data set confirmed that the recommended model is robust and accurate. The methodology proposed can also be adapted to modelling the herbage growth of different sward types and different (re)growths under the influence of water stress. |
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