Predictions of soybean harvest index evolution and evapotranspiration using STICS crop model
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Elizabeth Pattey | Guillaume Jégo | René Morissette | Marianne Crépeau | Malcolm J. Morrison | E. Pattey | G. Jégo | R. Morissette | M. Morrison | M. Crépeau
[1] K. Boote. Improving Soybean Cultivars for Adaptation to Climate Change and Climate Variability , 2011 .
[2] T. Hymowitz,et al. Variability of Sugar Content in Seed of Glycine max (L.) Merrill and G. soja Sieb. and Zucc. 1 , 1974 .
[3] H. Nguyen,et al. Impacts of genomic research on soybean improvement in East Asia , 2019, Theoretical and Applied Genetics.
[4] Gerrit Hoogenboom,et al. Adapting the CROPGRO Model to Simulate Alfalfa Growth and Yield , 2018, Agronomy Journal.
[5] Luis S. Pereira,et al. Crop evapotranspiration estimation with FAO56: Past and future , 2015 .
[6] S. Asseng,et al. Simulation Modeling: Applications in Cropping Systems , 2014 .
[7] P. Sentelhas,et al. Uncertainty assessment of soya bean yield gaps using DSSAT‐CSM‐CROPGRO‐Soybean calibrated by cultivar maturity groups , 2019, Journal of Agronomy and Crop Science.
[8] K. J. Sene,et al. Parameterisations for energy transfers from a sparse vine crop , 1994 .
[9] José Luis Araus,et al. Recent changes in pampean agriculture: possible new avenues in coping with global change challenges. , 2011 .
[10] J. Wilcox. Sixty Years of Improvement in Publicly Developed Elite Soybean Lines , 2001 .
[11] T. Hymowitz,et al. Relationship Between the Content of Oil, Protein, and Sugar in Soybean Seed1 , 1972 .
[12] T. Mabhaudhi,et al. Modelling and measurement of water productivity and total evaporation in a dryland soybean crop , 2019, Agricultural and Forest Meteorology.
[13] J. Porter,et al. A test of the computer simulation model ARCWHEAT1 on wheat crops grown in New Zealand , 1991 .
[14] Tingting Wu,et al. Critical Photoperiod Measurement of Soybean Genotypes in Different Maturity Groups , 2019, Crop Science.
[15] Fernando E. Miguez,et al. A methodology and an optimization tool to calibrate phenology of short-day species included in the APSIM PLANT model: Application to soybean , 2014, Environ. Model. Softw..
[16] D. Bullock,et al. Growth analysis of soybean under no-tillage and conventional tillage systems , 1999 .
[17] N. Dashti,et al. Plant Growth Promoting Rhizobacteria and Soybean (Glycine max (L.) Merr.) Nodulation and Nitrogen Fixation at Suboptimal Root Zone Temperatures , 1996 .
[18] Deyue Yu,et al. Estimates of relative contribution of biomass, harvest index and yield components to soybean yield improvements in China , 2005 .
[19] J. Wallace,et al. Evaporation from sparse crops‐an energy combination theory , 2007 .
[20] W. Rawls,et al. Soil Water Characteristic Estimates by Texture and Organic Matter for Hydrologic Solutions , 2006 .
[21] W. Lindemann,et al. Soybean Plant Growth, Nodulation, and Nitrogen Fixation as Affected by Root Temperature1 , 1979 .
[22] Eric Justes,et al. Calculation of nitrogen mineralization and leaching in fallow soil using a simple dynamic model , 1999 .
[23] M. Morrison,et al. Agronomic changes from 58 years of genetic improvement of short-season soybean cultivars in Canada , 1999 .
[24] P. Debaeke,et al. Analysis of soybean germination, emergence, and prediction of a possible northward establishment of the crop under climate change , 2020 .
[25] Ward N. Smith,et al. Comparing the performance of the STICS, DNDC, and DayCent models for predicting N uptake and biomass of spring wheat in Eastern Canada , 2014 .
[26] L. Miranda,et al. Soybean Improvement: Achievements and Challenges , 2013 .
[27] E. Pattey,et al. Modelling soybean yield responses to seeding date under projected climate change scenarios , 2017, Canadian Journal of Plant Science.
[28] Larry C. Purcell,et al. Simplifying the prediction of phenology with the DSSAT-CROPGRO-soybean model based on relative maturity group and determinacy , 2016 .
[29] Eric Justes,et al. STICS: a generic model for simulating crops and their water and nitrogen balances. II. Model validation for wheat and maize , 2002 .
[30] H. Ren,et al. Genetic variation of world soybean maturity date and geographic distribution of maturity groups , 2017, Breeding science.
[31] P. Pedersen,et al. Yield Improvement and Stability for Soybean Cultivars with Resistance to Heterodera Glycines Ichinohe , 2008 .
[32] J. Specht,et al. Leaf area index simulation in soybean grown under near-optimal conditions , 2008 .
[33] R. Desjardins,et al. Crop net carbon dioxide exchange rate and radiation use efficiency in soybean , 1995 .
[34] Daniel Wallach,et al. A SIMPLE crop model , 2019, European Journal of Agronomy.
[35] K. Boote,et al. Inter-comparison of performance of soybean crop simulation models and their ensemble in southern Brazil , 2017 .
[36] H. Sinoquet,et al. An overview of the crop model STICS , 2003 .
[37] Elizabeth Pattey,et al. Calibration and performance evaluation of soybean and spring wheat cultivars using the STICS crop model in Eastern Canada , 2010 .
[38] New model-based insights for strategic nitrogen recommendations adapted to given soil and climate , 2018, Agronomy for Sustainable Development.
[39] K. Nahar,et al. Heat stress responses and thermotolerance in soybean , 2016 .
[40] James E. Specht,et al. Genetic gain × management interactions in soybean: I. Planting date , 2013 .
[41] Yang Gao,et al. Comparison of Shuttleworth-Wallace model and dual crop coefficient method for estimating evapotranspiration of tomato cultivated in a solar greenhouse , 2019, Agricultural Water Management.
[42] V. Sadras,et al. Soybean shows an attenuated nitrogen dilution curve irrespective of maturity group and sowing date , 2016 .
[43] H. L. Penman. Natural evaporation from open water, bare soil and grass , 1948, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.
[44] J. Specht,et al. Soybean yield potential: A genetic and physiological perspective , 1999 .