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Modelos empíricos de competencia cultivo-mala hierba. Revisión Bibliográfica.
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- Informacion Tecnica Economica Agraria, 2019, v. 115, n. 4, p. 289, doi. 10.12706/itea.2019.007
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The structural classification of field boundaries in Mediterranean arable cropping systems allows the prediction of weed abundances in the boundary and in the adjacent crop.
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- Weed Research, 2019, v. 59, n. 4, p. 300, doi. 10.1111/wre.12366
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Co‐operative versus non‐co‐operative farmers' weed control decisions in an agricultural landscape.
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- Weed Research, 2018, v. 58, n. 5, p. 327, doi. 10.1111/wre.12314
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Crop production structure and stability under climate change in South America.
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- Annals of Applied Biology, 2018, v. 172, n. 1, p. 65, doi. 10.1111/aab.12402
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Predicting field weed emergence with empirical models and soft computing techniques.
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- Weed Research, 2016, v. 56, n. 6, p. 415, doi. 10.1111/wre.12223
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A comparative study between nonlinear regression and nonparametric approaches for modelling Phalaris paradoxa seedling emergence.
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- Weed Research, 2016, v. 56, n. 5, p. 367, doi. 10.1111/wre.12216
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Predicting global geographical distribution of Lolium rigidum (rigid ryegrass) under climate change.
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- Journal of Agricultural Science, 2016, v. 154, n. 5, p. 755, doi. 10.1017/S0021859615000799
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Identifying the effect of density dependence, agricultural practices and climate variables on the long-term dynamics of weed populations.
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- Weed Research, 2014, v. 54, n. 6, p. 556, doi. 10.1111/wre.12113
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Can the storage effect hypothesis explain weed co-existence on the Broadbalk long-term fertiliser experiment?
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- Weed Research, 2014, v. 54, n. 5, p. 445, doi. 10.1111/wre.12097
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A comparative study between non-linear regression and artificial neural network approaches for modelling wild oat (Avena fatua) field emergence.
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- Journal of Agricultural Science, 2014, v. 152, n. 2, p. 254, doi. 10.1017/S0021859612001098
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Seed germination response to temperature for a range of international populations of Conyza canadensis.
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- Weed Research, 2014, v. 54, n. 2, p. 178, doi. 10.1111/wre.12065
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An investigation to enhance understanding of the stimulation of weed seedling emergence by soil disturbance.
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- Weed Research, 2014, v. 54, n. 1, p. 1, doi. 10.1111/wre.12054
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Development and evaluation of a model for predicting Lolium rigidum emergence in winter cereal crops in the Mediterranean area.
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- Weed Research, 2013, v. 53, n. 4, p. 269, doi. 10.1111/wre.12023
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A hydrothermal seedling emergence model for Conyza bonariensis.
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- Weed Research, 2013, v. 53, n. 3, p. 213, doi. 10.1111/wre.12020
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Interactions between reduced rate of imazethapyr and multiple weed species-soyabean interference in a semi-arid environment.
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- Weed Research, 2012, v. 52, n. 3, p. 242, doi. 10.1111/j.1365-3180.2012.00917.x
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Computing statistical indices for hydrothermal times using weed emergence data.
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- Journal of Agricultural Science, 2011, v. 149, n. 6, p. 701, doi. 10.1017/S002185961100030X
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Assessment of a decision support system for chemical control of annual ryegrass ( Lolium rigidum) in winter cereals.
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- Weed Research, 2011, v. 51, n. 3, p. 304, doi. 10.1111/j.1365-3180.2011.00842.x
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Field evaluation of a decision support system for herbicidal control of Avena sterilis ssp. ludoviciana in winter wheat.
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- Weed Research, 2010, v. 50, n. 1, p. 83, doi. 10.1111/j.1365-3180.2009.00744.x
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Spatial distribution of weed diversity within a cereal field.
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- Agronomy for Sustainable Development (EDP Sciences), 2009, v. 29, n. 3, p. 491, doi. 10.1051/agro/2009009
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Predicting weed emergence in maize crops under two contrasting climatic conditions.
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- Weed Research, 2009, v. 49, n. 3, p. 251, doi. 10.1111/j.1365-3180.2008.00690.x
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Modelling the population dynamics of Papaver rhoeas under various weed management systems in a Mediterranean climate.
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- Weed Research, 2008, v. 48, n. 2, p. 136, doi. 10.1111/j.1365-3180.2007.00610.x
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Using thermal and hydrothermal time to model seedling emergence ofAvena sterilisssp.ludovicianain Spain.
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- Weed Research, 2005, v. 45, n. 2, p. 149, doi. 10.1111/j.1365-3180.2004.00444.x
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Logistic model for describing the pattern of flight of Kalotermes flavicollis in sherry vineyards.
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- EPPO Bulletin, 2003, v. 33, n. 2, p. 331, doi. 10.1046/j.1365-2338.2003.00645.x
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Use of fractals and moments to describe olive cultivars.
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- Journal of Agricultural Science, 2003, v. 141, n. 1, p. 63, doi. 10.1017/S0021859603003526
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Forum.
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- Functional Ecology, 2000, v. 14, n. 4, p. 524, doi. 10.1046/j.1365-2435.2000.00423.x
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The effect of dispersal between chaotic and non-chaotic populations within a metapopulation
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- Oikos, 1993, v. 66, n. 3, p. 555
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MODELLING THE POPULATION DYNAMICS OF AVENA STERILIS UNDER DRY-LAND CEREAL CROPPING SYSTEMS.
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- Journal of Applied Ecology, 1991, v. 28, n. 1, p. 16, doi. 10.2307/2404110
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