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Use of classification and regression trees (CART) for analyzing determinants of winter wheat yield variation among fields in Poland


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Bertelsen J.R., de Neergaard E., Smedegaard-Petersen V. (2001): Fungicidal effects of azoxystrobin and epoxiconazole on phylloshere fungi, senescence and yield of winter wheat. Plant Pathol. 50: 190-205.10.1046/j.1365-3059.2001.00545.xSearch in Google Scholar

Breiman L., Friedman J.H., Olshen R.A., Stone C.J. (1984): Classification and Regression Trees. Chapman and Hall (Wadsworth, Inc.), US New York.Search in Google Scholar

CSO. Central Statistical Office. Concise Statistical Yearbook of Poland. (2017): Available online: https://danepubliczne.gov.pl/dataset/5c9f136c-025d-4b82-b03c-d8d7148dfe09/resource/cd90dfe3-1665-4a4d-b034-25e0ead1b389/download/malyrocznikstatystycznypolski2017.pdf (accessed on 4 January 2018).Search in Google Scholar

Dacko M., Zając T., Synowiec A., Oleksy A., Klimek-Kopyra A., Kulig B. (2016): New approach to determine biological and environmental factors influencing mass of a single pea (Pisum sativum L.) seed in Silesia region in Poland using a CART model. Eur. J. Agron. 74: 29-37.10.1016/j.eja.2015.11.025Search in Google Scholar

Delmotte S., Tittonell P., Mouret J.C., Hammond R., Lopez-Ridaura S. (2011): On farm assessment of rice yield variability and productivity gaps between organic and conventional cropping systems under Mediterranean climate. European Journal of Agronomy, 35(4): 223-236.10.1016/j.eja.2011.06.006Search in Google Scholar

Fallahi H.A., Nasseri A., Siadat A. (2008): Wheat Yield Components are Positively Influenced by Nitrogen Application under Moisture Deficit Environments. International Journal of Agriculture & Biology, 10: 673-676.Search in Google Scholar

Ferraro D.O., Rivero D.E., Ghersa C.M. (2009): An analysis of the factors that influence sugarcane yield in Northern Argentina using classification and regression trees. Field Crops Research, 112(2-3): 149-157.10.1016/j.fcr.2009.02.014Search in Google Scholar

Girma K., Holtz S.L., Arnall D.B., Fultz L.M., Hanks T.L., Lawles K.D., Mack C.J., Owen K.W., Reed S.D., Santillano J., Walsh O., White M.J., Raun W.R. (2007): Weather, Fertilizer, Previous Year Yield, and Fertilizer Levels Affect Ensuing Year Fertilizer Response of Wheat. Agronomy Journal, 99:1607-1614.10.2134/agronj2007.0030Search in Google Scholar

Gornott C., Wechsung F. (2016): Statistical regression models for assessing climate impacts on crop yields: A validation study for winter wheat and silage maize in Germany. Agric. For. Meteorol. 217: 89-100.10.1016/j.agrformet.2015.10.005Search in Google Scholar

Krupnik T.J., Ahmed Z.U., Timsina J., Yasmin S., Hossain F., Al Mamun A., Mridha A.I., McDonald A.J. (2015): Untangling crop management and environmental influences on wheat yield variability in Bangladesh: an application of non-parametric approaches. Agricultural Systems, 139: 166-179.10.1016/j.agsy.2015.05.007Search in Google Scholar

Lazaro L., Abbate P.E., Cogliatti D.H., Andrade F.H. (2010): Relationship between yield, growth and spike weight under phosphorus deficiency and shading. Journal of Agricultural Science, 148: 83-93.10.1017/S0021859609990402Search in Google Scholar

Lobell D.B., Ortiz-Monasterio J.I., Asner G.P., Naylor R.L., Falcon W.P. (2005): Combining field surveys, remote sensing, and regression trees to understand yield variations in an irrigated wheat landscape. Agronomy Journal, 97(1): 241-249.10.2134/agronj2005.0241aSearch in Google Scholar

Lobell D., Ortiz-Monasterio J., Addams C., Asner G. (2002): Soil, climate, and management impacts on regional wheat productivity in Mexico from remote sensing. Agric. For. Meteorol. 114: 31–43.10.1016/S0168-1923(02)00138-7Search in Google Scholar

Loyce C., Meynard J.M., Bouchard C., Rolland B., Lonnet P., Bataillon P., Bernicot M.H., Bonnefoy M., Charrier X., Debote B., Demarquet, T., Duperrier B., Félix I., Heddadj D., Leblanc O., Leleu M., Mangin P., Méausoone M., Doussinault G. (2008): Interaction between cultivar and crop management effects on winter wheat diseases, lodging, and yield. Crop protection, 27(7): 1131-1142.10.1016/j.cropro.2008.02.001Search in Google Scholar

Macholdt J., Honermeier B. (2017): Yield Stability in Winter Wheat Production: A Survey on German Farmers’ and Advisors’ Views. Agronomy, 7(3): 45.10.3390/agronomy7030045Search in Google Scholar

Mercer P.C., Ruddock A. (2005): Disease management of winter wheat with reduced doses of fungicides in Northern Ireland. Crop Prot. 24: 221-228.10.1016/j.cropro.2004.07.009Search in Google Scholar

Montesino-San Martína M., Olesen J.E., Porter J.R. (2014): A genotype, environment and management (GxExM) analysis of adaptation in winter wheat to climate change in Denmark. Agric. For. Meterol. 187: 1-13.10.1016/j.agrformet.2013.11.009Search in Google Scholar

Reidsma P., Ewert F., Lansink A.O., Leemans R. (2010): Adaptation to climate change and climate variability in European agriculture: The importance of farm level responses. Eur. J. Agron. 32: 91-102.10.1016/j.eja.2009.06.003Search in Google Scholar

Roel A., Firpo H., Plant R.E. (2007): Why do some farmers get higher yields? Multivariate analysis of a group of Uruguayan rice farmers. Computers and Electronics in Agriculture 58(1): 78-92.10.1016/j.compag.2006.10.001Search in Google Scholar

Rozbicki J., Ceglinska A., Gozdowski D., Jakubczak M., Cacak-Pietrzak G., Mądry W., Golba J., Sobczynski G., Studnicki M., Drzaga T. (2015): Influence of the cultivar, environment and management on the grain yield and bread-making quality in winter wheat. J. Cereal Sci. 61: 126-132.10.1016/j.jcs.2014.11.001Search in Google Scholar

Sileshi G., Akinnifesi F.K., Debusho L.K., Beedy T., Ajayi O.C., Mong’omba S. (2010): Variation in maize yield gaps with plant nutrient inputs, soil type and climate across sub-Saharan Africa. Field Crops Research 116(1-2): 1-13.10.1016/j.fcr.2009.11.014Search in Google Scholar

Tittonell P., Shepherd K.D., Vanlauwe B., Giller K.E. (2008): Unravelling the effects of soil and crop management on maize productivity in smallholder agricultural systems of western Kenya—an application of classification and regression tree analysis. Agric. Ecosyst. Environ. 123: 137-150.10.1016/j.agee.2007.05.005Search in Google Scholar

Topal M., Aksakal V., Bayram B., Yağanoğlu A.M. (2010): An analysis of the factors affecting birth weight and actual milk yield in Swedish red cattle using regression tree analysis. J. Anim. Plant Sci. 20: 63-69.Search in Google Scholar

Zhang J., Liu Q., Xu M., Zhao B. (2012): Effects of soil properties and agronomic practices on wheat yield variability in Fengqiu County of North China Plain. African Journal of Agricultural Research 7(11): 1650-1658.10.5897/AJAR11.1436Search in Google Scholar

Zheng H., Chen L., Han X., Ma Y., Zhao X. (2010): Effectiveness of phosphorus application in improving regional soybean yields under drought stress: A multivariate regression tree analysis. African Journal of Agricultural Research 5(23): 3251-3258.Search in Google Scholar

Zheng H., Chen L., Han X., Zhao X., Ma Y. (2009): Classification and regression tree (CART) for analysis of soybean yield variability among fields in Northeast China: the importance of phosphorus application rates under drought conditions. Agric. Ecosyst. Environ 132: 98-105.10.1016/j.agee.2009.03.004Search in Google Scholar

eISSN:
1896-3811
Język:
Angielski
Częstotliwość wydawania:
2 razy w roku
Dziedziny czasopisma:
Life Sciences, Bioinformatics, other, Mathematics, Probability and Statistics, Applied Mathematics