Sifting and winnowing: Analysis of farmer field data for soybean in the US North-Central region

Field Crops Research

Volumn 221, Issue , 2018, Pages 130-141

  Mourtzinis, Spyridon ^a   Rattalino Edreira, Juan I ^b   Grassini, Patricio ^b   Roth, Adam C ^a   Casteel, Shaun N ^c   Ciampitti, Ignacio A ^d   Kandel, Hans J ^e   Kyveryga, Peter M ^f   Licht, Mark A ^g   Lindsey, Laura E ^h   Mueller, Daren S ^g   Nafziger, Emerson D ⁱ   Naeve, Seth L ^j   Stanley, Jordan ^e   Staton, Michael J ^k   Conley, Shawn P ^a  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^c PURDUE UNIVERSITY   (United States)

^d KANSAS STATE UNIVERSITY   (United States)

^e NORTH DAKOTA STATE UNIVERSITY   (United States)

^f Iowa Soybean Association   (United States)

^g IOWA STATE UNIVERSITY   (United States)

^h OHIO STATE UNIVERSITY   (United States)

ⁱ UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^j UNIVERSITY OF MINNESOTA   (United States)

^k MICHIGAN STATE UNIVERSITY   (United States)

more..

Author keywords

Conditional inference tree; On farm yield; Soybean; Statistical technique; Survey data

Indexed keywords

AGRICULTURAL MANAGEMENT; AGRICULTURAL TECHNOLOGY; AGRONOMY; CROP PRODUCTION; CROP YIELD; DATA SET; DETECTION METHOD; FIELD SURVEY; GROWING SEASON; HYDROLOGICAL REGIME; SOYBEAN; YIELD RESPONSE;

UNITED STATES;

GLYCINE MAX;

EID: 85042856432     PISSN: 03784290     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fcr.2018.02.024     Document Type: Article

References (41)

1. Alexandratos, N., Bruinsma, J., World Agriculture Towards 2030/2050: the 2012 Revision. 2012, FAO, Rome.
2. Anaele, A.O., Bishnoi, U.R., Effects of tillage: weed control method and row spacing on soybean yield and certain soil properties. Soil Till. Res. 23 (1992), 333–340.
3. Bastidas, A.M., Setiyono, T.D., Dobermann, A., Cassman, K.G., Elmore, R.W., Graef, G.L., Specht, J.E., Soybean sowing date: the vegetative, reproductive, and agronomic impacts. Crop Sci. 48 (2008), 727–740.
4. Calvino, P., Sadras, V., On-farm assessment of constraints to wheat yield in the south-eastern Pampas. Field Crops Res. 74 (2002), 1–11.
5. Chauhan, B.S., Opena, L.J., Effect of plant spacing on growth and grain yield of soybean. Am. J. Plant Sci. 4 (2013), 2011–2014.
6. Conley, S.P., Pedersen, P., Esker, P., Gaska, J., Soybean yield and Heterodera Glycines response to rotation tillage, and source of genetic resistance. Agron. J. 103 (2011), 1604–1609.
7. De Bruin, J.L., Pedersen, P., Soybean seed yield response to planting date and seeding rate in the Upper Midwest. Agron. J. 100 (2008), 696–703.
8. Dormann, C.F., Elith, J., Bacher, S., Buchmann, C., Carl, G., Carré G., García Marquéz, J.R., Gruber, B., Lafourcade, B., Leitão, P.J., Münkemüller, T., McClean, C., Osborne, P.E., Reineking, B., Schröder, B., Skidmore, A.K., Zurell, D., Lautenbach, S., Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography 36 (2013), 27–46.
9. FAOSTAT, Crops and Livestock Trade Database. 2016 www.faostat.fao.org.
10. Ferraro, O.D., Rivero, E.D., Claudio, M.G., An analysis of the factors that influence sugarcane yield in Northern Argentina using classification and regression trees. Field Crops Res. 112 (2009), 149–157.
11. Gaspar, A.P., Mueller, D.S., Wise, K.A., Chilvers, M.I., Tenuta, A.U., Conley, S.P., Response of broad spectrum and target specific seed treatments and seeding rate on soybean seed yield profitability, and economic risk across diverse environments. Crop Sci. 56 (2017), 2251–2262, 10.2135/cropsci2016.11.0967.
12. Grassini, P., Thorburn, J., Burr, C., Cassman, K.G., High-yield irrigated maize in the Western U.S. Corn Belt: i on-farm yield, yield potential, and impact of agronomic practices. Field Crops Res. 120:1 (2011), 142–150.
13. Grassini, P., Eskridge, K., Cassman, K.G., Distinguishing between yield advances and yield plateaus in historical crop production trends. Nat. Commun., 4, 2013, 2918.
14. Grassini, P., Torrion, J.A., Cassman, K.G., Yang, H.S., Specht, J.E., Drivers of spatial and temporal variation in soybean yield and irrigation requirements in the western US Corn Belt. Field Crops Res. 163 (2014), 32–46.
15. Grassini, P., Specht, J., Tollenaar, T., Ciampitti, I., Cassman, K.G., High-yield maize-soybean cropping systems in the U.S. Corn Belt. Sadras, V.O., Calderini, D.F., (eds.) Crop Physiology- Applications for genetic improvement and agronomy, 2nd edition, 2014, Elsevier, The Netherlands.
16. Grassini, P., Torrion, J.A., Yang, H.S., Rees, J., Andersen, D., Cassman, K.G., Specht, J.E., Soybean yield gaps and water productivity in the western U.S. Corn Belt. Field Crops Res. 179 (2015), 150–163.
17. Hanna, O.S., Conley, S.P., Shaner, E.G., Santini, B.J., Fungicide application timing and row space effect on soybean canopy penetration and grain yield. Agron. J. 100 (2008), 1488–1492.
18. Hastie, T., Tibshirani, R., Friedman, J., The Elements of Statistical Learning: Data Mining, Inference, and Prediction. 2001, Springer, New York.
19. Hothorn, T., Hornick, K., Zeileis, A., Unbiased recursive partitioning: a conditional inference framework. J. Comput. Graph. Stat. 15:3 (2006), 651–674.
20. Krupnik, J.T., Ahmed, U.Z., Timsina, J., Yasmina, S., Hossain, F., Mamun, A.A., Mridha, I.M., McDonald, J.A., Untangling crop management and environmental influences on wheat yield variability in Bangladesh: an application of non-parametric approaches. Agric. Syst. 139 (2015), 166–179.
21. Lobell, B.D., Ortiz-Monasterio, J.I., Asner, G.P., Naylor, R.L., Falcon, W.P., Combining field surveys, remote sensing, and regression trees to understand yield variations in an irrigated wheat landscape. Agron. J. 97 (2005), 241–249.
22. Loomis, S.R., Traditional agriculture in America. Annu. Rev. Ecol. Evol. Syst. 15 (1984), 449–478.
23. Mercau, J.L., Sadras, V.O., Satorre, E.H., Messina, C., Balbi, C., Uribelarrea, M., Hall, A.J., On-farm assessment of regional and seasonal variation in sunflower yield in Argentina. Agric. Syst. 67 (2001), 83–103.
24. Mingers, J., Expert systems—rule induction with statistical data. J. Oper. Res. Soc. 38 (1987), 39–47.
25. Moore, D.I., Gessler, P.E., Nielsen, G.A., Peterson, G.A., Soil attribute prediction using terrain analysis. Soil Sci. Soc. Am. J. 57 (1993), 443–452.
26. Mourtzinis, S., Marburger, D.A., Gaska, J.M., Conley, S.P., Characterizing soybean yield and quality response to multiple prophylactic inputs and synergies. Agron. J. 108 (2016), 1–9.
27. Mourtzinis, S., Kaur, G., Orlowski, J.M., Shapiro, C.A., Lee, C.D., Wortmann, C., Holshouser, D., Nafziger, E.D., Kandel, H., Niekamp, J., Ross, J., Lofton, J., Vonk, J., Roozeboom, K.L., Thelen, K.D., Lindsey, L.E., Staton, M., Naeve, S.L., Casteel, S.N., Wiebold, W.J., Conley, S.P., Soybean response to nitrogen application across the United States: a synthesis-analysis. Field Crops Res. 215 (2018), 74–82.
28. Oplinger, E.S., Philbrook, B.D., Soybean planting date, row width, and seeding rate response in three tillage systems. J. Prod. Agric. 5 (1992), 94–99.
29. Passioura, J.B., Scaling up: the essence of effective agricultural research. Funct. Plant Biol. 37 (2010), 585–591.
30. Rattalino Edreira, R.J.I., Mourtzinis, S., Conley, S.P., Roth, A.C., Ciampitti, I.A., Licht, M.A., Kandel, H., Kyveryga, P.M., Lindsey, L.E., Mueller, D.S., Naeve, S.L., Nafziger, E., Stanley, J., Staton, M.J., Grassini, P., Assessing causes of yield gaps in agricultural areas with diversity in climate and soils. Agric. Forest Meteorol. 247 (2017), 170–180.
31. Rowntree, S., Suhre, J.J., Weidenbenner, N., Wilson, E., Davis, V., Naeve, S., Casteel, S., Diers, B., Esker, P., Specht, J., Conley, S.P., Genetic gain × management interactions in soybean: i. Planting date. Crop Sci. 53 (2013), 1128–1138.
32. Sadras, V., Roget, D., O'Leary, G., On-farm assessment of environmental and management constraints to wheat yield and efficiency in the use of rainfall in the Mallee. Aust. J. Agric. Res. 53 (2002), 587–598.
33. Silva, J.V., Reidsma, P., Laborte, A.G., van Ittersum, M.K., Explaining rice yields and yield gaps in Central Luzon, Philippines: an application of stochastic frontier analysis and crop modelling. Eur. J. Agron. 82 (2016), 223–241.
34. Specht, J.E., Williams, J.H., Weidenbenner, C.J., Differential responses of soybean genotypes subjected to a seasonal soil water gradient. Crop Sci. 26 (1986), 922–934.
35. Specht, J.E., Chase, K., Macrander, M., Graef, G.L., Chung, J., Markwell, J.P., Germann, M., Orf, J.H., Lark, K.G., Soybean response to water: a QTL analysis of drought tolerance. Crop Sci. 41 (2001), 493–509.
36. Specht, J.E., Diers, B.W., Nelson, R.L., Toledo, J.F., Torrion, J.A., Grassini, P., Soybean (Glycine max (L.) Merr.). Smith, J.S.C., Carver, B., Diers, B.W., Specht, J.E., (eds.) Yield Gains in Major US Field Crops: Contributing Factors and Future Prospects, 2014, CSSA Special Publication #33, ASA-CSSA-SSSA, Madison, WI.
37. Tenorio, F.A., Grassini, P., Rees, J., Glewen, K., Mueller, N., Thompson, L., Specht, J., Early Bird Gets the Worm: Benefits of Early Soybean Planting. 2016, UNL CropWatch URL http://cropwatch.unl.edu/2016/early-bird-gets-worm-benefits-early-soybean-planting.
38. Tilman, D., Balzer, C., Hill, J., Befort, B.L., Global food demand and the sustainable intensification of agriculture. Proc. Natl. Acad. Sci. U. S. A. 108 (2011), 20260–20264.
39. Tittonell, P., Shepherd, K.D., Vanlauwe, B., Giller, K.E., 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 (2008), 137–150.
40. USDA-NASS, USDA-National Agricultural Statistics Service (NASS). 2016, Crop U.S. State and County Databases.
41. Zou, H., Hastie, T., Regularization and variable selection via the elastic net. Philos. Trans. R. Soc. Lond. Ser. B (Stat. Methodol.) 67 (2005), 301–320.