메뉴 건너뛰기




Volumn 90, Issue , 2017, Pages 1-11

Erratum to “Modelling fertiliser significance in three major crops” [Eur. J. Agron. 90 (2017) 1–11] (S1161030117300941) (10.1016/j.eja.2017.06.012));Modelling fertiliser significance in three major crops

Author keywords

Fertiliser; Maize; Rice; Statistical modelling; Wheat

Indexed keywords

AGRICULTURAL MODELING; CROP YIELD; FERTILIZER APPLICATION; MAIZE; NITROGEN COMPOUND; RICE; STATISTICAL ANALYSIS; WHEAT; YIELD RESPONSE;

EID: 85023616534     PISSN: 11610301     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eja.2018.01.004     Document Type: Erratum
Times cited : (6)

References (30)
  • 1
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • Akaike, H., A new look at the statistical model identification. IEEE Trans. Autom. Control 19 (1974), 716–723, 10.1109/TAC.1974.1100705.
    • (1974) IEEE Trans. Autom. Control , vol.19 , pp. 716-723
    • Akaike, H.1
  • 6
    • 84887466350 scopus 로고    scopus 로고
    • Projected climate impacts to south African maize and wheat production in 2055: a comparison of empirical and mechanistic modeling approaches
    • Estes, L.D., Beukes, H., Bradley, B.A., Debats, S.R., Oppenheimer, M., Ruane, A.C., Schulze, R., Tadross, M., Projected climate impacts to south African maize and wheat production in 2055: a comparison of empirical and mechanistic modeling approaches. Glob. Change Biol. 19 (2013), 3762–3774, 10.1111/gcb.12325.
    • (2013) Glob. Change Biol. , vol.19 , pp. 3762-3774
    • Estes, L.D.1    Beukes, H.2    Bradley, B.A.3    Debats, S.R.4    Oppenheimer, M.5    Ruane, A.C.6    Schulze, R.7    Tadross, M.8
  • 7
    • 84876578681 scopus 로고    scopus 로고
    • Food and Agriculture Organization of the United Nations: FAOSTAT Database
    • Available at: (Latest update 07.03.14)
    • FAOSTAT, Food and Agriculture Organization of the United Nations: FAOSTAT Database. 2014 Available at: http://data.fao.org/database?entryId=262b79ca-279c-4517-93de-ee3b7c7cb553 (Latest update 07.03.14).
    • (2014)
    • FAOSTAT1
  • 8
    • 84949939584 scopus 로고    scopus 로고
    • Statistical regression models for assessing climate impacts on crop yields: a validation study for winter wheat and silage maize in Germany
    • Gornott, C., Wechsung, F., Statistical regression models for assessing climate impacts on crop yields: a validation study for winter wheat and silage maize in Germany. Agric. Forest Meteorol. 217 (2016), 89–100, 10.1016/j.agrformet.2015.10.005.
    • (2016) Agric. Forest Meteorol. , vol.217 , pp. 89-100
    • Gornott, C.1    Wechsung, F.2
  • 10
    • 84946263679 scopus 로고
    • Robust regression using iteratively reweighted least-squares
    • Holland, P.W., Welsch, R.E., Robust regression using iteratively reweighted least-squares. Commun. Stat. Theory Methods 6 (1977), 813–827, 10.1080/03610927708827533.
    • (1977) Commun. Stat. Theory Methods , vol.6 , pp. 813-827
    • Holland, P.W.1    Welsch, R.E.2
  • 11
    • 84859267444 scopus 로고    scopus 로고
    • A regional comparison of the effects of climate change on agricultural crops in Europe
    • Iglesias, A., Garrote, L., Quiroga, S., Moneo, M., A regional comparison of the effects of climate change on agricultural crops in Europe. Climat. Change 112 (2012), 29–46, 10.1007/s10584-011-0338-8.
    • (2012) Climat. Change , vol.112 , pp. 29-46
    • Iglesias, A.1    Garrote, L.2    Quiroga, S.3    Moneo, M.4
  • 13
    • 21544444259 scopus 로고    scopus 로고
    • Applied Linear Regression Models
    • McGraw-Hill Irwin
    • Kutner, M., Nachtsheim, C., Neter, J., Applied Linear Regression Models. 2004, McGraw-Hill, Irwin.
    • (2004)
    • Kutner, M.1    Nachtsheim, C.2    Neter, J.3
  • 14
    • 84923640662 scopus 로고    scopus 로고
    • 50 year trends in nitrogen use efficiency of world cropping systems: the relationship between yield and nitrogen input to cropland
    • Lassaletta, L., Billen, G., Grizzetti, B., Anglade, J., Garnier, J., 50 year trends in nitrogen use efficiency of world cropping systems: the relationship between yield and nitrogen input to cropland. Environ. Res. Lett., 9, 2014, 105011.
    • (2014) Environ. Res. Lett. , vol.9 , pp. 105011
    • Lassaletta, L.1    Billen, G.2    Grizzetti, B.3    Anglade, J.4    Garnier, J.5
  • 15
    • 84872892535 scopus 로고    scopus 로고
    • Errors in climate datasets and their effects on statistical crop models
    • Agricultural prediction using climate model ensembles
    • Lobell, D.B., Errors in climate datasets and their effects on statistical crop models. Agric. Forest Meteorol. 170 (2013), 58–66, 10.1016/j.agrformet.2012.05.013 Agricultural prediction using climate model ensembles.
    • (2013) Agric. Forest Meteorol. , vol.170 , pp. 58-66
    • Lobell, D.B.1
  • 16
    • 85011320903 scopus 로고    scopus 로고
    • Comparing estimates of climate change impacts from process-based and statistical crop models
    • Lobell, D.B., Asseng, S., Comparing estimates of climate change impacts from process-based and statistical crop models. Environ. Res. Lett., 12, 2017, 015001.
    • (2017) Environ. Res. Lett. , vol.12 , pp. 015001
    • Lobell, D.B.1    Asseng, S.2
  • 17
    • 77956883074 scopus 로고    scopus 로고
    • On the use of statistical models to predict crop yield responses to climate change
    • Lobell, D.B., Burke, M.B., On the use of statistical models to predict crop yield responses to climate change. Agric. Forest Meteorol. 150 (2010), 1443–1452, 10.1016/j.agrformet.2010.07.008.
    • (2010) Agric. Forest Meteorol. , vol.150 , pp. 1443-1452
    • Lobell, D.B.1    Burke, M.B.2
  • 18
    • 79960949654 scopus 로고    scopus 로고
    • Climate trends and global crop production since 1980
    • Lobell, D.B., Schlenker, W., Costa-Roberts, J., Climate trends and global crop production since 1980. Science 333 (2011), 616–620, 10.1126/science.1204531.
    • (2011) Science , vol.333 , pp. 616-620
    • Lobell, D.B.1    Schlenker, W.2    Costa-Roberts, J.3
  • 22
    • 33746906726 scopus 로고    scopus 로고
    • Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling
    • Sheffield, J., Goteti, G., Wood, E.F., Development of a 50-year high-resolution global dataset of meteorological forcings for land surface modeling. J. Climate 19 (2006), 3088–3111, 10.1175/JCLI3790.1.
    • (2006) J. Climate , vol.19 , pp. 3088-3111
    • Sheffield, J.1    Goteti, G.2    Wood, E.F.3
  • 23
    • 84869045028 scopus 로고    scopus 로고
    • Little change in global drought over the past 60 years
    • Sheffield, J., Wood, E.F., Roderick, M.L., Little change in global drought over the past 60 years. Nature 491 (2012), 435–438.
    • (2012) Nature , vol.491 , pp. 435-438
    • Sheffield, J.1    Wood, E.F.2    Roderick, M.L.3
  • 24
    • 84876438833 scopus 로고    scopus 로고
    • A review on statistical models for identifying climate contributions to crop yields
    • Shi, W., Tao, F., Zhang, Z., A review on statistical models for identifying climate contributions to crop yields. J. Geogr. Sci. 23 (2013), 567–576, 10.1007/s11442-013-1029-3.
    • (2013) J. Geogr. Sci. , vol.23 , pp. 567-576
    • Shi, W.1    Tao, F.2    Zhang, Z.3
  • 25
    • 84903752131 scopus 로고    scopus 로고
    • Divergence of climate impacts on maize yield in northeast china
    • Wang, X., Peng, L., Zhang, X., Yin, G., Zhao, C., Piao, S., Divergence of climate impacts on maize yield in northeast china. Agric. Ecosyst. Environ. 196 (2014), 51–58, 10.1016/j.agee.2014.06.009.
    • (2014) Agric. Ecosyst. Environ. , vol.196 , pp. 51-58
    • Wang, X.1    Peng, L.2    Zhang, X.3    Yin, G.4    Zhao, C.5    Piao, S.6
  • 26
    • 84955592296 scopus 로고    scopus 로고
    • Contribution of climatic and technological factors to crop yield: empirical evidence from late paddy rice in Hunan Province, China
    • Wang, Z., Ye, T., Wang, J., Cheng, Z., Shi, P., Contribution of climatic and technological factors to crop yield: empirical evidence from late paddy rice in Hunan Province, China. Stoch. Environ. Res. Risk Assess. 30 (2016), 2019–2030, 10.1007/s00477-016-1215-9.
    • (2016) Stoch. Environ. Res. Risk Assess. , vol.30 , pp. 2019-2030
    • Wang, Z.1    Ye, T.2    Wang, J.3    Cheng, Z.4    Shi, P.5
  • 27
    • 84907027452 scopus 로고    scopus 로고
    • The WFDEI meteorological forcing data set: Watch forcing data methodology applied to era-interim reanalysis data
    • Weedon, G.P., Balsamo, G., Bellouin, N., Gomes, S., Best, M.J., Viterbo, P., The WFDEI meteorological forcing data set: Watch forcing data methodology applied to era-interim reanalysis data. Water Resour. Res. 50 (2014), 7505–7514, 10.1002/2014WR015638.
    • (2014) Water Resour. Res. , vol.50 , pp. 7505-7514
    • Weedon, G.P.1    Balsamo, G.2    Bellouin, N.3    Gomes, S.4    Best, M.J.5    Viterbo, P.6
  • 28
    • 80052809575 scopus 로고    scopus 로고
    • Methodologies for simulating impacts of climate change on crop production
    • White, J.W., Hoogenboom, G., Kimball, B.A., Wall, G.W., Methodologies for simulating impacts of climate change on crop production. Field Crops Res. 124 (2011), 357–368, 10.1016/j.fcr.2011.07.001.
    • (2011) Field Crops Res. , vol.124 , pp. 357-368
    • White, J.W.1    Hoogenboom, G.2    Kimball, B.A.3    Wall, G.W.4
  • 30
    • 84928628137 scopus 로고    scopus 로고
    • Potential impact of future climate change on crop yield in northeastern china
    • Zhou, M., Wang, H., Potential impact of future climate change on crop yield in northeastern china. Adv. Atmos. Sci. 32 (2015), 889–897, 10.1007/s00376-014-4161-9.
    • (2015) Adv. Atmos. Sci. , vol.32 , pp. 889-897
    • Zhou, M.1    Wang, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.