Assessment of different gridded weather data for soybean yield simulations in Brazil-Reference-Cited by-同舟云学术

Assessment of different gridded weather data for soybean yield simulations in Brazil

Published:2018-01-18 Issue:1-2 Volume:135 Page:237-247
ISSN:0177-798X
Container-title:Theoretical and Applied Climatology
language:en
Short-container-title:Theor Appl Climatol

Author:

Battisti R.^ORCID,Bender F. D.,Sentelhas P. C.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Atmospheric Science

Link

http://link.springer.com/article/10.1007/s00704-018-2383-y/fulltext.html

Reference40 articles.

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3. Angstrom A (1924) Solar and terrestrial radiation. Q J R Meteorol Soc 50:121–125. https://doi.org/10.1002/qj.49705021008

4. Bai J, Chen X, Dobermann A, Yang H, Cassman KG, Zhang F (2010) Evaluation of NASA satellite- and model-derived weather data for simulation of maize yield potential in China. Agron J 102(1):9–16. https://doi.org/10.2134/agronj2009.0085

5. Bandaru V, Pei Y, Hart Q, Jenkins BM (2017) Impact of biases in gridded weather datasets on biomass estimates of short rotation woody cropping systems. Agric Forest Meteorol 233:71–79. https://doi.org/10.1016/j.agrformet.2016.11.008

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