FAO. FAOSTAT Food and Agriculture Organization of the United Nations. 2022 [cited 2022 Oct 03]. Available from: https://www.fao.org/faostat/en/#data/QCL
Katsura K. Field studies on factors causing the widening gaps in soybean yield between Japan and USA.-Field observation reports in USA. J Crop Res. 2009;54:149–154.
Khan AZ, Farhatullah D, Iqubal M, et al. Genotypic comparison of determinate and indterminate soybean lines for yield and yield components. Pak J Bot. 2018;50(1):131–134.
https://doi.org/10.1007/s00122-009-1228-6
https://doi.org/10.1080/1343943X.2016.1157443
https://doi.org/10.1590/s0100-204x2018000900007
https://doi.org/10.1080/1343943X.2020.1743187
Li X, An P, Inanaga S, et al. Mechanisms promoting recovery from defoliation in determinate and indeterminate soybean cultivars. J Food Agric Environ. 2005;3(3/4):178.
Kato S. A study on the effects of indeterminate growth in soybeans on seed weight [doctoral dissertation]. Sendai (Japan): Tohoku University; 2016.
Hamazaki T. The third revised edition of agricultural soil classification. Japanese J Soil Sci Plant Nutr. 1998;69(2):206–211.
https://doi.org/10.2480/cib.J-16-028
https://doi.org/10.1093/aob/mcg029
https://doi.org/10.1002/agj2.20548
R Core Team. R: a language and environment for statistical computing. R Foundation for Statistical Computing Vienna Austria; 2021. Available from: http://www.R-project.org/
AMeDAS. AMeDAS Automated Meteorological Data Acquisition System. 2022 [cited 2022 Jun 17]. Available from: https://tenki.jp/amedas/2/7/34096.html
https://doi.org/10.1016/j.fcr.2020.107717
https://doi.org/10.2134/agronj2018.10.0635
https://doi.org/10.3390/foods11244059
https://doi.org/10.1002/agj2.20188
Shimada S, Harukuchi S, Kanzaki M, et al. Factors affecting the occurrence of green stem syndrome in soybean varieties with different main stem growth types. In: Proceedings of the 224th Meeting of the Crop Science Society of Japan. Crop Science Society of Japan; 2007. p. 198.
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