Dataset: Forty soybean cultivars from subsequent harvests

Autores

DOI:

https://doi.org/10.46420/TAES.e230005

Palavras-chave:

Glycine max L., grain productivity, sowing times, soybeans

Resumo

Soybean cultivation is one of the most important because it is used in several segments of the food industry. The evaluation of soybean cultivars subject to different planting and harvesting characteristics is an ongoing field of research. In this paper, we present a dataset obtained from forty soybean cultivars planted in subsequent seasons. The experiment used randomized blocks, arranged in a split-plot scheme, with four replications. The following variables were collected: plant height, insertion of the first pod, number of stems, number of legumes per plant, number of grains per pod, thousand seed weight, and grain yield, resulting in 320 data samples. The dataset presented can be used by researchers from different fields of activity.

Referências

MARANHÃO - GOVERNO DO ESTADO DO MARANHÃO. Gerência de Planejamento e Desenvolvimento Econômico - GEPLAN. Atlas do Maranhão. São Luís: Universidade Estadual do Maranhão, 2002. p.39.

McKinney, W. (2010, June). Data structures for statistical computing in Python. In Proceedings of the 9th Python in Science Conference (Vol. 445, No. 1, pp. 51-56).

Passos, M.L.; Zambrzycki, G.C.; Pereira, R.S. Balanço hídrico climatológico e classificação climática para o município de Balsas-MA. Revista Scientia Agraria, v.18, n.1, p.83-89, 2017. doi: 10.5380/rsa.v18i1.48584

Santos, H.G. et al. Sistema brasileiro de classificação de solos, Embrapa, ed. 5, 2018.

Van Rossum, G., Drake Jr, F. L. (1995). Python tutorial. Centrum voor Wiskunde en Informatica Amsterdam, The Netherlands.

USDA. https://ipad.fas.usda.gov/cropexplorer/cropview/commodityView.aspx?cropid=2222000

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Publicado

2023-11-08

Edição

Volume 1 (2023)

Seção

Seção Base de dados Científicos

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Copyright (c) 2023 Trends in Agricultural and Environmental Sciences

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