Decision Trees as a Tool to Select Sugarcane Families

American Journal of Plant Sciences

ISSN Print: 2158-2742
ISSN Online: 2158-2750
www.scirp.net/journal/ajps
E-mail: [email protected]

Citations

"Decision Trees as a Tool to Select Sugarcane Families"
written by Luiz A. Peternelli, Diego P. Bernardes, Bruno P. Brasileiro, Marcio H.P. Barbosa, Raphael H. T. Silva,
published by American Journal of Plant Sciences, Vol.9 No.2, 2018

has been cited by the following article(s):

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[2]	Selection indices and support vector machines in the selection of sugarcane families
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[7]	Methodology of validation and management of crosses in the genetic improvement in sugarcane.
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[8]	Can Statistical Learning Models Make Early Selection Among Sugarcane Families Easier and Still Efficient?
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[9]	Metodología de validación y manejo de cruces en la mejora genética en caña de azúcar
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[1]	A fair and efficient two-step procedure for sugarcane properties prediction based on near-infrared spectra Scientia Agricola, 2025 DOI:10.1590/1678-992x-2024-0051

[2]	Morphological growth performance and genetic parameters on Korean pine in Northeastern China Silvae Genetica, 2023 DOI:10.2478/sg-2023-0004

[3]	Can statistical learning models make early selection among sugarcane families easier and still efficient? Crop Science, 2021 DOI:10.1002/csc2.20334

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