Version 1
: Received: 2 September 2024 / Approved: 3 September 2024 / Online: 3 September 2024 (10:59:49 CEST)
How to cite:
Carretillo Moctezuma, C. D.; Martínez, M. G.; Godínez Jaimes, F.; García Preciado, J. C.; Reyes Carreto, R.; Torrones Salgado, J.; Pérez Arriaga, E. Growth Curve Models and Clustering Techniques for the Study of New Sugarcane Hybrids: An Integrated Approach with K-Means, K-Medoids, and DBSCAN. Preprints2024, 2024090179. https://doi.org/10.20944/preprints202409.0179.v1
Carretillo Moctezuma, C. D.; Martínez, M. G.; Godínez Jaimes, F.; García Preciado, J. C.; Reyes Carreto, R.; Torrones Salgado, J.; Pérez Arriaga, E. Growth Curve Models and Clustering Techniques for the Study of New Sugarcane Hybrids: An Integrated Approach with K-Means, K-Medoids, and DBSCAN. Preprints 2024, 2024090179. https://doi.org/10.20944/preprints202409.0179.v1
Carretillo Moctezuma, C. D.; Martínez, M. G.; Godínez Jaimes, F.; García Preciado, J. C.; Reyes Carreto, R.; Torrones Salgado, J.; Pérez Arriaga, E. Growth Curve Models and Clustering Techniques for the Study of New Sugarcane Hybrids: An Integrated Approach with K-Means, K-Medoids, and DBSCAN. Preprints2024, 2024090179. https://doi.org/10.20944/preprints202409.0179.v1
APA Style
Carretillo Moctezuma, C. D., Martínez, M. G., Godínez Jaimes, F., García Preciado, J. C., Reyes Carreto, R., Torrones Salgado, J., & Pérez Arriaga, E. (2024). Growth Curve Models and Clustering Techniques for the Study of New Sugarcane Hybrids: An Integrated Approach with K-Means, K-Medoids, and DBSCAN. Preprints. https://doi.org/10.20944/preprints202409.0179.v1
Chicago/Turabian Style
Carretillo Moctezuma, C. D., José Torrones Salgado and Edgar Pérez Arriaga. 2024 "Growth Curve Models and Clustering Techniques for the Study of New Sugarcane Hybrids: An Integrated Approach with K-Means, K-Medoids, and DBSCAN" Preprints. https://doi.org/10.20944/preprints202409.0179.v1
Abstract
Sugarcane (Saccharum spp.) is a crop of great industrial and alimentary importance, essential for the production of numerous products. Given its significance, genetic improvement programs exist that involve a rigorous study process, from material selection to the development of new varieties, requiring at least seven selection phases. This study modeled the growth curve of the sucrose percentage (SP) in 33 hybrids and six control varieties (MEX 69-290, ITV 92-1424, CP 72-2086, COLMEX 94-8, COLMEX 95-27, RB 85-5113) during the plant and ratoon periods in the experimental fields of the Melchor Ocampo Sugar Mill, Jalisco, Mexico. For clustering the materials, k-means, k-medoids, and Density-based spatial clustering of applications with noise (DBSCAN) algorithms were used, considering four maturity types among the control varieties. The DBSCAN algorithm proved to be the most effective, as the means between groups were not statistically equal. The hybrids identified as candidates for subsequent phases due to their high SP were COSTA JAL, ATEMEX 99-48, ATEMEX 99-1, ATEMEX 99-61, MEX 70-486, MEX 80-1521, ITSAMEX 07-44814, ITSAMEX 06-6395, and ITSAMEX 07-1903. These results are crucial for improving the productivity and sustainability of the crop, with significant implications for the sugar industry.
Biology and Life Sciences, Agricultural Science and Agronomy
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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