MYCOLab Ai Logo - gold and army green

Data-Mining Techniques: A New Approach to Identifying the Links Among Hybrid Strains of Pleurotus with Culture Media

Summary

This research used advanced data analysis techniques to identify the best growing conditions for hybrid mushroom strains. The study found that using rice flour as a supplement in growth media produced the best results for mushroom cultivation. This has important implications for sustainable agriculture and food production. Impacts on everyday life: • More efficient mushroom production could lead to lower consumer prices • Utilization of agricultural byproducts (rice flour) reduces waste • Improved cultivation methods can help small-scale mushroom farmers • More sustainable food production methods benefit the environment • Better understanding of growth conditions can lead to higher quality mushrooms

Background

Data mining is the process of extracting understandable and useful information from big data, with its main objective being to find hidden or implicit information which is not possible to obtain by methods of conventional statistics. In agriculture, data-mining techniques are necessary for practical and effective solutions to crop yield estimation and agricultural planning. The Pleurotus genus is one of the most commercialized groups of mushrooms globally, but small-scale production faces challenges like contamination and obtaining quality spawns. Hybrid strains can improve commercial attributes by reducing incubation time and increasing adaptability.

Objective

The main goal was to use data-mining techniques such as the K-medoids clustering algorithm, PCA biplot and the association rules algorithm to identify hybrid strains of Pleurotus ostreatus and Pleurotus djamor using culture media supplemented with agricultural products (rice and soybeans) that obtained the highest values in mycelial and cultural characteristics.

Results

Data-mining tools showed that hybrid strains cultivated on solid-culture media (M1 = malt extract agar and rice flour) and liquid-culture media (L1 = maltose, yeast extract and rice flour) presented the highest mycelial and cultural characteristics. The K-medoids clustering algorithm identified four distinct clusters showing relationships between strains and characteristics. PCA biplot analysis showed accumulated inertia of 97.4% for P. ostreatus and 58.1% for P. djamor.

Conclusion

The data-mining techniques successfully identified links between hybrid strains and culture media performance. Solid culture M1 and liquid culture L1 supplemented with rice flour produced the highest mycelial and cultural characteristics in both Pleurotus species. These results provide good indicators for improving industrial production of edible fungi using rice flour supplementation.
  • Published in:Journal of Fungi,
  • Study Type:Laboratory Research,
  • Source: 10.3390/jof7100882
Scroll to Top