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- 저자 : Fernandez-Zarate Franklin Hitler (검색결과 2 건)
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Franklin Hitler Fernandez-Zarate,Annick Estefany Huaccha-Castillo,Lenin Qui~nones-Huatangari,Segundo Primitivo Vaca-Marquina,Tito Sanchez-Santillan,Eli Morales-Rojas,Alejandro Seminario-Cunya,Marly Gu 한국산림과학회 2022 Forest Science And Technology Vol.18 No.4
Cinchona officinalis, known locally as cascarilla or cinchona, is a plant species native to SouthAmerica. It was used as a source of quinine to combat malaria in the 17th century. The spe-cies is threatened by various anthropogenic activities. Further, the propagation of the spe-cies depends on seed dispersal and its germination capacity. Therefore, it is necessary toconserve and propagate this species. BecauseC. officinalisseeds have a low germinationcapacity, we determined the effect of arbuscular mycorrhizae (AM) on their germination andgrowth. A randomized design was employed with two treatments, one treated with mycor-rhizae (CM) and another without mycorrhizae (SM). For each treatment, three replicates of100 seeds were used. Germination, growth, and fungal characteristics were evaluated. In ger-mination parameters, the CM treatment showed better performance, but the improvementwas statistically insignificant. However, the application of AM significantly improved seedlingheight (cm), root length (cm), leaf area (cm2), and root number by 53.52, 28.72, 29.73, and61.66%, respectively. Likewise, mycorrhization intensity (%), mycorrhization frequency (%),and extraradical mycelium length (cm) in the CM treatment were 37.13, 3.44, and 174.97%higher compared to the SM treatment, respectively. Therefore, the use of AM fungi provesto be advantageous in the propagation ofC. officinalis, and these results provide a basis forthe largescale and sustainable propagation of this species.
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Huaccha-Castillo Annick Estefany,Fernandez-Zarate Franklin Hitler,Pérez-Delgado Luis Jhoseph,Tantalean-Osores Karla Saith,Vaca-Marquina Segundo Primitivo,Sanchez-Santillan Tito,Morales-Rojas Eli,Semin 한국산림과학회 2023 Forest Science And Technology Vol.19 No.1
Non-destructive methods that accurately estimate leaf area (LA) and leaf weight (LW) are simple and inexpensive, and represent powerful tools in the development of physiological and agronomic research. The objective of this research is to generate mathematical models for estimating the LA and LW of Cinchona officinalis leaves. A total of 220 leaves were collected from C. officinalis plants 10months after transplantation. Each leaf was measured for length, width, weight, and leaf area. Data for 80% of leaves were used to form the training set, and data for the remaining 20% were used as the validation set. The training set was used for model fit and choice, whereas the validation set al.lowed assessment of the of the model’s predictive ability. The LA and LW were modeled using seven linear regression models based on the length (L) and width (Wi) of leaves. In addition, the models were assessed based on calculation of the following statistics: goodness of fit (R2), root mean squared error (RMSE), Akaike’s information criterion (AIC), and the deviation between the regression line of the observed versus expected values and the reference line, determined by the area between these lines (ABL). For LA estimation, the model LA¼11.521(Wi) 21.422 (R2¼0.96, RMSE¼28.16, AIC¼3.48, and ABL¼140.34) was chosen, while for LW determination, LW¼0.2419(Wi) 0.4936 (R2¼0.93, RMSE¼0.56, AIC¼37.36, and ABL¼0.03) was selected. Finally, the LA and LW of C. officinalis could be estimated through linear regression involving leaf width, proving to be a simple and accurate tool.
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