Accurate and non-destructive estimation of palmate compound leaf area in cassava (Manihot esculenta Crantz) based on morphological traits of its selected lobes
Article Sidebar
Main Article Content
Abstract
Results indicated that total area of cassava compound leaf showed the best-predicted (R2 = 0.9847) using LW of middle lobe using the zero-intercept linear regression; for faster and simpler data collection, L of middle lobe was selected as predictor and the power regression was utilized in estimation of LA (R2 = 0.9299); a more complicated predictor using average LW of middle, left-most, and right-most lobes combined with number of lobes (NoL) did not significantly increase accuracy (R2 = 0.9882) compared to that using LW of middle lobe as predictor. L/W ratio was more consistent in large lobes, especially for the middle lobes (STD = 0.259). Model validation assured that all predictors combined with each appropriate models were reliable; therefore, they are recommended for estimating LA of the cassava leaf
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Carvalho, J. O., Toebe, M., Tartaglia, F. L., Bandeira, C. T. and Tambara, A. L. (2017). Leaf area estimation from linear measurements in different ages of Crotalaria juncea plants. Anais da Academia Brasileira de Ciências, 89:1851-1868.
Easlon, H. M. and Bloom, A. J. (2014). Easy Leaf Area: Automated digital image analysis for rapid and accurate measurement of leaf area. Applications in plant sciences, 2:e1400033. https://doi.org/10.3732/apps.1400033.
Fanourakis, D., Kazakos, F. and Nektarios, P. A. (2021). Allometric individual leaf area estimation in chrysanthemum. Agronomy, 11:e795. https://doi.org/10.3390/agronomy11040795.
Ghadami-Firouzabadi, A., Raeini-Sarjaz, M., Shahnazari, A. and Zaraebyaneh, H. (2015). Non-destructive estimation of sunflower lead area and leaf area index under different water regime managements. Archives of Agronomy and Soil Science, 61:1356-1367.
Ghoreishi, M., Hossini, Y. and Maftoon, M. (2012). Simple models for predicting leaf area of mango (Mangifera indica L.). J Biol Earth Sci 2:B45-B53.
Giaccone, M., Pannico, A., Scognamiglio, P., Rivera, C. M., Cirillo, C., Rouphael, Y., Pascale, S. and Basile, B. (2017). Regression model for leaf area estimation in Ficus carica L. Acta Horticulturae, 1173:163-168.
Hauser, S., Bakelana, Z., Bungu, D. M., Mwangu, M. K. and Ndonda, A. (2021). Storage root yield response to leaf harvest of improved and local cassava varieties in DR Congo. Archives of Agronomy and Soil Science. https://doi.org/10.1080/03650340.2020.1800647.
Hinnah D. H., Heldwein A. B., Maldaner I. C., Loose L. H., Lucas D. D. P. and Bortoluzzi M. P. (2014). Estimation of eggplant leaf area from leaf dimensions. Bragantia, 73:213-218.
Huang, W., Ratkowsky, D. A., Hui, C., Wang, P., Su, J. and Shi, P. (2019). Leaf fresh weight versus dry weight: which is better for describing the scaling relationship between leaf biomass and leaf area for broad-leaved plants? Forests, 10:e256. https://doi.org/10.3390/f10030256.
Karim, M. R., Fakir, M. S. A., Mostafa, M. G. and Prodhan, A. K. M. A. (2010). Leaf area estimation by linear regression models in cassava (Morphotypes: Philippine). Journal of Agroforestry and Environment, 4:17-22.
Koubouris, G., Bouranis, D., Vogiatzis, E., Nejad, A. R., Giday, H., Tsaniklidis, G., Ligoxigakis, E. K., Blazakis, K., Kalaitzis, P. and Fanourakis, D. (2018). Leaf area estimation by considering leaf dimensions in olive tree. Scientia Horticulturae, 240:440-445.
Krajang, M., Malairuang, K., Sukna, J., Rattanapradit, K. and Chamsart, S. (2021). Single-step ethanol production from raw cassava starch using a combination of raw starch hydrolysis and fermentation, scale-up from 5-L laboratory and 200-L pilot plant to 3000-L industrial fermenters. Biotechnology for Biofuels, 14:1-15.
Lakitan, B., Iwanaga, H., Kartika, K., Kriswantoro, H. and Sakagami, J. I. (2018a). Adaptability to varying water levels and responsiveness to NPK fertilizer in yellow velvetleaf plant (Limnocharis flava). Australian Journal of Crop Science, 12:1757-1764.
Lakitan, B., Kartika, K., Susilawati, S. and Wijaya, A. (2021). Acclimating leaf celery plant (Apium graveolens) via bottom wet culture for increasing its adaptability to tropical riparian wetland ecosystem. Biodiversitas, 22:320-328.
Mack, L., Capezzone, F., Munz, S., Piepho, H. P., Claupein, W., Phillips, T. and Graeff‐Hönninger, S. (2017). Nondestructive leaf area estimation for chia. Agronomy Journal, 109:1960-1969.
Marx, S. (2019). Cassava as feedstock for ethanol production: a global perspective. In Bioethanol production from food crops. pp 101-113. Academic Press, Cambridge, Massachusetts, US.
Meihana, M., Lakitan, B., Harun, M. U., Widuri, L. I., Kartika, K., Siaga, E. and Kriswantoro, H. (2017). Steady shallow water table did not decrease leaf expansion rate, specific leaf weight, and specific leaf water content in tomato plants. Australian Journal of Crop Science, 11:1635-1641.
Munyahali, W., Pypers, P., Swennen, R., Walangululu, J., Vanlauwe, B. and Merckx, R. (2017). Responses of cassava growth and yield to leaf harvesting frequency and NPK fertilizer in South Kivu, Democratic Republic of Congo. Field Crops Research, 214:194-201.
Nabila, A. R. and Noer, R. A. (2018). Estimation leaf area based on stem and petiole character in some banana cultivars. Plant Production Journal, 6:260-263.
Okareh, O., Ajayeoba, T., Ugbekile, O. and Hammed, T. (2021). The use of cassava leaves as food and medicinal herbs in rural communities and the perceived health risks. Bionature, 41:19-38.
Pipatsitee, P., Eiumnoh, A., Praseartkul, P., Ponganan, N., Taota, K., Kongpugdee, S., Sakulleerungroj, K. and Suriyan, C. U. (2019). Non-destructive leaf area estimation model for overall growth performances in relation to yield attributes of cassava (Manihot esculenta Cranz) under water deficit conditions. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 47:580-591.
Pompelli, M. F., Antunes, W. C., Ferreira, D. T. R. G., Cavalcante, P. G. S., Wanderley-Filho, H. C. L. and Endres, L. (2012). Allometric models for non-destructive leaf area estimation of Jatropha curcas. Biomass and Bioenergy 36:77-85.
Shi, P., Liu, M., Ratkowsky, D. A., Gielis, J., Su, J., Yu, X., Wang, P., Zhang, L., Lin, Z. and Schrader, J. (2019). Leaf area–length allometry and its implications in leaf shape evolution. Trees, 33:1073-1085.
Widuri, L. I., Lakitan, B., Hasmeda, M., Sodikin, E., Wijaya, A., Meihana, M., Kartika, K. and Siaga, E. (2017). Relative leaf expansion rate and other leaf-related indicators for detection of drought stress in chili pepper (Capsicum annuum L.). Australian Journal of Crop Science, 11:1617-1625.
Zanetti, S., Pereira, L. F.M., Saratori M. M. P. and Silva, M. A. (2017). Lead area estimation of cassava from linear dimensions. Anais da Academia Brasileira de Ciências, 89:1729-1736.
Zoungranan, Y., Lynda, E., Dobi-Brice, K. K., Tchirioua, E., Bakary, C. and Yannick, D. D. (2020). Influence of natural factors on the biodegradation of simple and composite bioplastics based on cassava starch and corn starch. Journal of Environmental Chemical Engineering, 8: e104396. https://doi.org/10.1016/j.jece.2020.104396.
