Ferri CM, VV Jouve, AM Sáenz

Phyton-International Journal of Experimental Botany, Vol.86, pp. 190-198, 2017, DOI:10.32604/phyton.2017.86.190

Abstract The defoliation frequency determines above and below ground biomass accumulation, pasture structure and nutritive value. Two defoliation experiments with Panicum coloratum were performed, from September to March. One of them was conducted in pots under greenhouse conditions, and the other one in field plots for three growing seasons (EC) at the Faculty of Agronomy, La Pampa, Argentina (36˚ 46' S; 64˚ 16' W). Defoliation frequency treatments were four cutting intervals (IC; 3, 4, 6 and 8 weeks). In greenhouse experiment, live leaf blade accumulation rates (TAL), tiller appearance (TAM) and death (TMM) rates, live leaf blade… More >

Peng M^1,2, FL Huang^1*, FJ Meng², BZ Hu^3*, XF Chen¹, R Luo⁴, N Li¹, RF Wang¹, Y Zhao¹, QW Zou¹, CT Wu¹, JL Dai⁵

Phyton-International Journal of Experimental Botany, Vol.86, pp. 296-305, 2017, DOI:10.32604/phyton.2017.86.296

Abstract Chinese herbaceous peony (Paeonia lactiflora Pall.) is a popular ornamental plant. However, little is known about its reproductive biology by histological analyses. Here, we used the paraffin wax method to study the reproductive biology of the Chinese herbaceous peony (Paeonia lactiflora ‘Dafugui’). The results showed that the flower bud of Chinese herbaceous peony was a mixed bud. The course of flower bud differentiation included some developmental morphology periods, such as bract, calyx, petal, stamen, and pistil. The anther wall development was related to a dicotyledonous type. Pollen was mainly 2-celled, only few of them were 3-celled. Moreover, More >

Cabrera M¹, M Perez², L Gallez^3,4, A Andrada³, G Balbarrey³

Phyton-International Journal of Experimental Botany, Vol.86, pp. 124-130, 2017, DOI:10.32604/phyton.2017.86.124

Abstract Our objective was to correlate colour with total phenolic compounds, total flavonoids and antioxidant capacity of honey from the Humid Chaco region. With this purpose, 19 representative samples were selected from the 2009-2012 year period. Pollen analysis showed a predominance of native species of different landscapes such as forests and wetlands. Of the total number of samples, eleven were mixed or multifloral and eight samples were dominated by different native nectariferous woody species. The colour of honey, according to the Pfund scale, ranged from extra light amber to dark amber. Total phenolic content ranged from… More >

Villa-Hernández JM¹, B García-Ocón², E del C Sierra-Palacios², C Pelayo-Zaldivar³, F Díaz de León-Sánchez¹, LJ Pérez-Flores¹, JA Mendoza-Espinoza²

Phyton-International Journal of Experimental Botany, Vol.87, pp. 72-78, 2018, DOI:10.32604/phyton.2018.87.072

Abstract Mexico bears witness to a long-standing tradition in the use of plants for medicinal purposes; nevertheless, standardized methodological approaches for the proper identification of these are still needed. The problem is especially noticeable during the validation of ingredients in herbal preparations, as so many of them are sold as powders. It is for these reasons that the present study aims to compare the results of classic taxonomical assessments with those obtained using more modern molecular techniques (e.g. PCR-amplified 18S ribosomal RNA gene analysis) in one ethnobotanical case-study carried out in the “Desierto de los Leones” National… More >

Han Li¹, Tianding Chen^{2, *}, Hualiang Teng³, Yingtao Jiang⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.118, No.2, pp. 253-274, 2019, DOI:10.31614/cmes.2019.05807

Abstract In any classical value-based reinforcement learning method, an agent, despite of its continuous interactions with the environment, is yet unable to quickly generate a complete and independent description of the entire environment, leaving the learning method to struggle with a difficult dilemma of choosing between the two tasks, namely exploration and exploitation. This problem becomes more pronounced when the agent has to deal with a dynamic environment, of which the configuration and/or parameters are constantly changing. In this paper, this problem is approached by first mapping a reinforcement learning scheme to a directed graph, and… More >

Hui Qiao¹, Jingzhao Cui¹, Shuiping Ouyang¹, Jinjie Shi², Jia Ouyang^1,3,*

Journal of Renewable Materials, Vol.7, No.11, pp. 1197-1207, 2019, DOI:10.32604/jrm.2019.07735

Abstract As an important agricultural waste, corn cob is one of the most abundant lignocellulosic biomass. In this work, dilute acid pretreatment using seven different organic acids were compared for compositional analysis of corn cob. The first pKa of organic acids, influenced by the number and type of the side group and distance between two carboxylic groups, played a crucial role in the pretreatment effect. Citric acid was found to have better pretreatment performance than other tested dicarboxylic acids. Under the condition of 30 mM, 160°C and 60 min, the level of xylose reached 22.64 g/L More >

Ruozhu Lin¹, Bei Cui^1,2 and Wenxia Zhao^1,*

Phyton-International Journal of Experimental Botany, Vol.88, No.3, pp. 285-293, 2019, DOI:10.32604/phyton.2019.07182

Abstract The flowers of the hemiparasitic family Loranthaceae are always subtended by a rimmed structure known as the calyculus. The origin and identity of the calyculus have been disputed for more than a century. Various hypotheses have been proposed, for example, an outgrowth of the axis, a reduced calyx, and a bracteolar (prophyllar) origin, but controversies remain. To obtain a plausible explanation of the origin of the calyculus, we investigated the flowers of Loranthus tanakae using scanning electron microscopy and light microscopy to observe the entire developmental process of the floral parts. Our results show that… More >

V. Mendez-Trujillo¹, B. Valdez-Salas², M. Carrillo-Beltran², M. A. Curiel-Alvarez², O. Tzintzun-Camacho³, C. Ceceña-Duran³ and D. Gonzalez-Mendoza^3,*

Phyton-International Journal of Experimental Botany, Vol.88, No.3, pp. 269-275, 2019, DOI:10.32604/phyton.2019.07316

Abstract Phenacoccus solenopsis has been recognized as an aggressively invasive species on cotton plants in different countries. This study was conducted to investigate the effect of green synthesized Cu/Zn-nanoparticles using aqueous leaf extract of Prosopis juliflora (mezquite) against P. solenopsis. The scanning electron microscope (SEM) showed bimetallic nanoparticles of Cu/Zn-NPs with spherical shape with varying size of 74.33 nm to 59.46 nm. More than 30% mortality of P. solenopsis was observed with Cu/Zn-nanoparticles (100 ppm) at 96 hours after treatment. Negligible mortality of P. solenopsis was recorded with Cu/Zn solution (100 ppm) and aqueous P. juliflora More >

Noureddine Baaka^1,*, Manel Ben Ticha^1,2, Wafa Haddar^1,3, Mohamed Farouk Mhenni¹

Journal of Renewable Materials, Vol.7, No.3, pp. 289-300, 2019, DOI:10.32604/jrm.2019.04355

Abstract Acrylic fibres are highly crystalline and non-polar polymers, which makes their dyeing a very difficult step that poses real technical challenges. In order to overcome this concern, it is intended in this paper to modify acrylic fibers by different methods namely cationisation using the Crosscolor DRT then amidoximation using hydroxylamine hydrochloride and ammonium acetate. The resulted samples were dyed then with the bio-colorant extracted from grape marc. The effect of the pretreatment on fibers fine structure using X-ray diffraction and the scanning electron microscope (SEM) images and its correlation with the colour strength of the More >

Haoran Zhu¹, Demin Gao^1,2,*, Shuo Zhang¹

Journal on Internet of Things, Vol.1, No.1, pp. 25-31, 2019, DOI:10.32604/jiot.2019.05897

Abstract Forest fire prediction constitutes a significant component of forest management. Timely and accurate forest fire prediction will greatly reduce property and natural losses. A quick method to estimate forest fire hazard levels through known climatic conditions could make an effective improvement in forest fire prediction. This paper presents a description and analysis of a forest fire prediction methods based on machine learning, which adopts WSN (Wireless Sensor Networks) technology and perceptron algorithms to provide a reliable and rapid detection of potential forest fire. Weather data are gathered by sensors, and then forwarded to the server, More >