Mehdi Jamei¹, Nadjem Bailek^2,*, Kada Bouchouicha³, Muhammed A. Hassan⁴, Ahmed Elbeltagi⁵, Alban Kuriqi⁶, Nadhir Al-Ansar⁷, Javier Almorox⁸, El-Sayed M. El-kenawy^9,10

CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 1625-1640, 2023, DOI:10.32604/cmc.2023.031406

Abstract Solar energy represents one of the most important renewable energy sources contributing to the energy transition process. Considering that the observation of daily global solar radiation (GSR) is not affordable in some parts of the globe, there is an imperative need to develop alternative ways to predict it. Therefore, the main objective of this study is to evaluate the performance of different hybrid data-driven techniques in predicting daily GSR in semi-arid regions, such as the majority of Spanish territory. Here, four ensemble-based hybrid models were developed by hybridizing Additive Regression (AR) with Random Forest (RF), Locally Weighted Linear Regression (LWLR),… More >

Xiaolan Guo^1,2, Di Zhao², Jinbin Hu³, Delu Wang^2,*, Jianbin Wang¹, Muhammad Shakeel⁴

Phyton-International Journal of Experimental Botany, Vol.92, No.1, pp. 209-223, 2023, DOI:10.32604/phyton.2022.023050

Abstract

To evaluate the effects of nitrogen (N) and irrigation coupling on the soil N distribution, plant N utilization, and fruit yield of rabbiteye blueberries (Vaccinium virgatum), a field experiment was designed using two factors (water and fertilizer application) with four levels of irrigation and three levels of fertilization, and a control. Under the different water and fertilizer combinations, N primarily accumulated in the leaves. Irrigation and N application within appropriate ranges (pure N ≤ 29 g/plant and irrigation volume ≤ 2.5 L/plant) significantly improved the blueberry fruit yield. Increases in water and N within these ranges promoted the effective accumulation… More >

El-Sayed M. El-Kenawy^1,2, Abdelhameed Ibrahim³, Nadjem Bailek^4,*, Kada Bouchouicha⁵, Muhammed A. Hassan⁶, Basharat Jamil⁷, Nadhir Al-Ansari⁸

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5837-5854, 2022, DOI:10.32604/cmc.2022.023257

Abstract In order to achieve a highly accurate estimation of solar energy resource potential, a novel hybrid ensemble-learning approach, hybridizing Advanced Squirrel-Search Optimization Algorithm (ASSOA) and support vector regression, is utilized to estimate the hourly tilted solar irradiation for selected arid regions in Algeria. Long-term measured meteorological data, including mean-air temperature, relative humidity, wind speed, alongside global horizontal irradiation and extra-terrestrial horizontal irradiance, were obtained for the two cities of Tamanrasset-and-Adrar for two years. Five computational algorithms were considered and analyzed for the suitability of estimation. Further two new algorithms, namely Average Ensemble and Ensemble using support vector regression were developed… More >

Mirassón HR¹, IR Palomo², RE Brevedan², MN Fioretti²

Phyton-International Journal of Experimental Botany, Vol.80, pp. 147-151, 2011, DOI:10.32604/phyton.2011.80.147

Abstract Safflower production is mainly concentrated in northwestern Argentina although the most suitable area for its production is the central, Semiarid Pampean Region. The response of different varieties able to produce high sustainable yields was studied under different environments, with the idea of promoting these varieties in the study region. Six variety trials were carried out at two locations in the study area, Santa Rosa (La Pampa, 36° 39’ S, 64° 16’ W) and Tres Picos (Buenos Aires, 38° 16’ S, 62° 13’ W), during several years. Relative yield was used as a measure of safflower stability. Varieties S-541, S-200 and… More >

Orozco-Vidal JA¹, P Yescas-Coronado¹, MA Segura-Castruita¹, R Valdez-Cepeda², E Martínez-Rubín de Celis¹, JA Montemayor-Trejo¹, M Fortis-Hernández¹, P Preciado-Rangel¹

Phyton-International Journal of Experimental Botany, Vol.80, pp. 47-52, 2011, DOI:10.32604/phyton.2011.80.047

Abstract The development of three cotton varieties was evaluated through the growth analysis technique. Study varieties were two of normal leaf (Cian Precoz and NuCotton 35B) and the other of okra leaf (Fiber Max 832). Vegetative and reproductive samplings effected at different days after planting (dap) allowed us to determine the (1) growth dynamics, (2) production efficiency and (3) the biomass distribution of the three cotton varieties. Seeding was conducted following the production system of narrow rows (0.76m, between rows; 0.20m between plants) to obtain a plant density of 65500 plants/ha. Varieties were distributed in a random block experimental design with… More >

Tizón¹ FR, DV Peláez^1,2,3, OR Elía^1,2

Phyton-International Journal of Experimental Botany, Vol.79, pp. 141-146, 2010, DOI:10.32604/phyton.2010.79.141

Abstract Fire plays a fundamental role in the structure of vegetation communities in the Caldenal. However, this effect has decreased considerably since the introduction of domestic cattle, which reduces the amount of fine combustible material. Objectives of this study were (1) to analyze the diversity and composition of a typical vegetation community in the south of the Caldenal after exposure to different fire frequencies, and (2) to show the convenience of using controlled fire for reversing the processes of scrub formation to states with more diverse and productive grassland communities. Forty-five herbaceous and woody species were recorded. Treatment C (control) showed… More >