Search

The study was aimed to evaluate the effect of essential oils against fungal pathogens including the chemical analysis (GC-MS) of the most effective essential oil.

Poverty, unemployment, and environmental degradation are growing issues and significant challenges to sustainable development. They are visible obstacles to achieving the United Nations Sustainable Development Goals (SDGs). The three ZEROS (zero net carbon emissions, zero poverty, and zero unemployment) within the SDGs have not yet been thoroughly explored and need to be empirically examined. This is the primary aim of this study, which focuses on 10 developing countries in Asia & the Pacific. The study utilized panel data from 1997 to 2021 and a stochastic impact by regression on population, affluence, and technology (STIRPAT) model and implemented the second‐generation panel unit root test, cross‐sectional augmented autoregressive distributed lags (CS‐ARDL), panel fully modified ordinary least squares (FMOLS) approaches, and panel Granger‐causality test. The empirical results of the CS‐ARDL approach vindicate that poverty contributes to the environmental deterioration proxied by CO2 emissions, while the unemployment rate inhibits the environmental damage. The other regressors, namely national income by real gross domestic product per capita, energy use, and population are harming the environment, while technological innovation and digitalization reduce environmental degradation. These results are re‐corroborated by implementing the FMOLS estimator. The Granger causality results reveal a bidirectional causality between poverty and environmental degradation. Therefore, it is essential for management authorities to implement pragmatic public policies that focus on sustainable development strategies, such as investing in education and stimulating sustainable economic growth. This will help to reduce unemployment, improve living standards, decrease poverty, and ultimately achieve the Three Zeros Club initiative and sustainable development goals. [ABSTRACT FROM AUTHOR]

Climate variability affects the phenological, physiological, and morphological adaptability of Kiwifruit. Hence, five Kiwifruit varieties were evaluated under variable rainfed climatic conditions in Pothowar. Phenological data of all five varieties was observed at both study sites, including bud initiation, bud swelling, and bud burst. Goldflesh (GDF) and Green Flesh 1 (GF1) were observed to be late in bud burst and to have poor physio-morphological responses and plant survival rates. In contrast, Hayward (H), Bruno (B), and Greenflesh 2 (GF2) exhibited superior performance in terms of plant physiological and morphological traits (e.g., heat damage percentage, photosynthetic activity, shoot length, t runk diameter, d isease incidence percentage, and survival rate). Greenflesh 2 (GF2) plants at both study locations exhibited a lower percentage of heat damage (4.25 and 5.83) than Greenflesh 1 (6.2 and 9.87) and Goldflesh (6.11 and 8.83), respectively. Bruno had more photosynthetic activity (627.31 and 773.5 mol m-2 sec-1) than Goldflesh (330.49 and 343.71 mol m-2 sec-1) and Greenflesh 1 (346.96 and 354.25 mol m-2 sec-1, respectively). Hayward (112.56 and 183.44 cm) and Bruno (109.98 and 160.39 cm) had longer shoots compared to Greenflesh 1 (44.23 and 71.26 cm) and Goldflesh (62.49 and 111.16 cm). Bruno (1.02 and 1.6 cm) and Hayward (0.93 and 1.56 cm) had a significantly larger trunk diameter than Greenflesh 1 (0.74 and 1.3 cm) and Goldflesh (0.78 and 1.3 cm), respectively. Hayward, Bruno, and Greenflesh 2 were significantly more resistant to disease incidence (0.27, 0.15, and 0.41) and plant survival was high (80%, 78%, and 79%) in all three varieties at both locations. Bruno and Greenflesh 2 proved to be the most productive varieties under variable climate conditions; thus, their material can be used to develop future Kiwifruit ideotypes in rainfed regions. [ABSTRACT FROM AUTHOR]

It is essential for sustainable economic development to comprehend how environmental factors impact public health. This study analyses this relationship in the context of Pakistan using long‐term data. This study aims to determine how environmental factors influence health production function in Pakistan to enlighten policy decisions that can improve human life and advance the cause of sustainable development. We hypothesize, based on prior research, that urbanization and rainfall will increase life expectancy in Pakistan, while deforestation, temperature, and CO2 emissions will decrease it. To verify our theory, we use the autoregressive distributed lag (ARDL) method to calculate the long‐run association between the variables, as well as the Zivot–Andrews and Lee–Strazicich unit root tests to identify structural breaks. Utilizing the bound and Gregory–Hansen co‐integration tests, co‐integration is confirmed. According to ARDL estimates, there are statistically significant correlations between factors that affect Pakistan's life expectancy, such as deforestation, temperature, and CO2 emissions, as well as rainfall and urbanization. The findings of this study underscore the importance of addressing environmental degradation and deforestation in Pakistan. For enhancing human life and achieving sustainable development objectives in the nation, it is essential to modernize forest laws and regulations and adopt eco‐friendly technologies. [ABSTRACT FROM AUTHOR]

This article examines the impact of government effectiveness (GE) and technological innovation on economic growth and environmental degradation in Middle East & North Africa countries. The study utilizes panel data from the period of 2002–2020. The findings indicate that there is a significant and positive relationship between innovation (INV) and CO2 emissions (0.0244), while GE has a significant and negative impact on CO2 emissions (−0.5753). In a similar vein, it can be observed that both INV and government efficacy exert a substantial and favorable influence on the process of economic growth (0.0353 and 0.0773). Furthermore, the interaction of INV and GE showed a noteworthy moderating effect on CO2 emissions (−0.1581). Conversely, it exhibited a more pronounced positive influence on economic growth (0.1122). The study highlights that synergizing INV with GE is essential for attaining sustainable economic growth in the studied area. [ABSTRACT FROM AUTHOR]

Crop growth models can be valuable tools for researchers, academia, extension educators, and policy makers/planners for the evaluation of sustainable and long-term husbandry practices. Determining the optimum sowing window, which can be determined using crop growth models, is imperative under changing climate conditions. Thus, the main objectives herein were to 1) assess the performance of the cropping system model-crop environment resource synthesis-maize model for hybrids and sowing dates in the spring and autumn, and 2) determine the optimum sowing window in 15 districts of Punjab, Pakistan. In the spring experiment, 3 hybrids (P-33M15, M-DK6525, and S-NK8441) were planted in the main plots and then on 5 different sowing dates (January 15th, February 5th, February 25th, March 15th, and April 5th), they were planted in the subplots. In the autumn experiment, 3 hybrids (P-30R50, M-DK6714, and S-NK6621) were planted in the main plots and then on 5 different sowing dates (June 15th, July 5th, July 25th, August 15th, and September 5th), they were planted in the subplots. Model calibration and evaluation results were better in the spring and autumn. Performance of the model was good for the grain yield in the autumn (mean percentage difference (MPD): 7.47% to 8.90%) compared to the spring (MPD: 9.42% to 11.72%). Model evaluation was good for the early sowing dates (January 15th and February 5th) (error range: 6.26% to 9.65%) compared to the delayed dates (February 25th to April 5th) (error range: 9.34 to 14.91%). In the autumn, the model showed better performance for the delayed sowing dates (February 25th and August 15th) (error range: 5.22% to 9.43%) compared to the early dates (June 15th and July 5th) (error range: 8.56% to 11.27%). The model simulated good growth, development, grain yield, and yield components in the spring and autumn and of both 2016 and 2017. For the model application simulation of data over the long-term (1980 to 2017), the optimum sowing window in the spring was January 15th to March 5th and for the autumn it was July 23rd to August 27th for the 15 districts in Punjab, Pakistan. Simulation of the sowing dates for the whole year indicated that the spring was better compared to the autumn for obtaining the maximum grain yield. The results of the model were in line with the recommendations of the agricultural extension department for the sowing window for spring and autumn maize. It is therefore suggested that farmers should complete the sowing of spring and autumn maize within the sowing window to attain a higher yield of maize in arid and semiarid areas of Punjab, Pakistan. [ABSTRACT FROM AUTHOR]

Copyright of Boletín Latinoamericano y del Caribe de Plantas Medicinales y Aromáticas is the property of Universidad de Santiago de Chile and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Potato propagation through tubers and seed is an inefficient way of propagation thus we propose an alternative method in this study which is in vitro propagation. Plantlets were raised from True Potato Seeds (TPS) in test tubes containing 10 mL of Murashige Skoog (MS) medium. Subculturing was done after every 21 days and after four subsequent subculturing, when there was an adequate quantity of stock material, uninodal cuttings of about 3–4 mm in length were prepared from in vitro proliferated potato plants by excising leaves of 1–2 mm on each side of the node. Prepared uninodal cuttings were cultured on ½ strength MS medium for root primordia development. The selected uninodal cuttings with root primordia were encapsulated with sodium alginate solution (3.5% (w/v), mixed with 1.25% charcoal and different concentration of fungicide (thiophanate methyl, sigma) to enhance the viability percentage of synthetic seed. Furthermore, these encapsulated uninodal cuttings were subjected to different storage intervals to check maximum storage. Results showed that optimum dose for fungicide is 150 mg/L as it resulted in good viability percentage, shoot number, shoot length, rooting percentage, root number, root length and ideal for bead formation with sodium alginate. Similarly, results revealed that encapsulated uninodal cuttings can be stored at a temperature of 4°C up to 45 days with a survival rate of 63.33%. Encapsulated uninodal cutting stored for 60 days showed a poor viability percentage of about 43.03%. It can be concluded that optimum dose of 150 mg/L with storage time of 45 days should be used to get a better outcome for synthetic potato seed production. [ABSTRACT FROM AUTHOR]