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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]

Blue mold caused by Penicillium species is a major fungal disease threatening the viticulture industry in Pakistan, responsible for deteriorating the quality of grapes during handling, transportation, and distribution. Identification-based approaches of Penicillium species provide a better strategy on accurate diagnosis and effective management. In this study, 13 isolates were recovered from symptomatic grape bunches at five main fruit markets of Rawalpindi district, Punjab province. Based on morphological data and multi-loci phylogenetic analysis, the isolates were identified as two distinct species viz. Penicillium expansum (eight isolates) and Penicillium crustosum (five isolates). Meanwhile, the pathogenicity test of Penicillium isolates presented by the inoculation of grape bunches showed various degrees of severity. For improving the fruit quality and eliminating the needs of synthetic fungicides, botanicals such as thyme (Thymus vulgaris L.), fennel (Foeniculum vulgare L.), garlic (Allium sativum L.), ginger (Zingiber officinale L.), and carum (Carum capticum L.) essential oils (EOs) at concentrations of 0.6, 0.9, 1.2, and 1.5 mg/mL were evaluated. In vitro studies indicated that thyme EO showed a highly significant reduction of fungal growth. Furthermore, the experiments related to reducing the decay development and average weight loss percentage of grapes revealed similar findings. Based on the results of this study, it is recommended that thyme EO can be used as an eco-friendly botanical fungicide against Penicillium spp. causing blue mold disease.

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]