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Abstract Genetic diversity plays a critical role in crop improvement. Radish is one of the important vegetable crops of Rabi season, however, there is a lack of information about radish germplasm resources available in Pakistan. The present research was carried out to characterize radish gene pool on the basis of qualitative and quantitative traits. Twelve genotypes of radish comprised of local and exotic sources were evaluated for genetic variability through morphological, quality, and quantitative traits. Analysis of variance depicted maximum variation among genotypes for all studied straits. High genotypic co-efficient of variance (GCV) value (>20%) in all traits indicates that these traits can be improved through selection. The estimate of genotypic co-efficient of variance (GCV) in present research was closer to phenotypic co-efficient of variance (PCV), suggesting the key role of genotype as compared to the environment. However, high heritability along with genetic advance (as % of mean) among studied genotypes suggests that the selection of studied traits simply on phenotypic basis can also be effective for the breeding program. Cluster analysis based on morphological traits, grouped genotypes into three clusters and cluster I, contained the maximum number of genotypes. In correlation analysis, significant positive correlation among plant fresh weight, root length, root weight, number of leaves and yield can be directly used a selection criteria. Studying of variability in qualitative traits through frequency distribution exhibited maximum variation for root shape and root base. This study showed considerable variability exists in studied genotypes that can further be used for the improvement of radish breeding.

Identifying the molecular and genetic basis of resistance to Sclerotinia stem rot (Sclerotinia sclerotiorum) is critical for developing long-term and cost-effective management of this disease in rapeseed/canola (Brassica napus). Current cultural or chemical management options provide, at best, only partial and/or sporadic control. Towards this, a B. napus breeding population (Mystic x Rainbow), including the parents, F1, F2, BC1P1 and BC1P2, was utilized in a field study to determine the inheritance pattern of Sclerotinia stem rot resistance (based on stem lesion length, SLL). Broad sense heritability was 0.58 for SLL and 0.44 for days to flowering (DTF). There was a significant negative correlation between SLL and stem diameter (SD) (r = −0.39) and between SLL and DTF (r = −0.28), suggesting co-selection of SD and DTF traits, along with SLL, should assist in improving overall resistance. Non-additive genetic variance was evident for SLL, DTF, and SD. In a genome wide association study (GWAS), a significant quantitative trait locus (QTL) was identified for SLL. Several putative candidate marker trait associations (MTA) were located within this QTL region. Overall, this study has provided valuable new understanding of inheritance of resistance to S. sclerotiorum, and has identified QTL, MTAs and transgressive segregants with high-level resistances. Together, these will foster more rapid selection for multiple traits associated with Sclerotinia stem rot resistance, by enabling breeders to make critical choices towards selecting/developing cultivars with enhanced resistance to this devastating pathogen.

Seasonal climatic variability is a key challenge in many grape-growing regions across the globe, affecting phenology, growth, physiological responses, and yield at harvest. Unfavourable climatic conditions impair the plant's physiological processes, such as chlorophyll accumulation, gas exchange and photosynthesis in grapevine leaves. It is critical to unlock the complex physiological behaviour of grapevine cultivars at key phenological stages and under varying environmental conditions. The present study was designed to evaluate the key physiological processes, such as gas exchange, chlorophyll contents and water use efficiency (WUE), of four table grape cultivars at key growth stages under varying environmental conditions of the Pothwar region, in a factorial experimental set up (Location× Year × Cultivar × Phenological stage). The physiological responses of the table grape cultivars were recorded at the 5-leaf stage, full bloom, berry set, veraison and harvest during two consecutive vintages (2019 and 2020) in two locations (Islamabad and Chakwal). The results show that the mean photosynthetic activity in colder Islamabad was 30.7 % higher than in Chakwal, and the transpiration rate and WUE were 10.4 % and 28.6 % higher. Similarly, 12 % higher photosynthetic activity, with 13 % more WUE, was observed in the colder vintage of 2020 compared to that of 2019. The vine physiological activity also varied among cultivars; for example, cv. Sugraone was found to have 12 % more chlorophyll and 30 % higher photosynthetic activity than cv. Kings Ruby. Similarly, higher photosynthetic activity and transpiration rates were recorded at the berry set stage, while WUE peaked near blooming. The biplot analysis for the first two principal components also showed cv. Sugraone to be a highly responsive and physiologically efficient cultivar. The findings of the present research will help to better assess the effect of seasonal variability on vine physiological performance and to identify genotypes with higher photosynthetic potential and WUE. It could also assist in devising vineyard management strategies to better adapt to varying environmental conditions.

Abstract Background Bactrocera cucurbitae (Coquillett) (Diptera: Tephritidae) is the most destructive pest of bitter gourd. Conventionally, it is controlled by chemical insecticides despite their hazardous impacts. Entomopathogenic fungi are considered as eco-friendly and safer alternative of chemical. This study aimed to evaluate the efficacy of Beauveria bassiana and Metarhizium anisopliae against B. cucurbitae on bitter gourd. Results The study revealed that B. bassiana and M. anisopliae were efficient against B. cucurbitae in controlled as well as field conditions. Both mode of application (i.e., contact and oral) were found to be effective; however, high efficacies of them were observed through contact application (73.43 and 59.72%), respectively. Pathogenicity of both fungi increased with increase in concentration and time intervals. Under field conditions, significantly low fruit infestations and significantly a high population reduction of B. cucurbitae were observed at 30 DAT when both fungi were applied with 108 CFU/ml concentrations. Conclusions Beauveria bassiana and M. anisopliae had the potential to be used against B. cucurbitae; however, the former showed high efficiency comparatively.

The loss of fresh fruits after harvesting is not new since it has constantly been a challenge for humankind. The growing population in developing countries, where food shortages exist, require serious food security measures to address hunger and malnutrition. Present research focused on the development, fabrication and testing of mango pulp extractor to assist small-scale fruit farmers in the countryside with a view to minimizing fruit spoilage. The unit, whose major material was food grade stainless steel (SS-304), consists of major components such as teflon brushes mounted shaft, motor, main frame, hopper, extraction compartment, pulp outlet, fruit residue outlet, perforated sieve and bearings. After construction, the machine was tested at three feed rate (2.0, 2.5, 3.0 kg/min) and extraction speed levels (500, 900 and 1400 rpm). Each of these factors was replicated three times, which resulted into 3 × 3 × 3 factorial experimental design. The optimum operating parameters for maximum pulp yield, maximum extraction efficiency and minimum extraction losses were determined. The physicochemical analysis of the extracted pulp was also carried out. Results revealed a maximum pulp yield of 77.9%, highest extraction efficiency of 96.03% and highest extraction loss of 9.3%. The mango pulp extraction machine was found to be affordable, easy to operate and maintain. The breakeven point of the machine was found to be 40 h if the machine is operated at its peak capacity. Therefore, it is recommended for small-scale farmers and for cottage industry.

Abstract Kinnow orchards grown in different agro-ecological regions of Punjab, Pakistan, namely Sargodha, Toba Tek Singh (TTS) and Vehari districts, were selected to assess the effect of climate variables on fruit-bearing patterns. Experiment was laid out in RCBD while selecting identical features Kinnow plants and labeled twigs at analogous canopy positions in all three sites. Temperature was reported higher in TTS and Vehari areas, while relative humidity in Sargodha accounted for different levels of agrometeorological indices by computing more variations in warm districts. Climate variables influenced fruit-bearing habits and vegetative growth trend in all three flushes while recording heavy fruit-bearing plants during on-year and light fruit-bearing in off-year at Vehari. Similarly, three vegetative flushes were recorded unevenly in all three sites due to different fruit-bearing patterns induced by climate variables. Harvesting pattern of orchards began earlier in Sargodha, where maximum orchards were harvested before new flowering to add evenness to fruiting habits during on & off-years. In warm conditions, fruit ripening arrived in the peak of winter and mostly domestic market-driven harvesting resulted in late start of fruit picking with more erratic fruit-bearing habits. Both physiological and pathological fruit drops have been significantly affected by climate variables with a higher degree of physiological drop in warm regions and pathological effects in the humid conditions of Sargodha on heavy fruit-bearing plants. Fruit yield and grading quality were also affected in both seasons by showing more asymmetrical trend in yield and fruit grading in warm areas of TTS and Vehari due to an irregular fruiting pattern compared to Sargodha. From now on, the climate variables of the three sites directly influenced the fruiting patterns, vegetative flushes, fruit drops, yields and grades of Kinnow mandarin.

Global warming negatively affects plant growth due to the detrimental effects of high temperature-induced heat stress. Rhizobium inoculation (RI) and exogenous melatonin (MT) have shown a positive role in resisting abiotic stress. However, their synergistic effect on avoiding heat-induced damages in Medicago truncatula has not been studied yet. Hence, the objective of the present study was to evaluate the impact of these amendments (RI and MT) to ameliorate the heat damages in Medicago truncatula. The study was comprised of two factors: (1) heat-induced stress: (i) optimum temperature (26 ± 1°C): (23 ± 1°C) (day: night), (ii) moderate heat (35 ± 1°C): (28 ± 1°C), and (iii) severe heat (41 ± 1°C): (35 ± 1°C) for 72 h, and (2) amendments: (i) no RI + no MT (NRI + NMT), (ii) Rhizobium inoculation (RI), (iii) 60 μM melatonin (MT), and (iii) RI + MT. Results showed that the combined application of RI and MT was better than their individual applications, as it prevented heat-induced membrane damages by declining the hydrogen peroxide (34.22% and 29.78%), superoxide anion radical (29.49% and 26.71%), malondialdehyde contents (26.43% and 21.96%), and lipoxygenase activity (44.75% and 25.51%) at both heat stress levels as compared to NRI + NMT. Moreover, RI + MT treated plants showed higher antioxidative and methylglyoxal detoxification enzymes (Gly I and Gly II) activities under heat stress. While, NRI + NMT treated plants showed a higher level of methylglyoxal contents (47.99% and 46.71%) under both levels of heat stress. Relative to NRI + NMT plants, RI + MT pretreated plants exhibited improved heat tolerance as indicated by higher chlorophyll (37.42% and 43.52%), carotenoid contents (32.41% and 47.08%), and photosynthetic rate (42.62% and 64.63%), under moderate and severe heat stress, respectively. Furthermore, RI + MT pretreated plants had considerably higher indole-3 acetic acid and abscisic acid concentrations under moderate (54.02% and 53.92%) and severe (68.36% and 64.61%) heat stress conditions. Similarly, plant dry biomass, NPK uptake, nitric oxide, and nitrate reductase activity were high in RI + MT treated plants, under both levels of stress. Therefore, this study advocates the positive synergistic effect of RI and MT pretreatment against moderate and severe heat-induced stress and for possible maintenance of plant growth under changing scenarios of global warming.

Oat predominately cultivated as forage crop and is not explored for its value-added bioactive moieties. This study was aimed to characterize five selected oat (Avena sativa L.) cultivars with respect to organic sugars, antioxidant activities, pesticide residues, mycotoxin and phenolic acids as measured HPLC. Five indigenous oat cultivars (Avon, PD2LV65, S2000, SGD2011, SGD81) were profiled for seven phenolic acids (gallic acid, vanillic acid, caffeic acid, syringic acid, p-coumaric acid, chlorogenic acid and ferulic acid). Highest concentrations of vanillic acid, gallic acid, caffeic acid, syringic acid, ferulic acid, p-coumaric acid and chlorogenic acid were detected in the SGD2011, SGD81, S2000, SGD2011, S2000, SGD2011 and PD2LV65 respectively. TPC in case of all oat cultivars ranged 50.88–101.56 mg/100 g. Among all oat cultivars, SGD-81 exhibited the highest DPPH activity, TPC, TFC and TFoC contents whereas, SGD-2011 showed the highest total anthocyanin content followed by AVON. S2000 showed the highest concentration of mycotoxin M1 (18.51 ppm), while lowest M1 content (10.51 ppm) were exhibited by SGD-81. Abamectin and permethrin pesticide residues were undetected in oat cultivars whereas, Dieldrin was only detected in SGD-81 and chloropyrifos was not detected in S2000 and SGD-81. Mandipropamid, parathion methyl, chlorthalonil, indoxacarb and lufernon were detected in the highest concentrations in SGD2011 and S2000 oat cultivars. Moreover, fructose, glucose and sucrose were found in highest amounts in S2000, PD2LV65 and SGD2011, respectively. Conclusively, it was evident from the results that SGD-81, SGD2011 and SG2000 could be utilized as source of important and promising phytochemicals of nutraceutical significance. Moreover, significant potential of these oat cultivars can be harnessed owing to value addition and exploitation in formulations of functional food ingredients and foodstuffs.

Abstract: Olive is grown in semi-arid climatic conditions; however, little is known about mineral changes in olive plant and nutrient requirements during the production period. Hence, the current study was conducted under Pothwar agro-climatic conditions in order to select appropriate stage of macronutrients (N, P, K) application in relation to soil and leaf nutritional status during 2017 and 2018 growing seasons. Soil and leaf analysis were performed at four different phenological stages (i.e. flowering, fruit setting, fruit enlargement and fruit maturity stages). The results revealed that the assessed macronutrient in leaf and soil varied significantly among varieties, phenological stages and growing year. The results revealed also that nitrogen level was found to decrease from fruit set (1.56%) to fruit enlargement stage (1.47%). Leaf and soil N, P and K contents were found higher before the flowering (stage 1) and depleted after fruit harvesting (stage 4), regardless of olive varieties. However, high yielding varieties showed lower nutrients after fruit harvesting (stage 4). Therefore, N content in leaf and soil gradually decreased during fruit growth and development. Whereas, K content in leaf and soil sharply declined from fruit maturity to fruit ripening stage. Overall, the trend of nutrient depletion showed that plants need phosphorus for fruit setting, nitrogen before and after fruit setting, and potash after pit hardening or at oil accumulation stages.

All tropical and subtropical areas of the world are suitable for citrus cultivation. In managing fertilizer application efficiency in orchards, variable-rate technology (VRT) has been demonstrated to be an important element. This article aims to study the significance of variable-rate fertilization for citrus in the arid region of Pakistan. The NPK was calculated before the application of the variable-rate fertilizer. The plant height and stem girth were determined before and after fertilizer application. The preliminary results revealed that the stem girth performed significantly better than the plant height after applying fertilizer by VRT. The preliminary results showed a significant difference in the fruit yield between the VRT and uniform-rate fertilizer application.

Technology integration between the farm and the consumer is at the heart of digital agriculture. New technologies for developing countries, such as vertical indoor farming that uses automation and robots, might speed up the elimination of rural poverty and hunger worldwide. Significant technical developments include state-of-the-art greenhouse techniques, laser-guided precision farming, AI, and blockchain. Connected farm machinery collects data that may then be used to research the soil and climate of a given area, allowing experts to offer advice on seed selection and the optimal timing for applying pesticides and fertilizers. One of the most widely used innovations of the previous century was the mobile phone. The use of digital technology will improve communication between consumers and farmers. The public now has more accessible access to information on farming because of the wealth of data collected on crops and livestock. Smart farming’s impact on crop yields will be seen in the long term.

Crop growth and yield are influenced by the genetic potential of the cultivar, soil, weather, and cultivation practices, i.e., sowing date, irrigation and fertilizer amount, and biotic stresses. Temporal variation in yield and growth has been largely forecasted using climate as a predictor, which can be achieved by using either an empirical or crop simulation approach for a given location. Climate and soil data collected over agricultural land regularly aid in crop growth monitoring, as well as crop vitality assessment. Crop simulation models (CSM) that have been successful in field-scale applications are now being implemented in GIS framework to simulate and monitor crop growth with remote sensing inputs, allowing for sensitive evaluations of seasonal weather conditions, local variability, and crop management signals. This research was designed to monitor the growth of three varieties of kiwifruit, i.e., Hayward grafted, Green-flesh, and Hayward, in four different localities: Hazaro (Attock), Simli Dam (Pind Begwal), GPU (germ plasm unit) Arid Agriculture University Rawalpindi and ZTBL (Zarai Taraqiati Bank Limited) Farm Islamabad, each of which has different soil and weather conditions. Soil proximal sensors were used to measure soil characteristics, and data loggers were installed in each field to monitor the weather parameters to collect data that influences crops. In this study, we used a quantitative method and GIS-integrated data to assess the impact of soil and climate on kiwifruit growth. It can help policy makers and researchers to identify new agro-climatic zones in Pakistan’s semi-arid regions for kiwifruit farming based on this data. In this study, we found that kiwi is very susceptible to temperatures above 40 °C, which cause mortality in kiwifruits plants. Morphological data with respect to soil and climate results showed that green-fleshed and Hayward varieties performed slightly better than Hayward grafted, which was most susceptible to diseases and heat damage.

The diagnosis and recommendation integrated system (DRIS) approach assesses plants’ nutrient status by comparing crop nutrient ratios with optimum values from a high-yielding group (DRIS norms). Furthermore, in this study, twenty-one grids were selected using GPS for soil sampling from a 1-hectare olive orchard field with a grid size of 20 × 20 m. Using standard laboratory procedures, soil samples were analyzed for macronutrients (N, P, and K ranging from 0.06–0.17%, 1.44–5.56%, and 31.94–120.32 mg kg−1) and micronutrients (Fe, Cu, Mn, Zn and B ranging from 25.16–82.3, 1.09–1.8, 26.96–65.69, 0.01–4.5 and 0.48–1.06 mg kg−1), respectively, and in plant samples for macronutrients (N, P and K ranging from 0.63–1.93, 0.01–0.16 and 0.75–1.37%) and micronutrients (Fe, Cu, Zn, Mn and B ranging from 152.5–621.5, 8.5–17, 18–34 and 43.5–113 mg kg−1), respectively. The critical ranges were investigated in terms of their relationship to the population’s yield level. DRIS norms derived from olives were able to detect nutrient deficiency and excess.

Horticultural crops have a special impact on a nation’s economy due to their significance in raising the living standards of farmers. The traditional method for crop protection is becoming ineffective with an increase in climate change effects. Precision Agriculture (PA) presents a solution to this issue through the precise monitoring and forecasting of pests, which improves productivity and guarantees environmental sustainability. The productivity of the existing plant production system can be increased by using precision agriculture techniques. Various PA technologies that enable farmers to monitor the pest include remote sensing, the Internet of Things, geographical information systems, and artificial intelligence. The PA technique assists with pest forecasting and the management of pests and diseases in plants. The content of this article was gathered through a literature review of recent research. The approaches used in PA for pest forecasting, monitoring, and management are the main topic of this study. In the long term, this study will help farmers to manage insect pests in a way that is both affordable and environmentally beneficial.

Environmental consciousness as well as individual”™s demand for ready to eat food, recently, has changed the trends in food packaging leading to the development of biodegradable and edible packaging. Emulsified edible films have better transparency, superior mechanical properties and provide barriers to water and other atmospheric gases. Edible films if not consumed, biodegrad chemically. In present study, edible films were, initially, prepared using Chitosan and Aloe vera at different concentrations. Films were then subjected to physical and mechanical testing. Films with 20% Aloe vera had low thickness as compared to films with no Aloe vera. These films also had superior mechanical properties and lower water vapor permeability. Films with 20% Aloe vera were, then, selected and beeswax was dispersed in Chitosan-Aloe vera solution at concentration upto 2.0% followed by film preparation through casting technique. Thickness and water vapor permeability were observed to be improved with increase in concentration of beeswax. Tensile strength of edible films was also improved 1.3 times when concentration of beeswax increased from 0.5 to 2.0%. Percentage elongation decreased with increase in beeswax concentration in the emulsified films. No change in particle size was observed with change in concentration of beeswax. Emulsions were also stable at room temperatures. Decrease in transparency of emulsified edible films was observed with increase in beeswax content in the emulsified films. In addition, cost analysis of the films proved them reasonable to be used as an alternate of synthetic packaging materials.

To access floristic composition and ecological characteristics, present study was carried out in moist temperate territories of district Bagh. The altitude of the study area varies between 1500 m and 3500 m. Vegetation of the area was mostly therophytic, hemicryptophytic, nanophanerophytic, nanophyllus and microphyllus. Based on IVI twelve plant stands were recognized and all of them were found to be heterogeneous. Environmental factors such as climate, soil condition etc. were studied in relation to vegetation structure. The soil of investigated area varied from heavy loam to clay and clay loam with pH of 5.83 - 7.31 while saturation% age differed from 43 – 62%. Electrical conductivity ranged from 0.8 - 0.21 ds/m, organic matter% age from 3.3 - 6.2, phosphorus from 9 - 21 ppm and potassium from 240 - 412 ppm. The highest recorded Simpson Diversity Index value was 15.67 while lowest was 6.30, species richness was high at an altitude of 2520 m i.e. 1.11 while lowest at 1926 m which was 0.71. Maturity index value lies in between 40.5 - 60.7 while equitability values ranged from 0.66 to 1.63. The present research would serve as baseline information for the future researchers in related fields

The purpose of this study is to investigate the effects of inflation on rate of economic growth of the Five Asian countries; namely, Bangladesh, Iran, Indonesia, Malaysia and Pakistan, for the period 1973 to 2016. Using the appropriate tests, the property was checked and found not to exhibit the unit root, thus making the data to be stationary. Based on data of the study, the Least Squares and traditional panel estimation techniques were used. The Least Squares results revealed that inflation has negative and statistically significant impact on economic growth in all sampled countries. Similarly, the panel data techniques were also confirmed to be negative with significant relationship between the rates of inflation and economic growth. Thus, the main points emerging are that inflation is not helpful but harmful to the rate of economic growth. This study contributes a valuable addition to the existing literature about linkages of inflation rate and the economic growth. The findings suggest that an effective macroeconomic policymix needs to be devised to control inflation and encourage the process of economic growth and development; and thereby largely bolster the social well-being.

Heat shock proteins (Hsps) are stress-responsive molecular chaperones, which uphold proper protein folding in response to external and internal stresses. The Hsp100 gene family plays a substantial role in thermos-tolerance of plants. This study investigated evolutionary relationship and expression of ClpB/Hsp100 gene family in tomato under heat stress. Six SlHsp100 genes were identified using bioinformatics tools. In silico sub-cellular localization indicated that of these 6 ClpB/Hsp100 members, 4 are found in chloroplast, 1 in mitochondria and 1 in the cytoplasm. For evolutionary study, 36 SlHsp100 genes were included in the phylogenetic tree showing a hierarchical clustering shared by the members of the kingdoms Plantae, Archaea, Chromista, Fungi and Bacteria. A total 4 pairs of orthologous and 5 pairs of paralogous genes were identified. Functional divergence between different Hsp100 clusters showed considerable functional homology. Thermo-tolerance measured in terms of cell viability, cell membrane stability and pollen viability indicated that it was paralleled by thermal resistance of Hsps. Reverse transcriptase polymerase chain reaction was used to analyze gene expression in leaves of five-week-old tomato seedlings following exposure to heat stress (45°C) and control (25°C). Chloroplastic LeHSP110/ClpB gene was upregulated in all tomato genotypes after exposure to heat stress highlighting the crucial role of this gene family in acquired thermo-tolerance.

The number of spray deposits plays an important role in effective and efficient spraying. The spraying equipment is one of the most significant factors that affect the number of spray deposits. Therefore, the study was focused on the parameter optimization of a newly developed self-propelled variable height crop sprayer. Response surface methodology (RSM) along with Box–Behnken design (BBD) was used to study the effect of the independent variables (forward speed, spray height, and spray pressure) on response variables such as droplet density, coverage per-centage, and Volume Median Diameter (VMD). The experiment was conducted in the cotton field. Additionally, the RSM model was validated in this research. The results revealed that the coefficient of determination (R2) values was good for all response variables in the quadratic polynomial model. The optimized parameters were 6.5 km/h, 60 cm, 4 bar for fungicide application, and 8 km/h, 70 cm, 3 bar for insecticide and herbicide application. The predicted response variable values at the optimal conditions were 60.4 droplet/cm2, 27%, 230 µm for fungicides and 37.8 droplet/cm2, 19.1%, 225.4 µm for insecticide and herbicides application. The model validation is confirmed by the mean of actual response variable values at the optimal condition for insecticide and herbicides application, which was 41.35 ± 3.67 droplet/cm2, 21.10 ± 1.72%, 227.43 ± 1.22 µm, and the prediction error was 8.46%, 9.2%, and 0.9% for droplet density, coverage percentage, and VMD, respectively. This study can provide support for further optimizing the parameters of the sprayer.

This study investigates the impact of external debt on the economic growth of Pakistan using annual time series data over the period 1976 to 2018. For this purpose, the syntheses of debt overhang and debt crowding-out hypotheses are examined within the framework of augmented Solow growth model. An autoregressive distributed lag (ARDL) model, Error Correction model and appropriate data diagnostic tests are applied. The empirical results indicate that external borrowing and debt servicing hamper the economic growth in Pakistan. Results reveal that 1% increase in stock of external debt is causing 0.20% fall in economic growth. Similarly,1% increase in debt servicing is causing 0.13% fall in economic growth. The findings of this study suggest that the policy makers should create a conductive environment for bringing increase in the level of domestic savings and exports, and should focus on increasing the inflow of capital through foreign direct investment and attracting the foreign exchange reserves. Incorporation of debt monitoring system along with its management is also required for minimizing the adverse effects of debt overhang and debt crowding out effects of the external debt. Keywords: External Debt; Economic Growth; ARDL; Pakistan JEL Classifications: F34, O11, C22, P24 DOI: https://doi.org/10.32479/ijefi.10134

Climate change is a global phenomenon occurring throughout the world. Greenhouse gases (GHGs) especially carbon dioxide (CO2) considered to be the major culprit to bring these changes. So, carbon (C) sequestration by any mean could be useful to reduce the CO2 level in atmosphere. Turf grasses have the ability to sequester C and minimize the effects of GHGs on the environment. In order to study that how turf grasses can help in C sequestration, Bermuda grass (Cynodon dactylon) was grown both at industrial and urban location and its effect on C storage were assessed by soil and plant analysis. Dry deposition of ammonium and nitrate was maximum at both locations through the year. However wet deposition was highest during the months of high rainfall. It was examined through soil analysis that soil organic matter, soil C and nitrogen in both locations increased after second mowing of grass. However, soil pH 6.68 in urban and 7.00 in industrial area and EC 1.86 dS/m in urban and 1.90 dS/m in industrial area decreased as the grass growth continue. Soil fresh weight (27.6 g) in urban and (27.28 g) industrial area also decreased after first and second mowing of grass. The C levels in plant dry biomass also increased which showed improved ability of plant to uptake C from the soil and store it. Similarly, chlorophyll contents were more in industrial area compared to urban area indicates the positive impact of high C concentration. Whereas stomatal conductance was reduced in high C environment to slow down respiration process. Hence, from present study it can be concluded that the Bermuda grass could be grown in areas with high C concentration in atmosphere for sequestrating C in soil.

Pepper is one of the most important vegetables and spices in the world. Principal pungency is contributed by secondary metabolites called capsaicinoids, mainly synthesized in the placenta of pepper fruit. Various factors, including drought, limit pepper production. Flowering is one of the most sensitive stages affected by drought stress. The current study was conducted to determine the effect of drought on different pepper genotypes at the flowering and pod formation stages. Hot pepper (Pusajuala and Ghotki) and Bell pepper (Green Wonder and PPE-311) genotypes were subjected to drought (35% field capacity) at two different stages (flowering (DF) and pod formation (DP) stage). In comparison, control plants were maintained at 65% field capacity. The data regarding flowering survival rates, antioxidant protein activity, and proline content, were collected. Results indicated that parameters like flower survival percentage, number of fruits per plant, and fruit weight had significant differences among the genotypes in both treatments. A high proline level was observed in Green Wonder at the pod formation stage compared to other genotypes. Capsaicin contents of hot pepper genotypes were affected at the pod formation stage. Antioxidants like GPX were highly active (190 units) in Ghotki at pod formation. Bell pepper genotypes had a high APX activity, highly observed (100 units) in PPE-311 at pod formation, and significantly differ from hot pepper genotypes. In the catalase case, all the genotypes had the highest values in DP compared to control and DF, but Pusajuala (91 units) and Green Wonder (83 units) performed best compared to other genotypes. Overall, the results indicate that drought stress decreased reproductive growth parameters and pungency of pepper fruit as most of the plant energy was consumed in defense molecules (antioxidants). Therefore, water availability at the flowering and pod formation stage is critical to ensure good yield and pepper quality.

Out of 850 total prisoners of district jail, Rahim Yar Khan, 100 were selected at random and examined for prevalence of HIV. Apart from HIV screening, data was collected about different diseases, narcotics use, occupations, reasons for imprisonment, ages and marital status of the prisoners through a questionnaire. None of these prisoners was suffering from HIV, the results regarding narcotics habits showed that 3% of the prisoners were used to bhang, 4% took heroin, 5% were using snuff, 34% cigarette smokers and 54% were not taking any narcotics. Nineteen percent of the prisoners suffered from various diseases like asthma, allergy, chest infection, hernia, heart problem, jaundice, lung infection, ulcer, weakness, typhoid and gastric problems whereas 81% were healthy.

Resources are limited, thus improving resource use efficiency is a key objective for cereal-based cropping systems. This field study was carried out to quantify resource use efficiencies in selected C3 and C4 cereals under split nitrogen (N) application regimes. The study included the following treatments: six cereals (three C3: wheat, oat, and barley; and three C4: maize, millet, and sorghum) and four split N application regimes (NS1 = full amount of N at sowing; NS2 = half N at sowing + half N at first irrigation; NS3 = ⅓ N at sowing + ⅓ N at first irrigation + ⅓ N at second irrigation; NS4 = ¼ N at sowing + ¼ N at first irrigation + ¼ N at second irrigation + ¼ N at third irrigation). Results revealed that C4 cereals out-yielded C3 cereals in terms of biomass production, grain yield, and resource use efficiencies (i.e., radiation use efficiency (RUE) and nitrogen use efficiency (NUE)), while splitting N into three applications proved to be a better strategy for all of the selected winter and summer cereals. The results suggest that C4 cereals should be added into existing cereal-based cropping systems and N application done in three installments to boost productivity and higher resource use efficiency to ensure food security for the burgeoning population.

Understanding the impact of the warming trend on phenological stages and phases of cotton (Gossypium hirsutum L.) in central and lower Punjab, Pakistan, may assist in optimizing crop management practices to enhance production. This study determined the influence of the thermal trend on cotton phenology from 1980–2015 in 15 selected locations. The results demonstrated that observed phenological stages including sowing (S), emergence (E), anthesis (A) and physiological maturity (M) occurred earlier by, on average, 5.35, 5.08, 2.87 and 1.12 days decade−1, respectively. Phenological phases, sowing anthesis (S-A), anthesis to maturity (A-M) and sowing to maturity (S-M) were reduced by, on average, 2.45, 1.76 and 4.23 days decade−1, respectively. Observed sowing, emergence, anthesis and maturity were negatively correlated with air temperature by, on average, −2.03, −1.93, −1.09 and −0.42 days °C−1, respectively. Observed sowing-anthesis, anthesis to maturity and sowing-maturity were also negatively correlated with temperature by, on average, −0.94, −0.67 and −1.61 days °C−1, respectively. Applying the cropping system model CSM-CROPGRO-Cotton model using a standard variety in all locations indicated that the model-predicted phenology accelerated more due to warming trends than field-observed phenology. However, 30.21% of the harmful influence of the thermal trend was compensated as a result of introducing new cotton cultivars with higher growing degree day (thermal time) requirements. Therefore, new cotton cultivars which have higher thermal times and are high temperature tolerant should be evolved.