Yazar "Habib-ur-Rahman, Muhammad" seçeneğine göre listele

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    Advances in Input Management for Food and Environmental Security
    (wiley, 2022) Sabagh, Ayman E. L.; Islam, Mohammad Sohidul; Hossain, Akbar; Iqbal, Muhammad Aamir; Habib-ur-Rahman, Muhammad; Mansour, Fatma; Wasaya, Allah
    Achieving food security while protecting the environment in the context of future global climate changes is a great challenge to the sustainability of modern agricultural systems. Food production is likely to maintain priority over environmental protection. In modern agriculture, input management is very crucial for sustaining future food security and environmental protection which might be achieved by the integration of land, pest, disease, nutrient, and other resource management practices. This chapter focuses on the potential of next-generation input management techniques for safer food production and environmental protection. The possible impacts of next-generation input management techniques for safer and nutritious food production without environmental degradation as along with other vital dimensions of food security have been discussed. Additionally, next-generation input assessment studies, possible integration of different techniques, and approaches for food and environment security have been objectively described. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021.
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    Biofortification of Iron in Potato Through Rhizobacteria and Plant Growth Regulator
    (Springer, 2024) Mushtaq, Zain; Al-Ashkar, Ibrahim; Habib-ur-Rahman, Muhammad; Sabagh, Ayman El; Ilic, Predrag
    Millions of people around the world have iron deficiency, which is one of several important nutritional disorders. Despite recent advances in the prevention and treatment of these deficiencies, it is estimated that over two billion individuals worldwide are at risk for vitamin A, iodine, and/or iron insufficiency. Many major health concerns can result from micronutrient deficits. Lack of iron, folate, B12, and A may cause anemia. Anemia causes weariness, weakness, breathlessness, and disorientation due to low red blood cell or hemoglobin levels. Biofortification, a way to make staple foods with more micronutrients, could help lower malnutrition. Plant growth-promoting rhizobacteria (PGPR) can boost the amount of iron in edible plant tissues by making it easier for iron to get to those tissues. A pot experiment was conducted at ISES, University of Agriculture, Faisalabad, to evaluate the impact of well-characterized rhizobacterial strains (Acinetobacter calcoaceticus and Bacillus simplex) alone and in combination with L-tryptophan (a plant growth regulator (PGR)) on agronomic, tuber, and nutritional attributes of potato. Results revealed that inoculation significantly enhanced the iron content of potato tubers compared to control plants. When rhizobacteria, L-tryptophan, and iron were added to the soil, the number of tubers grew by 68.24% compared to the control plants where neither PGPR nor PGR was applied. Biofortifying potatoes with microbes can help people get more micronutrients, especially in countries with few resources. These results showed that PGPR can help plants get more Fe from the soil if more Fe is added to the soil. These results provide support for the hypothesis that microbial aided biofortification in crops might reduce human micronutrient insufficiency, particularly in areas with little resources.
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    Effect of slow release nitrogenous fertilizers and biochar on growth, physiology, yield, and nitrogen use efficiency of sunflower under arid climate
    (Springer Heidelberg, 2022) Waqar, Muhammad; Habib-ur-Rahman, Muhammad; Hasnain, Muhammad Usama; Iqbal, Shahid; Ghaffar, Abdul; Iqbal, Rashid; Hussain, Muhammad Iftikhar
    Sunflower plants need nitrogen consistently and in higher amount for optimum growth and development. However, nitrogen use efficiency (NUE) of sunflower crop is low due to various nitrogen (N) losses. Therefore, it is necessary to evaluate the advanced strategies to minimize N losses and also improve sunflower productivity under arid climatic conditions. A field trial was conducted with four slow release nitrogenous fertilizers [SRNF (bacterial, neem, and sulfur-coated urea and N loaded biochar)] and three N levels (100% = 148 kg N-ha(-1), 80% = 118 kg N-ha(-1), and 60% = 89 kg N-ha(-1)) of recommended application (100%) for sunflower crop under arid climatic conditions. Results showed that neem-coated urea at 148 kg N-ha(-1) significantly enhanced crop growth rate (CGR) (19.16 g-m(-2)-d(-1)) at 60-75 days after sowing (DAS); leaf area index (2.12, 3.62, 5.97, and 3.00) at 45, 60, 75, and 90 DAS; and total dry matter (14.27, 26.29, 122.67, 410, and 604.33 g m(-2)) at 30, 45, 60, 75, and 90 DAS. Furthermore, higher values of net leaf photosynthetic rate (25.2 mu mol m(-2) -s(-1)), transpiration rate (3.66 mmol-s(-1)), and leaf stomatal conductance (0.39 mol-m(-2)-s(-1)) were recorded for the same treatment. Similarly, neem-coated urea produced maximum achene yield (2322 kg ha(-1)), biological yield (9000 kg-ha(-1)), and harvest index (25.8%) of the sunflower crop. Among various N fertilizers, neem-coated urea showed maximum NUE (20.20 kg achene yield kg(-1) N applied) in comparison to other slow release N fertilizers. Similarly, nitrogen increment N-60 showed maximum NUE (22.40 kg grain yield-kg(-1) N applied) in comparison to N-80 and N-100. In conclusion, neem-coated urea with 100% and 80% of recommended N would be recommended for farmers to get better sunflower productivity with sustainable production and to reduce the environmental nitrogen losses.
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    Evaluating the efficiency of coarser to finer resolution multispectral satellites in mapping paddy rice fields using GEE implementation
    (Nature Portfolio, 2022) Waleed, Mirza; Mubeen, Muhammad; Ahmad, Ashfaq; Habib-ur-Rahman, Muhammad; Amin, Asad; Farid, Hafiz Umar; Hussain, Sajjad
    Timely and accurate estimation of rice-growing areas and forecasting of production can provide crucial information for governments, planners, and decision-makers in formulating policies. While there exists studies focusing on paddy rice mapping, only few have compared multi-scale datasets performance in rice classification. Furthermore, rice mapping of large geographical areas with sufficient accuracy for planning purposes has been a challenge in Pakistan, but recent advancements in Google Earth Engine make it possible to analyze spatial and temporal variations within these areas. The study was carried out over southern Punjab (Pakistan)-a region with 380,400 hectares devoted to rice production in year 2020. Previous studies support the individual capabilities of Sentinel-2, Landsat-8, and Moderate Resolution Imaging Spectroradiometer (MODIS) for paddy rice classification. However, to our knowledge, no study has compared the efficiencies of these three datasets in rice crop classification. Thus, this study primarily focuses on comparing these satellites' data by estimating their potential in rice crop classification using accuracy assessment methods and area estimation. The overall accuracies were found to be 96% for Sentinel-2, 91.7% for Landsat-8, and 82.6% for MODIS. The F1-Scores for derived rice class were 83.8%, 75.5%, and 65.5% for Sentinel-2, Landsat-8, and MODIS, respectively. The rice estimated area corresponded relatively well with the crop statistics report provided by the Department of Agriculture, Punjab, with a mean percentage difference of less than 20% for Sentinel-2 and MODIS and 33% for Landsat-8. The outcomes of this study highlight three points; (a) Rice mapping accuracy improves with increase in spatial resolution, (b) Sentinel-2 efficiently differentiated individual farm level paddy fields while Landsat-8 was not able to do so, and lastly (c) Increase in rice cultivated area was observed using satellite images compared to the government provided statistics.
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    Impact of climate change on agricultural production; Issues, challenges, and opportunities in Asia
    (Frontiers Media Sa, 2022) Habib-ur-Rahman, Muhammad; Ahmad, Ashfaq; Raza, Ahsan; Hasnain, Muhammad Usama; Alharby, Hesham F.; Alzahrani, Yahya M.; Bamagoos, Atif A.
    Agricultural production is under threat due to climate change in food insecure regions, especially in Asian countries. Various climate-driven extremes, i.e., drought, heat waves, erratic and intense rainfall patterns, storms, floods, and emerging insect pests have adversely affected the livelihood of the farmers. Future climatic predictions showed a significant increase in temperature, and erratic rainfall with higher intensity while variability exists in climatic patterns for climate extremes prediction. For mid-century (2040-2069), it is projected that there will be a rise of 2.8 degrees C in maximum temperature and a 2.2 degrees C in minimum temperature in Pakistan. To respond to the adverse effects of climate change scenarios, there is a need to optimize the climate-smart and resilient agricultural practices and technology for sustainable productivity. Therefore, a case study was carried out to quantify climate change effects on rice and wheat crops and to develop adaptation strategies for the rice-wheat cropping system during the mid-century (2040-2069) as these two crops have significant contributions to food production. For the quantification of adverse impacts of climate change in farmer fields, a multidisciplinary approach consisted of five climate models (GCMs), two crop models (DSSAT and APSIM) and an economic model [Trade-off Analysis, Minimum Data Model Approach (TOAMD)] was used in this case study. DSSAT predicted that there would be a yield reduction of 15.2% in rice and 14.1% in wheat and APSIM showed that there would be a yield reduction of 17.2% in rice and 12% in wheat. Adaptation technology, by modification in crop management like sowing time and density, nitrogen, and irrigation application have the potential to enhance the overall productivity and profitability of the rice-wheat cropping system under climate change scenarios. Moreover, this paper reviews current literature regarding adverse climate change impacts on agricultural productivity, associated main issues, challenges, and opportunities for sustainable productivity of agriculture to ensure food security in Asia. Flowing opportunities such as altering sowing time and planting density of crops, crop rotation with legumes, agroforestry, mixed livestock systems, climate resilient plants, livestock and fish breeds, farming of monogastric livestock, early warning systems and decision support systems, carbon sequestration, climate, water, energy, and soil smart technologies, and promotion of biodiversity have the potential to reduce the negative effects of climate change.