4 results on '"M. Ahsan Iqbal"'
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2. Correlation and Path Coefficient Analysis for Morphological and Biochemical Parameters in Sunflower (Helianthus Annuus L.)
- Author
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Aqsa Tahir, M. Ahsan Iqbal, Rabia Saif, Masood Qadir, and Razia Sultana
- Subjects
0303 health sciences ,Achene ,030305 genetics & heredity ,Randomized block design ,04 agricultural and veterinary sciences ,Biology ,Sunflower ,Crop ,03 medical and health sciences ,Horticulture ,Yield (wine) ,Helianthus annuus ,Path coefficient ,040103 agronomy & agriculture ,Trait ,0401 agriculture, forestry, and fisheries ,Agronomy and Crop Science - Abstract
The aim of this study was to evaluate the best performing lines in sunflower on the basis of phenotypic and genotypic correlation so that we can find out the which trait directly or indirectly effect the yield and quality of the sunflower because being an breeder our main aim is yield and quality and the lines which are performing best can be further used in the breeding programs. Sunflower is a valuable oil producing crop because it contains good quality oil composition and can be grown twice in a year. There is scarcity of oil in our country so that there is requisite to heighten the yield of sunflower in order to exploit its share in oilseed sector. The study was conducted at the research field of Rajawala farm, University of Agriculture, Faisalabad during year 2015–16 to study the correlation among yield related traits, oil and protein content in Sunflower (Helianthus annuus L.). 20 sunflower lines were sown in randomized complete block design with three replications. Data was assessed at maturity for plant height, leaves per plant, leaf area, head diameter, internode length, 100-achene weight, achene yield per plant, oil contents and protein contents. Genotypic and phenotypic correlation was estimated among these traits. The recorded data was subjected to statistical analysis of variance, correlation and path coefficient analysis. The line G-16 showed best performance for leaf area, head diameter and achene yield per plant. Line G-20 was good in 100 achene weight. The above mentioned lines could be used in future breeding programs for effective improvement in yield of sunflower. This data was helpful to select superior lines and these lines may also be used in further hybridization program to get better yield, oil and protein contents.
- Published
- 2019
- Full Text
- View/download PDF
3. Towards a green economy: Investigating the impact of sustainable finance, green technologies, and environmental policies on environmental degradation.
- Author
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Ahsan Iqbal M, Saheen WA, Shabir S, Ullah U, Ionel-Alin I, Mihut MI, Raposo A, and Han H
- Subjects
- Technology, Ecosystem, Humans, Environmental Policy, Climate Change, Sustainable Development, Conservation of Natural Resources
- Abstract
Environmental degradation is a problem, and the consequences, in terms of emission of pollutants into different ecosystems, human health, and sustainable development are disastrous. This study explains the complex interactions that exist among sustainable finance, green technology innovation, green energy adoption, the climate change financial policy, green growth index, government spending, and financial globalization across the globe. This research applies to an extensive dataset that ranges to 23 years in 50 countries by enforcing robust dynamic econometric methods such as unit root tests, cointegration analysis, and generalized method of moments (GMM) estimations for the analysis of these complicated issues. The results show that Sustainable finance (SF) has a negative coefficient of -0.033, suggesting that increased sustainable financial practices contribute to reducing environmental degradation. Similarly, technology innovation (TI) and green energy (GE) both show significant negative impacts on environmental degradation, with coefficients of -0.132 and -0.075, respectively. The green growth index (GGI) has the most substantial negative effect, with a coefficient of -0.686, highlighting its critical role in mitigating environmental degradation. Lastly, the climate-related financial policy index (CRFPI) exhibits a positive coefficient of 0.029, indicating that advancements in financial policies targeting climate issues slightly offset environmental degradation. These results collectively emphasize the importance of financial, technological, and policy interventions in reducing environmental degradation. It also becomes clear that government spending and financial globalization both influence the efficacy of the government actions in reducing environmental pollution, while government efforts are affected by the second factor negatively. Those perceptions reveal why green finance that is advanced technologically along with renewable energy initiatives and governmental policy backing are the need of the hour in view of these very environmental challenges., Competing Interests: Declaration of competing interest The author(s) declare that there are no conflicts of interest related to this manuscript. The research was conducted independently, and there has been no financial support or influence from any funding agencies, commercial entities, or other organizations that could have inappropriately influenced the research outcomes., (Copyright © 2025 Elsevier Ltd. All rights reserved.)
- Published
- 2025
- Full Text
- View/download PDF
4. Cu 3 (HHTP) 2 c-MOF/ZnO Ultrafast Ultraviolet Photodetector for Wearable Optoelectronics.
- Author
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Kang C, Ahsan Iqbal M, Zhang S, Weng X, Sun Y, Qi L, Tang W, Ruan S, and Zeng YJ
- Abstract
Two-dimensional conductive metal-organic frameworks (2D c-MOFs) are a family of highly tunable and electrically conducting materials that can be utilized in optoelectronics. A major issue of 2D c-MOFs for photodetection is their poor charge separation and recombination dynamics upon illumination. This study demonstrates a Cu
3 (HHTP)2 /ZnO type-II heterojunction ultraviolet (UV) photodetector fabricated by layer-by-layer (LbL) deposition, in which the charge separation of photogenerated carriers is enhanced. At optimized MOF layer cycles, the device achieves a responsivity of 78.2 A/W and detectivity of 3.8×109 Jones at 1 V. Particularly, the device can be operated in the self-powered mode with an ultrafast response time of 70 μs, which is the record value for MOF-based photodetectors. In addition, even after 1000-time bending of 180°, the flexible device maintains stable performance. This flexible MOF-based UV photodetector with anti-fatigue and anti-bending properties provides strong implication to wearable optoelectronics., (© 2022 Wiley-VCH GmbH.)- Published
- 2022
- Full Text
- View/download PDF
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