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您的检索式：作者名="Maria Tariq"
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| 1 | Breaking wheat yield barriers requires integrated efforts in developing countries显示文摘Most yield progress obtained through the so called 'Green Revolution', particularly in the irrigated areas of Asia, has reached a limit, and major resistance genes are quickly overcome by the appearance of new strains of disease causing organisms.New plant stresses due to a changing environment are difficult to breed for as quickly as the changes occur.There is consequently a continual need for new research programs and breeding strategies aimed at improving yield potential, abiotic stress tolerance and resistance to new, major pests and diseases.Recent advances in plant breeding encompass novel methods of expanding genetic variability and selecting for recombinants, including the development of synthetic hexaploid, hybrid and transgenic wheats.In addition, the use of molecular approaches such as quantitative trait locus(QTL) and association mapping may increase the possibility of directly selecting positive chromosomal regions linked with natural variation for grain yield and stress resistance.The present article reviews the potential contribution of these new approaches and tools to the improvement of wheat yield in farmer's fields, with a special emphasis on the Asian countries, which are major wheat producers, and contain the highest concentration of resource-poor wheat farmers. | Saeed Rauf Maria Zaharieva Marilyn L Warburton ZHANG Ping-zhi Abdullah M AL-Sadi Farghama Khalil Marcin Kozak Sultan A Tariq | 2015 | Journal of Integrative Agriculture2015，14，8： | 2 |
| 2 | Rice Leaves Disease Diagnose Empowered with Transfer Learning显示文摘In the agricultural industry,rice infections have resulted in significant productivity and economic losses.The infections must be recognized early on to regulate and mitigate the effects of the attacks.Early diagnosis of disease severity effects or incidence can preserve production from quantitative and qualitative losses,reduce pesticide use,and boost ta country’s economy.Assessing the health of a rice plant through its leaves is usually done as a manual ocular exercise.In this manuscript,three rice plant diseases:Bacterial leaf blight,Brown spot,and Leaf smut,were identified using the Alexnet Model.Our research shows that any reduction in rice plants will have a significant beneficial impact on alleviating global food hunger by increasing supply,lowering prices,and reducing production's environmental impact that affects the economy of any country.Farmers would be able to get more exact and faster results with this technology,allowing them to administer the most acceptable treatment available.By Using Alex Net,the proposed approach achieved a 99.0%accuracy rate for diagnosing rice leaves disease. | Nouh Sabri Elmitwally Maria Tariq Muhammad Adnan Khan Munir Ahmad Sagheer Abbas Fahad Mazaed Alotaibi | 2022 | Computer Systems Science & Engineering2022，42，9： | 0 |
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