Drought stress has severely hampered maize production, affecting the livelihood and economics of millions of people worldwide. In the future, as a result of climate change, unpredictable weather events will become more frequent hence the implementation of adaptive strategies will be inevitable. Through utilizing different genetic and breeding approaches, efforts are in progress to develop the drought tolerance in maize. The recent approaches of genomics-assisted breeding, transcriptomics, proteomics, transgenics, and genome editing have fast-tracked enhancement for drought stress tolerance under laboratory and field conditions. Drought stress tolerance in maize could be considerably improved by combining omics technologies with novel breeding methods and high-throughput phenotyping (HTP). This review focuses on maize responses against drought, as well as novel breeding and system biology approaches applied to better understand drought tolerance mechanisms and the development of drought-tolerant maize cultivars. Researchers must disentangle the molecular and physiological bases of drought tolerance features in order to increase maize yield. Therefore, the integrated investments in field-based HTP, system biology, and sophisticated breeding methodologies are expected to help increase and stabilize maize production in the face of climate change.
Introduction Trauma is steadily increasing in the modern world and thus becoming a major public problem. Maxillofacial injuries constitute a substantial proportion of cases of trauma and occur in a variety of situations like road traffic accidents, interpersonal violence, falls or as a result of contact sports. The aim of this prospective study was to evaluate the efficacy of titanium mesh for osteosynthesis of maxillofacial fractures. Materials and Methods Fifteen patients of maxillofacial fractures who were treated with titanium mesh were included in this prospective study. The patients were evaluated preoperatively, intraoperatively and postoperatively at 7th day, 3rd week, 6th week and 12th week. ResultsThe mean age of fifteen patients was 31.3 years with a male:female ratio of 14:1. The most common mode of injury was road traffic accident (86.6%). The mean time interval between injury and surgical procedure was found to be 7.6 days. The majority of fracture sites (88%) were comminuted. 93.3% of the patients achieved good occlusion by 12th week postoperatively. Postoperative complications included residual hypoaesthesia in four patients and wound dehiscence in one patient. Conclusion We conclude that titanium mesh is a versatile option for maxillofacial fractures. It provided good stabilization especially in comminuted fractures. As a fixation method, it was quick in placement and highly adaptable, and thus, it proved to be valuable in restoring the form and function in maxillofacial trauma patients.
Maize grains are consumed majorly in the form of unleavened flat bread (chapatti) in the South East Asian region. The landraces are better accepted for their chapatti-making attributes such as grain color and good organoleptic properties. However, these cultivars are low in essential amino acids, particularly lysine and tryptophan content. Hence, an investigation was performed to identify maize genotypes with high nutritional value coupled with good chapatti-making qualities. Seven genotypes, comprising two Quality Protein Maize (QPM) hybrids, two normal maize hybrids, and three normal white maize landraces were assessed for their physical characteristics, proximate composition, and chapatti-making quality. Landrace 593 showed the highest protein and ash content. Flours obtained from different genotypes were significantly different (p ≤ 0.001) in terms of protein content, color value, textural, as well as mineral content. PMH 10 and IQMH 203 exhibited the highest and lowest hydration index, respectively. Two QPM hybrids showed significantly higher lysine and tryptophan content as compared to other genotypes. QPM hybrids were identified as the promising material with improved nutritional quality with respect to chapatti making. In combination with mustard greens, maize chapatti constitutes an important traditional delicacy in north India. The enhanced nutritional quality of QPM chapattis is an added advantage. We show the differentiation of chapattis made from QPM and normal maize using a rapid protocol developed previously. This is expected to enable the development and quality control of commercial enterprises based on high protein quality QPM.
The assessment of genetic diversity in the germplasm is an essential pre requisite for a breeding programme. In the present study genetic diversity was analysed in a set of 94 genotypes evaluated for various yield attributes under high temperature stress using 48 SSR primers. A total of 129 alleles were detected by 48 primers among 94 rice genotypes with an average of 2.7 alleles per primer. The number of alleles generated by each marker varied from 1 to 4. The Polymorphism Information Content values ranged from 0.19 to 0.60 with an average of 0.41. Twenty six SSR primers revealed PIC values higher than the average. The genetic dissimilarity index ranged from 0.04 to 0.92. The dendrogram generated using DAR with indicated that the 94 genotypes were clustered into three distinct clusters with two sub clusters in each cluster. The selected genotypes will be useful in the on-going breeding programme and will help in broadening the genetic base of the breeding material
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.