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Take a shower get clean
wiped with my hands shoutout fwt
i wasnt there for it either
I demand a recount
One of them please God
I’m glad this is a universal human experience
Im hopin
&
I hope it’s spiky
wiped with my hands shoutout fwt
Did you wash your hands?
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Maximizing Yield Among Variations of Drought-Resistant Maize
Humanity has been confronted with a stressful reality as the consequences of climate change create new challenges for existent social and economic structures. The foremost issue lies in the sustainable preservation of the agricultural system, a foundational industry to the survival of humanity. As global warming continues to change weather patterns worldwide, farmers will have to contend with conditions that are harder to farm in. Drought and a general decrease in availability of resources is a major problem that will have to have solutions identified and applied as soon as possible. Maize, commonly known as corn, is one of the most grown crops in the United States, and its potential to fail in facing the drought-induced stress of future conditions is a glaring problem for farmers, sellers, and consumers alike. While maize has a relatively high drought stress tolerance and is known for its ability to recover from drought stress, a seasonal precipitation rate of 18-20 inches is required for a healthy growing season. [Neild & Newman, 1914.] As rates and reservoir levels continue to drop rapidly, means of hydration and water supply remain a precarious factor in the growth of maize, requiring further emphasis on the necessity to find answers as soon as possible. The primary interest in how to prepare maize crops for a water-deficient future is through the genetic conditioning of maize through selective breeding. Historically, favorable phenotypic traits helped farmers identify favorable plants within a crop to use in future plantings. However, these means are labor-intensive and time-consuming, while novel means of genetic identification allow for favorable gene expressions to be identified and utilized immediately. Wang et al., 2021. In recent times, repeated experiments with maize cross-referenced with a total knowledge of the sequence corn genome have allowed for the specific identification of genes and how their expression changes the phenotypic qualities of the plant to induce a more drought-resistant set of characteristics. In 2007, the ZmNF-YB2 gene expression was found to have cooler leaf temperature and higher photosynthetic rates than controls, leading to higher tolerance for low-water environments. Nelson et al., 2007. Additionally, expression in ZmVPP1 was found to increase efficiency in given photosynthetic rates, alongside enhanced root development Wang et al., 2016. Other examples include the expression of escherichia Coli genes to reduce leaf size during growth while consolidating chlorophyll content Martignago et al., 2020 and the discovery of mutant genes that increase wax production on the surface of maize. Li et al., 2013.
Given the agricultural context of the topic at hand, it is important to understand that the subject of the issues at hand specifically have to do with how efficiently and how effectively a crop can deliver its yield; in the case of corn, that is the grain that is produced during fruiting, after roughly 80-100 days of growth. The aim of our experiment will not just be to determine the yield rate of various genotypes of corn based on their various protective traits, nor their response to drought as measured by growth rate. Specifically, the question is: which of the various genetic modifications of drought-resistant maize will provide the highest yield? Various studies have provided different results in growth compared to a negative control, but the comparison of grain yield between different iterations of drought resistant variants is yet unanswered. Given the subject traits that will be tested to determine the provided question, it is hypothesized that the ZmNF-YB2 gene will be the most effective in providing an effective yield in tested environments, given its 50% improvement in yield compared to controls when exposed to drought-like conditions Nelson et al., 2007 . The independent variable of this experiment will be the individual variation in genotype of a provided control species of maize, choosing between four specified genetic sequences that were found to be responsible for drought-resistant phenotypic expressions. The dependent variable will be the provided yield by each plant after a 95 day growing period, measured by total grain mass once removed from the plant.
The material framework required to provide a reproducible and reliable procedure is extensive and requires diligence. The experiment itself will require multiple iterations of each variable to provide secure measurements in the case of discrepancies in individual growth patterns. In this experiment, ten iterations of each variant will be grown at once. The four variants being treated in this experiment will be the ZmNF-YB2 gene expression that cools leaves and raises photosynthesis rates, Nelson et al., 2007 ZmVPP1 expressions that enhance photosynthesis efficiency and root growth, Wang et al., 2016 Escherichia coli CspB, which increases photosynthesis rates in return for a smaller leaf size, Martignago et al., 2020 and glossy13, a mutant gene responsible for increased wax production on growth leaves. Li et al., 2013 These traits will be applied to a negative control represented by the F1 SU Honey Butter sweetcorn. This species and genotype of maize is among the most commonly grown species in the United States, and abundance of this species should be extremely ample. This is a practical control because studying effects of its modification can be applicable to the wider conditions of the agricultural conditions in the United States. The modification of the control to exhibit the genotypic traits of each of the four variations will be achieved through means of allele acquisition and plasmid modification, specified in Li et al. 2015 and Simmons et al. 2020. This requires acquisition of the individual alleles that are identified for each variation, which are each stored in various banks Li et al., 2015 From there, the use of agrobacterium plasmids and antibacterial genes will allow for the transfer of our variant genes into the control corn. The control corn plant will be self pollinated to create an F1 generation that will be genetically identical, allowing for single-variable differences that can then be tested.
The environment of the experiment will be controlled in means similar to what is described by Gholipoor et al. in 2012, as a result of a similar experimental procedure of genetic variation in drought-like conditions for maize. A greenhouse to fit all subject plants will be constructed, alongside the necessary dirt, light, and water systems. A constant and partitioned plot of land of six feet, four feet, and four feet will be provided as a plot to grow the corn on. Total square footage for the entire enclosed area will exceed 1200 square ft to provide ample room for growth room, other necessary systems, and labor access. This plot of land is ideal for the growth of corn, and each plot will be able to be filled with one ton of 3-4-3 fertilizer to provide a neutral nutrient balance for all crops. Temperature gradients will follow a daylight standard of 30º C and 26º for a nighttime standard, as specified in the Gholipoor experiment Gholipoor et al, 2012. Light will solely be provided by UV lamps at daytime hours for 10 hours, leaving 14 hours for simulated dawn, dusk, and nighttime. The growing stage of the experiment will be standardized at 100 days for the crops. Lastly, and most importantly, hydration will be regulated to simulate a 0% humidity and 18 in/year of precipitation to simulate moderate drought conditions. Ventilation will be provided to prevent increase of humidity.