Identifying the Ideal Growth Conditions of Wheat Crops In the Pee Dee Using Genome Wide Association Studies
Abstract
The climate is shifting as the years go by, and we need to find or create species of wheat that can adapt to the new climate. These new species also need to be able to maintain yield the same as well. The research that was conducted at the Pee Dee Research Center for Research and Education made strides in that direction. We found how strongly correlated the different traits, like weed growth and lodging, for yield were to the plants, and those traits were then correlated to previous data to find out how accurate they were compared to the data from previous years. In the field, spikes were collected manually using clippers, and different machines, like the thresher and the seed counter, were used to separate the wheat grains from the spike. Different forms of data collected include grains per spike and the weight of a hundred grains of wheat, as well as the weight of five heads of grain from each plot. These data were then analyzed through GAPIT, and multiple plots were created to visualize how strong the correlation was between each trait and hundred grain weight. In conclusion, the study conducted gave insight into the different traits that were important to how wheat crops grew. Examples of these traits include overall healthiness of the plant, the presence of lodging and the pressure of weeds. In the future, commercial farms can use this new information to regulate the crops and determine ideal species to grow in different conditions.
Identifying the Ideal Growth Conditions of Wheat Crops In the Pee Dee Using Genome Wide Association Studies
Founders Hall 111 B
The climate is shifting as the years go by, and we need to find or create species of wheat that can adapt to the new climate. These new species also need to be able to maintain yield the same as well. The research that was conducted at the Pee Dee Research Center for Research and Education made strides in that direction. We found how strongly correlated the different traits, like weed growth and lodging, for yield were to the plants, and those traits were then correlated to previous data to find out how accurate they were compared to the data from previous years. In the field, spikes were collected manually using clippers, and different machines, like the thresher and the seed counter, were used to separate the wheat grains from the spike. Different forms of data collected include grains per spike and the weight of a hundred grains of wheat, as well as the weight of five heads of grain from each plot. These data were then analyzed through GAPIT, and multiple plots were created to visualize how strong the correlation was between each trait and hundred grain weight. In conclusion, the study conducted gave insight into the different traits that were important to how wheat crops grew. Examples of these traits include overall healthiness of the plant, the presence of lodging and the pressure of weeds. In the future, commercial farms can use this new information to regulate the crops and determine ideal species to grow in different conditions.
