Samuel Fernandez, the brand new agricultural statistician, joined the Arkansas Agricultural Experiment Station in June.
Samuel Fernandes, assistant professor of agricultural statistics, combines advances in laptop science with components of agriculture to assist plant breeders, farmers, and shoppers.
“Typically we do not have the time nor the assets to do the correct experiment that we have to reply some particular questions,” Fernandez stated. For instance, it’s not attainable to survey vegetation at greater than 1,000 websites, however laptop applications enable researchers to evaluate particular circumstances over a few years.
“It is a real-life simplification, however one thing that permits us to reply many helpful questions.”
Fernandez, initially from Minas Gerais, Brazil, joined the Agricultural Statistics Laboratory of the Arkansas Agricultural Experiment Station in June. He’ll divide his analysis primarily between the departments of Crops, Soils, Environmental Sciences and Horticulture.
Previous to becoming a member of the experiment station, the analysis arm of the Division of Agriculture on the College of Arkansas, Fernandez investigated the event and utility of multivariate strategies to genetic knowledge for plant breeding as a postdoctoral scholar on the College of Illinois.
He developed a simulation package deal referred to as “simplePHENOTYPES” within the R statistical program.
Fernandez stated the package deal helps researchers simulate phenotype observations based mostly on molecular marker knowledge.
They will use these observations to check totally different strategies, reminiscent of one to learn how many genes are concerned in a trait, he stated. If the researchers apply their technique to simulated simulated knowledge, for instance, they may know whether or not or not their mannequin is appropriate for detecting the genes chargeable for the actual plant productiveness knowledge.
“If we run it on actual knowledge, we’ll by no means ensure how our technique will carry out,” Fernandez stated. In actual knowledge, it’s not recognized what number of genes are concerned within the genetic construction of a selected trait.
He stated Fernandez’s simulation was revealed in early 2020 and had greater than 12,000 downloads.
On the Arkansas Agricultural Experiment Station, he’ll focus his analysis on quantitative genetics. He’ll use his earlier college applications and strategies to assist different researchers develop new plant species and analysis instruments.
“Dr. Fernandez’s experience and expertise in genetics has the potential to enormously improve our plant breeding applications,” stated Jeff Edwards, chair of the Crop, Soil and Environmental Sciences division of the College of Arkansas Division of Agriculture and Dale Pampers School. Agriculture, Meals and Life Sciences.
“His analysis will enable our soy and rice breeders to be extra exact and environment friendly in choosing traits that can profit Arkansas stakeholders,” Edwards stated.
Fernandez is already discussing notable collaborations with a number of researchers on the College of Arkansas, together with Margaret Worthington, affiliate professor of fruit breeding and genetics, and Christian de Guzman, affiliate professor of rice breeding and genetics.
Edwards stated Fernandez’s collaborative analysis strategy is a significant power. “I actually stay up for incorporating his expertise and expertise into our current analysis applications and see how his efforts are pushing us in new instructions.”
Fernandez may also educate introductory statistics courses by the Dale Pampers School of Agriculture, Meals, and Life Sciences on the College of Arkansas.
“I centered so much on quantitative genetics, however now I am going to have the chance to return slightly bit extra and work with this subject that I’ve at all times cherished,” Fernandez stated of educating statistics courses.
Fernandez needed to journey by many feelings to seek out the place he’s now. His father was engaged in cattle breeding, so animals and vegetation have at all times been of curiosity to him. However he additionally loved laptop science and wished to pursue it as properly.
It wasn’t till he had an internship in plant breeding that he felt like he had discovered the sector with the right combination of vegetation and laptop science.
Fernandez earned his bachelor’s diploma in agricultural engineering from the College of Brasilia in 2010. He acquired his grasp’s and doctoral levels. He acquired his PhD in Genetics and Plant Breeding from the College of Lavras in 2012 and 2016 respectively.
Along with his background in plant analysis, he stated he hopes to have the ability to talk the info successfully to college students and researchers.
“Along with that schooling, I grew up on a farm – my father is a cattle rancher,” Fernandez stated. “So, I do know what they’re speaking about after they are available in and speak to me about widespread issues.
“I feel this could possibly be a helpful factor to analysis and educate right here.”
To be taught extra concerning the Division of Agricultural Analysis, go to the Arkansas Agricultural Experiment Station web site: aaes.uada.edu. Comply with us on Twitter at Tweet embed.
To be taught extra concerning the Division of Agriculture, go to uada.edu. Comply with us on Twitter at Tweet embed.
In regards to the Agriculture Division: The mission of the College of Arkansas Division of Agriculture is to strengthen agriculture, communities, and households by connecting dependable analysis with the adoption of greatest practices. By means of the Agricultural Experiment Station and Cooperative Extension Service, the Division of Agriculture conducts analysis and extension work throughout the nation’s historic land grant schooling system. The Division of Agriculture is certainly one of 20 entities throughout the College of Arkansas system. It has workplaces in all 75 Arkansas counties and school on 5 campuses. The Division of Agriculture on the College of Arkansas gives all extension and analysis applications and providers with out regard to race, coloration, intercourse, gender identification, sexual orientation, nationwide origin, faith, age, incapacity, marital standing, veteran, genetic info, or different legally protected standing, and is Affirmative Motion/Equal Employer.