AGRO315 Study Area

Join AGRO315 Study Area Now

Join now to recieve updates about AGRO315 Study Area.

I have a User Name and Password for Plant & Soil Sciences eLibrary and "I am a Member of this Community"

Sign-In

Or

I have a User Name and Password for Plant & Soil Sciences eLibrary but "I am Not a Member of this Community"

Join this Community

Or

I am a new visitor to Plant & Soil Sciences eLibrary and I do not have User Name and Password for Plant & Soil Sciences eLibrary

Join Plant & Soil Sciences eLibrary as well as this Community

AGRO315 Study Area

Lessons

Chi-Square Test for Goodness of Fit in a Plant Breeding Example In plant breeding and genetics research, plant breeders establish a hypothesis to explain how they think a particular trait is inherited, such as if it is due to one gene with complete dominance, an interaction of more than one gene, or quantitative inheritance, with many genes contributing, etc. Next the breeder sets up crosses and observes the resulting progeny to test that inheritance hypothesis. However, when the data is collected, oftentimes the plant breeder discovers the number of plants observed in each class is not exactly what was expected from the hypothesis. The question then is how do plant breeders determine if the data is close enough to what they expected to determine the hypothesis is supported or not? Following a tomato disease resistance example in this lesson, you will learn a simple statistical test that breeders can use to conclude if the experimental data supports their hypothesis of single gene, completely dominant inheritance. This lesson is written for undergraduate and graduate students studying plant breeding, as well as agriculture professionals unfamiliar with the use of the chi-square analysis.
View Print Take Passel Quiz

Total: 1

Control Panel

Community Blogs Community Media

My Joined Communities

more Register for another course

Class Blogs Class Media

This project was supported in part by the National Research Initiative Competitive Grants CAP project 2011-68002-30029 from the USDA National Institute of Food and Agriculture, adminstered by the University of California-Davis and by the National Science Foundation (NSF), Division of Undergraduate Education, National SMETE Digital Library Program, Award #0938034, administered by the University of Nebraska. Any opinions, findings, conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the USDA or NSF.

Please confirm your selection.