Lab Report

1. Introduction and Hypothesis

In this section, describe the experiment and suggest how looking at the F2 generation seeds can be used to determine F1 and P generation genotypes and which allele is dominant or recessive. Use punnet squares to explain your reasoning.

2. Data table: Here is where you document the number of seeds that are white and the number of seeds that are green (normal, wild-type)

3. Conclusions: In this section, use your data to show the genotypes of the Parental Generation, the F1 generation and the F2 generation. Show the crosses and punnet squares that resulted in each generation.

Lab Report: 10 pts

Albino Corn Genetics

Objective: In this lab, you will germinate and grow F2 corn seeds to determine the inheritance pattern of the albino trait and determine what the P and F2 generation's genotype must have been.

Materials: Genetic Corn Seed, beakers, paper towels

Background information:

The corn seeds used in this experiment are the F2 generation. They are the offspring of two true-breeding lines. By allowing the seeds to germinate, you can detemine the ratios of albino versus normal seeds and use that to determine the genotypes and inheritance pattern of the trait being studied.

Your goal is to discover whether the albino gene is dominant or recessive and to reconstruct the crosses from the P generation to the F1 generation to the F2 generation.


1. Obtain 4-8 corn seeds from your teacher, and germinate by placing them in a beaker (or other clear container).

Seeds must remain moist, so you will fill your beaker with a damp paper towel so that the seeds are pressed against the glass for easy viewing.

*It is possible to use cups instead of beakers, but you probably won't be able to see the seeds as they sprout.

2. It may take a few days to germinate the seeds. When the seeds germinate, their coloration will be obvious.

3. Record data on your seeds and compile it with the rest of the class data.

4. Write a lab report that answers the experimental question based on your data.

5. Optional: Show a chi square analysis to support your conclusions.