Q6: Assignment: Agricultural Genomics and Crop Improvement. Analyze crop genomic data to identify genetic markers associated with desirable traits, such as disease resistance or yield. Summarize the analysis methodology, key findings, and potential applications in crop improvement. The answer demonstrates marker-yield correlation with a small sample dataset; population structure and relatedness should be addressed in real studies.

Agricultural Genomics and Crop Improvement

Solution and implementation for Q6 from Bioinformatics (bif).

6_crop_marker_association.py Download

"""Compare crop yield with simple genetic marker values."""

import pandas as pd


data = pd.DataFrame({
    "Marker_1": [0, 1, 2, 0, 1, 2, 0, 1],
    "Marker_2": [1, 1, 0, 2, 2, 1, 0, 2],
    "Yield": [2.1, 2.8, 3.4, 2.0, 2.9, 3.7, 1.9, 3.0],
})

print(data)
print("\nMarker correlation with yield:")
print(data.corr(numeric_only=True)["Yield"].drop("Yield").sort_values(ascending=False))
print("\nTest promising markers with a larger dataset and account for population structure.")

Group Bioinformatics Assignments

Agricultural Genomics and Crop Improvement

Other Questions in Bioinformatics