Fall 2026

Principles of Animal Breeding

Application of quantitative genetics principles to livestock and poultry improvement, covering breeding value estimation, selection, inbreeding, and crossbreeding.

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Recorded instructors · Fall 2026 No instructors listed

Summary

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Recent recorded grades — Spring 2024: 3.25 GPA, 50.0% A/AB (n=20 letter grades); Spring 2025: 3.65 GPA, 76.9% A/AB (n=13 letter grades); Spring 2026: 3.61 GPA, 77.8% A/AB (n=9 letter grades).

Grade history

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average GPA
letter grades
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AB
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Prerequisites

Course map

AN SCI 361 or concurrent enrollment (or DY SCI 361 prior to Fall 2026)

ANSCI/DYSCI 363

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Professors

Fall 2026

No instructors recorded for this selection.

Historical instructors & teaching patterns

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Calendar & sections

Fall 2026

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Student experience

the class

Recent recorded grades — Spring 2024: 3.25 GPA, 50.0% A/AB (n=20 letter grades); Spring 2025: 3.65 GPA, 76.9% A/AB (n=13 letter grades); Spring 2026: 3.61 GPA, 77.8% A/AB (n=9 letter grades).

difficulty & workload

No workload feedback recorded.

Topics

  • Quantitative genetics
  • Breeding value estimation and selection techniques
  • Inbreeding and hybrid vigor
  • Crossbreeding systems

Skills

  • Estimating breeding values and applying selection techniques.
  • Analyzing effects of inbreeding, hybrid vigor, and crossbreeding systems.

Grades

Latest available · Spring 2026— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

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Not enough comparable courses for Fall 2026 in UW–Madison.

Sources & history

UW–Madison

Catalog & offerings

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Grade history

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Dataset & model

Recorded 2026-09-07

View the dataset on Hugging Face
Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "9214594cdac890b0f32abdbd2d9bd95fef23071b8121f4dbb57fd12634855e2f",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}