不同体重公麝泌香能力分析数据

本数据集通过量化公麝体重与泌香能力的关联性，具有以下应用场景：
1.自用场景：作为林麝养殖基地，可通过对本数据分析结果的实时监控，识别高产能和低产能公麝，从而给予针对性的种源筛选、精准饲养等措施，优化公麝种群管理，保障麝香原料稳定供应。
2.他用场景：医药企业可按泌香能力指数及评估分级结果进行分级定价（如麝香保心丸等药物）。保险公司可将本数据纳入养殖险定价模型，实现“一麝一价”。1.数据采集。数据采集自申请人自有林麝养殖基地，采集：日期、个体编号、年龄阶段、体重/kg（分段：轻<8kg/标准8-12kg/重>12kg）、单次泌香量/g、睾酮浓度/nmol/L、皮质醇浓度/nmol/L、环境温湿度匹配度（0-1）、活跃度评分（1-10分制量）等字段数据。剔除异常数据保证数据质量。
2.核心指标计算。①基础分泌量=单次泌香量×体重修正系数（轻0.9/标准1.0/重0.8）×年龄修正系数（亚成年0.8/成年1.2/老年0.7）；②激素调节因子=(睾酮浓度/皮质醇浓度)×ln(体重)/10；③体重健康度=1-|实际体重-10）|/10；④环境适应度=环境温湿度匹配度×(活跃度评分/10)^2。
3.归一化评分。按体重分组建立独立评分体系：各指标取同体重段前5年数据，前10%记100分，后10%记30分，中间按线性插值（反映生物学非线性特征）。
4.泌香能力指数。泌香能力指数=基础分泌量归一化评分×50%+激素调节因子归一化评分×25%+体重健康度归一化评分×15%+环境适应度归一化评分×10%。
5.评估分级。①高产能：指数≥90；② 稳定产能：75≤指数＜90；③低产能：指数＜75。

This dataset quantifies the correlation between the body weight of male forest musk deer and their musk secretion capacity, with the following application scenarios:

1. In-house Application Scenarios: For forest musk deer breeding bases, real-time monitoring of the data analysis results can be used to identify high-yield and low-yield male musk deer, thereby implementing targeted provenance selection, precise feeding and other measures to optimize the management of male musk deer populations and ensure a stable supply of raw musk materials.

2. External Application Scenarios: Pharmaceutical enterprises can conduct graded pricing for medications such as Shexiang Baoxin Wan based on the musk secretion capacity index and evaluation grading results. Insurance companies can incorporate this dataset into the breeding insurance pricing model to realize the "one deer, one price" pricing mechanism.

1. Data Collection. The data is collected from the applicant's own forest musk deer breeding base, covering the following fields: collection date, individual identification number, age group, body weight (kg, categorized into light: <8kg, standard: 8–12kg, heavy: >12kg), single-time musk secretion volume (g), testosterone concentration (nmol/L), cortisol concentration (nmol/L), environmental temperature and humidity matching degree (0–1), and activity score (1–10 scale). Abnormal data is excluded to ensure data quality.

2. Core Indicator Calculation. ① Basic secretion volume = single-time musk secretion volume × body weight correction coefficient (light: 0.9, standard: 1.0, heavy: 0.8) × age correction coefficient (sub-adult: 0.8, adult: 1.2, elderly: 0.7); ② Hormone regulation factor = (testosterone concentration / cortisol concentration) × ln(body weight) / 10; ③ Body weight health index = 1 – |actual body weight – 10| / 10; ④ Environmental adaptability = environmental temperature and humidity matching degree × (activity score / 10)².

3. Normalized Scoring. An independent scoring system is established for each body weight group: for each indicator, data from the first 5 years of the same body weight category are used, with the top 10% assigned 100 points, the bottom 10% assigned 30 points, and intermediate values calculated via linear interpolation to reflect nonlinear biological characteristics.

4. Musk Secretion Capacity Index. The musk secretion capacity index = basic secretion volume normalized score × 50% + hormone regulation factor normalized score × 25% + body weight health index normalized score × 15% + environmental adaptability normalized score × 10%.

5. Evaluation Grading. ① High-yield: index ≥ 90; ② Stable yield: 75 ≤ index < 90; ③ Low-yield: index < 75.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于公麝体重与泌香能力的关联分析，包含568条以上记录，每日更新，涵盖个体编号、体重、单次泌香量、激素浓度、环境匹配度等字段，并通过算法计算基础分泌量、激素调节因子等核心指标，最终生成泌香能力指数和评估分级（如高产能、稳定产能、低产能）。它主要用于林麝养殖基地的种群管理和精准饲养，同时可支持医药企业的分级定价和保险公司的养殖险模型，实现数据驱动的决策优化。