Table 1.
Nature, maximum, minimum (numeric and ordinal variables), and levels (nominal and ordinal variables) of the variables considered in the study.
| Variable | Variable Set | Type | Levels (Maximum–Minimum) |
|---|---|---|---|
| Breed | Population | Nominal | 41 breeds |
| Variety | Nominal | 69 varieties | |
| Country | Study Georeferencing | Nominal | 16 countries |
| Continent | Nominal | Africa, Asia, Europe, America, and Australasia | |
| Growth model | Method | Nominal | 20 models (see Table 2 for model definition) |
| Number of model parameters | Numeric | 2 to 6 model parameters | |
| Male/Female sample | Study design | Numeric | 11 to 749 males/12 to 1255 females |
| Total sample | Numeric | 17 to 2004 individuals | |
| Total male/female observations | Numeric | 85 to 16,000 males/80 to 31,808 females | |
| Total observations | Numeric | 170 to 47,808 observations | |
| R2 (variance explicative potential) | Goodness of fit and flexibility criteria | Numeric | 0.01 to 1 for males/0.16 to 1 for females |
| MSE (model accuracy) | Numeric | 1443 to 37,596,433 for males/1107 to 39,687 for females | |
| RMSE (model accuracy) | Numeric | 0.03 to 128 for males and 7.17 to 106 for females | |
| RSD (deviation from the theoretical model) | Numeric | 11,47 to 197 for males/10.41 to 191 for females | |
| AIC (observative ability) | Numeric | 49.42 to 74,719 for males/44.21 to 21,142 for females | |
| BIC (predictive ability) | Numeric | 60.12 to 74,739 for males/54.15 to 94,595 for females | |
| Year of publication | Scientific impact | Ordinal | 2002 to 2020 |
| Journal | Nominal | 24 journals | |
| Indexed | Nominal | Yes, no, not at the moment of data collection | |
| Impact factor | Numeric | 0.14 to 2.217 | |
| Quartile | Ordinal | Q1, Q2, Q3, Q4 | |
| Data Base | Nominal | Not indexed, JRC, SJR, Scopus |