Usage of the XGBoost and MARS algorithms for predicting body weight in Kajli sheep breed.

This study aimed to utilize the XGBoost and MARS algorithms to predict present weight from body measurements. The algorithms have the potential to model nonlinear relationships between body measurements and weight, and this study attempted to find a model that provided the most accurate predictions of present weight. The current study was conducted with 152 animals in order to achieve a certain goal. To compare the model performances, goodness-of-fit criteria such as R2, r, RMSE, CV, SDratio, PI, MAPE, AIC were used. According to the results of this study, the XGBoost algorithm was the most reliable model for predicting present weight from body measurement. Even if the XGBoost algorithm was the most accurate model, the MARS algorithm was the reliable model for the same aim. In addition, it is hoped that the results of this study will help researchers and breeders better understand the relationship between body measurements and weight and ultimately be able to help individuals better manage their weight. As a conclusion, in the current study, the XGBoost algorithm is an effective, efficient, and reliable tool for accurately estimating present weight from body measurements. This makes it an invaluable tool in rural areas, where traditional weighing scales may not be available or reliable.

Use of multivariate adaptive regression splines for prediction of body weight from body measurements in Marecha (Camelus dromedaries) camels in Pakistan.

The aim of the present work was to predict live body weight by means of some body measurements, i.e., SH, CG, and BG in indigenous Marecha camel breed. For this purpose, multivariate adaptive regression splines (MARS) algorithm was used at proportions of various training and test sets, i.e., 65:35, 70:30, and 80:20 in V-tenfold cross-validation. In prediction of live body weight of the Marecha camels (160 female and 145 male animals) in the MARS predictive models, pairs of sex-SH (model 1), sex-CG (model 2), and sex-BG (model 3) as potential predictors. The best MARS model in LW prediction was obtained using sex and SH independent variables for 80:20 training and test set. Sex was determined to be an important source of variation in SH, CG, and BG as a result of sexual dimorphism in camels (P < 0.01). MARS results indicated that SH could be used as an indirect selection criterion to obtain elite camel herds on LW of Marecha camels. If genetically confirmed, the Marecha camels whose SH is taller than 165.1 cm could be selected for providing genetic progress in LW. In conclusion, use of MARS algorithm may be worthy of consideration for better identification of camel breed standards and selection of superior Marecha camels for meat productivity in Pakistan.

Prediction of live body weight based on body measurements in Thalli sheep under tropical conditions of Pakistan using cart and mars.

Thalli sheep is a significant breed reared under tropical region of Punjab province of Pakistan. The present study was conducted to predict live body weight (LBW) by means of from some body measurements, i.e., chest girth (CG), belly girth (BG), rump height (RH), withers height (WH), neck girth (NG), and body length (BL) taken from 155 Thalli indigenous sheep of Pakistan. Age factor is determined to be a significant source of variation for BL, BG, CG, BG, WH, and NG (p < 0.05). LBW is correlated significantly with BL (0.850), CG (0.825), BG (0.849), RH (0.579), WH (0.547), and NG (0.7760), respectively (p < 0.01). For LBW prediction, CART and MARS data mining algorithms were comparatively used based on ten cross-validation method. Among 185 candidate MARS models with 1-5 degrees of interaction and 2-38 terms, the MARS model with 7 terms and no interaction effect in R software was the best model for LBW prediction on the basis of the smallest cross-validated RMSE value. Also, the optimal CART tree structure was obtained with 9 terminal nodes for the smallest cross-validated RMSE value. MARS algorithm outperformed CART in LBW prediction and explained 90.3 (%) of variability in LBW of Thalli sheep. Results of the optimal CART structure reflected that Thalli sheep with BL > 75 cm, RH > 83 cm, and NG > 55 cm has the heaviest LBW of 72 kg. The optimal MARS model displays that the heaviest LBW can be produced by Thalli sheep with BL > 71.12 cm, BG > 106.68 cm, WH > 76.2 cm, NG > 50.8 cm in 5th age group. In conclusion, it coud be recommended that MARS predictive modeling may enable animal breeders to obtain elite Thalli sheep population and to detect body measurement positively influencing LBW as indirect selection criteria for not only describing breed characterization and developing flock management standards, but also ensuring sustainable meat production and rural development in Pakistan.

Pregnancy status and thyroid function in semi-intensive-kept Marecha she-camels (Camelus dromedarius): managerial implications.

Pakistani Marecha dromedaries, a distinctive breed not covered in the empirical data of the literature reviewed existing for thyroidal physiology in camels, are subjected to investigate thyroid function in pregnant multiparous (n = 22) and non-pregnant nor lactating (n = 22) females. The function of the thyroid gland in pubescent she-camels has evoked discrepancies among researchers exploring this topic in different breeds evolving in divergent environments. Despite season, age, sex, reproductive status, health disorders, and stress are reported as potential modulating factors, these research studies failed to find statistically significant results supporting their hypothesis. For the current research, serum samples were obtained twice a week during one month from semi-intensive-kept Marecha she-camels and analyzed for triiodothyronine (T3) and thyroxine (T4) concentrations. Feed ingredients and additives were quality assessed to examine their nutrient profile, with special attention to protein content and exogenous calcium administration. Statistical differences in serum thyroid hormone levels were found between gravid and non-gravid females, being pregnant she-camels the subgroup with higher levels (P < 0.05). The genetic background of such phenotypic variability in thyroid metabolism in camels has to be further addressed to adapt husbandry practices for breed-specific requirements. Meanwhile, local management strategies are susceptible of accurate routines for sustainable farming.

Comparative growth response related to hair mineral analysis in dromedary camel calves.

Background: The dromedary camel plays a significant role in supporting the livelihood of pastoral and agropastoral systems, as well as a source of income for the national economy in arid regions. Aim: The current study was executed to check the comparative growth response in relation to hair mineral status in Marecha camel calves reared under an intensive management system and an extensive management system in Thal desert Punjab, Pakistan. Methods: Twelve male and female Camelus dromedarius calves of almost the same weight and age were divided into two groups of 6 each (3 male and 3 female). The calves of the first group were maintained at the Camel Breeding and Research Station, Rakh Mahni, in a semi-open housing system, while the second group was maintained in available housing under field conditions. Calves in the first group were fed concentrate at the rate of 1 kg/head/day along with gram straw (Cicer arientinum) ad libitum, while calves in the second group were allowed to graze/browse for 10 hours daily along with household refusals, including kitchen wastes. Water was provided twice a day. Impressum's digital weighing scale was used for fortnightly weighing. Data collected on different parameters were subjected to statistical analysis with 2 × 2 factorial arrangements of treatments under a completely randomized design. Results: After the 120-day trial period, the mean body weight and average daily gain of male and female calves were significantly increased (p < 0.05) in IMS as 80.8 ± 2.7, 77.8 ± 2.7 kg and 0.67 ± 0.02, 0.65 ± 0.02 kg/days than EMS as 64.5 ± 2.6, 52.9 ± 2.6 kg and 0.54 ± 0.02, 0.44 ± 0.02 kg/days. Intake of crop residues (p < 0.05) was found to be 6.9 ± 0.45 and 6.4 ± 0.45 kg/days for male and female calves in IMS, respectively, and 3.5 ± 0.23 for male and female calves in EMS, respectively. The conversion index g/kg average daily intake was 97.1, 101.5 and 154.3, 125.7 for male and female calves in IMS and EMS, respectively. Regarding hair mineral status, Ca, Mg, Cu, Zn, Fe, and Mn concentrations were found to be significantly different (p < 0.05) among calf groups in IMS and EMS. Conclusion: This study indicates that wool analysis and management of weight gain in camel calves should be further explored to support increased meat supply in arid regions.

Effect of Different Watering Regimes in Summer Season on Water Intake, Feed Intake, and Milk Production of Marecha She-camel (Camelus dromedarius).

Twelve lactating healthy Marecha she-camels in the early lactation stage during the summer at Camel Breeding and Research Station Rakh-Mahni (Pakistan) were included. All animals were fed with Medicago sativa and Cicer arientinum ad libitum and divided into three groups in relation to the access to water, after a period of seven days of adaptation to experimental conditions. Group 1 (G1) was considered as control having access to water once every day; Group 2 (G2) had access once every 4 days, while Group 3 (G3) had access once every 6 days. The duration of the study was 60 days with an adaptation period to experimental conditions of 7 days before the onset of the study. Dry matter intake (DMI) was calculated on a dry matter basis. On average the ambient temperature and relative humidity during the trial were 39-41 °C and 55-63%, respectively. The DMI, water intake, milk production, and body weight changes were affected (p < 0.001) during various watering regimes. The mean values of water intake were found to be 82.94 ± 1.34 L higher in G3 than G1 and G2.