scholarly journals Prediction of Body Weight based on Body Measurements in Crossbred Cattle

Author(s):  
J. Patel Ashwini
2021 ◽  
Vol 888 (1) ◽  
pp. 012018
Author(s):  
M Primananda ◽  
Aryogi ◽  
P W Prihandini

Abstract This study aimed to evaluate the productivity of the Belgian Blue x POGASI crossbred cattle raised at the Beef Cattle Research Station located at Grati, Pasuruan. Therefore, data on productivity, such as body measurements, birth, weaning, and yearling weight, as well as reproductive performances, were collected and analyzed using t-tests from 11 calves of Belgian Blue x POGASI (F1) crossbred cattle consisting of 5 males and 6 females, and also 11 calves of POGASI cattle consisting of 3 males and 8 females. From the results, there were significant differences (P<0.05) in body measurements between Belgian Blue x POGASI crosses and the POGASI cattle. Specifically, the Belgian Blue x POGASI crossbred calves had birth, weaning, and a yearling weight of 34.45±6.55 kg, 218.08±37.99 kg and 368.05±41.77 kg, respectively, as well as age at first estrus and libido of 12.99±3.13 months and 16.53±1.45 months, respectively. Also, the crossbred calves had body weight at first estrus and libido of 413.25±38.46 kg and 489.75±42.60 kg, respectively. In conclusion, the productivity of Belgian Blue x POGASI crossbred calves was higher than that of POGASI calves. Therefore, it was concluded that BB x POGASI calves produced greater performances than POGASI calves.


2016 ◽  
Vol 1 (3) ◽  
pp. 569-577
Author(s):  
Md Mahbubur Rashid ◽  
Md Azharul Hoque ◽  
Khan Shahidul Huque ◽  
Md Azharul Islam Talukder ◽  
AK Fazlul Huque Bhuiyan

The present work was conducted to evaluate the variability in linear body measurements; to investigate the relationship between body linear measurements and live weight and to predict live weight of F1 Brahman crossbred cattle using body measurements. A total of 123 male and 87 female F1 Brahman crossbred cattle of 6-36 months age and weighing from 63 to 535 kg were used for the study over a period from 2010 to 2014. The study revealed that that most of the morphological measurements were linearly increased with the advances of age. The body weight had highest correlation coefficient with the heart girth around the chest (r=0.96, p<0.001) and lowest with canon bone length (r=0.49, p<0.001) compared with other body measurements. The correlations of body weight with tail length, ear length, canon bone length and canon bone width were at medium level (r=0.51-0.79). Grouping of data according to age indicated that heart girth in >24 months group had highest correlation coefficient (r=0.96) with body weight compared to ?12 months (r=0.92) and >12-24 months (r=0.95) group. The stepwise regression models revealed that heart girth singly accounted highest variation (93%) in body weight for all animals. Thus, the general equation for prediction of live weight of Brahman crossbred cattle was Y=4.07HG–356 (±6.96) where Y=live weight (Kg), HG=heart girth around the chest (cm). The regression equations for the live weight were Y=2.71HG–191 (±13.5), Y=4.05HG–357 (±9.77) and Y=4.87HG–471 (±23.0) for ?12, >12-24 and >24 months age groups. The best model for estimating body weight was obtained using HG and body length (BL) for all animals Y=2.83HG+1.80BL–392 (±6.69). These results suggested that prediction equations based on HG or in combination of HG and BL can be used efficiently in Brahman crossbred cattle to predict live weight.Asian J. Med. Biol. Res. December 2015, 1(3): 569-577


2009 ◽  
Vol 52 (4) ◽  
pp. 371-377 ◽  
Author(s):  
S. Ozkaya ◽  
Y. Bozkurt

Abstract. The objective of this study was to determine the accuracy of prediction of body weight from body measurements in beef cattle. Wither height, chest girth, body length, chest depth, hip width and hip height measurements were obtained from Holstein, Brown Swiss and crossbred (n=140). Determination coefficients (R2) of regression equation that included all body measurements were higher in Brown Swiss and crossbred than Holstein (92.2, 95.0 and 68.2 %, respectively). However, it was found that chest girth was the best parameter of all for prediction of body weight in Brown Swiss (R2=91.1 %) and crossbred cattle (R2=88.8 %) in comparison to Holstein (R2=60.7 %). According to these results, the body weight estimation of Brown Swiss and crossbred cattle using the body measurements produced higher prediction accuracies than Holstein but chest girth was the best parameter to prediction of body weight among all body measurements. However, the prediction accuracy of prediction of body weight from body measurements and also chest girth was decreased when the animals frame size was increased.


2021 ◽  
Vol 53 (1) ◽  
Author(s):  
Rafael Macedo-Barragán ◽  
Victalina Arredondo-Ruiz ◽  
Carlos Haubi-Segura ◽  
Paola Castillo-Zamora

ZOOTEC ◽  
2018 ◽  
Vol 38 (2) ◽  
pp. 320
Author(s):  
Giandi Grahadi Turangan ◽  
B. Tulung ◽  
Y.R.L. Tulung ◽  
M.R. Waani

NDF AND ADF DIGESTIBILITY WHICH GET THE SUPPLEMENTED UREA MOLASSES MULTINUTRIENT BLOCK (UMMB) OF SOME CROP RESIDUES TYPE AND LOCAL GRASS ON ONGOLE CROSSBRED CATTLE. A research evaluating dry matter (DM) and organic matter (OM) digestibility of crops residues and local grass supplemented urea molasses multinutrient block (UMMB) on Ongole crossbred cattle (PO). Four male PO cattle, 12 – 18 months of age with ± 100 kg of body weight were used in this experiment. Latin Square Design 4 x 4 with 4 cows and 4 treatments was used. The treatments were : R1 : UMMB + local grass, R2: UMMB + Corn straw, R3: UMMB + Rice straw, and R4: UMMB + peanut straw. The results showed that there were significant effect (P<0.01) of treatments on NDF and ADF digestibility. C1 showed that NDF and ADF digestibility of local grass (68.44% and 61.37%) were higher (P<0.05) compared to crop residues (corn straw 65.25% and 58.59%, rice straw 62.63% dan 52.80%, and peanut straw 67.53% and 59.81%) respectively. C2 showed that NDF and ADF digestibility of legume straw was higher than grasses straw; and C3 showed that  NDF and ADF digestibility of rice straw was lower than corn straw. The results have concluded that : 1. NDF and ADF digestibility of local grass were higher compared to crop residues. 2. NDF and ADF digestibility of legume straw (peanut straw) was higher than grasses straw  (corn straw and ricce straw);3. NDF and ADF digestibility of  corn straw was higher than peanut straw.Key words: NDF and ADF digestibility, crop residues, UMMB, ongole crossbred cattle


Author(s):  
Koray ÇELİKELOĞLU ◽  
◽  
Mustafa TEKERLİ ◽  

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Oumer Sheriff ◽  
Kefyalew Alemayehu ◽  
Aynalem Haile

Abstract Background An exploratory field research was conducted in northwestern Ethiopia, to characterize the morphological features of Arab and Oromo goat populations as an input to design community-based breeding programs. Ten qualitative and nine quantitative traits were considered from 747 randomly selected goats. All data collected during the study period were analyzed using R statistical software. Results Plain white coat color was predominantly observed in Arab goats (33.72%) while plain brown (deep and light) coat color was the most frequent in Oromo goats (27.81%). The morphometric measurements indicated that Oromo goats have significantly higher body weight and linear body measurements than Arab goats. Positive, strong and highly significant correlations were obtained between body weight and most of the body measurements in both goat populations. The highest correlation coefficients of chest girth with body weight for Arab (r  =  0.95) and Oromo (r  =  0.92) goat populations demonstrated a strong association between these variables. Live body weight could be predicted with regression equations of y  =  − 33.65  +  0.89  ×  for Arab goats (R2  =  90) and y  =  − 37.55  +  0.94  ×  for Oromo goats (R2  =  85), where y and x are body weight and chest girth, respectively, in these goat types. Conclusions The morphological variations obtained in this study could be complemented by performance data and molecular characterization using DNA markers to guide the overall goat conservation and formulation of appropriate breeding and selection strategies.


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