Predicting the growth curve of body weight in madura cattle
The growth curve of livestock animals is important to evaluate the biological development managed with a farming management system. This study aimed to estimate the growth curve of body weight (BW) in Madura cattle (Bos indicus) kept at the breeding management. Three non-linear models of Logistic (L...
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| Format: | Article |
| Language: | English |
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Kafkas University, Faculty of Veterinary Medicine
2021-07-01
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| Series: | Kafkas Universitesi Veteriner Fakültesi Dergisi |
| Subjects: | |
| Online Access: | https://vetdergikafkas.org/pdf.php?id=2820 |
| _version_ | 1797800744686977024 |
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| author | Hartati HARTATI Widya PINTAKA BAYU PUTRA |
| author_facet | Hartati HARTATI Widya PINTAKA BAYU PUTRA |
| author_sort | Hartati HARTATI |
| collection | DOAJ |
| description | The growth curve of livestock animals is important to evaluate the biological development managed with a farming management system.
This study aimed to estimate the growth curve of body weight (BW) in Madura cattle (Bos indicus) kept at the breeding management. Three
non-linear models of Logistic (L), Gompertz (G) and Von Bertalanff y (B) were performed in this study using 186 records data and computed
with SPSS 16.0 package. Research showed that the asymptotic weight (male/female) was reached of 220.80/218.02 kg (L), 277.72/274.13
kg (G) and 333.92/329.83 kg (B). The weight of infl ection (male/female) was reached of 110.40/109.01 kg (L), 102.10/100.78 kg (G) and
98.94/97.73 kg (B). The time of infl ection (male/female) was reached of 10.89/10.47 months (L), 10.09/10.23 months (G) and 9.80 months
(B). Moreover, the coefficient of determination (R2) in all models included of high category i.e. 0.68 (male) and 0.70 (female). However, three
goodness-of-fit parameters of root mean squared error (RMSE), Akaike"s (AIC) and Beyesian (BIC) values revealed that G and B models were
more accurate than the other models for male and female, respectively. It can be concluded that about 68-70% of body weight of animals in
a study can be explained by non-linear models of L, G and B. |
| first_indexed | 2024-03-13T04:39:54Z |
| format | Article |
| id | doaj.art-f5a54bf3e83248a29ba068c7aae6993d |
| institution | Directory Open Access Journal |
| issn | 1309-2251 |
| language | English |
| last_indexed | 2024-03-13T04:39:54Z |
| publishDate | 2021-07-01 |
| publisher | Kafkas University, Faculty of Veterinary Medicine |
| record_format | Article |
| series | Kafkas Universitesi Veteriner Fakültesi Dergisi |
| spelling | doaj.art-f5a54bf3e83248a29ba068c7aae6993d2023-06-19T06:29:46ZengKafkas University, Faculty of Veterinary MedicineKafkas Universitesi Veteriner Fakültesi Dergisi1309-22512021-07-0127443143710.9775/kvfd.2021.254482820Predicting the growth curve of body weight in madura cattleHartati HARTATI0Widya PINTAKA BAYU PUTRA1Indonesian Beef Cattle Research Station, Pahlawan Rd. No. 2 Grati, Pasuruan, East Java, 67184, INDONESIAResearch Center for Biotechnology - Indonesian Institute of Science, Bogor-Jakarta Rd. Km. 46 Cibinong, Bogor, West Java, 16911, INDONESIAThe growth curve of livestock animals is important to evaluate the biological development managed with a farming management system. This study aimed to estimate the growth curve of body weight (BW) in Madura cattle (Bos indicus) kept at the breeding management. Three non-linear models of Logistic (L), Gompertz (G) and Von Bertalanff y (B) were performed in this study using 186 records data and computed with SPSS 16.0 package. Research showed that the asymptotic weight (male/female) was reached of 220.80/218.02 kg (L), 277.72/274.13 kg (G) and 333.92/329.83 kg (B). The weight of infl ection (male/female) was reached of 110.40/109.01 kg (L), 102.10/100.78 kg (G) and 98.94/97.73 kg (B). The time of infl ection (male/female) was reached of 10.89/10.47 months (L), 10.09/10.23 months (G) and 9.80 months (B). Moreover, the coefficient of determination (R2) in all models included of high category i.e. 0.68 (male) and 0.70 (female). However, three goodness-of-fit parameters of root mean squared error (RMSE), Akaike"s (AIC) and Beyesian (BIC) values revealed that G and B models were more accurate than the other models for male and female, respectively. It can be concluded that about 68-70% of body weight of animals in a study can be explained by non-linear models of L, G and B.https://vetdergikafkas.org/pdf.php?id=2820body weightgrowth curveinfl ectionmadura cattlenon-linear models |
| spellingShingle | Hartati HARTATI Widya PINTAKA BAYU PUTRA Predicting the growth curve of body weight in madura cattle Kafkas Universitesi Veteriner Fakültesi Dergisi body weight growth curve infl ection madura cattle non-linear models |
| title | Predicting the growth curve of body weight in madura cattle |
| title_full | Predicting the growth curve of body weight in madura cattle |
| title_fullStr | Predicting the growth curve of body weight in madura cattle |
| title_full_unstemmed | Predicting the growth curve of body weight in madura cattle |
| title_short | Predicting the growth curve of body weight in madura cattle |
| title_sort | predicting the growth curve of body weight in madura cattle |
| topic | body weight growth curve infl ection madura cattle non-linear models |
| url | https://vetdergikafkas.org/pdf.php?id=2820 |
| work_keys_str_mv | AT hartatihartati predictingthegrowthcurveofbodyweightinmaduracattle AT widyapintakabayuputra predictingthegrowthcurveofbodyweightinmaduracattle |