Araştırma Makalesi
Yıl 2022,
Cilt: 5 Sayı: 3, 260 - 264, 01.07.2022
Öz
In this study, in vitro gas production values (hour/ml) of standard, alfalfa and corn plants at 3, 6, 9, 12, 24, 36, 48, 72 and 96 hours in Kahramanmaras Sutcu Imam University Animal Science Department Feeds and Animal Nutrition Laboratory. ) used cubic piecewise regression, Richard, Logistics, Gamma, Gompertz, Orscov, Sigmoaidal and Quadratic Piecewise Regression models were used. In the modeling study, mean squares of error, determination coefficient, Akaike information criterion and Durbin-Watson autocorrelation values were taken into account for each model of in vitro gas production values. As a result of the study, it was concluded that Logistic and Gompertz models had the best results in corn and alfalfa, standard, while the Gamma model had the worst results in all feeds in terms of the comparison criteria, mean squares of error, coefficient of determination, Akaike information criterion and Durbin-Watson Autocorrelation values.
Anahtar Kelimeler
Kaynakça
- Canbolat Ö, Kamalak A, Efe E, Şahin M, Özkan ÇÖ. 2007. Effect of heat treatment on in situ rumen degradability and in vitro gas production of full-fat soyabeans and soyabean meal. South African J Anim Sci, 35: 3.
- Canbolat Ö, Kara H, Filya İ. 2013. Bazı baklagil kaba yemlerinin in-vitro gaz üretimi, metabolic enerji, organic madde sindirimi ve mikrobiyal protein üretimlerinin karşılaştırılması. Uludağ Üniv Zir Fak Derg, 27: 71-81.
- Çölkesen M, Kamalak A, Canbolat Ö, Gürbüz Y, Özkan ÇÖ. 2005. Effect of cultivar and formaldehyde treatment of barley grain on rumen fermentation characteristics using in vitro gas production. South African J Anim Sci, 35(3).
- Çetinkaya N, Erdem F. 2015. In-vitro gaz üretim metoduyla yemlerin parçalanma kinetic parametrelerinin hesaplanmasında kullanılan matematiksel modeller. Lalahan Hayv Araşt Enst Derg, 55(2): 68-72.
- France J, Theodorou MK, Lowman RS, Beever DE. 2000. Feed evaluation for animal production. İn: Theodorou MK, France J (Eds.) Feeding system and fed evaluation models. CAB İnternational, Wallingford, US, pp: 496.
- Gülboz Ö, Önder H. 2018. Determination of the most appropriate regression method to estimate metabolic energy values by in vitro gas production technique. BSJ Eng Sci, 1(3): 83-88.
- Karabulut A, Özkan ÇÖ, Kamalak A, Canbolat Ö. 2006. Comparison of the nutritive value of a native Turkish forages, tumbleweed hay (Gundeliatournefortii L.), wheat straw and alfalfa hay using in situ and in vitro measurements with sheep. Archivos Latinoamericanos de Prod Anim, 14(3): 78-83.
- Menke KH, Steingass H. 1988. Estimation of the energetic feed value obtained from chemical analysis and in-vitro gas production using rumen fluid. Anim Res Devel, 28: 7-55.
- Orskov ER, McDonald I. 1979. The estimation of protein degradability in the rumen from incubation measurements weighted according to the rate of passage. J Agric Sci, 92: 449-503.
- Öztürk D, Bal MA, Erol A, Şahin M, Özkan ÇÖ, Karataş E, Ata M, Karabay P. 2006. Determination of nutritive value of wild chicory (Cichoriumintybus) forage harvested at different maturity stage using in vitro and in situ measurements. Pakistan J Biol Sci, 9(2): 253-259.
- Rodrigues MAM, Cone JW, Guedes CVM, Ferreira LMM. 2009. Relationship between in situ degradation kinetics and in vitro gas production fermentation using different mathematical models. Anim Feed Sci Technol, 151: 86-96.
- Rymer C, Huntingon JA, Williams BA, Givens DI. 2005. In-vitro cumulative gas production techniques: History, methodological considerations and challenges. Anim Feed Sci Technol, 123: 9-30.
- SAS. 1999. INC SAS/STAT User’s Guide Release 7.0 Cary NC, US.
- Üçkardeş F, Korkmaz M, Ocal P. 2013. Comparison of models and estimation of missing parameters of some mathematical models related to in situ dry matter degradation. J Anim Plant Sci, 23(4): 999-1007.
- Üçkardeş F, Efe E. 2014. Investigation on the usability of some mathematical models in in-vitro gas production techniques. Slovak J Anim Sci, 47: 172-179.
- Van Soest PJ. 1994. Nutritional ecology of the ruminant, 2 nd ed., Cornell University Press, Ithaca, NY, US.
- Wang M, Tang SX, Tan ZL. 2011. Modeling in vitro gas production kinetics. Derivation of Logistic–Exponential (LE) equations and comparison of models. Anim Feed Sci Technol, 165: 137-150.
Yıl 2022,
Cilt: 5 Sayı: 3, 260 - 264, 01.07.2022
Öz
Kaynakça
- Canbolat Ö, Kamalak A, Efe E, Şahin M, Özkan ÇÖ. 2007. Effect of heat treatment on in situ rumen degradability and in vitro gas production of full-fat soyabeans and soyabean meal. South African J Anim Sci, 35: 3.
- Canbolat Ö, Kara H, Filya İ. 2013. Bazı baklagil kaba yemlerinin in-vitro gaz üretimi, metabolic enerji, organic madde sindirimi ve mikrobiyal protein üretimlerinin karşılaştırılması. Uludağ Üniv Zir Fak Derg, 27: 71-81.
- Çölkesen M, Kamalak A, Canbolat Ö, Gürbüz Y, Özkan ÇÖ. 2005. Effect of cultivar and formaldehyde treatment of barley grain on rumen fermentation characteristics using in vitro gas production. South African J Anim Sci, 35(3).
- Çetinkaya N, Erdem F. 2015. In-vitro gaz üretim metoduyla yemlerin parçalanma kinetic parametrelerinin hesaplanmasında kullanılan matematiksel modeller. Lalahan Hayv Araşt Enst Derg, 55(2): 68-72.
- France J, Theodorou MK, Lowman RS, Beever DE. 2000. Feed evaluation for animal production. İn: Theodorou MK, France J (Eds.) Feeding system and fed evaluation models. CAB İnternational, Wallingford, US, pp: 496.
- Gülboz Ö, Önder H. 2018. Determination of the most appropriate regression method to estimate metabolic energy values by in vitro gas production technique. BSJ Eng Sci, 1(3): 83-88.
- Karabulut A, Özkan ÇÖ, Kamalak A, Canbolat Ö. 2006. Comparison of the nutritive value of a native Turkish forages, tumbleweed hay (Gundeliatournefortii L.), wheat straw and alfalfa hay using in situ and in vitro measurements with sheep. Archivos Latinoamericanos de Prod Anim, 14(3): 78-83.
- Menke KH, Steingass H. 1988. Estimation of the energetic feed value obtained from chemical analysis and in-vitro gas production using rumen fluid. Anim Res Devel, 28: 7-55.
- Orskov ER, McDonald I. 1979. The estimation of protein degradability in the rumen from incubation measurements weighted according to the rate of passage. J Agric Sci, 92: 449-503.
- Öztürk D, Bal MA, Erol A, Şahin M, Özkan ÇÖ, Karataş E, Ata M, Karabay P. 2006. Determination of nutritive value of wild chicory (Cichoriumintybus) forage harvested at different maturity stage using in vitro and in situ measurements. Pakistan J Biol Sci, 9(2): 253-259.
- Rodrigues MAM, Cone JW, Guedes CVM, Ferreira LMM. 2009. Relationship between in situ degradation kinetics and in vitro gas production fermentation using different mathematical models. Anim Feed Sci Technol, 151: 86-96.
- Rymer C, Huntingon JA, Williams BA, Givens DI. 2005. In-vitro cumulative gas production techniques: History, methodological considerations and challenges. Anim Feed Sci Technol, 123: 9-30.
- SAS. 1999. INC SAS/STAT User’s Guide Release 7.0 Cary NC, US.
- Üçkardeş F, Korkmaz M, Ocal P. 2013. Comparison of models and estimation of missing parameters of some mathematical models related to in situ dry matter degradation. J Anim Plant Sci, 23(4): 999-1007.
- Üçkardeş F, Efe E. 2014. Investigation on the usability of some mathematical models in in-vitro gas production techniques. Slovak J Anim Sci, 47: 172-179.
- Van Soest PJ. 1994. Nutritional ecology of the ruminant, 2 nd ed., Cornell University Press, Ithaca, NY, US.
- Wang M, Tang SX, Tan ZL. 2011. Modeling in vitro gas production kinetics. Derivation of Logistic–Exponential (LE) equations and comparison of models. Anim Feed Sci Technol, 165: 137-150.
Toplam 17 adet kaynakça vardır.
Ayrıntılar
| Birincil Dil | İngilizce |
|---|---|
| Konular | Hayvansal Üretim (Diğer) |
| Bölüm | Research Articles |
| Yazarlar | |
| Yayımlanma Tarihi | 1 Temmuz 2022 |
| Gönderilme Tarihi | 22 Mart 2022 |
| Kabul Tarihi | 13 Mayıs 2022 |
| Yayımlandığı Sayı | Yıl 2022 Cilt: 5 Sayı: 3 |
