دورية أكاديمية
Mathematical Models to Predict Dry Matter Intake and Milk Production by Dairy Cows Managed under Tropical Conditions
العنوان: | Mathematical Models to Predict Dry Matter Intake and Milk Production by Dairy Cows Managed under Tropical Conditions |
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المؤلفون: | Antonio Leandro Chaves Gurgel, Geraldo Tadeu dos Santos, Luís Carlos Vinhas Ítavo, Camila Celeste Brandão Ferreira Ítavo, Gelson dos Santos Difante, Alexandre Menezes Dias, Vanessa Zirondi Longhini, Tairon Pannunzio Dias-Silva, Marcos Jácome de Araújo, João Virgínio Emerenciano Neto, Patrick Bezerra Fernandes, Alfonso Juventino Chay-Canul |
المصدر: | Agriculture, Vol 13, Iss 7, p 1446 (2023) |
بيانات النشر: | MDPI AG |
سنة النشر: | 2023 |
المجموعة: | Directory of Open Access Journals: DOAJ Articles |
مصطلحات موضوعية: | fat, intake, milk composition, milk yield, milk urea nitrogen, protein, Agriculture (General), S1-972 |
الوصف: | This study aimed to create an equation to predict dry matter intake (DMI) and milk production and N-ureic in the milk of dairy cows managed in tropical conditions in Brazil. We used 113 observations from three experiments using lactating Jersey, Girolando, and Holstein cows. The goodness of fit of the developed equations was evaluated using the coefficients of determination (r 2 ) and root mean square error (RMSE). There was a positive correlation between body weight and milk yield (MY) of r = 0.73. The equation considered DMI to be the most important variable to estimate the MY (r 2 = 0.65). Four equations were adjusted to estimate the DMI, where, by a stepwise procedure, the first variable included in the equation was the neutral detergent fibre intake, which explained 92% of the DMI of the cows. However, when the variables BW, MY, and milk fat were included in the equation, there was a reduction of 0.06 in RMSE and an increase in precision (r 2 = 0.94). The nutrient intake, milk production, and characteristics prediction equations present satisfactory precision and accuracy for dairy cows managed in tropical conditions in Brazil. |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
تدمد: | 2077-0472 |
العلاقة: | https://www.mdpi.com/2077-0472/13/7/1446Test; https://doaj.org/toc/2077-0472Test; https://doaj.org/article/b1080432d1e2414c9d3ac6f23c4b7fe2Test |
DOI: | 10.3390/agriculture13071446 |
الإتاحة: | https://doi.org/10.3390/agriculture13071446Test https://doaj.org/article/b1080432d1e2414c9d3ac6f23c4b7fe2Test |
رقم الانضمام: | edsbas.E804C2E3 |
قاعدة البيانات: | BASE |
تدمد: | 20770472 |
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DOI: | 10.3390/agriculture13071446 |