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1.
Modeling net energy partition patterns of growing-finishing pigs using nonlinear regression and artificial neural networks.
J Anim Sci
; 1012023 Jan 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-36545775
2.
Determination and prediction of the available energy and amino acids digestibility of full-fat soybean fed to growing pigs.
J Anim Sci
; 1012023 Jan 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-36444860
3.
Mitigating environmental impacts using net energy system in feed formulation in China's pig production.
Sci Total Environ
; 856(Pt 1): 159103, 2023 Jan 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-36181803
4.
Effects of Replacing Fishmeal and Soybean Protein Concentrate with Degossypolized Cottonseed Protein in Diets on Growth Performance, Nutrient Digestibility, Intestinal Morphology, Cecum Microbiome and Fermentation of Weaned Piglets.
Animals (Basel)
; 12(13)2022 Jun 28.
Artículo
en Inglés
| MEDLINE | ID: mdl-35804565
5.
Predicting the growth performance of growing-finishing pigs based on net energy and digestible lysine intake using multiple regression and artificial neural networks models.
J Anim Sci Biotechnol
; 13(1): 57, 2022 May 13.
Artículo
en Inglés
| MEDLINE | ID: mdl-35550214
6.
Effects of dietary oil sources and fat extraction methods on apparent and standardized ileal digestibility of fat and fatty acids in growing pigs.
J Anim Sci Biotechnol
; 13(1): 143, 2022 Dec 14.
Artículo
en Inglés
| MEDLINE | ID: mdl-36517863
7.
Chemical composition, energy content, and amino acid digestibility in Cyperus esculentus co-products fed to growing pigs.
J Anim Sci
; 99(11)2021 Nov 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-34673975
8.
Effects of Defatted Rice Bran Inclusion Level on Nutrient Digestibility and Growth Performance of Different Body Weight Pigs.
Animals (Basel)
; 11(5)2021 May 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-34065992
9.
Effects of different defatted rice bran sources and processing technologies on nutrient digestibility in cannulated growing pigs.
J Anim Sci
; 99(2)2021 Feb 01.
Artículo
en Inglés
| MEDLINE | ID: mdl-33532861
10.
Correction: Predicting the growth performance of growing-finishing pigs based on net energy and digestible lysine intake using multiple regression and artificial neural networks models.
J Anim Sci Biotechnol
; 13(1): 128, 2022 Oct 09.
Artículo
en Inglés
| MEDLINE | ID: mdl-36210468
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