Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Qile Hu"'
Publikováno v:
Journal of Animal Science and Biotechnology, Vol 13, Iss 1, Pp 1-13 (2022)
Abstract Backgrounds Evaluating the growth performance of pigs in real-time is laborious and expensive, thus mathematical models based on easily accessible variables are developed. Multiple regression (MR) is the most widely used tool to build predic
Externí odkaz:
https://doaj.org/article/9d3078aca610429a871dd195392211d2
Publikováno v:
Journal of Animal Science and Biotechnology, Vol 13, Iss 1, Pp 1-2 (2022)
Externí odkaz:
https://doaj.org/article/30eb9be84bd840019c2f6c37c925ea75
Publikováno v:
Animals, Vol 12, Iss 13, p 1667 (2022)
The inclusion of high-quality proteins is commonly used in swine production, especially in weaned pigs. Our research investigated the effects of replacing fishmeal (FM) and soybean protein concentrate (SPC) with degossypolized cottonseed protein (DCP
Externí odkaz:
https://doaj.org/article/b19ea4733ba24043be9cc815a2d426ad
Autor:
Bingbing Huang, Huangwei Shi, Li Wang, Lu Wang, Zhiqian Lyu, Qile Hu, Jianjun Zang, Defa Li, Changhua Lai
Publikováno v:
Animals, Vol 11, Iss 5, p 1374 (2021)
This study was conducted to determine the effects of low-protein diet prepared with different levels of defatted rice bran (DFRB) and weight stages on growth performance and nutrient digestibility of growing–finishing pigs. The animal experiment in
Externí odkaz:
https://doaj.org/article/1283e843bbe24acfa3ded9c2a962a288
Publikováno v:
Animals, Vol 11, Iss 4, p 1168 (2021)
The study was conducted to develop and validate an equation to predict the metabolizable energy (ME) of double-low rapeseed cakes (DLRSC) for growing pigs based on their chemical compositions. In Experiment 1, 66 growing pigs (initial body weight 36.
Externí odkaz:
https://doaj.org/article/b4827973e0d340b7bd07d2a601468f80
Publikováno v:
Animals, Vol 10, Iss 1, p 48 (2019)
An experiment was conducted to determine the effect of oil sources with differing degrees of fatty acid saturation on endogenous losses of fat (ELF) and fatty acids (ELFA) in growing pigs, in which endogenous losses were estimated by two methods. Six
Externí odkaz:
https://doaj.org/article/cf47f5ee56f9460097f9b34463b62414
Publikováno v:
Journal of animal science.
Two experiments were conducted to determine the digestible energy and metabolizable energy contents, as well as the apparent ileal digestibility and standardized ileal digestibility of amino acids in full-fat soybean fed to growing pigs. Ten full-fat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::792f5c63916aa37ac40eaeace966d182
https://pubmed.ncbi.nlm.nih.gov/36444860
https://pubmed.ncbi.nlm.nih.gov/36444860
Publikováno v:
Journal of animal science.
The objectives of this study were to evaluate the net energy partition patterns of growing-finishing pigs at different growing stages and to develop the corresponding prediction models using non-linear regression and artificial neural networks. Twent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46e08d08a2069c292fbf3b11b6cf211e
https://pubmed.ncbi.nlm.nih.gov/36545775
https://pubmed.ncbi.nlm.nih.gov/36545775
Publikováno v:
The Science of the total environment. 856(Pt 1)
As the world's largest pork producer, China is facing substantial environmental pressures caused by pig production and the relevant feed production. The net energy (NE) system is promoted as a new evaluation method to evaluate energy content in feed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1298a3dfa1abf02c4e2be95f20bf9e6
https://pubmed.ncbi.nlm.nih.gov/36181803
https://pubmed.ncbi.nlm.nih.gov/36181803
Publikováno v:
Journal of animal science and biotechnology. 13(1)
Backgrounds Evaluating the growth performance of pigs in real-time is laborious and expensive, thus mathematical models based on easily accessible variables are developed. Multiple regression (MR) is the most widely used tool to build prediction mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64359284e59b1233ccd4c8e81b837e1c
https://pubmed.ncbi.nlm.nih.gov/36210468
https://pubmed.ncbi.nlm.nih.gov/36210468