Development and Validation of Equations for Predicting the Metabolizable Energy Value of Double-Low Rapeseed Cake for Growing Pigs
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 36.6 ± 4.1 kg) were allotted randomly to a completely...
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
|
Series: | Animals |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-2615/11/4/1168 |
_version_ | 1797537207095918592 |
---|---|
author | Lu Wang Qile Hu Peili Li Changhua Lai Defa Li Jianjun Zang Shouqing Ni |
author_facet | Lu Wang Qile Hu Peili Li Changhua Lai Defa Li Jianjun Zang Shouqing Ni |
author_sort | Lu Wang |
collection | DOAJ |
description | 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 36.6 ± 4.1 kg) were allotted randomly to a completely randomized design with 11 diets. The diets included a corn–soybean meal basal diet and 10 test diets containing 19.22% DLRSC supplemented at the expense of corn, soybean meal, and lysine. Neutral detergent fiber (NDF), crude fiber (CF), and gross energy (GE) were the best predictors to determine ME. The best-fit prediction equation of ME (MJ/kg) was ME = 9.33 − 0.09 × NDF − 0.25 × CF + 0.59 × GE (R<sup>2</sup> = 0.93). In Experiment 2, a total of 144 growing pigs (initial body weight 29.7 ± 2.7 kg), with six pigs per pen and six pens per treatment, were assigned randomly to four treatments in a completely randomized block design for a 28-day feeding trial. A corn–soybean meal basal diet was prepared, and three additional diets were formulated by adding 7%, 14%, and 21% DLRSC to the basal diet at the expense of soybean meal. All diets were formulated to provide equal standardized ileal digestibility (SID) Lys/ME ratio and SID essential amino acids/SID Lys ratio. Increasing dietary levels of DLRSC had no effect on average daily feed intake, average daily gain, and feed-to-gain ratio. The caloric efficiency of ME (31.83, 32.44, 31.95, and 32.69 MJ/kg, respectively) was not changed by increasing the dietary concentration of DLRSC. Increasing dietary levels of DLRSC linearly reduced (<i>p</i> < 0.05) the concentrations of triiodothyronine and tetraiodothyronine in serum, as well as apparent total tract digestibility of DM, GE, crude protein, acid detergent fiber, and organic matter of the diet. In conclusion, the ME prediction equation obtained in Experiment 1 accurately estimates the ME value of DLRSC fed to growing pigs. |
first_indexed | 2024-03-10T12:12:50Z |
format | Article |
id | doaj.art-b4827973e0d340b7bd07d2a601468f80 |
institution | Directory Open Access Journal |
issn | 2076-2615 |
language | English |
last_indexed | 2024-03-10T12:12:50Z |
publishDate | 2021-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Animals |
spelling | doaj.art-b4827973e0d340b7bd07d2a601468f802023-11-21T16:08:24ZengMDPI AGAnimals2076-26152021-04-01114116810.3390/ani11041168Development and Validation of Equations for Predicting the Metabolizable Energy Value of Double-Low Rapeseed Cake for Growing PigsLu Wang0Qile Hu1Peili Li2Changhua Lai3Defa Li4Jianjun Zang5Shouqing Ni6State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, ChinaState Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, ChinaState Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, ChinaState Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, ChinaState Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, ChinaState Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing 100193, ChinaShandong Provincial Key Laboratory of Water Pollution Control and Resource Reuse, School of Environmental Science and Engineering, Shandong University, Qingdao 266237, ChinaThe 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 36.6 ± 4.1 kg) were allotted randomly to a completely randomized design with 11 diets. The diets included a corn–soybean meal basal diet and 10 test diets containing 19.22% DLRSC supplemented at the expense of corn, soybean meal, and lysine. Neutral detergent fiber (NDF), crude fiber (CF), and gross energy (GE) were the best predictors to determine ME. The best-fit prediction equation of ME (MJ/kg) was ME = 9.33 − 0.09 × NDF − 0.25 × CF + 0.59 × GE (R<sup>2</sup> = 0.93). In Experiment 2, a total of 144 growing pigs (initial body weight 29.7 ± 2.7 kg), with six pigs per pen and six pens per treatment, were assigned randomly to four treatments in a completely randomized block design for a 28-day feeding trial. A corn–soybean meal basal diet was prepared, and three additional diets were formulated by adding 7%, 14%, and 21% DLRSC to the basal diet at the expense of soybean meal. All diets were formulated to provide equal standardized ileal digestibility (SID) Lys/ME ratio and SID essential amino acids/SID Lys ratio. Increasing dietary levels of DLRSC had no effect on average daily feed intake, average daily gain, and feed-to-gain ratio. The caloric efficiency of ME (31.83, 32.44, 31.95, and 32.69 MJ/kg, respectively) was not changed by increasing the dietary concentration of DLRSC. Increasing dietary levels of DLRSC linearly reduced (<i>p</i> < 0.05) the concentrations of triiodothyronine and tetraiodothyronine in serum, as well as apparent total tract digestibility of DM, GE, crude protein, acid detergent fiber, and organic matter of the diet. In conclusion, the ME prediction equation obtained in Experiment 1 accurately estimates the ME value of DLRSC fed to growing pigs.https://www.mdpi.com/2076-2615/11/4/1168double-low rapeseed cakemetabolizable energyprediction equationcaloric efficiencygrowing pig |
spellingShingle | Lu Wang Qile Hu Peili Li Changhua Lai Defa Li Jianjun Zang Shouqing Ni Development and Validation of Equations for Predicting the Metabolizable Energy Value of Double-Low Rapeseed Cake for Growing Pigs Animals double-low rapeseed cake metabolizable energy prediction equation caloric efficiency growing pig |
title | Development and Validation of Equations for Predicting the Metabolizable Energy Value of Double-Low Rapeseed Cake for Growing Pigs |
title_full | Development and Validation of Equations for Predicting the Metabolizable Energy Value of Double-Low Rapeseed Cake for Growing Pigs |
title_fullStr | Development and Validation of Equations for Predicting the Metabolizable Energy Value of Double-Low Rapeseed Cake for Growing Pigs |
title_full_unstemmed | Development and Validation of Equations for Predicting the Metabolizable Energy Value of Double-Low Rapeseed Cake for Growing Pigs |
title_short | Development and Validation of Equations for Predicting the Metabolizable Energy Value of Double-Low Rapeseed Cake for Growing Pigs |
title_sort | development and validation of equations for predicting the metabolizable energy value of double low rapeseed cake for growing pigs |
topic | double-low rapeseed cake metabolizable energy prediction equation caloric efficiency growing pig |
url | https://www.mdpi.com/2076-2615/11/4/1168 |
work_keys_str_mv | AT luwang developmentandvalidationofequationsforpredictingthemetabolizableenergyvalueofdoublelowrapeseedcakeforgrowingpigs AT qilehu developmentandvalidationofequationsforpredictingthemetabolizableenergyvalueofdoublelowrapeseedcakeforgrowingpigs AT peilili developmentandvalidationofequationsforpredictingthemetabolizableenergyvalueofdoublelowrapeseedcakeforgrowingpigs AT changhualai developmentandvalidationofequationsforpredictingthemetabolizableenergyvalueofdoublelowrapeseedcakeforgrowingpigs AT defali developmentandvalidationofequationsforpredictingthemetabolizableenergyvalueofdoublelowrapeseedcakeforgrowingpigs AT jianjunzang developmentandvalidationofequationsforpredictingthemetabolizableenergyvalueofdoublelowrapeseedcakeforgrowingpigs AT shouqingni developmentandvalidationofequationsforpredictingthemetabolizableenergyvalueofdoublelowrapeseedcakeforgrowingpigs |