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Correction

Correction: Salazar-Cubillas, K.C.; Dickhoefer, U. Evaluating the Protein Value of Fresh Tropical Forage Grasses and Forage Legumes Using In Vitro and Chemical Fractionation Methods. Animals 2021, 11, 2853

by
Khaterine C. Salazar-Cubillas
1 and
Uta Dickhoefer
1,2,*
1
Institute of Agricultural Sciences in the Tropics (Hans-Ruthenberg-Institute), Animal Nutrition and Rangeland Management in the Tropics and Subtropics, University of Hohenheim, 70599 Stuttgart, Germany
2
Institute of Animal Nutrition and Physiology, Christian-Albrechts-Universität zu Kiel, 24118 Kiel, Germany
*
Author to whom correspondence should be addressed.
Animals 2022, 12(2), 173; https://doi.org/10.3390/ani12020173
Submission received: 23 November 2021 / Accepted: 3 December 2021 / Published: 12 January 2022
(This article belongs to the Section Animal Nutrition)

Error in Figure/Table

The authors wish to make the following correction to their paper [1]. In the Results section, Table 2 was incorrect due to some errors with the location of numbers. The correct version of the table appears below. The authors apologize for any inconvenience; the change does not affect the scientific results on the animal level.
The authors would like to apologize for any inconvenience to the readers caused by these errors.

Reference

  1. Salazar-Cubillas, K.C.; Dickhoefer, U. Evaluating the protein value of fresh tropical forage grasses and forage legumes using in vitro and chemical fractionation methods. Animals 2021, 11, 2853. [Google Scholar] [CrossRef] [PubMed]
Table 2. Predictions of the post-ruminal crude protein (PRCP) supply as estimated with the reference and in vitro methods at rumen passage rates of 2, 5, and 8%/h and as calculated with the chemical method using the equation of Zhao and Cao [5] at rumen passage rate of 5%/h of fresh tropical forage grasses and legumes.
Table 2. Predictions of the post-ruminal crude protein (PRCP) supply as estimated with the reference and in vitro methods at rumen passage rates of 2, 5, and 8%/h and as calculated with the chemical method using the equation of Zhao and Cao [5] at rumen passage rate of 5%/h of fresh tropical forage grasses and legumes.
Error-Index cDimensionless d
Kp aPRCP Method bMeanMean BiasRMSEMAPERSRConcordance Correlation Coefficient
[%/h] [g/kg Dry Matter][g/kg Dry Matter][% Mean Reference PRCP][% Mean Reference PRCP][From 0 to ∞]Coefficient [From −1 to 1]ρ [From −1 to 1]Cb [From 0 to 1]
Fresh Tropical Forages (n = 38)
2Reference PRCP113
In vitro PRCP1085.1717141.260.530.650.82
5Reference PRCP119
In vitro PRCP1172.8316130.990.690.840.83
Chemical PRCP200−66.9174674.680.140.870.16
8Reference PRCP122
In vitro PRCP1231.1715130.860.740.880.84
Fresh Tropical Forage Grasses (n = 23)
2Reference PRCP105
In vitro PRCP1005.9016131.600.530.750.71
5Reference PRCP110
In vitro PRCP1028.6115131.220.660.890.73
Chemical PRCP173−56.0462565.050.130.830.16
8Reference PRCP113
In vitro PRCP1058.3713120.980.730.930.78
Fresh Tropical Forage Legumes (n = 15)
2Reference PRCP125
In vitro PRCP1204.0519141.930.200.300.65
5Reference PRCP132
In vitro PRCP140−6.0316131.460.290.390.73
Chemical PRCP242−83.5985847.620.030.560.05
8Reference PRCP137
In vitro PRCP150−9.8717151.330.300.440.68
a Passage rates through the rumen. b PRCP methods: reference PRCP, PRCP supply determined at rumen passage rates of 2, 5, and 8%/h with the equation N°11 of Lebzien et al. [15] using information on in situ rumen-undegraded crude protein at rumen passage rates of 2, 5 and 8%/h, crude protein, and digested organic matter concentration determined from in vitro gas production; in vitro PRCP, PRCP supply estimated with the in vitro method [4]; chemical PRCP, PRCP supply calculated from concentrations of crude protein fractions using the equation of Zhao and Cao [5] for dried forage grasses, a grass silage, a fresh forage legume, and corn and soybean by-products. Results from the chemical method were only compared at a rumen passage rate of 5%/h, because the method was validated against a PRCP measurement after 24 h in vitro incubation, which resembles a PRCP supply at a rumen passage rate of 5%/h. c Error-index measurements include measures on mean bias, root mean square error (RMSE), and mean absolute percentage error (MAPE). d Dimensionless; includes measures such as the ratio between root mean square error and standard deviation (RSR), the concordance correlation coefficient (CCC), and its partitioning into correlation coefficient (ρ, i.e., precision) and bias correction factor (Cb; i.e., accuracy).
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Salazar-Cubillas, K.C.; Dickhoefer, U. Correction: Salazar-Cubillas, K.C.; Dickhoefer, U. Evaluating the Protein Value of Fresh Tropical Forage Grasses and Forage Legumes Using In Vitro and Chemical Fractionation Methods. Animals 2021, 11, 2853. Animals 2022, 12, 173. https://doi.org/10.3390/ani12020173

AMA Style

Salazar-Cubillas KC, Dickhoefer U. Correction: Salazar-Cubillas, K.C.; Dickhoefer, U. Evaluating the Protein Value of Fresh Tropical Forage Grasses and Forage Legumes Using In Vitro and Chemical Fractionation Methods. Animals 2021, 11, 2853. Animals. 2022; 12(2):173. https://doi.org/10.3390/ani12020173

Chicago/Turabian Style

Salazar-Cubillas, Khaterine C., and Uta Dickhoefer. 2022. "Correction: Salazar-Cubillas, K.C.; Dickhoefer, U. Evaluating the Protein Value of Fresh Tropical Forage Grasses and Forage Legumes Using In Vitro and Chemical Fractionation Methods. Animals 2021, 11, 2853" Animals 12, no. 2: 173. https://doi.org/10.3390/ani12020173

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