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Predicting nutrient excretion from dairy cows on smallholder farms in Indonesia using readily available farm data

OBJECTIVE: This study was conducted to provide models to accurately predict nitrogen (N) and phosphorus (P) excretion of dairy cows on smallholder farms in Indonesia based on readily available farm data. METHODS: The generic model in this study is based on the principles of the Lucas equation, descr...

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Autores principales: Al Zahra, Windi, van Middelaar, Corina E., de Boer, Imke J.M, Oosting, Simon J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7649398/
https://www.ncbi.nlm.nih.gov/pubmed/32777889
http://dx.doi.org/10.5713/ajas.20.0089
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author Al Zahra, Windi
van Middelaar, Corina E.
de Boer, Imke J.M
Oosting, Simon J.
author_facet Al Zahra, Windi
van Middelaar, Corina E.
de Boer, Imke J.M
Oosting, Simon J.
author_sort Al Zahra, Windi
collection PubMed
description OBJECTIVE: This study was conducted to provide models to accurately predict nitrogen (N) and phosphorus (P) excretion of dairy cows on smallholder farms in Indonesia based on readily available farm data. METHODS: The generic model in this study is based on the principles of the Lucas equation, describing the relation between dry matter intake (DMI) and faecal N excretion to predict the quantity of faecal N (Q(FN)). Excretion of urinary N and faecal P were calculated based on National Research Council recommendations for dairy cows. A farm survey was conducted to collect input parameters for the models. The data set was used to calibrate the model to predict Q(FN) for the specific case. The model was validated by comparing the predicted quantity of faecal N with the actual quantity of faecal N (Q(FNACT)) based on measurements, and the calibrated model was compared to the Lucas equation. The models were used to predict N and P excretion of all 144 dairy cows in the data set. RESULTS: Our estimate of true N digestibility equalled the standard value of 92% in the original Lucas equation, whereas our estimate of metabolic faecal N was −0.60 g/100 g DMI, with the standard value being −0.61 g/100 g DMI. Results of the model validation showed that the R(2) was 0.63, the MAE was 15 g/animal/d (17% from Q(FNACT)), and the RMSE was 20 g/animal/d (22% from Q(FNACT)). We predicted that the total N excretion of dairy cows in Indonesia was on average 197 g/animal/d, whereas P excretion was on average 56 g/animal/d. CONCLUSION: The proposed models can be used with reasonable accuracy to predict N and P excretion of dairy cattle on smallholder farms in Indonesia, which can contribute to improving manure management and reduce environmental issues related to nutrient losses.
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spelling pubmed-76493982020-12-01 Predicting nutrient excretion from dairy cows on smallholder farms in Indonesia using readily available farm data Al Zahra, Windi van Middelaar, Corina E. de Boer, Imke J.M Oosting, Simon J. Asian-Australas J Anim Sci Article OBJECTIVE: This study was conducted to provide models to accurately predict nitrogen (N) and phosphorus (P) excretion of dairy cows on smallholder farms in Indonesia based on readily available farm data. METHODS: The generic model in this study is based on the principles of the Lucas equation, describing the relation between dry matter intake (DMI) and faecal N excretion to predict the quantity of faecal N (Q(FN)). Excretion of urinary N and faecal P were calculated based on National Research Council recommendations for dairy cows. A farm survey was conducted to collect input parameters for the models. The data set was used to calibrate the model to predict Q(FN) for the specific case. The model was validated by comparing the predicted quantity of faecal N with the actual quantity of faecal N (Q(FNACT)) based on measurements, and the calibrated model was compared to the Lucas equation. The models were used to predict N and P excretion of all 144 dairy cows in the data set. RESULTS: Our estimate of true N digestibility equalled the standard value of 92% in the original Lucas equation, whereas our estimate of metabolic faecal N was −0.60 g/100 g DMI, with the standard value being −0.61 g/100 g DMI. Results of the model validation showed that the R(2) was 0.63, the MAE was 15 g/animal/d (17% from Q(FNACT)), and the RMSE was 20 g/animal/d (22% from Q(FNACT)). We predicted that the total N excretion of dairy cows in Indonesia was on average 197 g/animal/d, whereas P excretion was on average 56 g/animal/d. CONCLUSION: The proposed models can be used with reasonable accuracy to predict N and P excretion of dairy cattle on smallholder farms in Indonesia, which can contribute to improving manure management and reduce environmental issues related to nutrient losses. Asian-Australasian Association of Animal Production Societies (AAAP) and Korean Society of Animal Science and Technology (KSAST) 2020-12 2020-05-12 /pmc/articles/PMC7649398/ /pubmed/32777889 http://dx.doi.org/10.5713/ajas.20.0089 Text en Copyright © 2020 by Asian-Australasian Journal of Animal Sciences This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Al Zahra, Windi
van Middelaar, Corina E.
de Boer, Imke J.M
Oosting, Simon J.
Predicting nutrient excretion from dairy cows on smallholder farms in Indonesia using readily available farm data
title Predicting nutrient excretion from dairy cows on smallholder farms in Indonesia using readily available farm data
title_full Predicting nutrient excretion from dairy cows on smallholder farms in Indonesia using readily available farm data
title_fullStr Predicting nutrient excretion from dairy cows on smallholder farms in Indonesia using readily available farm data
title_full_unstemmed Predicting nutrient excretion from dairy cows on smallholder farms in Indonesia using readily available farm data
title_short Predicting nutrient excretion from dairy cows on smallholder farms in Indonesia using readily available farm data
title_sort predicting nutrient excretion from dairy cows on smallholder farms in indonesia using readily available farm data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7649398/
https://www.ncbi.nlm.nih.gov/pubmed/32777889
http://dx.doi.org/10.5713/ajas.20.0089
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