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, describ...

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Main Authors: Windi Al Zahra, Corina E. van Middelaar, Imke J.M de Boer, Simon J. Oosting
Format: Article
Language:English
Published: Asian-Australasian Association of Animal Production Societies 2020-12-01
Series:Asian-Australasian Journal of Animal Sciences
Subjects:
Online Access:http://www.ajas.info/upload/pdf/ajas-20-0089.pdf
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spelling doaj-70bb7e99d991471eb39d76a7335d88152020-11-25T04:05:55ZengAsian-Australasian Association of Animal Production SocietiesAsian-Australasian Journal of Animal Sciences1011-23671976-55172020-12-0133122039204910.5713/ajas.20.008924523Predicting nutrient excretion from dairy cows on smallholder farms in Indonesia using readily available farm dataWindi Al Zahra0Corina E. van Middelaar1Imke J.M de Boer2Simon J. Oosting3 Animal Production Systems Group, Wageningen University & Research, P.O. Box 338, 6700 AH, Wageningen, The Netherlands Animal Production Systems Group, Wageningen University & Research, P.O. Box 338, 6700 AH, Wageningen, The Netherlands Animal Production Systems Group, Wageningen University & Research, P.O. Box 338, 6700 AH, Wageningen, The Netherlands Animal Production Systems Group, Wageningen University & Research, P.O. Box 338, 6700 AH, Wageningen, The NetherlandsObjective 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 (QFN). 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 QFN for the specific case. The model was validated by comparing the predicted quantity of faecal N with the actual quantity of faecal N (QFNACT) 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 R2 was 0.63, the MAE was 15 g/animal/d (17% from QFNACT), and the RMSE was 20 g/animal/d (22% from QFNACT). 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.http://www.ajas.info/upload/pdf/ajas-20-0089.pdfdairy cowsn and p excretionsmallholder dairy farms
collection DOAJ
language English
format Article
sources DOAJ
author Windi Al Zahra
Corina E. van Middelaar
Imke J.M de Boer
Simon J. Oosting
spellingShingle Windi Al Zahra
Corina E. van Middelaar
Imke J.M de Boer
Simon J. Oosting
Predicting nutrient excretion from dairy cows on smallholder farms in Indonesia using readily available farm data
Asian-Australasian Journal of Animal Sciences
dairy cows
n and p excretion
smallholder dairy farms
author_facet Windi Al Zahra
Corina E. van Middelaar
Imke J.M de Boer
Simon J. Oosting
author_sort Windi Al Zahra
title 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_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_sort predicting nutrient excretion from dairy cows on smallholder farms in indonesia using readily available farm data
publisher Asian-Australasian Association of Animal Production Societies
series Asian-Australasian Journal of Animal Sciences
issn 1011-2367
1976-5517
publishDate 2020-12-01
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 (QFN). 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 QFN for the specific case. The model was validated by comparing the predicted quantity of faecal N with the actual quantity of faecal N (QFNACT) 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 R2 was 0.63, the MAE was 15 g/animal/d (17% from QFNACT), and the RMSE was 20 g/animal/d (22% from QFNACT). 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.
topic dairy cows
n and p excretion
smallholder dairy farms
url http://www.ajas.info/upload/pdf/ajas-20-0089.pdf
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