Model-predicted ammonia emission from two broiler houses with different rearing systems

Ammonia (NH3) emissions from broiler production can affect human and animal health and may cause acidification and eutrophication of the surrounding environment. This study aimed to estimate ammonia emissions from broiler litter in two systems of forced ventilation, the tunnel ventilation (TV) and t...

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Main Authors: Nilsa Duarte Silva Lima, Rodrigo Garófallo Garcia, Irenilza Alencar Nääs, Fabiana Ribeiro Caldara, Roselaine Ponso
Format: Article
Language:English
Published: Universidade de São Paulo 2015-10-01
Series:Scientia Agricola
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000500393&lng=en&tlng=en
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author Nilsa Duarte Silva Lima
Rodrigo Garófallo Garcia
Irenilza Alencar Nääs
Fabiana Ribeiro Caldara
Roselaine Ponso
author_facet Nilsa Duarte Silva Lima
Rodrigo Garófallo Garcia
Irenilza Alencar Nääs
Fabiana Ribeiro Caldara
Roselaine Ponso
author_sort Nilsa Duarte Silva Lima
collection DOAJ
description Ammonia (NH3) emissions from broiler production can affect human and animal health and may cause acidification and eutrophication of the surrounding environment. This study aimed to estimate ammonia emissions from broiler litter in two systems of forced ventilation, the tunnel ventilation (TV) and the dark house (DH). The experiment was carried out on eight commercial broiler houses, and the age of the birds (day, d), pH and litter temperature were recorded. Broilers were reared on built-up wood shaving litter using an average flock density of 14 bird m–2. Temperature and relative humidity inside the broiler houses were recorded in the morning during the grow-out period. A factorial experimental design was adopted, with two types of houses, four replicates and two flocks with two replicates each. A deterministic model was used to predict ammonia emissions using the litter pH and temperature, and the day of grow-out. The highest litter temperature and pH were found at 42 d of growth in both housing systems. Mean ambient air temperature and relative humidity did not differ in either system. Mean model predicted ammonia emission was higher in the DH rearing system (5200 mg NH3 m−2h−1 at 42 d) than in the TV system (2700 mg NH3m−2 h−1 at 42 d). TV presented the lowest mean litter temperature and pH at 42 d of growth. In the last week of the broilers’ grow-out cycle, estimated ammonia emissions inside DH reached 5700 mg m−2h−1 in one of the flocks. Ammonia emissions were higher inside DH, and they did not differ between flocks. Assuming a broiler market weight in Brazil of close to 2 kg, ammonia emissions were equivalent to 12 g NH3 bird-marketed−1. Model-predicted ammonia emissions provided comprehensible estimations and might be used in abatement strategies for NH3 emission.
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spelling doaj.art-67e173e501e4452796886344a10fbffc2022-12-22T03:21:02ZengUniversidade de São PauloScientia Agricola1678-992X2015-10-0172539339910.1590/0103-9016-2014-0217S0103-90162015000500393Model-predicted ammonia emission from two broiler houses with different rearing systemsNilsa Duarte Silva LimaRodrigo Garófallo GarciaIrenilza Alencar NääsFabiana Ribeiro CaldaraRoselaine PonsoAmmonia (NH3) emissions from broiler production can affect human and animal health and may cause acidification and eutrophication of the surrounding environment. This study aimed to estimate ammonia emissions from broiler litter in two systems of forced ventilation, the tunnel ventilation (TV) and the dark house (DH). The experiment was carried out on eight commercial broiler houses, and the age of the birds (day, d), pH and litter temperature were recorded. Broilers were reared on built-up wood shaving litter using an average flock density of 14 bird m–2. Temperature and relative humidity inside the broiler houses were recorded in the morning during the grow-out period. A factorial experimental design was adopted, with two types of houses, four replicates and two flocks with two replicates each. A deterministic model was used to predict ammonia emissions using the litter pH and temperature, and the day of grow-out. The highest litter temperature and pH were found at 42 d of growth in both housing systems. Mean ambient air temperature and relative humidity did not differ in either system. Mean model predicted ammonia emission was higher in the DH rearing system (5200 mg NH3 m−2h−1 at 42 d) than in the TV system (2700 mg NH3m−2 h−1 at 42 d). TV presented the lowest mean litter temperature and pH at 42 d of growth. In the last week of the broilers’ grow-out cycle, estimated ammonia emissions inside DH reached 5700 mg m−2h−1 in one of the flocks. Ammonia emissions were higher inside DH, and they did not differ between flocks. Assuming a broiler market weight in Brazil of close to 2 kg, ammonia emissions were equivalent to 12 g NH3 bird-marketed−1. Model-predicted ammonia emissions provided comprehensible estimations and might be used in abatement strategies for NH3 emission.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000500393&lng=en&tlng=ennoxious gasesenvironmental impactdark housepoultrytunnel ventilation
spellingShingle Nilsa Duarte Silva Lima
Rodrigo Garófallo Garcia
Irenilza Alencar Nääs
Fabiana Ribeiro Caldara
Roselaine Ponso
Model-predicted ammonia emission from two broiler houses with different rearing systems
Scientia Agricola
noxious gases
environmental impact
dark house
poultry
tunnel ventilation
title Model-predicted ammonia emission from two broiler houses with different rearing systems
title_full Model-predicted ammonia emission from two broiler houses with different rearing systems
title_fullStr Model-predicted ammonia emission from two broiler houses with different rearing systems
title_full_unstemmed Model-predicted ammonia emission from two broiler houses with different rearing systems
title_short Model-predicted ammonia emission from two broiler houses with different rearing systems
title_sort model predicted ammonia emission from two broiler houses with different rearing systems
topic noxious gases
environmental impact
dark house
poultry
tunnel ventilation
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000500393&lng=en&tlng=en
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AT fabianaribeirocaldara modelpredictedammoniaemissionfromtwobroilerhouseswithdifferentrearingsystems
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