Abstract
Customers of finfish in China place a high priority on healthy fish at the point of sale but factors that increase the risk of morbidity and mortality during transportation have had limited study. We designed a case study to investigate variation of mortalities claimed by customers receiving fish at markets with above-normal mortalities. We used daily transaction records of the 3 species transported from a company located in Guangdong province to its destination markets in Beijing between April and July 2013: largemouth bass (Micropterus salmoides), Chinese perch (Siniperca chuatsi), and longsnout catfish (Leiocassis longirostris). We quantified magnitudes and patterns of weekly mortalities of transported fish, and used cross-classified random-effect modeling to explore variation and clustering of fish mortality claims at wholesale destinations. Random effects for customer and market-week were interpreted by variance partition coefficients (VPC) and intraclass correlation coefficients (ICC). A significant fixed effect of market was found in the model of mortality claims for longsnout catfish (p < 0.05), and changing patterns of VPC and ICC suggested that customers ordering longsnout catfish had more variation in claims than those ordering the other 2 species. Our findings indicate a need for better customer communication for live fish transportation and a need for detailed measurements during the process including physiological factors and transportation conditions, to better understand their role in reported mortalities.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 150-155 |
| Number of pages | 6 |
| Journal | Aquaculture Reports |
| Volume | 4 |
| DOIs | |
| State | Published - Nov 1 2016 |
| Externally published | Yes |
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Keywords
- China
- Cross-classified model
- Customers
- Fish mortality claims
- Live fish transportation
ASJC Scopus subject areas
- Aquatic Science
- Animal Science and Zoology
Cite this
Analysis of transaction records of live freshwater finfish in China : A case study of customers’ claims of fish mortality using cross-classified modeling. / Jia, Beibei; St-Hilaire, Sophie; Stryhn, Henrik; Yu, Jenny; Groman, David B.; Gardner, Ian.
In: Aquaculture Reports, Vol. 4, 01.11.2016, p. 150-155.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Analysis of transaction records of live freshwater finfish in China
T2 - A case study of customers’ claims of fish mortality using cross-classified modeling
AU - Jia, Beibei
AU - St-Hilaire, Sophie
AU - Stryhn, Henrik
AU - Yu, Jenny
AU - Groman, David B.
AU - Gardner, Ian
PY - 2016/11/1
Y1 - 2016/11/1
N2 - Customers of finfish in China place a high priority on healthy fish at the point of sale but factors that increase the risk of morbidity and mortality during transportation have had limited study. We designed a case study to investigate variation of mortalities claimed by customers receiving fish at markets with above-normal mortalities. We used daily transaction records of the 3 species transported from a company located in Guangdong province to its destination markets in Beijing between April and July 2013: largemouth bass (Micropterus salmoides), Chinese perch (Siniperca chuatsi), and longsnout catfish (Leiocassis longirostris). We quantified magnitudes and patterns of weekly mortalities of transported fish, and used cross-classified random-effect modeling to explore variation and clustering of fish mortality claims at wholesale destinations. Random effects for customer and market-week were interpreted by variance partition coefficients (VPC) and intraclass correlation coefficients (ICC). A significant fixed effect of market was found in the model of mortality claims for longsnout catfish (p < 0.05), and changing patterns of VPC and ICC suggested that customers ordering longsnout catfish had more variation in claims than those ordering the other 2 species. Our findings indicate a need for better customer communication for live fish transportation and a need for detailed measurements during the process including physiological factors and transportation conditions, to better understand their role in reported mortalities.
AB - Customers of finfish in China place a high priority on healthy fish at the point of sale but factors that increase the risk of morbidity and mortality during transportation have had limited study. We designed a case study to investigate variation of mortalities claimed by customers receiving fish at markets with above-normal mortalities. We used daily transaction records of the 3 species transported from a company located in Guangdong province to its destination markets in Beijing between April and July 2013: largemouth bass (Micropterus salmoides), Chinese perch (Siniperca chuatsi), and longsnout catfish (Leiocassis longirostris). We quantified magnitudes and patterns of weekly mortalities of transported fish, and used cross-classified random-effect modeling to explore variation and clustering of fish mortality claims at wholesale destinations. Random effects for customer and market-week were interpreted by variance partition coefficients (VPC) and intraclass correlation coefficients (ICC). A significant fixed effect of market was found in the model of mortality claims for longsnout catfish (p < 0.05), and changing patterns of VPC and ICC suggested that customers ordering longsnout catfish had more variation in claims than those ordering the other 2 species. Our findings indicate a need for better customer communication for live fish transportation and a need for detailed measurements during the process including physiological factors and transportation conditions, to better understand their role in reported mortalities.
KW - China
KW - Cross-classified model
KW - Customers
KW - Fish mortality claims
KW - Live fish transportation
UR - http://www.scopus.com/inward/record.url?scp=84992663768&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84992663768&partnerID=8YFLogxK
U2 - 10.1016/j.aqrep.2016.10.003
DO - 10.1016/j.aqrep.2016.10.003
M3 - Article
AN - SCOPUS:84992663768
VL - 4
SP - 150
EP - 155
JO - Aquaculture Reports
JF - Aquaculture Reports
SN - 2352-5134
ER -