GIS-based approach for mapping the density and distribution of crossbred cattle

The current study was carried out to map the crossbred cattle density and distribution in the Thondamuthur block of Coimbatore district in Tamil Nadu. A house to house survey was carried out and information about the number of cattle per farm or household, breed, class, age, etc. were collected. The...

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Main Authors: BOOPATHI GOPALAKRISHNAN, MELKUMARAMANGALAM PALANI SUGUMARAN, KANNAN BALAJI, MARUTHAMUTHU THIRUNAVUKKARASU, VEERASWAMY DAVAMANI
Format: Article
Language:English
Published: Indian Council of Agricultural Research 2021-07-01
Series:Indian Journal of Animal Sciences
Subjects:
Online Access:https://epubs.icar.org.in/index.php/IJAnS/article/view/113273
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author BOOPATHI GOPALAKRISHNAN
MELKUMARAMANGALAM PALANI SUGUMARAN
KANNAN BALAJI
MARUTHAMUTHU THIRUNAVUKKARASU
VEERASWAMY DAVAMANI
author_facet BOOPATHI GOPALAKRISHNAN
MELKUMARAMANGALAM PALANI SUGUMARAN
KANNAN BALAJI
MARUTHAMUTHU THIRUNAVUKKARASU
VEERASWAMY DAVAMANI
author_sort BOOPATHI GOPALAKRISHNAN
collection DOAJ
description The current study was carried out to map the crossbred cattle density and distribution in the Thondamuthur block of Coimbatore district in Tamil Nadu. A house to house survey was carried out and information about the number of cattle per farm or household, breed, class, age, etc. were collected. The coordinates of households and farms with cattle were recorded using a GPS device and the locations were used to generate maps in QGIS software. The classes of crossbred cattle found in the study area were Holstein-Friesian crossbred (CBHF), Jersey crossbred (CBJ) and Mixed (Jersey-HF) class (CBJH). In the adult category, CBHF contributed about 28% of the total crossbred population followed by CBJ (20%) and CBJH (14%). In the calves category, including heifers, CBJ was marginally higher at 16% than CBHF (15%) followed by CBJH (7%). The cattle density and distribution were higher in the settlements and sparse in the farms located away from the settlements and least in the areas situated close to the hills. This information can aid in various policy and decision-making process regarding cattle management.
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spelling doaj.art-a4d4eb63b77e4e1eacfa102e50cd433e2023-02-23T10:16:25ZengIndian Council of Agricultural ResearchIndian Journal of Animal Sciences0367-83182394-33272021-07-0191110.56093/ijans.v91i1.113273GIS-based approach for mapping the density and distribution of crossbred cattleBOOPATHI GOPALAKRISHNAN0MELKUMARAMANGALAM PALANI SUGUMARAN1KANNAN BALAJI2MARUTHAMUTHU THIRUNAVUKKARASU3VEERASWAMY DAVAMANI4Department of Environmental Sciences, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu 641 003 IndiaDepartment of Environmental Sciences, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu 641 003 IndiaDepartment of Environmental Sciences, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu 641 003 IndiaDepartment of Environmental Sciences, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu 641 003 IndiaDepartment of Environmental Sciences, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu 641 003 IndiaThe current study was carried out to map the crossbred cattle density and distribution in the Thondamuthur block of Coimbatore district in Tamil Nadu. A house to house survey was carried out and information about the number of cattle per farm or household, breed, class, age, etc. were collected. The coordinates of households and farms with cattle were recorded using a GPS device and the locations were used to generate maps in QGIS software. The classes of crossbred cattle found in the study area were Holstein-Friesian crossbred (CBHF), Jersey crossbred (CBJ) and Mixed (Jersey-HF) class (CBJH). In the adult category, CBHF contributed about 28% of the total crossbred population followed by CBJ (20%) and CBJH (14%). In the calves category, including heifers, CBJ was marginally higher at 16% than CBHF (15%) followed by CBJH (7%). The cattle density and distribution were higher in the settlements and sparse in the farms located away from the settlements and least in the areas situated close to the hills. This information can aid in various policy and decision-making process regarding cattle management.https://epubs.icar.org.in/index.php/IJAnS/article/view/113273Cattle managementCross-sectional surveyDecision supportGISGPSPolicymaking
spellingShingle BOOPATHI GOPALAKRISHNAN
MELKUMARAMANGALAM PALANI SUGUMARAN
KANNAN BALAJI
MARUTHAMUTHU THIRUNAVUKKARASU
VEERASWAMY DAVAMANI
GIS-based approach for mapping the density and distribution of crossbred cattle
Indian Journal of Animal Sciences
Cattle management
Cross-sectional survey
Decision support
GIS
GPS
Policymaking
title GIS-based approach for mapping the density and distribution of crossbred cattle
title_full GIS-based approach for mapping the density and distribution of crossbred cattle
title_fullStr GIS-based approach for mapping the density and distribution of crossbred cattle
title_full_unstemmed GIS-based approach for mapping the density and distribution of crossbred cattle
title_short GIS-based approach for mapping the density and distribution of crossbred cattle
title_sort gis based approach for mapping the density and distribution of crossbred cattle
topic Cattle management
Cross-sectional survey
Decision support
GIS
GPS
Policymaking
url https://epubs.icar.org.in/index.php/IJAnS/article/view/113273
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