Farm typology of smallholders integrated farming systems in Southern Coastal Plains of Kerala, India.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
10 01 2022
Historique:
received: 12 07 2021
accepted: 16 12 2021
entrez: 11 1 2022
pubmed: 12 1 2022
medline: 12 1 2022
Statut: epublish

Résumé

Adoption of an integrated farming system (IFS) is essential to achieve food and nutritional security in small and marginal holdings. Assessment of IFS to know the resource availability and socio-economic condition of the farm household, farm typology plays a critical role. In this regard, a sample survey of 200 marginal households practicing mixed crop-livestock agriculture was conducted during 2018-2019 at Southern Coastal Plains, which occupies 19,344 ha in Thiruvananthapuram district, Kerala, India. Farming system typology using multivariate statistical techniques of principal component analysis and cluster analysis characterized the diverse farm households coexisting within distinct homogenous farm types. Farming system typology identified four distinct farm types viz. resource constrained type-1 households with small land owned, high abundance of poultry, very low on-farm income, constituted 46.5%; resource endowed type-2 households oriented around fruit and vegetable, plantation crop, with a moderate abundance of large ruminant and poultry, high on-farm income, constituted 12.5%; resource endowed type-3 household oriented around food grain, extensive use of farm machinery, with a moderate abundance of large ruminant, low on-farm income, constituted 21.5%; and resource endowed type-4 household oriented around fodder, with high abundance of large ruminant, medium on-farm income, constituted 19.5% of sampled households. Constraint analysis using constraint severity index assessed the severity of constraints in food grain, horticulture, livestock, complementary and supplementary enterprises in each farm type, which allowed targeted farming systems interventions to be envisaged to overcome soil health problems, crops and animal production constraints. Farming system typology together with constraint analysis are therefore suggested as a practical framework capable of identifying type-specific farm households for targeted farming systems interventions.

Identifiants

pubmed: 35013415
doi: 10.1038/s41598-021-04148-0
pii: 10.1038/s41598-021-04148-0
pmc: PMC8748888
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

333

Informations de copyright

© 2022. The Author(s).

Références

Environ Manage. 2011 Aug;48(2):351-64
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pubmed: 29763422
Sci Rep. 2019 Dec 30;9(1):20375
pubmed: 31889158
Sci Rep. 2021 Oct 25;11(1):20978
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Auteurs

Anitrosa Innazent (A)

Department of Agronomy, College of Agriculture, Kerala Agricultural University, Vellayani, Thiruvananthapuram, Kerala, 695 522, India. anitrosa@gmail.com.

D Jacob (D)

On-Farm Research Centre, College of Agriculture, Kerala Agricultural University, Vellayani, Thiruvananthapuram, Kerala, 695 522, India.

J S Bindhu (JS)

On-Farm Research Centre, College of Agriculture, Kerala Agricultural University, Vellayani, Thiruvananthapuram, Kerala, 695 522, India.

Brigit Joseph (B)

Department of Agricultural Statistics, College of Agriculture, Kerala Agricultural University, Vellayani, Thiruvananthapuram, Kerala, 695 522, India.

K N Anith (KN)

Department of Agricultural Microbiology, College of Agriculture, Kerala Agricultural University, Vellayani, Thiruvananthapuram, Kerala, 695 522, India.

N Ravisankar (N)

ICAR-Indian Institute of Farming System Research, Modipuram, Meerut, 250 110, India.

A K Prusty (AK)

ICAR-Indian Institute of Farming System Research, Modipuram, Meerut, 250 110, India.

Venkatesh Paramesh (V)

ICAR-Central Coastal Agricultural Research Institute, Old Goa, Goa, 403 402, India. parameshagron@gmail.com.

A S Panwar (AS)

ICAR-Indian Institute of Farming System Research, Modipuram, Meerut, 250 110, India.

Classifications MeSH