Understanding trait preferences of farmers for post-rainy Sorghum and Pearl Millet in India-a conjoint analysis

A study was carried out on two important dryland crops, i.e., post-rainy season sorghum and pearl millet which are staples in Maharashtra, Kamataka, Rajasthan and Gujarat states of India. Both post-rainy (rabi) season sorghum and pearl millet are mainly grown under low rainfall regimes as they are d...

Full description

Saved in:
Bibliographic Details
Published in:The Indian journal of agricultural economics 2015-01, Vol.70 (1), p.130
Main Authors: Basavara, G, Rao, Parthasarathy, Achoth, Lalith, Lagesh, Pokharkar, V.G, Gupta, S.K, Kumar, Ashok A
Format: Article
Language:English
Subjects:
Accuracy
Agricultural production
CHOICE OF SPECIES
CHOIX DES ESPECES
CONDUITE DE LA CULTURE
Conjoint analysis
CROP MANAGEMENT
Crops
Cultivars
Data collection
Drought
ELECCION DE ESPECIES
Farmers
INDE
INDIA
MANEJO DEL CULTIVO
PENNISETUM GLAUCUM
Preferences
Rain
Researchers
SORGHUM
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A study was carried out on two important dryland crops, i.e., post-rainy season sorghum and pearl millet which are staples in Maharashtra, Kamataka, Rajasthan and Gujarat states of India. Both post-rainy (rabi) season sorghum and pearl millet are mainly grown under low rainfall regimes as they are drought tolerant and are prized for grain quality and fodder. The present study is undertaken to quantify the varietal attributes preferred by the farmers for post-rainy sorghum and pearl millet using conjoint analysis technique. With this knowledge, researchers can focus on the most important features of seeds and design a variety that is most likely to gain acceptance of the target buyers. Further the utility attributes derived from the analysis are used to simulate preferences for new improved cultivars for both the crops that will identify the most preferred variety. The study would thus help in screening new improved cultivars of these crops for preferred attributes and overall preference.
ISSN:0019-5014