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8 articles found for keyword search: +rice +variety Page 1 of 1
  • The Role of Gender, Risk, and Time Preferences in Farmers' Rice Variety Selection in Eastern India

    Mamta Mehar, Takashi Yamano, and Architesh Panda
    Using data from 5,601 rice farmers in Eastern India, this study examined the role of gender, risk, and time preferences in farmers' rice variety selection in Eastern India. The determinants of the following were estimated: farmers' rice variety selection according to variety type (i.e.,...
    Volume 14 Issue No. 1 (June 2017)
  • Sustaining Rice Productivity, Soil Fertility, and Income from Prawn-Rice Joint Culture in the Gher System in Bangladesh

    Basanta Kumar Barmon and Sanzidur Rahman
    This paper examines the long-term impacts of joint prawn-rice gher farming system on agricultural and household incomes, soil fertility, and productivity of modern variety (MV) rice in southwestern Bangladesh based on socioeconomic data of the gher farmers and soil fertility data of their gher...
    Volume 17 Issue No. 2 (December 2020)
  • Heterogeneous Climatic Impacts on Agricultural Production: Evidence from Rice Yield in Assam, India

    Hiranya K. Nath and Raju Mandal
    Understanding the nature and extent of climatic impacts on agricultural productivity under a variety of scenarios is extremely important for developing countries, where a sizable portion of the population relies on agriculture for life and livelihood. Thus, this paper presents evidence of...
    Volume 15 Issue No. 1 (June 2018)
  • Expert Elicitation for Assessing Agricultural Technology Adoption: The Case of Improved Rice Varieties in South Asian Countries

    Takuji W. Tsusaka, Ma. Lourdes Velasco, Takashi Yamano, and Sushil Pandey
    Cultivar-specific adoption information is imperative for agricultural research organizations to make strategic research plans for crop-genetic development. However, such data are often unavailable in developing countries or obsolete and unreliable even when they exist. A budget-friendly and reliable...
    Volume 12 Issue No. 1 (June 2015)
  • Measuring the Efficiency of Rice Production in Myanmar Using Data Envelopment Analysis

    Thuzar Linn and Broos Maenhout
    Rice production in Myanmar is constrained by biophysical and socioeconomic factors. Nonetheless, efficient farm practices can enhance productivity, farmers’ profit, and the price and quality of marketed rice. This study analyzed the profitability and efficiency of rice production in the...
    Volume 16 Issue No. 2 (December 2019)
  • Climate-Smart Villages in Southeast Asia: The Pivotal Role of Seed Systems in Rice-Based Landscapes

    Reiner Wassmann, Julian Gonsalves, Peter Sprang, Bui Tan Yen, Jerome Villanueva, Phalida Nelakhom, and Bernard Okumu
    Given the aggravating nature of climate change impacts, rice farming will increasingly rely on improved resilience to climate variability and extremes. To this end, the climate-smart village (CSV) approach was developed to address specific challenges of smallholder farmers. Within...
    Volume 19 Issue No. 1 (June 2022)
  • Coping with Climatic Stress in Eastern India: Farmer Adoption of Stress-Tolerant Rice Varieties

    Mamta Mehar, Surendaran Padmaja Subash, and Narayan Prasad
    Cultivating stress-tolerant rice varieties (STRVs) is widely cited as a strategy of rice farmers to cope with climate-induced stresses. In India, dissemination of STRVs started in 2008 through international development initiatives, but only 5 percent of farmers have adopted it after...
    Volume 19 Issue No. 1 (June 2022)
  • Determinants of Adaptation for Slow-Onset Hazards: The Case of Rice-Farming Households Affected by Seawater Intrusion in Northern Mindanao, Philippines

    Catherine Roween C. Almaden, Agnes C. Rola, Rowena DT. Baconguis, Juan M. Pulhin, Jose V. Camacho, Jr., and Rico C. Ancog
    This study aimed to address the knowledge gaps on adaptive capacity of rural farming households to slow-onset hazards such as seawater intrusion. It defined household?level variables that can potentially explain adaptive capacity by using a principal component analysis and a regression model. In...
    Volume 16 Issue No. 1 (June 2019)
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