Abstract

Abstract 

Abstract 

This study adopted a content analysis to describe the prominence given to agricultural information in print media using four selected Newspapers.  Specifically, the study determined the space allotted; the number; and prominence given to agricultural information in Nigerian newspapers. Stratified  and purposive sampling procedures were used to select a sample of 384 editions of newspapers for analysis. Data were collected from hard copies of the  selected Newspapers and were analysed using percentages, Kruskal Wallis (H) test and Pearson Product Moment correlation.

The study assessed the determinants of communication channel use among rice value chain actors in Nasarawa and Benue States, Nigeria. A multistage  sampling procedure was used to select six hundred (600) respondents. Data were collected using a semi-structured interview schedule and were  analyzed using a binary logistic regression model with the forced entry method.

The study assessed perceived factors influencing farmers’ preference for rice varieties grown in Enugu State, Nigeria. A structured interview schedule was used to obtain information from 150 rice farmers. Data collected were analysed using frequency counts and percentages. The major rice varieties grown by the farmers were Faro 44 (60.7%), R8 (28.7%) and Mass II (20.7%).

Abstract 

Most of the empirical literature assessing the impacts of climate change on agriculture has modeled crop yields as a function of the levels or deviations in the growing-period rainfall. However, an aspect that has received little attention in the empirical literature relates to the relationship between the timing of monsoon rains and crop yields. Using a pan-India district-level panel dataset for 50 years, this article investigates two interrelated issues critical to understanding the impacts of weather-induced agricultural risks and their management.

Technological change in production processes with gendered division of labor across tasks, such as agriculture, can have a differential impact on women's and men's labor. Using exogenous variation in the extent of loamy soil, which is more amenable to deep tillage than clayey soil and therefore more likely to see adoption of tractor-driven equipment for primary tilling, we show that mechanization led to significantly greater decline in women's than men's labor on Indian farms during 1999–2011. Reduced demand for labor in weeding, a task often undertaken by women, explains our findings.