2 pages, via Online journal, Every morning I wake up like thousands of others wondering if what I am experiencing is just a bad dream. As I move into the day I am acutely aware that it is not a bad dream and that I as a farmer and an activist have a responsibility to make this devastating situation better.
Hennessy, David A. (author), Lindsey, Alexander J. (author), Che, Yuyuan (author), Lindsey, Laura E. (author), Pal Singh, Maninder (author), Feng, Hongli (author), Hawkins, Elizabeth M. (author), Subburayalu, Sakthi (author), Black, Roy (author), Richer, Eric A. (author), and Ochs, Daniel S. (author)
Format:
Journal article
Publication Date:
2022-01-24
Published:
United States: Clemson University Press
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12260
4 pages, Selecting optimal corn and soybean seeding rates are difficult decisions to make. A survey of Ohio and Michigan farm operators finds that, although generally keen to learn from others, they tend to emphasize their own experience over outside information sources. Soybean growers declare university and extension recommendations as more important than do corn growers. In response to direct queries and in free comments, growers place more emphasis on understanding the agronomic and technological problems at hand than on adjusting to the market environment. Given the decision environment, we argue that these responses are reasonable.
An analysis of secondary data from the National Panel Survey in Tanzania revealed physical, socioeconomic, and institutional factors influencing the adoption of soil conservation technologies among small-scale maize farmers. Findings revealed, for example, only 13.9 percent of those had adopted soil conservation technology. This was cited as small, compared with other countries.
8 pages., This study ascertained factors influencing adoption of improved maize seed varieties in three local government areas of Kaduna State, North-central Nigeria. It collected cross-sectional data for a sample of 180 randomly selected farming households across three local government areas of the State in 2015/16. Both descriptive and inferential analyses were performed on the data. The descriptive statistics differentiated adopters from non-adopters, while the inferential analysis involved estimation of a logit model to determine factors driving adoption of improved maize seed varieties in the study areas. The results of the descriptive analysis show significant mean differences between adopters and non-adopters regarding several farm households’ characteristics. The model results reveal that adoption of improved maize seed varieties among the households was positively influenced by age, household size, level of education, farming experience, labour availability, contacts with extension agents, farm size, off-farm income and membership of associations. Thus, the study concluded that improving farmers’ education, expanding coverage and depth of extension services and strengthening farmer associations are useful policy actions for promoting adoption of improved maize varieties. It is also important to address availability, accessibility and affordability issues constraining adoption, enhance credit access and mitigate risk perceptions. The link between researchers and innovators and the farmers who are the off-takers of their outputs should be reinforced to increase maize productivity in order to satisfy national demand and promote food security.
February 5 issue via online. 3 pages., Describes the addition as a way for editors and advertisers to connect with corn and soybean growers, in particular, during the growing season.
