M
Mywish K. Maredia
Researcher at Michigan State University
Publications - 111
Citations - 1781
Mywish K. Maredia is an academic researcher from Michigan State University. The author has contributed to research in topics: Agriculture & Food security. The author has an hindex of 21, co-authored 103 publications receiving 1526 citations. Previous affiliations of Mywish K. Maredia include Australian National University.
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Green Revolution research saved an estimated 18 to 27 million hectares from being brought into agricultural production
TL;DR: The results generally support the Borlaug hypothesis that increases in cereal yields as a result of widespread adoption of improved crop germplasm have saved natural ecosystems from being converted to agriculture.
Posted ContentDOI
Global and Regional Trends in Production, Trade and Consumption of Food Legume Crops
TL;DR: In this article, the authors provide a global and regional trend analysis and sheds light on the pulse crop production, price, trade and consumption patterns observed in the developing world, developed countries and globally from mid-1990s to 2008.
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Impacts of food crop improvement research: evidence from sub-Saharan Africa.
TL;DR: In this paper, the authors reviewed and summarized evidences of impacts of crop improvement research of major food crops in Africa, indicating that agricultural research in Africa has had productivity increasing impacts on its agriculture, but research impacts vary considerably across countries and regions within a country as a result of agroclimatic factors and policy environment.
Posted Content
Improving the proof: evolution of and emerging trends in impact assessment methods and approaches in agricultural development.
TL;DR: In this article, the authors propose a method to solve the problem of "uniformity" and "uncertainty" in the context of health care, and propose a solution.
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Tracking crop varieties using genotyping-by-sequencing markers: a case study using cassava (Manihot esculenta Crantz).
Ismail Y. Rabbi,Peter Kulakow,Joseph Manu-Aduening,Ansong A. Dankyi,James Y. Asibuo,Elizabeth Parkes,Tahirou Abdoulaye,Gezahegn Girma,Melaku Gedil,Punna Ramu,Byron Reyes,Mywish K. Maredia +11 more
TL;DR: It is shown that genome-wide SNP markers from increasingly affordable GBS methods coupled with complementary cluster analysis is a powerful tool for fine-scale population structure analysis and variety identification.