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Searching And Testing Bread Wheat Genotypes For Adaptation In Northern Ethiopia Through Participatory Varietal Selection | 10374
ISSN: 2157-7625

Journal of Ecosystem & Ecography
Open Access

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Searching and testing bread wheat genotypes for adaptation in northern ethiopia through participatory varietal selection

2nd International Conference on Biodiversity & Sustainable Energy Development

Hintsa Gebru, D. S. Virk, Abraha Hailemariam1 and Eyasu Abraha

Accepted Abstracts: J Ecosys Ecograph

DOI: 10.4172/2157-7625.S1.014

Abstract
Wheat is one of the major cereal crops largely grown in the mid and high land areas of the Tigray region, northern Ethiopia. Participatory varietal selection (PVS) in bread wheat was carried out in this region. A search process for the PVS was first done within Ethiopia and the PVS identified HAR-2501 and HAR-1868 as farmer preferred varieties. The second search led to the selection of four bread wheat varieties (HUW-468, HI-1418, DL-788-2 and GW-273) brought from India that matched farmers? criteria. They were tested in PVS by 32 farmers in six locations in 2008 and 2009. Varieties HAR-2501 and HAR-1868 were used as check varieties. A mother-baby trial system was used. All trials were conducted under farmer management. Quantitative data were collected and analyzed using the GLM fixed effects and REML mixed effects models. Differences between varieties for grain yield and biomass were significant with REML but not with GLM, and the REML analysis was more appropriate. Varieties HI-1418 and HUW-468 yielded significantly higher than the two check varieties by 8 to 21% with earlier flowering by 5 to 9 days and earlier maturity by 13 to 16 days. They had significantly shorter reproductive period by 7 to 9 days that imparted them better terminal drought tolerance. They were also superior to checks for matrix ranking, disease score and number of seeds per spike. Compared with check varieties, the two new varieties responded to the favorable environments and also maintained their superiority in the unfavorable environments for grain yield. In general, the results showed that a precise search process increases the success rate of PVS
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