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Evaluation of international Low-ODAP grasspea lines for highlands in El Batán, México (2016)
Ravi Gopal Singh (2022, [Dataset])
Several international varieties of Low-ODAP grass pea were evaluated. Some of the variables measured were Total biomass weight (g), Fresh weigth of the subsample (g), Dry weight of the subsample (g) and Harvest area (m²). The experiment was conducted in El Batán, México.
Genotypic data for the IND298 panel
Xinyao He Pawan Singh arun joshi (2022, [Dataset])
GBS genotypic data for a Indian panel with 298 common wheat accessions.
Evaluation of herbicides for weed control in maize in El Batán, México (2016)
Ravi Gopal Singh (2022, [Dataset])
Effectiveness of 14 herbicides were compared during 2016 in El Batán, México. The trial was set up in rainy cycle of 2016, to evaluate herbicides for developing weed management strategies for maize.
7th Wheat Yield Collaboration Yield Trial
Matthew Paul Reynolds Thomas Payne (2022, [Dataset])
The WYCYT international nurseries are the result of research conducted to raise the yield potential of spring wheat through the strategic crossing of physiological traits related to source and sink potential in wheat. These trials have been phenotyped in the major wheat-growing mega environments through the International Wheat Improvement Network (IWIN) and the Cereal System Initiative for South Asia (CSISA) network, which included a total of 136 environments (site-year combinations) in major spring wheat-growing countries such as Bangladesh, China, Egypt, India, Iran, Mexico, Nepal, and Pakistan.
Hugo De Groote Jill Cairns Michael Olsen (2021, [Dataset])
In sub-Saharan Africa, maize is a staple crop but yields remain sub-optimal. A novel hybrid seed technology offers the opportunity to reduce seed production costs and increase yields. This dataset contains data from on-farm and on-station trials collected in 2017 to 2019 in South Africa, Kenya and Zimbabwe to assess this hybrid seed production technology. The results of the analysis are presented in the accompanying article.
20th Karnal Bunt Screening Nursery
Ravi Singh Thomas Payne (2022, [Dataset])
The Karnal Bunt Screening Nursery is a single replicate nursery that contains diverse spring bread wheat (Triticum aestivum) germplasm adapted to ME1 (Optimally irrigated, low rainfall environment) with total 50-100 entries and white/red grain color.
19th Karnal Bunt Screening Nursery
Ravi Singh Thomas Payne (2020, [Dataset])
The Karnal Bunt Screening Nursery is a single replicate nursery that contains diverse spring bread wheat (Triticum aestivum) germplasm adapted to ME1 (Optimally irrigated, low rainfall environment) with total 50-100 entries and white/red grain color.
6th Stem Rust Resistance Screening Nursery
Ravi Singh Thomas Payne (2020, [Dataset])
The Stem Rust Resistance Screening Nursery is a single replicate nursery that contains diverse spring bread wheat (Triticum aestivum) germplasm adapted to all mega-environments with total 50-100 entries and white/red grain color.
Pathways to sustainable intensification in Eastern and Southern Africa - Kenya 2015
Paswel Marenya Menale Kassie Fulgence Mishili Gideon Obare (2017, [Dataset])
The Adoption Pathways project was part of a portfolio of projects that has contributed to the broader theme of sustainable intensification research led by the International Maize and Wheat Improvement Center (CIMMYT) and made possible by the contribution of sev eral teams from national and international research groups brought together by funding from the Australian Centre for International Agricultural Research (ACIAR). The project was undertaken in the five Eastern and Southern African countries of Ethiopia, Kenya, Malawi, Mozambique and Tanzania. 1. Gender disaggregated three wave panel data set (2010/11, 2013), building on a legacy dataset collected under a related ACIAR funded project (SIMLESA) is now being developed covering close to 3500 households in each data wave across the five project countries. The 2015/16 data will be available in due course. 2. Several empirical evaluations of the gender gaps in technology adoption, food security and market access have been completed and published. 3. These results have been shared in various policy forums including but not limited to annual project meetings. In order to achieve its full impact in the coming years; we propose that new projects and initiatives based on the work of the Adoption Pathways project be established. These should focus on capacity building for the analysis of panel datasets, continued work on studying intrahousehold input allocation and sharing of agricultural output and scaling up the findings from this project to influence next generation of sustainable agriculture policies.
Christian Thierfelder Blessing Mhlanga (2017, [Dataset])
Conservation agriculture (CA) had recently gained popularity and promotion in the southern parts of Africa. Research has shown a number of benefits of CA in contrast to the widely practiced conventional ways (CP), which chiefly include water and soil conservation. These gains have positive benefits towards grain yield in maize. However, the maize varieties that performs better than others in these different environments have to be investigated and updated for farmers and breeding purposes. Furthermore, physiological traits that are suitable for the CA system needs to be dissected for breeding purposes. Hence a study was conducted across Zimbabwe at University of Zimbabwe farm (heavy red clay), Domboshawa Training centre (DTC) (sandy loamy soils), Madziva (sandy soils), Hereford (red clays) and Zimuto (sandy soils) from 2012 up to 2015. Investigations of effects of CA and CP practices on emergence, chlorophyll content, early vigour , biomass and grain yield of different maize varieties using 12 hybrids and 4 open pollinated varieties (OPVs) were conducted. Emergence was collected as the number of days taken by the different varieties to emerge. At 6 weeks after sowing a destructive sampling was performed to quantify the vigor of the maize varieties using averages of height, number of leaves per plant, dry matter and chlorophyll content using a SPAD meter. At harvesting grain yield and biomass yield were calculate d.