48th International Bread Wheat Screening Nursery

Ravi Singh Thomas Payne (2018, [Dataset])

The International Bread Wheat Screening Nursery (IBWSN) is designed to rapidly assess a large number of advanced generation (F3-F7) lines of spring bread wheat under Mega-environment 1 (ME1) which represents diversity for a wide range of latitudes, climates, daylengths, fertility conditions, water management, and (most importantly) disease conditions. The distribution of these nurseries is deliberately biased toward the major spring wheat regions of the world where the diseases of wheat are of high incidence. It is distributed to 180 locations and contains 300-450 entries.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

45th International Durum Yield Nursery

Karim Ammar Thomas Payne (2017, [Dataset])

International Durum Yield Nurseries are replicated yield trials designed to measure the yield potential and adaptation of superior CIMMYT-bred spring durum wheat germplasm that have been developed from tests conducted under irrigation and induced stressed cropping conditions in northwest Mexico. These materials have been subjected to numerous diseases (leaf, stem and yellow rust; Septoria tritici blotch) and varied growing environments. It is distributed to 70 locations, and contains 50 entries.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

45th International Durum Screening Nursery

Karim Ammar Thomas Payne (2017, [Dataset])

International Durum Screening Nursery (IDSN) distributes diverse CIMMYT-bred spring durum wheat germplasm adapted to irrigated and variable moisture stressed environments. Disease resistance and high industrial pasta quality are essential traits possessed in this germplasm. It is distributed to 100 locations, and contains 150 entries.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

TAMASA Ethiopia. Yield, soil and agronomy data from 70 farmers’ maize fields in Bako, Ethiopia, 2015 season.

MESFIN KEBEDE DESTA (2017, [Dataset])

Agronomy and yield survey of approximately 70 maize fields in one 10 x 10km2 area in Bako in 2015 conducted by EIAR and CIMMYT. Replicated crop cuts of 16m2 in farmers fields along with addition data on agronomy, household characteristics, fertilizer use, variety, and soil analysis.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Pathways to sustainable intensification in Eastern and Southern Africa - Ethiopia 2013

Paswel Marenya Menale Kassie Fulgence Mishili Gideon Obare (2016, [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 several 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.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Pathways to sustainable intensification in Eastern and Southern Africa - Kenya 2013

Paswel Marenya Menale Kassie Fulgence Mishili Gideon Obare (2016, [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 several 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.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Replication Data for: Genome-based prediction of multiple wheat quality traits in multiple years

Maria Itria Ibba Jose Crossa Osval Antonio Montesinos-Lopez Philomin Juliana Carlos Guzman Susanne Dreisigacker Jesse Poland (2020, [Dataset])

The use of genomic prediction could greatly help to increase the efficiency of selecting for wheat quality traits by reducing the cost and time required for this analysis. This study contains data used to evaluate the prediction performances of 13 wheat quality traits under two multi-trait models [Bayesian multi-trait multi-environment (BMTME) and multi-trait ridge regression (MTR)]. Separate files are provided for each year of data. An additional supplemental data file provides R code for running the analyses as well as a table describing the Average Pearson´s correlation (APC) and mean arctangent absolute percentage error (MAAPE) for the testing sets for each dataset and trait.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Pathways to sustainable intensification in Eastern and Southern Africa - Tanzania 2010

Paswel Marenya Menale Kassie Fulgence Mishili (2016, [Dataset])

The survey targeted two maize-legume based farming systems in the eastern and northern zones of Tanzania. In the eastern zone the survey target two districts; Kilosa and Mvomero. While in the northern zone the study focused on Mbulu and Karatu districts. A combination of purposive and stratified sampling methods were used to select the four districts (Karatu, Mbulu, Mvomero and Kilosa) included in this survey. As the project focus is on maize based farming system, maize production used as an important criterion to select districts, wards and villages. A total of 39 wards were sampled. A multi-stage random sampling procedure was used to arrive at a total sample of 65 villages. In each district, wards selected with probability to proportional size. The number of villages selected with probability to proportional size was 60. In every selected village, probability to proportional size sampling was used to identify the households that were interviewed. A total of 701 households were interviewed.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

41st International Durum Yield Nursery

Karim Ammar Thomas Payne (2017, [Dataset])

International Durum Yield Nurseries are replicated yield trials designed to measure the yield potential and adaptation of superior CIMMYT-bred spring durum wheat germplasm that have been developed from tests conducted under irrigation and induced stressed cropping conditions in northwest Mexico. These materials have been subjected to numerous diseases (leaf, stem and yellow rust; Septoria tritici blotch) and varied growing environments. It is distributed to 70 locations, and contains 50 entries.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

48th International Bread Wheat Screening Nursery MAS data

Susanne Dreisigacker (2017, [Dataset])

The International Bread Wheat Screening Nursery (IBWSN) is designed to rapidly assess a large number of advanced generation (F3-F7) lines of spring bread wheat under Mega-environment 1 (ME1) which represents diversity for a wide range of latitudes, climates, daylengths, fertility conditions, water management, and (most importantly) disease conditions. The distribution of these nurseries is deliberately biased toward the major spring wheat regions of the world where the diseases of wheat are of high incidence. It is distributed to 180 locations and contains 300-450 entries.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA