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Hugo De Groote Violet Mugalavai Mario Ferruzzi Augustino Onkware emmanuel ayua Kwaku Duodu Michael Ndegwa Bruce Hamaker (2022, [Dataset])
In this study 220 urban consumers of Eldoret were asked i) about socioeconomic characteristics and nutritional knowledge, ii) evaluate five flours with two preparations using affective tests, iii) to provide willingness-to-pay for the five flours using with experimental auctions. The data contain a set for each of the three objectives. The first data set contains ID number and socioeconomic information of the participants, with one line per person (N = 220). The second data set contains the results of the affective tests. Five flours were used in the affected test: sifted conventional maize flour, sifted mixed (maize and sorghum flour) conventional flour, instant sifted mixed flour, instant whole mixed flour, and instant sifted mixed flour with food-to-food fortification. From each of the flours, two products were prepared: ugali (stiff porridge) or uji (liquid porridge). All participants were asked to evaluate the 5 x 2 = 10 preparations on five traits: appearance, texture in hand, aroma, texture in mouth, taste, and overall. The results are presented in one line per participant per product (220 x 5 = 1100 lines), with the results for ugali and uji in different columns. The third data set contains the WTP, elicited through an experimental auction using BDM, for the five flours. Participants were split into three information treatments: A1: WTP without information, A2: repeat WTP now with information, B: information from the start, each with 110 participants, so in total 3 treatments x 110 x 5 products = 1650 observations.
Replication Data for: Multi-trait genome prediction of new environments with partial least squares
Osval Antonio Montesinos-Lopez Brandon Alejandro Mosqueda González Marco Alberto Valenzo-Jimenez Jose Crossa (2022, [Dataset])
The genomic selection (GS) methodology has revolutionized plant breeding. This methodology makes predictions for genotyped candidate lines based on statistical machine learning algorithms that are trained with phenotypic and genotypic data of a reference population. GS can save significant resources in the selection of candidate individuals. However, plant breeders can face challenges when trying to implement it practically to make predictions for future seasons or new locations and/or environments. To help address this challenge, this study seeks to explore the use of the multi-trait partial least square (MT-PLS) regression methodology and to compare its performance with the Bayesian Multi-trait Genomic Best Linear Unbiased Predictor (MT-GBLUP) method. A benchmarking process was performed with five actual data sets contained in this study. The results of the analysis are reported in the accompanying article.
39th Semi-Arid Wheat Screening Nursery
Ravi Singh Carolina Saint Pierre (2022, [Dataset])
The Semi-Arid Wheat Screening Nursery (SAWSN) is a single replicate trial that contains diverse spring bread wheat (Triticum aestivum) germplasm adapted to low rainfall, drought prone, semi-arid environments typically receiving less than 500 mm of water available during the cropping cycle. CIMMYT's breeding approach attempts to combine high yield potential with drought resistance for ME4. The combination of water-use efficiency and water responsive traits plus yield potential is important in drought environments where rainfall is frequently erratic across years. When rains are significantly above average in certain years, the crop must respond appropriately (water responsive) with higher yields, while expressing resistance to the wider suite of diseases that appear under more favorable conditions. Constrains including leaf, stem and yellow rusts, and Septoria spp., Fusarium spp., Pyrenophora tritici-repentis tan spot, nematodes and root rots must be considered. It is distributed to 120 locations, and contains 150-250 entries.
11th Stress Adapted Trait Yield Nurseries
Matthew Paul Reynolds Carolina Saint Pierre (2022, [Dataset])
Within the framework of SATYN, two types of nurseries are produced: SATYN series with odd numbers are lines for drought-stressed areas, and SATYN series with even numbers are lines for heat stress conditions. These nurseries 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.
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.
53rd International Durum Yield Nursery
Karim Ammar Carolina Saint Pierre (2022, [Dataset])
International Durum Yield Nurseries (IDYN) 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.
16th Stem Rust Resistance Screening Nursery
Ravi Singh Carolina Saint Pierre (2023, [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.
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.
2022 CIMMYT Maize Eastern Africa Product Profile 1A (PP1A) Product Announcement
Berhanu Tadesse Ertiro Yoseph Beyene Suresh L.M. Manje Gowda Anani Bruce Vijay Chaikam Walter Chivasa Mosisa Worku Regasa Michael Olsen Aparna Das Nicholas J. Davis Prasanna Boddupalli (2022, [Dataset])
New and improved maize hybrids, developed by the CIMMYT Global Maize Program, are available for uptake by public and private sector partners, especially those interested in marketing or disseminating hybrid maize seed across Eastern Africa and similar agro-ecologies in other regions. Each year, CIMMYT’s Global Maize Program conducts regional on-station and on-farm hybrid maize trials through a network of NARS and private seed companies in eastern and southern Africa under various management and environmental conditions. Promising maize hybrids developed by the CIMMYT-Africa team, along with relevant checks from private seed companies and National Agricultural Research Programs, are included in these trials. Phenotypic data collected in Stage 4 and Stage 5 trials for the selected hybrids from Product Profile 1A (PP1A) as well as information about the trial sites and management and environmental conditions are provided in this dataset.
51th International Durum Screening Nursery
Karim Ammar Thomas Payne (2020, [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.