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Genealogical information for maize pre-breeding materials in the Seeds of Discovery-MasAgro Biodiversidad project: 2013-2015
Terence Molnar (2015)
This dataset contains pedigree information for the maize breeding materials generated through the Seeds of Discovery-Ma sAgro Biodiversidad project from 2013 through 2015. These tropical, subtropical and highland materials are being developed to introduce novel alleles for tar spot resistance, drought tolerance, and high-anthocyanin content into elite maize lines.
Number of potential infections of wheat blast during heading stage in Asia
Carlo Montes (2022)
Dataset of total number of potential infections of wheat blast during the heading stage in Asia for the period 1981 though 2019 calculated using a generic infection model and hourly weather data from ERA5 reanalysis
Crop types of the Yaqui Valley during the 2016-17 winter growing season
Urs Schulthess Iván Ortíz-Monasterios (2021)
Our study region is located in the northwest of Mexico, in the Yaqui Valley, where most farmers predominantly grow crops under irrigated conditions during the winter months. Sowing typically starts in late October. Dry bean is one of the first crops to be sown (Table 1). Wheat, the dominant crop, is usually sown between mid-November and mid-December, however, some fields are sown as late as early January. Among the other eight crops that will be referred to as minority crops in this study, maize and chickpea were the most important ones. The last crop to be sown during the winter months is safflower. It is typically sown in March or April, after field pea or fallow. Sen2-Agri allows for the identification of only one crop per field and season, we therefore did not include it in the study. The Yaqui Valley also is an important producer of various types of vegetables. Their production is quite dynamic. The growth cycle of vegetables tends to be quite short and often, they do not have a distinct seasonality. Broccoli and different types of tomatoes are the most important ones. We also included some permanent crops such as asparagus, alfalfa and pasture (grassland), as well as tree fruit and nuts, categorized as orchard. Alfalfa and pasture were categorized as forage crop. The planners of the Yaqui Valley irrigation scheme had divided the land into blocks, measuring 2 by 2 km. The blocks were then further subdivided into 40 lots, each measuring 10 ha. The blocks and lots were numbered consecutively. At the beginning of the winter growing season, the irrigation district, called Distrito del Riego del Rio Yaqui, requires each farmer to declare the type of crop they plan to grow on each irrigated lot. The irrigation district kindly shared those data with us. Most farmers do not follow the initial lot boundaries anymore. Some lots got split up, whereas in the majority of cases, lots were merged. If farmers had merged several lots, they would use the number of their first lot as an anchor and also report the area of the entire field, i.e., the merged lots, that was planted with the same crop. This then allowed us to visually match the reported data with the crop fields. Based on the farmer's declarations, which include the crop type, block, lot and field size, the crop types were then assigned to the field boundaries which had been manually drawn beforehand, using a Sentinel-2 image from March 13, 2017 as a background. This resulted in 6048 labeled fields. The average area of a field was 11.5 ha.
Supplemental data for deciphering resistance to Zymoseptoria tritici in the Tunisian durum wheat landrace accession ‘Agili39’
Karim Ammar Susanne Dreisigacker (2021)
Two major and two minor QTL for seedling and adult-plant resistance to Septoria tritici blotch (STB), caused by the fungus Zymoseptoria tritici (Z. tritici) were mapped. The two mayor QTL were located on chromosome 2B, the two minor QTL on chromosomes 1A and 7A, respectively and derived from the Tunisian durum wheat landrace accession ‘Agili39’. QTL were mapped in a recombinant inbred population, phenotyped for STB resistance using a wide array of isolates and genotyped using the high density DArTSeq platform.
Replication Data for: Genome-based genotype × environment prediction enhances potato (Solanum tuberosum L.) improvement using pseudo-diploid and polysomic tetraploid modeling
Rodomiro Ortiz Jose Crossa Paulino Pérez-Rodríguez Jaime Cuevas (2021)
Potato breeding efficiency can be improved by increasing the reliability of selection and identifying promising germplasm for crossing. The data provided in these datasets were used to compare the prediction accuracy of genomic-estimated breeding values for several potato (Solanum tuberosum L.) breeding clones and released cultivars evaluated in three locations in northern and southern Sweden. The analysis included several traits such as tuber starch percentage and total tuber weight. Results of the analyses are reported in an accompanying journal article.
Consumer study on acceptance of instant fortified millet with the Food Processing Lab (FPL) in Dakar, Senegal
Hugo De Groote Bernard Munyua John Taylor Mario Ferruzzi Cheikh Ndiaye Isiguzoro Onyeoziri Bruce Hamaker (2022)
For this study, 296 consumers from Dakar, Senegal, were invited to evaluated five pearl millet flours: (a) conventional, compared to four instant-porridge flour products; (b) sifted; (c) wholegrain; (d) sifted with premix; (e) wholegrain with micronutrient premix and food-to-food fortified (FtFF). Consumers' acceptance was measured with affective tests, and their willingness-to-pay (WTP) for the products was elicited through experimental auctions under two treatments: firstly without information, then with information.
11th Stress Adapted Trait Yield Nurseries
Matthew Paul Reynolds Carolina Saint Pierre (2022)
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.
GBS genotypic data for a JAAS spring wheat panel
Xinyao He Pawan Singh (2022)
GBS genotypic data for a panel of 265 spring wheat lines from JAAS-China, CIMMYT and other countries.
22nd Karnal Bunt Screening Nursery
Ravi Singh Thomas Payne (2022)
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.
52nd International Durum Screening Nursery
Karim Ammar Thomas Payne (2021)
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.