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Replication Data for: A comparison between three machine learning methods for multivariate genomic prediction using the Sparse Kernels Methods (SKM) library
No full textGenomic selection (GS) provides a new way for plant breeders select the best genotype. It draws upon historical phenotypic and genotypic information for training a statistical machine learning model which is used for predicting phenotypic (or breeding) values of new lines for which only genotypic information is available. Many statistical machine learning methods have been proposed for this task, but multi-trait (MT) genomic prediction models are preferred because they take advantage of correlated traits to improve the prediction accuracy.
This study contains six datasets that were used to compare the prediction performance of three MT methods: the MT genomic best linear unbiased predictor (GBLUP), the MT partial least square (PLS) and the multi-trait Random Forest (RF). The data come from groundnuts, rice, and wheat. The accompanying article describes the results of the analysis
Fertility Maps of "Region Mexteca, Oaxaca".
No full textSoil sampling with 1x1 km grid in the agricultural area of the Region Mixteca at at 0 to 30 cm depth
Wheat experiment with increasing rates of nitrogen to develop a calibration for the GreenSeeker in Oaxaca
No full textThis experiments were established with different rates of nitrogen in order to generate a wide range of values for NDVI and grain yield in order to develop a calibration model for the GreenSeeker in Oaxaca
Kenya Rural Household Panel Survey - Household and maize data 2010 & 2013
No full textData from two CIMMYT and KALRO household surveys representative of six maize production areas or agroecological zones in Kenya. The surveys were conducted in 2010 and 2013 collected data on farmer demographics, adoption of improved technologies and practices, marketing, access to agricultural information, and farmer adaptation to climate change
Replication Data for: Genetic dissection of quantitative resistance to common rust (Puccinia sorghi) in tropical maize (Zea mays L.) by combined GWAS, linkage mapping, and genomic prediction
No full textSignificant grain yield losses and poor grain quality can be caused by Common rust a major foliar disease in maize. This dataset provides the genotypic and phenotypic data that were used to perform genome-wide association studies (GWAS) and linkage analysis mapping to dissect the architecture of common rust resistance
Durum wheat performance (10 years of data) and grain quality (three years of data) with two tillage and two sowing irrigation practices under five nitrogen fertilizer treatments in northwestern Mexico
No full textThe experiment was initiated in 2008 and concluded in 2018 to evaluate the performance of durum wheat (Triticum durum L.) under conventionally tilled (CTB) and permanent beds (PB) under two sowing irrigation practices and five nitrogen (N) fertilization treatments in northwestern Mexico. It was located at the Norman E. Borlaug Experiment Station (CENEB) near Ciudad Obregón, Sonora, Mexico (lat. 27°22010″N, long. 109°55051″E, 38 masl) and had a randomized complete block design for four environments (ENV) that combined tillage and sowing irrigation practice: CTB with wet and dry sowing and PB with wet and dry sowing. The PB treatments had been under conservation agriculture for over ten years previously to the experiment. Plots were defined by N fertilizer management, with three replicates. Plots were 3 m wide (4 beds of 0.75 m width) and 10 m long, a space of 30 m2. The CTB were tilled after each crop with a disk harrow to 20 cm depth and new beds were formed. The PB were only reshaped every year in the furrow without disturbing the soil on the bed. In wet sowing, 100-120 mm irrigation was applied two-to-three weeks before sowing; in dry sowing, the field was irrigated one or two days after sowing, which provided higher soil moisture content during germination than wet sowing. Four auxiliary irrigations of 80-100 mm were applied to all plots each cycle. The N fertilizer treatments consisted of a control treatment with no N fertilizer and five treatments with different doses and divisions between first and second fertilization applied as urea. The basal N application was done on the same day as the pre-sowing irrigation, applying the fertilizer in the furrow and incorporating it through irrigation. The N application at first node was completed immediately prior to the first auxiliary irrigation. Nitrogen was applied either once (basal) or split between pre-sowing and first node (split).
The data set contains daily weather data for the weather station closest to the experimental site for 2008-2018 (reference evapotranspiration, precipitation, minimum and maximum temperature), yield data (grain yield, biomass yield and straw yield for durum wheat), grain quality data (test weight and thousand kernel weight), and plant physiological data (plant stand, days from flowering to maturity, NDVI) for 2009-2018, grain and straw N data for three years, soil temperature for two years and soil moisture for one year
CIMMYT Eastern Africa 2019 Regional Trial Report
No full textThis dataset contains the results from three regional trials carried out in Eastern Africa in 2019. Each report focuses on a different product profile.
Two reports present data for product profile EA-PP1, It focuses on includes early/intermediate-maturing white maize with multiple stress tolerance (drought, low N, MLN, MSV, TLB, GLS, ear rots) for the Eastern African rainfed mid-altitude dry/wet agro-ecologies.
The third report presents data for product profile EA-PP2. It focuses on late-maturing, white maize varieties with multiple stress tolerance (drought, low N, GLS, TLB, MSV, ear rots, Striga) for the Eastern African rainfed upper mid-altitude region
Water use and grain yield with conservation agriculture and conventional tillage under furrow and drip irrigation for maize and barley in the Mexico Bajío
No full textThe database contains data about water use in barley (Hordeum vulgare) and maize (Zea Mays) production in the Mexican Bajío. Water use and grain yield were evaluated under conventional tillage and under conservation agriculture in permanent raised beds, both under furrow irrigation and under drip irrigation. The data in this study were collected between 2016 and 2021 in CIMMYTs’ Bajío innovation hub in a research platform (a dedicated field experiment) and in innovation modules (side by side comparisons in farmers’ fields). For the platform, de data base contains data of three maize (summer) and three barley (winter) cycles, including water use, grain yield and data on key field operations. For the farmers’ fields, the data base contains the yield and water use data from 23 modules, as well as fuel use and soil health data from a subset of modules
38th Semi-Arid Wheat Screening Nursery
No full textThe 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
12th Harvest Plus Advanced Nursery
No full textThe Harvest Plus Advanced Nursery (HPAN) contains spring bread wheat (Triticum aestivum) germplasm adapted to ME1 (Optimally Irrigated, low rainfall environment) and ME5 (Warmer area environment) environments. It has 100-200 entries with a single replication, white grain color and distributed to more than 35 locations