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Maize seed businesses in Mexico
No full textThis research examines maize SMEs in Mexico that participated in MasAgro, and their capacity to produce new maize hybrids and commercialize these hybrids in a competitive seed market. For this research, 22 companies located in different regions of Mexico were interviewed. The sample included different sizes of companies to obtain a greater variation in the information collected.
Data were collected onsite from in-depth interviews with enterprise owners and managers and complemented with other primary and secondary sources. The question questionnaire sought insights into strategic alliances with retailers and other maize SMEs, as well as access to external services, both financial and non-fnancial, from commercial providers (banks, consultants), government agencies, NGOs, and others, including MasAgro.
The survey sought insights into absorptive capacity as related to seed production (e.g., launching of new commercial products and sources of cultivars), as well as in marketing and management (e.g. marketing strategies and tactics employed, pricing strategies, market information sources). The survey concluded with interviewees providing their perspectives on critical limitations faced for the production and marketing of hybrid maize seed.
Results highlighted the critical role of MasAgro in reinvigorating the portfolios of seeds produced by maize SMEs, as well as the challenges ahead for maize SMEs to scale the new technologies in a competitive market that has long been dominated by multinational seed enterprises. Among these challenges were limited investment in seed marketing, weak infrastructure for seed production, and limited experience in business management
High-resolution CMIP6 climate projections for Ethiopia
No full textHigh-resolution climate model projections for a range of emission scenarios are needed for designing regional and local adaptation strategies and planning in the context of climate change. To this end, the future climate simulations of global circulation models (GCMs) are the main sources of critical information. However, these simulations are not only coarse in resolution but also associated with biases and high uncertainty. To make the simulations useful for impact modeling at regional and local level, we utilized the bias correction constructed analogues with quantile mapping reordering (BCCAQ) statistical downscaling technique to produce a 10 km spatial resolution climate change projections database based on 16 CMIP6 GCMs under three different emission scenarios (SSP2-4.5, SSP3-7.0, and SSP5-8.5). The downscaling strategy was evaluated using a perfect sibling approach and detailed results are presented by taking two contrasting (the worst and best performing models in the historical evaluation) GCMs as a showcase. The evaluation results demonstrate that the downscaling approach substantially reduced model biases and generated higher resolution daily data compared to the original GCM outputs. These downscaled data can serve as high-quality inputs for impact models, including agro-ecological models. Overall, the results of this study are expected to facilitate climate change impact assessment and model comparison research in Ethiopia
CIMMYT-Asia Maize Regional On-Station (Stage 4) and On-Farm (Stage 5) Trials: Results of the 2020/21, and 2021/22 Seasons and Product Announcement
No full textNew 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 rainfed lowland tropics of South Asia and similar agro-ecological zones. Following a rigorous trialing and a stage-gate advancement process culminating in Stage 5 trials, CIMMYT advanced a total of five new elite maize hybrids in South Asia in 2023. Phenotypic data collected in Stage 4 and Stage 5 trials for the selected hybrids as well as information about the trial sites are provided in this dataset. These trials were conducted through a network of partners, including NARES and private seed companies, in South Asia under various management and environmental conditions. Each hybrid is associated with one of the following product profiles for South Asia: Waterlogging and Drought-Tolerant (SAWLDT), Drought-Tolerant (SADT), or Heat- and Drought -Tolerant (SAHDT)
Supplemental data for Genomic Prediction of Resistance to Tan Spot, Spot Blotch and Septoria Nodorum Blotch on Synthetics Hexaploid Wheat
No full textThis study provides supplemental data to support the study on Genomic Prediction of Resistance to Tan Spot, Spot Blotch and Septoria Nodorum Blotch on Synthetics Hexaploid Wheat
Wheat Blast Data for seven CIMMYT wheat nurseries during the 2022 cropping cycle
No full textWheat head blast index (%) data for seven CIMMYT nurseries (12HPAN, 13HLBSN, 13HZAN, 38SAWSN, 52IDSN, 53IBWSN, 54IBWSN) is presented. Field trials took place in Quirusillas and Okinawa (Bolivia) and Jashore (Bangladesh) during the 2022 cycles. Two sowings were made in each location/cycle
Replication Data for: Elucidating Genetic Control of Maydis Leaf Blight Resistance in Tropical Maize Through Genome Wide Association Studies and Genomic Predictions
No full textMaydis Leaf Blight (MLB) is a serious foliar disease for maize in warm and humid regions. The data in this dataset were used to investigate the genetic architecture underlying resistance to MLB using high resolution Genome Wide Association Studies and Genomic Prediction. A diverse panel of 336 maize inbreds adapted for the Asian tropics, were evaluated for MLB disease score under four environments using artificial inoculation. In addition, a set of high density SNPs (128,490) from genotyping by sequencing were used for the study. The results of this study are presented in the accompanying publication
Replication Data for: Discovery of Genomic Regions Associated with Grain Yield and Agronomic Traits in Bi-parental Populations of Maize (Zea mays. L) under Optimum and Low Nitrogen Conditions
No full textLow soil nitrogen stress can contribute to food insecurity, malnutrition, and rural poverty in maize-dependent smallholder communities of sub-Saharan Africa (SSA). Enhanced selection for improved varieites may result from a better understanding of the genomic regions associated with low nitrogen tolerance. Four F3 maize populations were used to study the genetic architecture of grain yield (GY) and its associated traits (anthesis-silking interval (ASI), anthesis date (AD), plant height (PH), ear position (EPO), and ear height (EH)) under different soil nitrogen regimes in Kenya and Zimbabwe. Information about the populations and the genotypic data used in the analyses are provided in this dataset. The results of the analysis are reported in the related journal article
Replication Data for: Combination of Linkage and Association Mapping with Genomic Prediction to Infer QTL Regions Associated with Gray Leaf Spot and Northern Corn Leaf Blight Resistance in Tropical Maize
No full textGray Leaf Spot (GLS) and Northern Corn Leaf Blight (NCLB) are two pathogens with high genetic diversity that can reduce grain yield in infected maize plants.To identify population-based quantitative trait loci (QTL) for GLS and NCLB resistance, a biparental population and an association mapping panel were genotyped and were also phenotyped across multi-environments in western Kenya. This dataset includes the analyzed BLUES of the collected phenotypic data for Gray Leaf Spot GLS and NCLB resistance from the DH population and diversity panel, as well as the GBS genotypic data. The results of the analysis are reported in the accompanying article
In-situ crop type data for the Terai region of Nepal for 2022-2023 winter season
No full textThe Nepal Crop Type Survey 2022-2023 aims to comprehensively assess and categorize the diverse range of crops cultivated across various regions of Nepal. This survey endeavors to capture the agricultural landscape, identifying predominant crop types, their distribution, and cultivation practices. Objectives of this survey were i) to identify diverse range of crops cultivated across various regions for understanding agricultural diversity within Nepal, ii) to map the crop types by using survey data collected on the ground in combination with high-resolution satellite images (ESRI World Imagery, Venµs and Sentinel-2), and iii) to create a dataset for the winter crops covering most of the Terai region of Nepal
Replication Data for: Use of Remote Sensing for Genome-Wide Association Studies and Genomic Prediction
No full textDisease resistance improvement efforts in plant breeding can help to reduce the negative impact of biotic stresses on crop production.Disease resistance can be assessed through a labor-intensive process of assigning visual scores
(VS) of susceptibility (or resistance) by specially trained staff. Remote sensing (RS) tools can also be used to measure traits such as vegetation indices that can also be used to assess plant responses to diseases. This dataset contains phenotypic and genotypic data from a two-year evaluation trial of three newly
developed biparental populations of maize doubled haploid lines (DH). Data from VS and RS methods for assessing common rust resistance were used in genome wide association study (GWAS) as well as genomic prediction (GP) analyses. A report on the comparison of the results of these analyses is provided in the accompanying article