Compilation of information of all flowering QTL reported in 18 publications. This information has been used in meta-analysis conducted in the referred study to identify meta-QTL of flowering time.
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 southern Africa 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 four new elite maize hybrids in Southern Africa in 2021. 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, private seed companies, and NGOs, in eastern and southern Africa under various management and environmental conditions.
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.
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.
Maize (Zea mays L.), the staple crop of Mexico, is often produced by smallholder farmers on sloping terrains. Historically, little agronomic research has been performed under the conditions of these farmers to support them in the sustainable intensification of their production systems. We set up trials at two locations in the state of Oaxaca to evaluate conservation agriculture and agroforestry in collaboration with local farmers. This dataset includes the data taken between 2015 and 2019 in the Santa Maria Teopoxco research platform and between 2014 and 2019 in the Tamazulapam del Espiritu Santo research platform, both located in the Mexican state of Oaxaca in the Pacífico Sur innovation hub. In both platforms the local conventional system was compared with 4 improved treatments. Improved treatments included zero tillage, residue management, liming, crop rotation and fertilization in different combinations. In both platforms these treatments were evaluated within a MIAF (Milpa Intercalada con Arboles Frutales) agroforestry arrangement. The MIAF system was implemented at both sites by planting rows of trees along the contour lines with a distance between rows of 10.6 m and between trees of 1 m in Tamazulapam (900 trees ha-1) and 2 m in Teopoxco (450 trees ha-1). Maize was sown on 60% of the area and 40% was under fruit trees. The database contains agronomic data (fertilization, density, tillage, residue management, plant spacing), yield data (grain yield of maize, squash and bean, fresh yield of peas, avocado and peach), plant development data (sowing, emergence, flowering, maturity and harvest, plant height, lodging) and economic data (production costs, gross margin and net profit).
The objective of this survey was to identify the major wheat productivity and profitability drivers in Nepal Terai. Nepal Terai is considered as the part of Indo-Gangetic Basin and its the major cereal production domain in Nepal. In year 2016, immediately following the wheat harvest, this survey was conducted. A total of 10 districts were purposively selected for the survey based on the highest wheat acreage. In each district, a total of five sub-districts were further selected purposively based on the highest wheat acreage. In each sub-districts (or village development committees: VDCs) a total of 10 wheat producing farms were selected randomly from the farmers name list provided by the village level administrative authorities. The overall sampling frame consists of 10 samples from each VDC × 5 sub-districts (VDCs) in each district × 10 districts in Nepal Terai = 500 samples. Moreover, in order to check the farmers self reported yield, 50% farmers largest plots were selected for the crop cuts and the crop cuts data are also available with this dataset. These crop cuts were conducted prior to the survey – during the time when farmers harvest their wheat crop. Farmers may have multiple plots and asking the data from each plot may reduce the data quality. Therefore, to increase the precision and collect the quality data, farmers inputs (e.g., seed, fertilizer, weed management practices, varieties, sowing time, harvesting time, and other crop management practices), and outputs were asked only for largest plot. Data were collected through a direct farm visit and paper-based survey was deployed. The details of the questions asked, codebook, their description, meta-data, and data can be found in this dataset.
(prepared R.A.(Tony) Fischer 14 August 2021) This dataset contains three data files that were obtained and/or constructed an analysis of 60 years’ yield progress with irrigated wheat yield in northwest Mexico: 1. Wheat harvested area and average yield each harvest year for the irrigated Cajeme District of Sonora State, Mexico, from 1960 to 2019 (file name = 1. Annual wheat average yield and harvest area 1960 to 2019, Yaqui Valley (Cajeme District) 2. Monthly average Tmax, Tmin, precipitation total and frost days from November 1959 to April 2019 (only for November to April each year, which corresponds to the irrigated wheat season) for a location at or near the centrally-located CIANO (now CENEB) agricultural research station of the Yaqui Valley. Monthly mean solar radiation (Rs) was added from November 1967 (unavailable beforehand) (file name = 2. Mean monthly wheat weather 1960 to 2019 Yaqui Valley). 3. Daily solar radiation (Rs), Tmax and Tmin from November 1967 to April 2019 (again only for November to April each year) (file name = 3. Daily wheat weather 1967 to 2019 Yaqui Valley). Locating and acknowledging the exact original sources of these data is not easy, but is explained at the beginning of each file and within the files if the source varies. The wheat area and yield data is publicly available soon after harvest, having been collated by Cajeme District grain receival authority in Cd Obregon, who also regularly provide updated multiyear records of the finalized annual numbers. This District comprises the bulk of the irrigated Yaqui Valley and has been synonymous with the Yaqui Valley for outsiders. The weather data comes from the International Maize and Wheat Improvement Center (CIMMYT) headquarters, which has operated a weather station at CIANO/CEBEB experiment station, located centrally in the Yaqui Valley since 1968. However, for most numbers before 1968 the State Hydraulic Resources (CONAGUA in Cd Obregon), using data held by CIMMYT was used, and a few numbers after 2000 were obtained from the Hydraulic Resources in Cd Obregon and the Sonora State meteorological service (REMAS in Hermosillo). A large part of the daily Tmax and Tmin data (1968 to 1999), although originally from CIMMYT, was collated by Professor L.A. (Tony) Hunt of Guelph University, Canada, as was the daily and (monthly) Rs data from 1968 to 1983. From 1984 the NASA web site has continuous daily Rs data closely matching the Hunt numbers, so this source was used thereafter, while Hunt and Fisiologia data (adjusted to match NASA data) was used from 1968 to 1983. Tmax and Tmin data are also available on the NASA site but did not match CIMMYT data well and was never used. So the weather data has several sources, which increases the risk of error. Only the very strong relationship right across the 60 year period between totally independent variables yield and Tmin reassures us that the weather data is sound. A follow-up study (and associated database) will disaggregate the causes of the spectacular progress recorded.
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 Latin America and similar agro-ecological zones. Following a rigorous trialing and a stage-gate advancement process culminating in the 2020 Stage 5 trials, CIMMYT advanced a total of two new elite maize hybrids in Latin America in 2021. Phenotypic data collected in Stage 4 and Stage 5 trials for the two 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 NARS and private seed companies, in Latin America under various management and environmental conditions. Nuevos y mejorados híbridos desarrollados por el Programa Global de Maíz del CIMMYT se ponen a disposición de instituciones del sector público y privado, especialmente para aquellas instituciones colaboradoras interesadas en la comercialización y diseminación de semilla de maíz en Latinoamérica o en zonas agroecológicas similares. Después de un riguroso proceso de evaluación de germoplasma en distintas etapas que culminó en ensayos de evaluación de híbridos en etapa cinco, el CIMMYT avanzó dos nuevos híbridos élite en Latinoamérica en 2021. Datos fenotípicos recopilados en los ensayos en etapa cuatro y cinco, además de información sobre los sitios están incluidos en este conjunto de datos. Estos ensayos fueron conducidos bajo diferentes condiciones de manejo y ambientes a través de redes colaborativas con instituciones de investigación pública y empresas semilleras de Latinoamérica.
We investigated the effect of bed width on grain yield under irrigated and rainfed conditions, for crops grown on permanent beds, where the top of the raised beds is not tilled. The study included nine sites in Central Mexico, where wide and narrow permanent beds were compared at the same site for at least three consecutive crop cycles. Six trials were selected under rainfed conditions in the states of Queretaro, Guanajuato, Michoacan, and State of Mexico, and three more with irrigation, which were located in Guanajuato and Queretaro. The data were collected in different periods, from 2007 to 2019. The database contains yield data for maize (Zea mays L.), wheat (Trititcum aestivum L.) and barley (Hordeum vulgare L.) planted on wide and narrow permanent beds.
Genomic prediction models may be used in plant breeding pipelines. They are often calibrated using multi-generation data and there is an open question of whether all available data or a subset of it should be used to calibrate genomic prediction models. Therefore, a study was undertaken to determine whether combining sparse selection indexes (SSIs) and kernel methods could further improve prediction accuracy when training genomic models using multi-generation data. This dataset contains the genotypic and phenotypic data from CIMMYT maize doubled haploid lines that were used to perform the analyses. The results of the analyses are presented in the accompanying article.