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1114 research outputs found
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Replication Data for: Genomic prediction of resistance to Tar Spot Complex of maize in multiple populations using genotyping-by-sequencing SNPs
No full textTar spot complex (TSC) is an important foliar disease for tropical maize.
The data provided in this dataset were used to estimate the effectiveness of genomic selection for improving TSC resistance. The results of the analysis are reported in the accompanying journal articl
Genotypic and phenotypic data on wheat blast for the Alondra/Milan and Caninde#2/Milan-S populations
No full textGBS genotypic data and raw phenotypic data on wheat blast for two bi-parental populations Alondra/Milan and Caninde#2/Milan-
Replication Data for: Multi-generation genomic prediction of maize yield using parametric and non-parametric sparse selection indices
No full textGenomic 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
Yield of maize, wheat and barley planted on wide and narrow permanent beds, under irrigated and rainfed conditions in Mexico
No full textWe 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
Replication Data for: Spot blotch and marker data for BARTAI x CIANOT79 (BC) and CASCABEL x CIANOT79 (CC) populations
No full textPhenotypic and genotypic data of BARTAI x CIANOT79 (BC) and CASCABEL x CIANOT79 (CC) populations, for QTL mapping on spot blotch resistanc
Daily weather data for International Wheat Improvement Network (IWIN) locations based on AgERA5
No full textDaily weather data from 1979 to 2019. The variables included are precipitation (mm), relative humidity max, relative humidity min, short wave radiation (MJ/m2/d), temperature max (°C), temperature min (°C), vapor pressure deficit max (kPa), wind speed 2m (m/s) and wind speed 10m (m/s). Data are world wide with a resolution of 0.1° x 0.1°
Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit
No full textIn breeding, the plant net genetic merit may be predicted through the linear phenotypic selection index (LPSI). This paper associated with this dataset proposes a Bayesian LPSI (BLPSI). The supplemental files provided in this dataset include data that were used to compare the two indices as well as figures showing the results from these comparisons. The analysis revealed that the BLPSI is a good option when carrying out phenotypic selections in breeding programs
Projecting Food Demand in 2030 and 2050: Can Uganda Attain the Zero Hunger Goal?
No full textLSMS-ISA 2010-11, LSMS-ISA 2013-14, and LSMS-ISA 2015-16 of Ugand
Data on farmers’ rice production practices during 2017 monsoon season from eastern states of India
No full textLandscape Diagnostic Survey (LDS) for rice contains farmer's data on current production practices they applied for cultivating rice during 2017 monsoon season. The dataset contains 6857 farmers’ information captured from Bihar, Uttar Pradesh and Odisha states from eastern part of India. The objective of collecting this data is to bridge the existing data-gap and to generate data-based evidence that can help in evidence-based planning. The LDS is designed in a way that data is collected from randomly selected farmers spread uniformly within a KVK (government extension system) domain/district. Survey questionnaire captures all production practices applied by farmers from land preparation to harvesting, including detailed sections on rice establishment, fertilizer use, weed control and irrigation application. Data is captured through electronically enabled Open Data Kit (ODK) tool on mobile phone or tablet
Evaluation of maize pre-breeding materials under the Seeds of Discovery initiative in 2018
No full textThese data describe the evaluation of landrace-derived pre-breeding materials for biotic and abiotic stress resistance as well as for blue maize production in 2018. Populations of interest for drought stress during flowering time, heat stress during flowering time, Tar Spot tolerance, and blue maize production were evaluated for yield potential and response to the stresses with support from the MasAgro Biodiversidad project and the CGIAR Research Program on Maize