501 to 510 of 959 Results
Apr 15, 2021
Verhulst, Nele; Odjo, Sylvanus; Palacios, Natalia, 2021, "Data for: Hermetic storage technologies preserve maize seed quality and minimize grain quality loss in smallholder farming systems in Mexico", https://hdl.handle.net/11529/10548569, CIMMYT Research Data & Software Repository Network, V1, UNF:6:tMRAHkVtYu+mU0U5kzFcyw== [fileUNF]
Odjo et al. (2020) reported results on the effect of different storage technologies on postharvest losses of maize. CIMMYT and its network of collaborators implemented a second part of these experiments in 2017 and 2018 to evaluate the effect of different storage storages technol... |
Cerón-Rojas, J. Jesus; Perez-Elizalde, Sergio; Crossa, Jose; Martini, Johannes Wolfgang Robert, 2021, "Replication Data for: A Bayesian Linear Phenotypic Selection Index to Predict the Net Genetic Merit", https://hdl.handle.net/11529/10548567, CIMMYT Research Data & Software Repository Network, V1
In 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... |
Apr 9, 2021
Verhulst, Nele; Fonteyne, Simon; Leal Gonzalez, Abel Jaime, 2021, "Weed management by tillage by site interaction experiment in Oaxaca, Mexico", https://hdl.handle.net/11529/10548568, CIMMYT Research Data & Software Repository Network, V1, UNF:6:hu0qohjWI53q6ZnI87Pexg== [fileUNF]
The experiment was conducted in 2016 and 2017 in three regions in Oaxaca, Mexico. The design of the study was to evaluate fifteen combinations of tillage and weed management practices at each of the three sites, with each trial consisting of three blocks with a different type of... |
Apr 9, 2021
Zhang, Xuecai; Olsen, Michael, 2016, "CIMMYT Maize Line genotypic profiles generated through genotyping-by-sequencing", https://hdl.handle.net/11529/10423, CIMMYT Research Data & Software Repository Network, V2, UNF:6:6WoOmAxMCD8et5NNCpu/BQ== [fileUNF]
CIMMYT Maize Lines (CMLs) are the elite inbred lines released by CIMMYT to collaborators around the world and to the general public each year. Genetic fingerprints of 538 CML lines were generated by genotyping-by-sequencing at the Genomic Diversity Facility at Cornell University... |
Mar 23, 2021
Makumbi, Dan; Prasanna, B.M., 2021, "Performance of maize inbred lines under artificial inoculation with aflatoxin", https://hdl.handle.net/11529/10548563, CIMMYT Research Data & Software Repository Network, V1
This dataset contains information about the performance of maize inbred lines in Eastern Africa following inoculation with aflatoxin. The aflatoxin-related traits described in the dataset are: AFLTXB1 = Aflatoxin B1; AFLTXB2 = Aflatoxin B2; AFLTXG1 = Aflatoxin G1; AFLTXG2 = Aflat... |
Mar 18, 2021
He, Xinyao; Juliana, Philomin; Kabir, Muhammad R.; Roy, Krishna K.; Islam, Rabiul; Marza, Felix; Peterson, Gary; Singh, Gyanendra P.; Chawade, Aakash; Joshi, Arun K.; Singh, Ravi P.; Singh, Pawan, 2021, "Genotypic data for the South Asian panel with 184 lines", https://hdl.handle.net/11529/10548559, CIMMYT Research Data & Software Repository Network, V1
Genotypic data for the South Asian panel with 184 lines intended for multiple diseases resistance analysis |
Mar 2, 2021
Crespo, Leonardo; Howard, Reka; Singh, Ravi; Mondal, Suchismita; Juliana, Philomin; Jarquín, Diego; Crossa, Jose, 2021, "Replication Data for: Allocation of wheat lines in sparse testing for genome-based multi-environment prediction", https://hdl.handle.net/11529/10548552, CIMMYT Research Data & Software Repository Network, V1
Sparse testing can be used in plant breeding and genome-based prediction. In sparse testing not all of the lines are sown in all environments. The phenotypic and genotypic data files provided in this dataset were used to execute an analysis of three general cases of the compositi... |
Feb 18, 2021
Longmei, Ningthaipuilu; Gill, G. K.; Zaidi, P.H.; Kumar, R.; Nair, S. K.; Hindu, V.; Vinayan, M.T.; Vikal, Y., 2021, "Replication Data for: Genome wide association mapping for heat tolerance in sub-tropical maize", https://hdl.handle.net/11529/10548550, CIMMYT Research Data & Software Repository Network, V1
Heat tolerance is becoming increasingly important for maize grown in the spring season in India because heat stress can lead to devastating yield loss. The genotypic data provided in this dataset were used to carry out GWAS analyses on 662 doubled haploid lines to identify SNPs s... |
Feb 12, 2021
Montes, Carlo; Schulthess, Urs, 2021, "Daily weather data for International Wheat Improvement Network (IWIN) locations based on AgERA5", https://hdl.handle.net/11529/10548548, CIMMYT Research Data & Software Repository Network, V1
Daily 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... |
Jan 31, 2021
Molnar, Terence; Carvalho Andrade, Marcela; Burgueño, Juan; Crossa, Jose; Petroli, Cesar; Hearne, Sarah; Chepetla Calderon, Daniel; Rodriguez Chanona, Enrique; Velazquez, Manuel; Sifuentes, Ernesto; Vidal, Victor; Moreno-Retis, Carlos; Moreno-Retis, Jose; Martinez, Ramon; Ruiz, Marcelo; Corteva, 2021, "Evaluation of maize pre-breeding materials under the Seeds of Discovery initiative in 2018", https://hdl.handle.net/11529/10548543, CIMMYT Research Data & Software Repository Network, V1
These 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 toler... |
