51 to 60 of 168 Results
Sep 12, 2022 - CIMMYT Research Data
De Groote, Hugo; Githinji, Peter G.; Munyua, Bernard; Ricker-Gilbert, Jacob E., 2022, "Survey of open-air drying operators in Kenya, 2018: Study of the technical and economic aspects of road-side maize drying", https://hdl.handle.net/11529/10548796, CIMMYT Research Data & Software Repository Network, V1
This file contains the data from a survey conducted with 122 respondents, found drying maize in open air along the roads in the towns and urban centers of major maize growing areas of Kenya (Bungoma, Trans Nzoia, Uasin Gishu and Nakuru) and Nairobi. Most of them were maize trader... |
Aug 31, 2022 - CIMMYT Research Data
De Groote, Hugo; Kariuki, Sarah W.; Traore, Djibril; Taylor, John R. N.; Ferruzzi, Mario; Hamaker, Bruce R., 2022, "Consumers’ study with instant fortified pearl millet products using affective tests and experimental auctions in Touba, Senegal", https://hdl.handle.net/11529/10548792, CIMMYT Research Data & Software Repository Network, V1
For this study, 201 consumers from Touba Senegal, were invited to evaluated four new flour products in comparison with the conventional pearl millet flours: instant pearl millet flour, instant pearl millet flour pearl millet flour, instant pearl millet flour with added dry mango... |
Aug 27, 2022 - CIMMYT Research Data
Rashid, Zerka; Babu, Veerendra; Sharma, Shyam Sundar; Singh, Pradeep Kumar; Nair, Sudha, 2022, "Replication Data for: Genome wide association study and linkage mapping dissect resistance to Fusarium stalk rot in tropical maize", https://hdl.handle.net/11529/10548791, CIMMYT Research Data & Software Repository Network, V1
The economically important post flowering stalk rot (PFSR) disease of maize known as Fusarium stalk rot (FSR) is caused by Fusarium verticillioides. A genome wide association study (GWAS) was conducted with 342 maize lines for identification and validation of genomic regions asso... |
Aug 26, 2022 - Cereal Systems Initiative for South Asia (CSISA) Research Data
Ajay, Anurag; Craufurd, Peter; Sharma, Sachin; Malik, RK; Singh, AK; Samaddar, Arindam; Singh, Balwinder; Paudel, Gokul; Panneerselvam, Peramaiyan; Rai, Ashok; McDonald, Andrew, 2022, "Large-scale data of crop production practices applied by farmers on their largest rice plot during 2018 in eight Indian states", https://hdl.handle.net/11529/10548656, CIMMYT Research Data & Software Repository Network, V3
Landscape Diagnostic Survey (LDS) data contains current rice production practices of rice applied by 8,355 farmers in eight states 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-base... |
Aug 25, 2022 - CIMMYT Research Data
De Groote, Hugo; Mugalavai, Violet; Ferruzzi, Mario; Onkware, Augustino; Ayua, Emmanuel; Duodu, Kwaku G.; Ndegwa, Michael; Hamaker, Bruce R., 2022, "Consumer study on acceptance and willingness to pay for instant cereal products with food-to-food fortification, using affective tests and experimental auctions, in Eldoret, Kenya", https://hdl.handle.net/11529/10548790, CIMMYT Research Data & Software Repository Network, V1
In this study 220 urban consumers of Eldoret were asked i) about socioeconomic characteristics and nutritional knowledge, ii) evaluate five flours with two preparations using affective tests, iii) to provide willingness-to-pay for the five flours using with experimental auctions.... |
Aug 23, 2022 - CIMMYT Research Data
De Groote, Hugo; Munyua, Bernard; Traore, Djibril; Taylor, John R. N.; Ferruzzi, Mario; Ndiaye, Cheikh; Onyeoziri, Isiguzoro O.; Hamaker, Bruce R., 2022, "Consumer study on acceptance of instant fortified millet with the Food Processing Lab (FPL) in Dakar, Senegal", https://hdl.handle.net/11529/10548788, CIMMYT Research Data & Software Repository Network, V1
For this study, 296 consumers from Dakar, Senegal, were invited to evaluated five pearl millet flours: (a) conventional, compared to four instant-porridge flour products; (b) sifted; (c) wholegrain; (d) sifted with premix; (e) wholegrain with micronutrient premix and food-to-food... |
Aug 22, 2022 - CIMMYT Research Data
Singh, Ravi Gopal, 2022, "Evaluation of wheat, barley and triticale elite lines for Bajio region in Central Mexico: OI 2016-17", https://hdl.handle.net/11529/10548674, CIMMYT Research Data & Software Repository Network, V1
Evaluation of wheat, barley and triticale elite lines for Bajio region in Central Mexico: OI 2016-17 |
Aug 18, 2022 - CIMMYT Research Data
Montesinos-López, Osval A.; Mosqueda-González, Brandon Alejandro; Salinas-Ruiz, Josafhat; Montesinos-López, Abelardo; Crossa, Jose, 2022, "Replication Data for: Sparse multi-trait genomic prediction under incomplete block designs", https://hdl.handle.net/11529/10548787, CIMMYT Research Data & Software Repository Network, V1
The efficiency of genomic selection methodologies can be increased by sparse testing where a subset of materials are evaluated in different environments. Seven different multi-environment plant breeding datasets were used to evaluate four different methods for allocating lines to... |
Aug 16, 2022 - CIMMYT Research Data
Vivek, Bindiganavile; Nagesh, Patne; Zaidi, Pervez; Nair, Sudha; Rashid, Zerka; Vinayan, Madhumal Thayil; Issa, AbduRahman; Davis, Nicholas; Das, Aparna; Prasanna, B.M., 2022, "2022 CIMMYT Maize South Asia Product Announcement", https://hdl.handle.net/11529/10548786, CIMMYT Research Data & Software Repository Network, V1
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 South Asia and similar agro-ecological zones. Following... |
Aug 11, 2022 - CIMMYT Research Data
Cuevas, Jaime; Reslow, Fredrik; Crossa, Jose; Ortiz, Rodomiro, 2022, "Replication Data for: Modeling genotype × environment interaction for single and multi-trait genomic prediction in potato (Solanum tuberosum L.)", https://hdl.handle.net/11529/10548784, CIMMYT Research Data & Software Repository Network, V1
Genomic prediction (GP) can be used in the breeding of polysomic polyploid plant species. Different models can be used to generate the genomic prediction including single trait and multi-trait models. The data provided in this dataset were used to investigate the accuracy of four... |
