291 to 300 of 1,132 Results
R Data - 562.1 KB -
MD5: 42227b92d67472bc2be1dc6d3a48ba67
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R Data - 65.0 KB -
MD5: 8874f51ef1f1371b23dd5a63c1daabfe
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Aug 10, 2022 - CIMMYT Research Data
Montesinos-López, Osval A.; Montesinos-López, Abelardo; Cano-Paez, Bernabé; Hernández-Suarez, Carlos Moisés; Santana Mancilla, Pedro Cesar; Crossa, Jose, 2022, "Replication Data for: A comparison between three machine learning methods for multivariate genomic prediction using the Sparse Kernels Methods (SKM) library", https://hdl.handle.net/11529/10548728, CIMMYT Research Data & Software Repository Network, V3
Genomic selection (GS) provides a new way for plant breeders select the best genotype. It draws upon historical phenotypic and genotypic information for training a statistical machine learning model which is used for predicting phenotypic (or breeding) values of new lines for whi... |
MS Word - 401.8 KB -
MD5: 437611ef7d5c9eabe9aed1ce7dfb52a3
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Aug 9, 2022 - CIMMYT Research Data
De Groote, Hugo; Kimenju, Simon; Omondi, Wilfred; Muteti, Francisca; Bruce, Anani, 2022, "Community survey on stresses in maize production in six agroecological zones in Kenya", https://hdl.handle.net/11529/10548770, CIMMYT Research Data & Software Repository Network, V1
This data set presents the results of 121 focus group discussions with men and women, in randomly selected communities, therefore representative of the six major maize agroecological zones in Kenya. Topics include biotic and abiotic stresses, in particular storage pests, maize le... |
SPSS Binary - 1.1 MB -
MD5: af1a43c6ecf8444fc5bd77d2b070b4ed
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Aug 9, 2022 - CIMMYT Research Data
De Groote, Hugo; Rodenburg, Jonne; Cotter, Marc; Mohamed, Kamal I., 2022, "Striga presence in Africa: Historic data from different sources", https://hdl.handle.net/11529/10548764, CIMMYT Research Data & Software Repository Network, V1
Combines presence data of Striga hermonthica and Striga asiatica on different crops from four different sources, obtained from online publications or authors. |
SPSS Binary - 289.5 KB -
MD5: 23de0d9e460cd89f5fd40c3ef4880bd0
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MS Excel Spreadsheet - 157.7 KB -
MD5: 1ebc3468cdcc5ce5445fb478b3a71da6
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Aug 4, 2022 - CIMMYT Research Data
Nayak, Hari Sankar; Silva, Jo˜ao Vasco; Parihar, Chiter Mal; Kakraliya, Suresh K.; Krupnik, Timothy J.; Bijarniya, Deepak; Jat, ML; Sharma, Parbodh C.; Jat, Hanuman Sahay; Sidhu, Harminder Singh; Sapkota, Tek B., 2022, "Rice yield gaps and nitrogen-use efficiency in the Northwestern Indo-Gangetic Plains of India: Evidence based insights from heterogeneous farmers’ practices", https://hdl.handle.net/11529/10548774, CIMMYT Research Data & Software Repository Network, V1
A large database of individual farmer field data (n = 4,107) for rice production in the Northwestern Indo- Gangetic Plains of India was used to decompose rice yield gaps and to investigate the scope to reduce nitrogen (N) inputs without compromising yields. Stochastic frontier an... |
