Publications

Dataset / Tabular

Dataset for: Life-table of Diglyphus begini

Mujica, Norma; Garcia, Jaqueline; Carhuapoma, Pablo; Kroschel, Jurgen; Kreuze, Jan, 2018, "Dataset for: Life-table of Diglyphus begini", https://doi.org/10.21223/P3/DXBPKZ, International Potato Center, V1
Biotechnology applications for wheat improvement at CIMMYT
Scientific Publication

Biotechnology applications for wheat improvement at CIMMYT

William, H.M. et al., 'Biotechnology applications for wheat improvement at CIMMYT', Turkish Journal of Agriculture and Forestry, vol. 29(2), 113-119, The Scientific and Technology Research Council of Turkey, 2005
Evaluation of genomic selection training population designs and genotyping strategies in plant breeding programs using simulation
Scientific Publication

Evaluation of genomic selection training population designs and genotyping strategies in plant breeding programs using simulation

Hickey, J. M., Dreisigacker, S., Crossa, J., Hearne, S., Babu, R., Prasanna, B. M., Grondona, M. O., Zambelli, A., Windhausen, V. S., Mathews, K. L., & Gorjanc, G. (2014). Evaluation of genomic selection training population designs and genotyping strategies in plant breeding programs using simulation. *Crop Science*, 54(4), 1476-1488. https://doi.org/10.2135/cropsci2013.03.0195
Effect of bed planting and zero tillage on productivity and water use of Irrigated maize - wheat cropping system in Khyber Pakhtunkhwa province of Pakistan
Scientific Publication

Effect of bed planting and zero tillage on productivity and water use of Irrigated maize - wheat cropping system in Khyber Pakhtunkhwa province of Pakistan

Ahmed, A., Hussain, I., Khalil, I. H., Subhanulla, S., Ahmed, G., Ahmad, İ., & Imtiaz, M. (2018). Effect of bed planting and zero tillage on productivity and water use of irrigated maize wheat cropping system in Khyber Pakhtunkhwa province of Pakistan. *Sarhad Journal of Agriculture*, 34(3), 696-704. https://doi.org/10.17582/journal.sja/2018/34.3.696.704
Deep kernel for genomic and near infrared predictions in multi-environment breeding trials
Scientific Publication

Deep kernel for genomic and near infrared predictions in multi-environment breeding trials

Cuevas, J., Montesinos-López, O. A., Juliana, P., Guzmán, C., Pérez‐Rodríguez, P., González-Bucio, J., Burgueño, J., Montesinos‐López, A., & Crossa, J. (2019). Deep kernel for genomic and near infrared predictions in multi-environment breeding trials. *G3: Genes, Genomes, Genetics*, 9(9), 2913-2924. https://doi.org/10.1534/g3.119.400493
Understanding decision processes in becoming a fee-for-hire service provider: a case study on direct seeded rice in Bihar, India
Scientific Publication

Understanding decision processes in becoming a fee-for-hire service provider: a case study on direct seeded rice in Bihar, India

Brown, B. J., Samaddar, A., Singh, K., Leipzig, A., Kumar, A., Kumar, P., Singh, D., Malik, R. K., Craufurd, P., Kumar, V., & McDonald, A. J. (2021). Understanding decision processes in becoming a fee-for-hire service provider: A case study on direct seeded rice in Bihar, India. *Journal of Rural Studies*, 87, 254–266. https://doi.org/10.1016/j.jrurstud.2021.09.025
Stakeholder perceptions on potential of irrigation to adapt to climate change in mixed farming systems of the Mid-Hills of Nepal: Fuzzy Cognitive Mapping study with farmers, extension and researchers– Summary Report
Report

Stakeholder perceptions on potential of irrigation to adapt to climate change in mixed farming systems of the Mid-Hills of Nepal: Fuzzy Cognitive Mapping study with farmers, extension and researchers– Summary Report

Vissers, L., Shrestha, N., Mponela, P., Jibesh K. C., Lopez-Ridaura, S., Groot, J. C. J., Kafla, S., & Koirala, P. (2024). Stakeholder perceptions on potential of irrigation to adapt to climate change in mixed farming systems of the Mid-Hills of Nepal: Fuzzy Cognitive Mapping study with farmers, extension and researchers– Summary Report. CIMMYT. https://hdl.handle.net/10883/35436
Rice–wheat comparative genomics: Gains and gaps
Scientific Publication

Rice–wheat comparative genomics: Gains and gaps

Wijerathna‐Yapa, A., Bishnoi, R., Ranawaka, B., Magar, M. M., Rehman, H. U., Bharad, S., Lorenc, M. T., Ramtekey, V., Gohar, S., Lata, C., Harun-Or-Rashid, M., Razzaq, M., Sajjad, M., & Basnet, B. R. (2024). Rice–wheat comparative genomics: Gains and gaps. *Crop Journal*, 12(3), 656-669. https://doi.org/10.1016/j.cj.2023.10.008
The wheat sucrose synthase gene TaSus1 is a determinant of grain number per spike
Scientific Publication

The wheat sucrose synthase gene TaSus1 is a determinant of grain number per spike

Shen, L., Zhang, L., Yin, C., Xu, X., Liu, Y., Shen, K., Wu, H., Sun, Z., Wang, K., He, Z., Zhang, X., Hao, C., Hou, J., Bi, A., Zhao, X., Xu, D., Ye, B., Yu, X., Wang, Z., . . . Guo, Z. (2024). The wheat sucrose synthase gene TaSus1 is a major determinant of grain number per spike. *The Crop Journal*, 12(1), 295-300. https://doi.org/10.1016/j.cj.2023.11.007