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ARS Home » People & Locations » Jennifer Woodward-Greene
Jennifer Woodward-Greene
Indexing and Informatics Branch
Branch Chief

Phone: (240) 393-6147
Fax:

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Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)
The African Goat Improvement Network: A scientific group empowering smallholder farmers Reprint Icon - (Peer Reviewed Journal)
Van Tassell, C.P., Rosen, B.D., Woodward Greene, M.J., Silverstein, J., Huson, H.J., Solkner, J., Boettcher, P., Rothschild, M.F., Meszaros, G., Nakimbugwe, H., Gondwe, T., Muchadeyi, F.C., Nandolo, W., Mulindwa, H.A., Banda, L.J., Kaumbata, W., Getachew, T., Haile, A., Soudre, A., Ouedraogo, D., Rischkowsky, B.A., Mwai, A.O., Dzomba, E.F., Nash, O., Abegaz, S., Masiga, C.W., Wurzinger, M., Sayre, B.L., Stella, A., Tosser-Klopp, G., Sonstegard, T.S. 2023. The African Goat Improvement Network: A scientific group empowering smallholder farmers. Frontiers in Genetics. 14:1183240. https://doi.org/10.3389/fgene.2023.1183240.
Using the community-based breeding program (CBBP) model as a collaborative platform to develop the African Goat Improvement Network—Image collection protocol (AGIN-ICP) with mobile technology for data collection Reprint Icon - (Peer Reviewed Journal)
Woodward Greene, M.J., Kinser, J.M., Huson, H.J., Sonstegard, T.S., Solkner, J., Vaisman, I.I., Boettcher, P., Masiga, C., Mukasa, C., Abegaz, S., Agaba, M., Ahmed, S.S., Fridolin, M., Getachew, T., Gondowe, T., Haile, A., Hassan, Y., Kihara, A., Kouriba, A., Mruttu, H.A., Mujibi, D., Nandolo, W., Rischkowsky, B., Rosen, B.D., Sayre, B., Van Tassell, C.P. 2023. Using the community-based breeding program (CBBP) model as a collaborative platform to develop the African Goat Improvement Network—Image collection protocol (AGIN-ICP) with mobile technology for data collection and management of livestock phenotypes. Frontiers in Genetics. 14:1200770. https://doi.org/10.3389/fgene.2023.1200770.
Knowledge management in agriculture - (Popular Publication)
Scalable knowledge management to meet global 21st century challenges in agriculture - (Review Article)
Short, N.M.,Woodward-Greene, M.J., Buser, M.D., Roberts, D.P. 2023. Scalable knowledge management to meet global 21st century challenges in agriculture. Land. 12:588.
Detection of copy number variants in African goats using whole genome sequence data Reprint Icon - (Peer Reviewed Journal)
Nandolo, W., Meszaros, G., Banda, L.J., Gondwe, T.N., Mulindwa, H.A., Nakimbugwe, H.N., Wurzinger, M., Clark, E., Woodward Greene, M.J., Liu, M., Liu, G., Van Tassell, C.P., Rosen, B.D., Solkner, J. 2021. Detection of copy number variants in African goats using whole genome sequence data. BMC Genomics. 22(1):398. https://doi.org/10.1186/s12864-021-07703-1.
Experiences from the implementation of community-based goat breeding programs in Malawi and Uganda: a potential approach for conservation and improvement of indigenous small ruminants in smallholder farms Reprint Icon - (Peer Reviewed Journal)
Kaumbata, W., Nakimbugwe, H.N., Nandolo, W., Banda, L.J., Meszaros, G., Gondwe, T.N., Woodward Greene, M.J., Rosen, B.D., Van Tassell, C.P., S0lkner, J., Wurzinger, M. 2021. Experiences from the implementation of community-based goat breeding programs in Malawi and Uganda: a potential approach for conservation and improvement of indigenous small ruminants in smallholder farms. Sustainability. 13(3):1494. https://doi.org/10.3390/su13031494.
Scaling up community-based breeding programmes via multi-stakeholder collaboration Reprint Icon - (Peer Reviewed Journal)
Kaumbata, W., Nakimbugwe, H.N., Haile, A., Banda, L.J., Meszaros, G., Gondwe, T.N., Woodward Greene, M.J., Rosen, B.D., Van Tassell, C.P., Solkner, J., Wurzinger, M. 2020. Scaling up community-based breeding programmes via multi-stakeholder collaboration. Journal of Agriculture and Rural Development in the Tropics and Subtropics. 12(1):99-112. https://doi.org/10.17170/kobra-202005281298.
Machine learning in the assessment of meat quality Reprint Icon - (Peer Reviewed Journal)
Penning, B., Snelling, W.M., Woodward Greene, M.J. 2020. Machine learning in the assessment of meat quality. IEEE IT Professional. 22(3):39-41. https://doi.org/10.1109/mitp.2020.2986123.
AI down on the farm Reprint Icon - (Peer Reviewed Journal)
Sudduth, K.A., Woodward Greene, M.J., Penning, B., Locke, M.A., Rivers, A.R., Veum, K.S. 2020. AI down on the farm. IEEE IT Professional. 22(3):22-26. https://doi.org/10.1109/MITP.2020.2986104.
Multimodal AI to improve agriculture Reprint Icon - (Peer Reviewed Journal)
Parr, C.J, Lemay, D.G., Owen, C.L., Woodward Greene, M.J., Sun, J. 2021. Multimodal AI to improve agriculture. IEEE IT Professional. 23(3):53-57. https://doi.org/10.1109/MITP.2020.2986122.
Tangible and intangible benefits of local goats rearing in smallholder farms in Malawi Reprint Icon - (Peer Reviewed Journal)
Kaumbata, W., Banda, L.J., Meszaros, G., Gondwe, T.N., Woodward Greene, M.J., Rosen, B.D., Van Tassell, C.P., Solkner, J., Wurzinger, M. 2020. Tangible and intangible benefits of local goats rearing in smallholder farms in Malawi. Small Ruminant Research. 87:106095. https://doi.org/10.1016/j.smallrumres.2020.106095.
A vision for development and utilization of high-throughput phenotyping and big data analytics in livestock Reprint Icon - (Peer Reviewed Journal)
Koltes, J.E., Cole, J.B., Clemmens, R., Dilger, R.N., Kramer, L.M., Lunney, J.K., Mccue, M.E., Mckay, S., Mateescu, R., Murdoch, B.M., Reuter, R., Rexroad III, C.E., Rosa, G.J.M., Serao, N.V.L., White, S.N., Woodward Greene, M.J., Worku, M., Zhang, H., Reecy, J.M., editors. 2019. A vision for development and utilization of high-throughput phenotyping and big data analytics in livestock. Frontiers in Genetics. 10:1197. https://doi.org/10.3389/fgene.2019.01197.
Genome-wide CNV analysis revealed variants associated with growth traits in African indigenous goats Reprint Icon - (Peer Reviewed Journal)
Liu, M., Woodward Greene, M.J., Kang, X., Pan, M.G., Rosen, B.D., Van Tassell, C.P., Chen, H., Liu, G. 2020. Genome-wide CNV analysis revealed variants associated with growth traits in African indigenous goats. Genomics. 112(2):1477-1480. https://doi.org/10.1016/j.ygeno.2019.08.018.
Timing and extent of inbreeding in African goats Reprint Icon - (Peer Reviewed Journal)
Nandolo, W., Meszaros, G., Banda, L.J., Gondwe, T.N., Lamuno, D., Mulindwa, H., Nakimbugwe, H.N., Wurzinger, M., Utsunomiya, Y.T., Woodward Greene, M.J., Liu, M., Liu, G., Van Tassell, C.P., Curik, I., Rosen, B.D., Solkner, J. 2019. Timing and extent of inbreeding in African goats. Frontiers in Genetics. 10:57. https://doi.org/10.3389/fgene.2019.00537.
Predicting live weight of rural African goats using body measurements - (Peer Reviewed Journal)
Chinchilla-Vargasa, J., Woodward Greene, M.J., Van Tassell, C.P., Masiga, C.W., Rothschild, M.F. 2018. Predicting live weight of rural African goats using body measurements. Livestock Research for Rural Development. 30(7):123.
The Second Report on the State of the World's Animal Genetic Resources for Food and Agriculture, Part 4, The State of the Art: Box 4A4: A digital enumeration method for collecting phenotypic data for genome association - (Government Publication)
Woodward Greene, M.J., Kinser, J.K., Huson, H.J., Sonstegard, T.S., Soelkner, J., Vaisman, I.I., Van Tassell, C.P. 2015. The Second Report on the State of the World's Animal Genetic Resources for Food and Agriculture, Part 4, The State of the Art: Box 4A4: A digital enumeration method for collecting phenotypic data for genome association. Food and Agriculture Organization of the United Nations. Available: http://www.fao.org/publications/sowangr/en/, page 424, http://fao.org/3/ai4787e.pdf#page=465.
Goat breeding in the tropics: development and application of the genomic tools in a USAID "Feed the Future" program - (Proceedings)
Sayre, B.L., Sonstegard, T.S., Silverstein, J., Huson, H.J., Woodward-Greene, J., Rothschild, M., Nene, V., Denis Mujibi, F., Masiga, C., Fernando Garcia, J., Solkner, J., Van Tassell, C.P. 2013. Goat breeding in the tropics: development and application of the genomic tools in a USAID "Feed the Future" program. Meeting Proceedings. 1983-4357.
African goat improvement project: A feed the future initiative harnessing genetic diversity for conservation, disease resistance, and improved productivity - (Other)
African goat improvement project: A feed the future initiative harnessing geneticdiversity for conservation, disease resistance, and improved productivity - (Abstract Only)
Huson, H.J., Sonstegard, T.S., Silverstein, J., Sayre, B., Woodward Greene, M.J., Rothschild, M., Nene, V., Mujibi, D., Kemp, S., Masiga, C., Mubiru, S., Garcia, F., Soelkner, J., Van Tassell, C.P. 2013. African goat improvement project: A feed the future initiative harnessing geneticdiversity for conservation, disease resistance, and improved productivity. Plant ANimal Genome XXI, paper W416, pp. 171.
Multi-platform next generation sequencing of a high quality genome assembly for the goat - (Abstract Only)
Sonstegard, T.S., Smith, T.P., Schroeder, S.G., Huson, H.J., Zimin, A., Woodward Greene, M.J., Mujibi, D.F., Mcclure, M.C., Silverstein, J., Van Tassell, C.P., Sayre, B.L. 2013. Multi-platform next generation sequencing of a high quality genome assembly for the goat. Plant Animal Genome XXI, paper W417, pp. 171.