Search Results - Hearne, Sarah

Optimal units of selection – how many plants are representative of diversity in collections of cowpea landrace accessions? by Hearne, Sarah Jane, Franco, J., Magembe, E.

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Exploring the potential of genebank collections to address food system challenges by McCouch, Susan, Hearne, Sarah Jane, Wenzl, Peter

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Maize Landraces and Adaptation to Climate Change in Mexico by Hellin, Jonathan, Bellon, M.R., Hearne, Sarah Jane

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DNA fingerprinting for crop varietal identification: Fit-for-purpose protocols, their costs and analytical implications by Poets, Ana, Silverstein, Kevin, Pardey, Philip G., Hearne, Sarah, Stevenson, James R.

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CRISPR-mediated genome editing of wheat for enhancing disease resistance by Waites, Joshua O., Achary, Mohan Murali, David, Easter S., Hearne, Sarah, Bandyopadhyay, Anindya

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DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants by Wang, Kelin, Abid, Muhammad Ali, Awais Rasheed, Crossa, José, Hearne, Sarah Jane, Huihui Li

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Introducing the non-rancidity trait into pearl millet seed : scenarios for achieving future impact in Kenya by Muindi, Pauline, Khaemba, Colleta, Rutsaert, Pieter, Donovan, Jason A., Bandyopadhyay, Anindya, Hearne, Sarah Jane

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Fast-forwarding plant breeding with deep learning-based genomic prediction by Gao, Shang, Yu, Tingxi, Rasheed, Awais, Wang, Jiankang, Crossa, Jose, Hearne, Sarah, Li, Huihui

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Editorial: Genomic selection: Lessons learned and perspectives by Martini, Johannes W. R., Hearne, Sarah Jane, Gardunia, Brian W., Wimmer, Valentin, Toledo, Fernando H.

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Artificial intelligence in plant breeding by Farooq, Muhammad Amjad, Shang Gao, Hassan, Muhammad Adeel, Zhangping Huang, Awais Rasheed, Hearne, Sarah, Prasanna, Boddupalli M., Xinhai Li, Huihui Li

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Using an indicator framework to assess organizational change in CGIAR breeding programs resulting from Accelerated Breeding 2022–2024 interventions by Quinn, Michael, De Col, Valentina, Coaldrake, Peter, Hearne, Sarah, Mbanjo, Gaby, Biswanath, Das, Ferguson, Morag E., Gemenet, Dorcus, Jacob, Neena, Bänziger, Marianne

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EXGEP: a framework for predicting genotype-by-environment interactions using ensembles of explainable machine-learning models by Yu, Tingxi, Zhang, Hao, Chen, Shoukun, Gao, Shang, Liu, Ze, Wang, Jiankang, Crossa, Jose, Montesinos-Lopez, Osval Antonio, Hearne, Sarah, Li, Huihui

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Maize Lethal Necrosis disease: review of molecular and genetic resistance mechanisms, socio-economic impacts, and mitigation strategies in sub-Saharan Africa by Biswal, Akshaya Kumar, Alakonya, Amos, Mottaleb, Khondoker Abdul, Hearne, Sarah Jane, Sonder, Kai, Molnar, Terence Luke, Jones, Alan M., Pixley, Kevin Vail, Boddupalli, P.M.

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Mining alleles for tar spot complex resistance from CIMMYT's maize Germplasm Bank by Willcox, Martha, Burgueño, Juan, Jeffers, Daniel, Rodríguez Chanona, Enrique, Guadarrama, Armando, Kehel, Zakaria, Chepetla, Daniel, Shrestha, Rosemary, Swarts, Kelly, Buckler, Edward S., Hearne, Sarah Jane, Chen, Charles

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Leveraging automated machine learning for environmental data-driven genetic analysis and genomic prediction in maize hybrids by He, Kunhui, Yu, Tingxi, Gao, Shang, Chen, Shoukun, Li, Liang, Zhang, Xuecai, Huang, Changling, Xu, Yunbi, Wang, Jiankang, Boddupalli, Prasanna, Hearne, Sarah, Li, Xinhai, Li, Huihui

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Identification, validation and high-throughput genotyping of transcribed gene SNPs in cassava by Ferguson, Morag E., Hearne, Sarah Jane, Close, T.J., Wanamaker, S., Moskal, W.A., Town, C.D., Young, J. de, Marri, P.R., Rabbi, Ismail Y., Villiers, Etienne P. de

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Environmental data provide marginal benefit for predicting climate adaptation by Li, Forrest, Gates, Daniel J., Buckler, Edward, Hufford, Matthew, Janzen, Garrett, Rellán-Álvarez, Rubén, Rodríguez-Zapata, Fausto, Romero Navarro, J. Alberto, Sawers, Ruairidh, Snodgrass, Samantha, Sonder, Kai, Willcox, Martha, Hearne, Sarah, Ross-Ibarra, Jeffrey, Runcie, Daniel

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The role of transposon inverted repeats in balancing drought tolerance and yield-related traits in maize by Sun, Xiaopeng, Xiang, Yanli, Dou, Nannan, Zhang, Hui, Pei, Surui, Valdés Franco, J. Arcadio, Menon, Mitra, Monier, Brandon, Ferebee, Taylor, Liu, Tao, Liu, Sanyang, Gao, Yuchi, Wang, Jubin, Terzaghi, William, Jianbing Yan, Hearne, Sarah Jane, Lin Li, Feng Li, Dai, Mingqiu

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Redesigning crop varieties to win the race between climate change and food security by Pixley, Kevin V., Cairns, Jill E., López Ridaura, Santiago, Ojiewo, Christopher Ochieng, Abba Dawud, Maryam, Drabo, Inoussa, Mindaye, Taye, Nebie, Baloua, Asea, Godfrey, Das, Biswanath, Daudi, Happy, Desmae, Haile, Batieno, Benoit Joseph, Boukar, Ousmane, Mukankusi, Clare T.M., Nkalubo, Stanley T., Hearne, Sarah Jane, Dhugga, Kanwarpal S., Gandhi, Harish, Snapp, Sieglinde, Zepeda Villarreal, Ernesto Adair

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Technical assistance to strengthen national agricultural research organizations’ capacity to use digital sequence information. A submission from CGIAR by López Noriega, Isabel, Rouard, Mathieu, Halewood, Michael, Sackville-Hamilton, N. Ruaraidh, Bhattacharjee, Ranjana, Carvajal Yepes, Monica, Domelevo Entfellner, Jean-Baka, Hearne, Sarah Jane, Hendre, Prasad, Kehel, Zakaria, Kreuze, Jan F., Kuldeep, Singh, Manish, Pandey, Muchugi, Alice, Ndjiondjop, Marie-Noelle, Ng, Eng Hwa, Odeny, Damaris Achieng, Sansaloni, Carolina Paola, Mayes, Sean, Wricha, Tyag, Ziyomo, Cathrine

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