Montoya-Pimolwatana Maya, McClellan Maaz Tai, Kantar Michael, Muszynski Michael, Mileyko Yuriy, Prasadh Rishi, Dhungana Ishwora, Kiehl Kenneth, Ana Abigail H, Nguyen Alanna, Tausaga Alycia, Godfrey Amanda, Nitta Amanda K, Tugade Bryceson, JadenYamagata-Santos D, Swantek Elizabeth, Morrell Ethan S, Kalaiwaa G'Voni, Juan Germaine Lindsay, Larsen Gunnar, Ching India Kawelolani, Mikasobe-Kealiinohomoku Jesse, Araszewski Jessica, Averion Joseph Carmelo M, Strachan Katie, Torres Kayla-Marie A, Botanes Keara, Wilkes Keilah C, Rigge Lydia, Lo Malisa, Carr Nicholas, Brenner Noa, Johnson Olivia, Malasarte Roma Amor B, Noland Ruby, Naldini Stefano, Santos Stephenie Andriana, Pierce Tomas, Halpern Urban, Miguel Zeus Gean Paul, Gan Zhuocheng, Nguyen Nhu H
Department of Tropical Plant and Soil Sciences, University of Hawai'i at Mānoa, Honolulu, HI, USA.
Department of Mathematics, University of Hawai'i at Mānoa, Honolulu, HI, USA.
BMC Res Notes. 2025 May 8;18(1):206. doi: 10.1186/s13104-025-07279-z.
This paper characterizes variation in shoot and root traits collected from the founders of the Maize Nested Association Mapping panel, which was designed to maximize genetic diversity while ensuring appropriate flowering in eastern North America. Here, we present a detailed account of greenhouse experiments conducted by four cohorts of undergraduate research interns at the University of Hawai'i at Mānoa. We summarize data collection, data cleaning procedures, and present data for 38 phenotypic variables for 24 genotypes with the number of plant replicates ranging from 3 to 20. The genotype B73 served as our experimental control to enable comparison over the four years. We also grew a subset of genotypes under different abiotic stress treatments to assess the phenotypic plasticity. These data can be used to predict the potential for different lines to function and capacity to adapt to different environments. Data are published on GitHub repositories, and have large reuse potential by the scientific community, as well as educators of undergraduate and graduate instruction.
本文描述了从玉米巢式关联作图群体的创始材料中收集的地上部和根部性状的变异情况,该群体旨在最大化遗传多样性,同时确保在北美东部地区能适时开花。在此,我们详细介绍了夏威夷大学马诺阿分校的四批本科研究实习生所进行的温室实验。我们总结了数据收集、数据清理程序,并展示了24个基因型的38个表型变量的数据,每个基因型的植株重复数从3到20不等。基因型B73作为我们的实验对照,以便在四年间进行比较。我们还在不同的非生物胁迫处理下种植了一部分基因型,以评估表型可塑性。这些数据可用于预测不同品系发挥功能的潜力以及适应不同环境的能力。数据已发布在GitHub存储库中,具有很大的被科学界以及本科和研究生教学的教育工作者重复使用的潜力。