Results 181 to 190 of about 119,438 (260)

Genetic dissection of root traits in a rice 'global MAGIC' population for candidate traits to breed for reduced methane emission. [PDF]

Front Plant Sci
Roy RK, Misra G, Sharma S, Pahi B, Hosseiniyan Khatibi SM, Trijatmiko KR, Kim SR, Hernandez JE, Henry A, Sreenivasulu N, Diaz MGQ, Ocampo ETM, Sinha P, Kohli A.   +13 more
europepmc   +1 more source

Label‐Free Myelin Fingerprinting: An Adult Human Post‐Mortem Brain Slice Platform via Coherent Anti‐Stokes Raman Spectroscopy

Advanced Science, EarlyView.
A serum‐free, air–liquid interface organotypic slice culture model preserves human post‐mortem corpus callosum tissue, successfully recovering from slicing trauma to reflect the donor's underlying disease state. Pairing label‐free Coherent anti‐Stokes Raman scattering (CARS) microscopy with k‐means clustering enables objective, high‐resolution ...
Kasra Roya‐Kouchaki, Jeroen P. Korterik, Femke Tjebbes, Geert J. Schenk, Herman L. Offerhaus, Antonio Luchicchi   +5 more
wiley   +1 more source

Arbuscular Mycorrhizal Symbiosis Enables Efficient Phosphorus Uptake in Sorghum Accessions With Contrasting Root Traits. [PDF]

Plant Cell Environ
Gill J, Tharp CL, Suseela V.
europepmc   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

Advanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li, Chenhao Liu, Dongrui Wu, Zhigang Zeng, Lieyun Ding   +4 more
wiley   +1 more source

Seeing the unseen: A novel approach to extract latent plant root traits from digital images. [PDF]

Plant Phenomics
Shoaib M, Dimech AM, Rochfort SJ, Topp C, Hayden MJ, Kant S.   +5 more
europepmc   +1 more source

SiDT1 Defines Plant Architecture Reminiscent of Green Revolution in Foxtail Millet

Advanced Science, EarlyView.
SiDT1 encodes a GA3‐oxidase that creates a semi‐dwarf, lodging‐resistant architecture reminiscent of the rice Green Revolution. The resulting ideotype performs well under dense planting and provides a valuable genetic resource for high‐yield, mechanized foxtail millet production. ABSTRACT Foxtail millet (Setaria italica) is a drought‐tolerant C4 cereal
Jianzhen Lv, Jinjin Cheng, Zhen Hu, Qian Lan, Yanjun Yang, Chengcheng Pei, Junhao Luo, Zhuang Li, Peiyong Xin, Jijun Yan, Jinfang Chu, Qian Qian, Zhaosheng Kong, Liang Jiang   +13 more
wiley   +1 more source

Seedling growth rate and root traits in the maize Nested Association Mapping (NAM) panel. [PDF]

BMC Res Notes
Montoya-Pimolwatana M, McClellan Maaz T, Kantar M, Muszynski M, Mileyko Y, Prasadh R, Dhungana I, Kiehl K, Ana AH, Nguyen A, Tausaga A, Godfrey A, Nitta AK, Tugade B, JadenYamagata-Santos D, Swantek E, Morrell ES, Kalaiwaa G, Juan GL, Larsen G, Ching IK, Mikasobe-Kealiinohomoku J, Araszewski J, Averion JCM, Strachan K, Torres KA, Botanes K, Wilkes KC, Rigge L, Lo M, Carr N, Brenner N, Johnson O, Malasarte RAB, Noland R, Naldini S, Santos SA, Pierce T, Halpern U, Miguel ZGP, Gan Z, Nguyen NH.   +41 more
europepmc   +1 more source

Charting the Future of Stereoselective Carbohydrate Synthesis: The Essential Role of Cross‐Disciplinary Innovation

Advanced Science, EarlyView.
Cross‐disciplinary endeavors are blossoming across the broad chemical sciences. This perspective provides a glimpse into the rewarding interdisciplinary journey taken by the Charles Loh research group in pioneering the σ‐hole based catalytic glycosylation strategy.
Charles C. J. Loh
wiley   +1 more source

Integration of Genetic and Imaging Data to Detect QTL for Root Traits in Interspecific Soybean Populations. [PDF]

Int J Mol Sci
Islam MS, Lee JD, Song Q, Jo H, Kim Y.
europepmc   +1 more source

A Pan‐Methylome Framework for Population‐Scale Bacterial Epigenomics

Advanced Science, EarlyView.
A scalable quantitative framework unlocks population‐level comparative epigenomics in bacteria. By transforming site‐level data into standardized traits, this approach reconstructs methylation‐informed phylogenies and defines the core epigenome.
Bin Ma, Huimin Gong, Ran Zhuo, Zaixiao Rao, Yanxi Wan, Mingyang Wang, Zahra Zeinalzadeh, Yuan Gao, Aohan Guan, Xinrun Li, Wanting Chen, Xiliang Wang, Yun Wan, Sihua Zhang, Yuncai Xiao, Qi Huang, Paul R. Langford, Xiangru Wang, Rui Zhou, Rui Luo, Hongbo Zhou, Chengliang Zhu, Hui Jin   +22 more
wiley   +1 more source