Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Chenyong Miao"'
Autor:
Michael C. Tross, Mathieu Gaillard, Mackenzie Zwiener, Chenyong Miao, Ryleigh J. Grove, Bosheng Li, Bedrich Benes, James C. Schnable
Publikováno v:
PeerJ, Vol 9, p e12628 (2021)
Selection for yield at high planting density has reshaped the leaf canopy of maize, improving photosynthetic productivity in high density settings. Further optimization of canopy architecture may be possible. However, measuring leaf angles, the widel
Externí odkaz:
https://doaj.org/article/537261f21a2d47d4b023e553c41d332b
Publikováno v:
Water, Vol 14, Iss 21, p 3461 (2022)
To study the influence of dredged sediment transportation on the distribution of short-chain chlorinated paraffins (SCCPs, C10-13), medium-chain chlorinated paraffins (MCCPs, C13-17), and long-chain chlorinated paraffins (LCCPs, C18-28), 62 surficial
Externí odkaz:
https://doaj.org/article/ec8dc148166d44e59fdafe9623cd29db
Autor:
Yufeng Ge, Abbas Atefi, Huichun Zhang, Chenyong Miao, Raghuprakash Kastoori Ramamurthy, Brandi Sigmon, Jinliang Yang, James C. Schnable
Publikováno v:
Plant Methods, Vol 15, Iss 1, Pp 1-12 (2019)
Abstract Background Hyperspectral reflectance data in the visible, near infrared and shortwave infrared range (VIS–NIR–SWIR, 400–2500 nm) are commonly used to nondestructively measure plant leaf properties. We investigated the usefulness of VIS
Externí odkaz:
https://doaj.org/article/4267ba14f8ae4c0192f84cf102f60b80
Publikováno v:
Plant Phenome Journal, Vol 4, Iss 1, Pp n/a-n/a (2021)
Abstract Leaf number and leaf emergence rate are phenotypes of interest to plant breeders, plant geneticists, and crop modelers. Counting the extant leaves of an individual plant is straightforward even for an untrained individual, but manually track
Externí odkaz:
https://doaj.org/article/31b67eeb9bc24795b64747d22d1266a6
Publikováno v:
Plant Direct, Vol 4, Iss 10, Pp n/a-n/a (2020)
Abstract Changes in canopy architecture traits have been shown to contribute to yield increases. Optimizing both light interception and light interception efficiency of agricultural crop canopies will be essential to meeting the growing food needs. C
Externí odkaz:
https://doaj.org/article/a0ba67013cef4fc4a1c4f807dcaac46d
Publikováno v:
Plant Phenomics, Vol 2020 (2020)
This study describes the evaluation of a range of approaches to semantic segmentation of hyperspectral images of sorghum plants, classifying each pixel as either nonplant or belonging to one of the three organ types (leaf, stalk, panicle). While many
Externí odkaz:
https://doaj.org/article/a22a90e7e6ca4be2b9c5cae0c69c3b51
Autor:
Haibao Tang, Pengxi Wang, Chenyong Miao, Zhiyong Chen, Jinlei Han, Kai Wang, Ruoxi Wu, Qiongli Wang, James C. Schnable, Guangrun Yu, Yihang Dao, Qingfang Lin
Publikováno v:
Plant Cell
Deep sequencing of DNase-I treated chromatin (DNase-seq) can be used to identify DNase I-hypersensitive sites (DHSs) and facilitates genome-scale mining of de novo cis-regulatory DNA elements. Here, we adapted DNase-seq to generate genome-wide maps o
Autor:
Stefan Hey, Lisa Coffey, Frank Hochholdinger, Patrick S. Schnable, Yu Yang, James C. Schnable, Chenyong Miao, Baskar Ganapathysubramanian, Zihao Zheng, Brandi Sigmon, Huyu Liu, Talukder Z. Jubery
Publikováno v:
Plant Physiology. 182:977-991
Determining the genetic control of root system architecture (RSA) in plants via large-scale genome-wide association study (GWAS) requires high-throughput pipelines for root phenotyping. We developed Core Root Excavation using Compressed-air (CREAMD),
Autor:
Sirjan Sapkota, Patrick S. Schnable, Richard Boyles, Stephen Kresovich, Chenyong Miao, Maria G. Salas Fernandez, Marcin Grzybowski, Ravi V. Mural, Alyssa Damke, James C. Schnable, Brandi Sigmon
Publikováno v:
Genetics. 218(3)
Community association populations are composed of phenotypically and genetically diverse accessions. Once these populations are genotyped, the resulting marker data can be reused by different groups investigating the genetic basis of different traits
Publikováno v:
Plant Biotechnology Journal
Summary Association studies use statistical links between genetic markers and the phenotype variation across many individuals to identify genes controlling variation in the target phenotype. However, this approach, particularly conducted on a genome