Results 71 to 80 of about 156,625 (312)

Diversification of quantitative morphological traits in wheat

Annals of Botany
Abstract Background and Aims The development and morphology of crop plants have been profoundly altered by evolution under cultivation, initially through unconscious selection, without deliberate foresight, and later by directed breeding.
Shan, Y., Osborne, C.P.
openaire   +3 more sources

Genetic Complexity and Quantitative Trait Loci Mapping of Yeast Morphological Traits

PLoS Genetics, 2007
Functional genomics relies on two essential parameters: the sensitivity of phenotypic measures and the power to detect genomic perturbations that cause phenotypic variations. In model organisms, two types of perturbations are widely used. Artificial mutations can be introduced in virtually any gene and allow the systematic analysis of gene function via
Nogami, Satoru, Ohya, Yoshikazu, Yvert, Gaël   +2 more
openaire   +5 more sources

Quantitative Trait Loci for Morphological Traits and their Association with Functional Genes in Raphanus sativus [PDF]

Frontiers in Plant Science, 2016
Identification of quantitative trait loci (QTLs) governing morphologically important traits enables to comprehend their potential genetic mechanisms in the genetic breeding program. In this study, we used 210 F2 populations derived from a cross between two radish inbred lines (Raphanus sativus) "835" and "B2," including 258 SSR markers were used to ...
Yu, Xiaona, Choi, Su Ryun, Dhandapani, Vignesh, Rameneni, Jana Jeevan, Li, Xiaonan, Pang, Wenxing, Lee, Ji-Young, Lim, Yong Pyo   +7 more
openaire   +3 more sources

Derivation and characterization of retinal pigment epithelium from urine‐derived iPSCs

FEBS Open Bio, EarlyView.
Age‐related macular degeneration causes vision loss via RPE dysfunction and loss. Traditional iPSC therapies rely on invasive biopsies, limiting scalability. Here, we utilize urine‐derived stem cells as an accessible source to generate u‐iPSCs, successfully differentiated into pigmented RPE. This “Urine‐to‐Retina” platform provides a promising path for
Daniella Beiner, Hainan Zhu, Carol Christine Bosholm, Heuy‐Ching Wang, Tracy Criswell, Anthony Atala, Jian‐Xing Ma, Yuanyuan Zhang   +7 more
wiley   +1 more source

ASSIGNING MORPHOLOGICAL TRAITS AS DESCRIPTORS FOR DIFFERENTIATION BETWEEN Jatropha curcas ACCESSIONS

Tropical and Subtropical Agroecosystems, 2020
Background. The morphological characterizations and varietal descriptions of Jatropha curcas do not consider all morphological variability of this species. The phenotypes of J.
Juan Ubaldo Sanchez-Velazquez, Neith Pacheco, Guadalupe Lopez-Puc, Ana Luisa Ramos-Díaz   +3 more
doaj  

Tailoring Li‐ion Storage and Transport in Two‐Dimensional Conjugated Metal‐Organic Frameworks via Precise Nitrogen Incorporation

Advanced Functional Materials, EarlyView.
Two nitrogen‐doped 2D conjugated metal‐organic frameworks (2D c‐MOFs, namely Cu‐Nx‐OHBA, x = 2 or 4) are synthesized, featuring precise nitrogen incorporation via rational ligand design. The Cu‐Nx‐OHBA 2D c‐MOFs are largely tailorable by varying skeletal nitrogen density, with respect to electrical conductivity, Li‐storage capacitance, and Li‐transport
Xiangyu Li, Shaoze Shi, Fucai Cui, Rashid Iqbal, Pengyu Wang, Tianrui Wu, Jingcheng Hao, Renhao Dong   +7 more
wiley   +1 more source

Genetic analysis and qtl mapping of agro-morphological traits in lowland rice (Oryza sativa L.) under drought conditions [PDF]

, 2016
The present study was undertaken to evaluate lowland rice genetic variability associated with agro-morphological traits under drought condition. A set of 250 recombinant inbred lines (RILs) from the cross between rice parental cultivarIR64 (sensitive to ...
Kam, Honore, Konate, Abdourasmane K., Zongo, Adama, Hema, Drissa, Sangaré, Jean Rodrigue, Sanni, Ambaliou, Audebert, Alain   +6 more
core  

Phylogenetic signal of morphological traits.

, 2023
For each morphological trait, the table presents the phylogenetic signal in terms of two metrics–Blomberg’s K [11] and Pagel’s λ [60], along with their p- values.
Adam Mertel (4989893), Richa Tripathi (573970), Justin M. Calabrese (8032763), Amit Reza (16437465), Guohuan Su (6390545)   +4 more
core   +1 more source

Chiral Phase Change Nanomaterials

Advanced Functional Materials, EarlyView.
This work demonstrates reversible, non‐volatile phase transitions in chiral Ge2${\rm Ge}_2$Sb2${\rm Sb}_2$Te5${\rm Te}_5$ (GST) nanohelices for high‐speed optical modulation of chirality and dynamic control of the state of polarization (SOP). The chiral nanostructures are fabricated using a highly directional, wafer‐scale physical vapor deposition ...
Joshua A. Burrow, Md Shah Alam, Riad Yahiaoui, Evan M. Smith, Ryan Laing, Jules Gardener, Thomas A. Searles, Piyush J. Shah, Shivashankar Vangala, Joshua R. Hendrickson, Andrew M. Sarangan, Imad Agha   +11 more
wiley   +1 more source

Morphological traits—metabolite correlation/significance.

, 2012
Correlation between metabolic data as analyzed on dry IL seeds of harvest season I in Akko, Israel and the ILs' morphological traits. The Pearson product-moment correlation was used to calculate all pairwise correlations between morphological traits and ...
David Toubiana (175451), Zoran Nikoloski (175457), Alisdair R. Fernie (143123), Takayuki Tohge (86280), Luigi Cattivelli (114697), Dani Zamir (26678), Leah Rosental (175456), Aaron Fait (175461), Yaniv Semel (175454), Romina Beleggia (175455)   +9 more
core   +1 more source