Zhicheng Jia
Key Laboratory Of Pratacultural Science
Beijing, 100193, China
Beijing, 100193, China
Last Updated: 09/26/2026
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Found 17 publications
Assembly and comparative analysis of the complete mitochondrial genome of hexaploid oat (Avena sativa).
Journal: BMC plant biology
Published: February 10, 2026
Ubiquitinated proteomics reveals potential epigenetic-energy metabolism mechanisms in senescent ovarian granulosa cells of advanced maternal age.
Journal: Journal of assisted reproduction and genetics
Published: December 31, 2025
Molecular characteristics of follicular fluid in advanced maternal age women with different ovarian reserves: a multi-omics study.
Journal: BMC women's health
Published: November 20, 2025
Age-related mitochondrial energy metabolism reprogramming occurs in granulosa cells during ovarian aging.
Journal: Frontiers in endocrinology
Published: October 16, 2025
Climate-robust evaluation of alfalfa seed maturity via an EMD-guided deep learning framework using multispectral imaging.
Journal: Plant phenomics (Washington, D.C.)
Published: September 18, 2025
MsWRKY49 Modulates Pollen Tube Elongation in Response to Boron Deficiency by Regulating Reactive Oxygen Species Homeostasis in Alfalfa.
Journal: Plant biotechnology journal
Published: June 06, 2025
Integrated multi-omics analysis reveals the role of nitrogen application in seed storage protein metabolism and improvement of inferior grains in smooth bromegrass.
Journal: Frontiers in plant science
Published: April 02, 2025
Genome-wide characterization and expression profiling of FIMBRIN gene family members in response to abiotic stress in Medicago sativa.
Journal: BMC plant biology
Published: February 18, 2025
Non-hormone replacement therapy to overcome premature ovarian insufficiency: advances in natural products and stem cells targeting autophagy.
Journal: Frontiers in endocrinology
Published: February 04, 2025
A novel approach integrating multispectral imaging and machine learning to identify seed maturity and vigor in smooth bromegrass.
Journal: Plant methods
Published: November 11, 2024
Using Machine Learning Methods Combined with Vegetation Indices and Growth Indicators to Predict Seed Yield of Bromus inermis.
Journal: Plants (Basel, Switzerland)
Published: January 31, 2024
Genomic Identification and Expression Profiling of Lesion Simulating Disease Genes in Alfalfa (Medicago sativa) Elucidate Their Responsiveness to Seed Vigor.
Journal: Antioxidants (Basel, Switzerland)
Published: August 17, 2023
Last Updated: 09/26/2026