Natural variation and geographical distribution of seed carotenoids and chlorophylls in 1167 Chinese soybean accessions-Reference-Cited by-同舟云学术

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Natural variation and geographical distribution of seed carotenoids and chlorophylls in 1167 Chinese soybean accessions

Published:2022-10 Issue: Volume: Page:
ISSN:2095-3119
Container-title:Journal of Integrative Agriculture
language:en
Short-container-title:Journal of Integrative Agriculture

Author:

Gebregziabher Berhane S.,ZHANG Sheng-rui,Azam Muhammad,QI Jie,Agyenim-Boateng Kwadwo G.,FENG Yue,LIU Yi-tian,LI Jing,LI Bin,SUN Jun-ming

Publisher

Elsevier BV

Subject

Plant Science,Agronomy and Crop Science,Animal Science and Zoology,Food Animals,Ecology,Biochemistry,Food Science

Reference49 articles.

1. Profiling of seed fatty acid composition in 1025 Chinese soybean accessions from diverse ecoregions;Abdelghany;The Crop Journal,2020

2. Profiling of naturally occurring folates in a diverse soybean germplasm by HPLC-MS/MS;Agyenim-boateng;Food Chemistry,2022

3. Genetic diversity of nutritionally important carotenoids in 94 pea and 121 chickpea accessions;Ashokkumar;Journal of Food Composition and Analysis,2015

4. Seed isoflavone profiling of 1168 soybean accessions from major growing ecoregions in China;Azam;Food Research International,2020

5. Tocopherols in soybean seeds: Genetic variation and environmental effects in field-grown crops;Britz;Journal of the American Oil Chemists’ Society,2008

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1. Construction of Soybean Drought Indicators based on Catastrophic Processes and Its Risk Assessment in Northeast China;2024-09-06

2. Grain nutritional and antioxidant profiling of diverse lentil (Lens culinaris Medikus) genetic resources revealed genotypes with high nutritional value;Frontiers in Nutrition;2024-03-22

3. Identification of genomic region and candidate genes underlying carotenoid accumulation in soybeans using next generation sequencing-based bulk segregant analysis;Journal of Integrative Agriculture;2024-02

4. Microalgae in bioregenerative life support systems for space applications;Algal Research;2024-01

5. Research on weed identification in soybean fields based on the lightweight segmentation model DCSAnet;Frontiers in Plant Science;2023-12-05

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