Transcriptomics and Physiological Analyses of Soybean Stay-Green Syndrome
Stay-green syndrome (SGS) is an important factor that causes soybean (<i>Glycine max</i>) yield reduction. Despite progress being made, the regulatory mechanism remains largely unclear. Therefore, in this study, an SGS-sensitive soybean variety, “HD0702”, was employed to investigate the...
Saved in:
Main Authors: | Dagang Wang, Yanan Wang, Ruidong Sun, Yong Yang, Wei Zhao, Guoyi Yu, Yueying Wang, Feng Wang, Lin Zhou, Zhiping Huang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
|
Series: | Agronomy |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4395/15/1/82 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Stover yield, morphological fractions and nutrient composition of five stay-green sorghum (Sorghum biochar L.) varieties at the physiological maturity stage
by: Abuye Tulu, et al.
Published: (2025-01-01) -
GmWRKY33a is a hub gene responsive to brassinosteroid signaling that suppresses nodulation in soybean (Glycine max)
by: Mingliang Yang, et al.
Published: (2025-01-01) -
Physiological and transcriptomic analysis of the effect of overexpression of the NTPIP2;4 gene on drought tolerance in tobacco
by: Xu Luo, et al.
Published: (2025-01-01) -
The myometrial transcriptome changes in mares with endometrosis
by: Ewa Monika Drzewiecka, et al.
Published: (2025-01-01) -
The design of experiments for the transcriptome studies by high-throughput sequencing methods
by: P. N. Menshanov, et al.
Published: (2016-05-01)