Effect of Temperature and Soil Moisture Status during Seed Development on Soybean Seed Isoflavone Concentration and Composition

Crop Science ◽  
2005 ◽  
Vol 45 (5) ◽  
pp. 1934-1940 ◽  
Author(s):  
Vera V. Lozovaya ◽  
Anatoliy V. Lygin ◽  
Alexander V. Ulanov ◽  
Randall L. Nelson ◽  
Jean Daydé ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Seed Development ◽  
Soybean Seed ◽  
Effect Of Temperature ◽  
Isoflavone Concentration ◽  
Seed Isoflavone ◽  
Soil Moisture Status

scholarly journals Analysis of miRNAs Targeted Storage Regulatory Genes during Soybean Seed Development Based on Transcriptome Sequencing

Genes ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 408 ◽  
Author(s):  
Jing-Yao Yu ◽  
Zhan-Guo Zhang ◽  
Shi-Yu Huang ◽  
Xue Han ◽  
Xin-Yu Wang ◽  
...  
Keyword(s):  
Expression Pattern ◽  
Seed Development ◽  
Small Rna ◽  
Target Genes ◽  
Soybean Seed ◽  
Regulatory Genes ◽  
Small Rna Sequencing ◽  
Grain Development ◽  
Regulatory Relationship ◽  
Novel Mirna

Soybeans are an important cash crop and are widely used as a source of vegetable protein and edible oil. MicroRNAs (miRNA) are endogenous small RNA that play an important regulatory role in the evolutionarily conserved system of gene expression. In this study, we selected four lines with extreme phenotypes, as well as high or low protein and oil content, from the chromosome segment substitution line (CSSL) constructed from suinong (SN14) and ZYD00006, and planted and sampled at three stages of grain development for small RNA sequencing and expression analysis. The sequencing results revealed the expression pattern of miRNA in the materials, and predicted miRNA-targeted regulatory genes, including 1967 pairs of corresponding relationships between known-miRNA and their target genes, as well as 597 pairs of corresponding relationships between novel-miRNA and their target genes. After screening and annotating genes that were targeted for regulation, five specific genes were identified to be differentially expressed during seed development and subsequently analyzed for their regulatory relationship with miRNAs. The expression pattern of the targeted gene was verified by Real-time Quantitative PCR (RT-qPCR). Our research provides more information about the miRNA regulatory network in soybeans and further identifies useful genes that regulate storage during soy grain development, providing a theoretical basis for the regulation of soybean quality traits.

scholarly journals Root Response to Soil Water Status via Interaction of Crop Genotype and Environment

Agronomy ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 708
Author(s):  
Phanthasin Khanthavong ◽  
Shin Yabuta ◽  
Hidetoshi Asai ◽  
Md. Amzad Hossain ◽  
Isao Akagi ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Root Distribution ◽  
Water Status ◽  
Soil Layer ◽  
Shoot Biomass ◽  
Soil Conditions ◽  
Crop Adaptation ◽  
Soil Moisture Status ◽  
Root Distributions

Flooding and drought are major causes of reductions in crop productivity. Root distribution indicates crop adaptation to water stress. Therefore, we aimed to identify crop roots response based on root distribution under various soil conditions. The root distribution of four crops—maize, millet, sorghum, and rice—was evaluated under continuous soil waterlogging (CSW), moderate soil moisture (MSM), and gradual soil drying (GSD) conditions. Roots extended largely to the shallow soil layer in CSW and grew longer to the deeper soil layer in GSD in maize and sorghum. GSD tended to promote the root and shoot biomass across soil moisture status regardless of the crop species. The change of specific root density in rice and millet was small compared with maize and sorghum between different soil moisture statuses. Crop response in shoot and root biomass to various soil moisture status was highest in maize and lowest in rice among the tested crops as per the regression coefficient. Thus, we describe different root distributions associated with crop plasticity, which signify root spread changes, depending on soil water conditions in different crop genotypes as well as root distributions that vary depending on crop adaptation from anaerobic to aerobic conditions.

scholarly journals Genetic control of soybean seed isoflavone content: importance of statistical model and epistasis in complex traits

2009 ◽  
Vol 119 (6) ◽  
pp. 1069-1083 ◽  
Author(s):  
Juan Jose Gutierrez-Gonzalez ◽  
Xiaolei Wu ◽  
Juan Zhang ◽  
Jeong-Dong Lee ◽  
Mark Ellersieck ◽  
...  
Keyword(s):  
Statistical Model ◽  
Genetic Control ◽  
Complex Traits ◽  
Soybean Seed ◽  
Isoflavone Content ◽  
Seed Isoflavone

scholarly journals Transcriptome Profiling Reveals Spatial-temporal Dynamics of Gene Expression Essential for Soybean Seed Development

2020 ◽  
Author(s):  
Hengyou Zhang ◽  
Zhenbin Hu ◽  
Yuming Yang ◽  
Xiaoqian Liu ◽  
Haiyan Lv ◽  
...  
Keyword(s):  
Seed Development ◽  
Temporal Dynamics ◽  
Expression Patterns ◽  
Soybean Seed ◽  
Transcriptome Profiling ◽  
Transcript Abundance ◽  
Specific Gene ◽  
Oilseed Crop ◽  
Seed Formation ◽  
Developing Seeds

Abstract Background: Seeds are the economic basis of oilseed crops, especially for soybean, thus far the most widely cultivated oilseed crop worldwide. Seed development is accompanied with a multitude of diverse cellular processes and revealing the underlying regulatory activities is critical for seed improvement. Results: Here, we profiled transcriptomes of developing seeds (20, 25, 30, 40 days after flowering) representing key points of seed development from early to full development. We identified a set of highly-abundant genes and highlighted the importance of these genes to support nutrient accumulation and transcriptional regulation in developing seeds. We identified 8,925 differentially expressed genes that exhibited temporal expression patterns over the course and had expression specificities in distinct tissues including seeds and non-seed tissues (roots, stems, leaves). Genes with specificities to non-seed tissues have tissue-specialized roles while remain relatively low transcript abundance in developing seeds, exhibiting their supportive roles spatially for seed development. Co-expression network analysis identified several under-explored genes in soybean that bridge tissue-specific gene modules. Conclusions: Our study provides a global view of gene activities and biological processes critical for seed formation in soybean and prioritizes a set of genes for further study. The results shed insight into the mechanism controlling seed development and storage reserves.

scholarly journals A COMPARISON OF TWO METHODS FOR DETERMINING THE EVAPOTRANSPIRATION AND DRAINAGE COMPONENTS OF THE SOIL WATER BALANCE

1987 ◽  
Vol 67 (1) ◽  
pp. 43-54 ◽  
Author(s):  
C. P. MAULÉ ◽  
D. S. CHANASYK
Keyword(s):  
Soil Moisture ◽  
Water Balance ◽  
Gradient Method ◽  
Field Capacity ◽  
The Other ◽  
Soil Water Balance ◽  
Moisture Loss ◽  
Moisture Extraction ◽  
Soil Moisture Status ◽  
Capacity Method

Two simple techniques for separating soil moisture loss into drainage and evapotranspiration for cropped conditions were compared. The study was conducted during May through September 1983 at Ellerslie, Alberta. One technique, the field capacity method, utilized soil tension at − 4 kPa to demarcate the cessation of drainage; the other technique, the gradient method, utilized changes in soil moisture status relative to fallow conditions, to mark the onset of moisture extraction by roots. Both methods estimated similar amounts of drainage and evapotranspiration for the barley plots. Application and thus proper evaluation of these two methods were limited as more than 83% of the total drainage occurred during a 3-wk period in which only the Penman method for estimating evapotranspiration could be used. Key words: Water balance, drainage, evapotranspiration, field capacity method, gradient method

Drip irrigation affects N2O emission differently depending on soil moisture status in an intensive vegetable production system

2021 ◽  
Author(s):  
Xiuchun Xu ◽  
Di Wu ◽  
Wei Zhang ◽  
Bang Ni ◽  
Xuan Yang ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Drip Irrigation ◽  
Production System ◽  
Nitrate Content ◽  
Site Preference ◽  
Vegetable Production ◽  
Flood Irrigation ◽  
Tomato Production ◽  
Production Region ◽  
Soil Moisture Status

<p>Plastic-shed vegetable production system is becoming the main type of vegetable production in China, while excessive irrigation and fertilization input lead to significant N loss by leaching, runoff, and gaseous N. The current study established a field experiment to investigate the effects of drip irrigation and optimized fertilization on vegetable yield, water and fertilizer efficiencies and N<sub>2</sub>O emission in a typical intensive plastic-shed tomato production region of China. The treatments include CK (no fertilization, flood irrigation), FFP (farmers’ conventional fertilization, flood irrigation), OPT1 (80% of FFP fertilization, flood irrigation), OPT2 (80% of FFP fertilization, drip irrigation). N<sub>2</sub>O isotopocule deltas, including δ<sup>15</sup>N<sup>bulk</sup>, δ<sup>18</sup>O and SP (the <sup>15</sup>N site preference in N<sub>2</sub>O), have been used to investigate microbial pathways of N<sub>2</sub>O production under different treatments. Our results showed: i) optimized fertilization and drip irrigation significantly improved the fertilizer and water use efficiency without reducing tomato yield, ii) compared with flood irrigation, drip irrigation decreased soil WFPS and soil ammonium content, but increased soil nitrate content. When soil moisture was higher than 60%WFPS, drip irrigation led to a decrease of N<sub>2</sub>O emission with lower N<sub>2</sub>O SP signature observed than that of food irrigation, suggesting a reduction of denitrification derived N<sub>2</sub>O. In contrast, drip irrigation significantly increased N<sub>2</sub>O emission and N<sub>2</sub>O SP value when soil moisture status was lower than 55% WFPS, which may be due to the enhanced nitrification or fungal denitrification derived N<sub>2</sub>O.</p>

Sign in / Sign up

Export Citation Format

Share Document