Effect of temperature and water availability during late maturation of the soybean seed on germ and cotyledon isoflavone content and composition

2007 ◽  
Vol 88 (2) ◽  
pp. 218-228 ◽  
Author(s):  
Claudine A Rasolohery ◽  
Monique Berger ◽  
Anatoliy V Lygin ◽  
Vera V Lozovaya ◽  
Randall L Nelson ◽  
...  
Keyword(s):  
Water Availability ◽  
Soybean Seed ◽  
Effect Of Temperature ◽  
Isoflavone Content ◽  
Late Maturation

Effect of Late Sowing on the Isoflavone Content of Soybean Seed in Southern Kyushu

2009 ◽  
Vol 78 (2) ◽  
pp. 250-254 ◽  
Author(s):  
Isao Akagi ◽  
Motoki Nishihara ◽  
Shigehide Ueda ◽  
Akitoshi Yokoyama ◽  
Yuichi Saeki
Keyword(s):  
Soybean Seed ◽  
Isoflavone Content ◽  
Late Sowing

The expansin EXP1 gene in the elongation zone is induced during soybean embryonic axis germination and differentially expressed in response to ABA and PEG treatments

2020 ◽  
pp. 1-9
Author(s):  
Nidia H. Montechiarini ◽  
Luciana Delgado ◽  
Eligio N. Morandi ◽  
Néstor J. Carrillo ◽  
Carlos O. Gosparini
Keyword(s):  
Cell Wall ◽  
Seed Germination ◽  
Water Availability ◽  
Expression Profiles ◽  
Soybean Seed ◽  
Embryonic Axis ◽  
Growth Potential ◽  
Elongation Zone ◽  
Degenerate Primers ◽  
Embryonic Axes

Abstract During soybean seed germination, the expansive growth potential of the embryonic axes is driven by water uptake while cell wall loosening occurs in cells from the elongation zone (EZ). Expansins are regarded as primary promoters of cell wall remodelling in all plant expansion processes, with the expression profiles of the soybean expansins supporting their cell or tissue specificity. Therefore, we used embryonic axes isolated from whole seed and focused on the EZ to study seed germination. Using a suite of degenerate primers, we amplified an abundantly expressed expansin gene at the EZ during soybean embryonic axis germination, which was identified as EXP1 by in silico analyses. Expression studies showed that EXP1 was induced under germination conditions in distilled water and down-regulated by abscisic acid (ABA), which inhibits soybean germination by physiologically restraining expansion. Moreover, we also identified a time window of ABA responsiveness within the first 6 h of incubation in water, after which ABA lost control of both EXP1 expression and embryonic axis germination, thus confirming the early role of EXP1 in the EZ during this process. By contrast, EXP1 levels in the EZ increased even when germination was impaired by osmotically limiting the water availability required to develop the embryonic axes’ growth potential. We propose that these higher EXP1 levels are involved in the fast germination of soybean embryonic axes as soon as water availability is re-established. Taken together, our results show strong EXP1 expression in the EZ and postulate EXP1 as a target candidate for soybean seed germination control.

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

A Population Level Temperature-Dependent Model of Seedling Johnsongrass (Sorghum halepense) Flowering

Weed Science ◽  
1989 ◽  
Vol 37 (3) ◽  
pp. 471-477 ◽  
Author(s):  
David C. Bridges ◽  
James M. Chandler
Keyword(s):  
Water Availability ◽  
Nitrogen Availability ◽  
Nitrogen Concentration ◽  
Population Level ◽  
Effect Of Temperature ◽  
Weibull Function ◽  
Data Sets ◽  
Data Set ◽  
Independent Field ◽  
Temperature Dependent Model

A population level, two-compartment, temperaturedependent model that predicts date of seedling johnsongrass flowering was formulated. The model consisted of a fourparameter poikilotherm rate equation to describe development rate as a function of temperature and a temperature-independent Weibull function to distribute flowering times for the population. Experiments were conducted to determine the effect of temperature, nitrogen availability, and water availability on development of seedling johnsongrass. Development was most sensitive to temperature while the effect of nitrogen concentration and water availability was minimum and inconsistent. The model was tested against three independent field data sets and provided accurate prediction of flowering dates for each data set.

scholarly journals Genomic Regions That Underlie Soybean Seed Isoflavone Content

2001 ◽  
Vol 1 (1) ◽  
pp. 38-44 ◽  
Author(s):  
K. Meksem ◽  
V. N. Njiti ◽  
W. J. Banz ◽  
M. J. Iqbal ◽  
My. M. Kassem ◽  
...  
Keyword(s):  
Linkage Group ◽  
High Performance ◽  
Biological Effects ◽  
Recombinant Inbred Lines ◽  
Soybean Seed ◽  
Soybean Seeds ◽  
Isoflavone Content ◽  
Seed Isoflavone ◽  
Genomic Regions

Soy products contain isoflavones (genistein, daidzein, and glycitein) that display biological effects when ingested by humans and animals, these effects are species, dose and age dependent. Therefore, the content and quality of isoflavones in soybeans is a key to their biological effect. Our objective was to identify loci that underlie isoflavone content in soybean seeds. The study involved 100 recombinant inbred lines (RIL) from the cross of ‘Essex’ by ‘Forrest,’ two cultivars that contrast for isoflavone content. Isoflavone content of seeds from each RIL was determined by high performance liquid chromatography (HPLC). The distribution of isoflavone content was continuous and unimodal. The heritability estimates on a line mean basis were 79% for daidzein, 22% for genistein, and 88% for glycitein. Isoflavone content of soybean seeds was compared against 150 polymorphic DNA markers in a one-way analysis of variance. Four genomic regions were found to be significantly associated with the isoflavone content of soybean seeds across both locations and years. Molecular linkage group B1 contained a major QTL underlying glycitein content (P=0.0001,R 2=50.2%), linkage groupNcontained a QTL for glycitein (P=0.0033,R 2=11.1%) and a QTL for daidzein (P=0.0023,R 2=10.3%) and linkage groupA1contained a QTL for daidzein (P=0.0081,R 2=9.6%). Selection for these chromosomal regions in a marker assisted selection program will allow for the manipulation of amounts and profiles of isoflavones (genistein, daidzein, and glycitein) content of soybean seeds. In addition, tightly linked markers can be used in map based cloning of genes associated with isoflavone content.

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 Isoflavone Content of Kansas Soybeans

2004 ◽  
Vol 2 (4) ◽  
Author(s):  
M Swanson ◽  
M Stoll ◽  
W Schapaugh ◽  
L Takemoto
Keyword(s):  
Cancer Prevention ◽  
Estrogenic Activity ◽  
Positive Impact ◽  
Antioxidant Properties ◽  
Soybean Seed ◽  
Soybean Cultivars ◽  
Isoflavone Content ◽  
Positive Effect ◽  
Different Levels ◽  
Selection Of

Isoflavones occurring in soybean seed have been thought to have a positive effect on the health of humans, especially in cancer prevention. This positive impact may be a result of their antioxidant properties, estrogenic activity, or a combination of mechanisms. The purpose of this study was to quantify and compare different levels of isoflavones in various Kansas soybean cultivars. Seeds of four different cultivars grown in 2001 at three different locations were analyzed. There were significant differences in total and individual amounts of isoflavones across both cultivars and locations. These results demonstrated a large variation in isoflavone content in different cultivars grown in different locations, suggesting that selection of cultivar and growing location are important parameters in optimizing the isoflavone content of soybeans grown in Kansas.

scholarly journals Impact of temperature and water availability on microwave-derived gross primary production

2021 ◽  
Vol 18 (11) ◽  
pp. 3285-3308
Author(s):  
Irene E. Teubner ◽  
Matthias Forkel ◽  
Benjamin Wild ◽  
Leander Mösinger ◽  
Wouter Dorigo
Keyword(s):  
Machine Learning ◽  
Primary Production ◽  
Water Availability ◽  
Gross Primary Production ◽  
Effect Of Temperature ◽  
Data Sets ◽  
Autotrophic Respiration ◽  
Temporal Dynamic ◽  
Machine Learning Model ◽  
The Tropics

Abstract. Vegetation optical depth (VOD) from microwave satellite observations has received much attention in global vegetation studies in recent years due to its relationship to vegetation water content and biomass. We recently have shown that VOD is related to plant productivity, i.e., gross primary production (GPP). Based on this relationship between VOD and GPP, we developed a theory-based machine learning model to estimate global patterns of GPP from passive microwave VOD retrievals. The VOD-GPP model generally showed good agreement with site observations and other global data sets in temporal dynamic but tended to overestimate annual GPP across all latitudes. We hypothesized that the reason for the overestimation is the missing effect of temperature on autotrophic respiration in the theory-based machine learning model. Here we aim to further assess and enhance the robustness of the VOD-GPP model by including the effect of temperature on autotrophic respiration within the machine learning approach and by assessing the interannual variability of the model results with respect to water availability. We used X-band VOD from the VOD Climate Archive (VODCA) data set for estimating GPP and used global state-of-the-art GPP data sets from FLUXCOM and MODIS to assess residuals of the VOD-GPP model with respect to drought conditions as quantified by the Standardized Precipitation and Evaporation Index (SPEI). Our results reveal an improvement in model performance for correlation when including the temperature dependency of autotrophic respiration (average correlation increase of 0.18). This improvement in temporal dynamic is larger for temperate and cold regions than for the tropics. For unbiased root-mean-square error (ubRMSE) and bias, the results are regionally diverse and are compensated in the global average. Improvements are observed in temperate and cold regions, while decreases in performance are obtained mainly in the tropics. The overall improvement when adding temperature was less than expected and thus may only partly explain previously observed differences between the global GPP data sets. On interannual timescales, estimates of the VOD-GPP model agree well with GPP from FLUXCOM and MODIS. We further find that the residuals between VOD-based GPP estimates and the other data sets do not significantly correlate with SPEI, which demonstrates that the VOD-GPP model can capture responses of GPP to water availability even without including additional information on precipitation, soil moisture or evapotranspiration. Exceptions from this rule were found in some regions: significant negative correlations between VOD-GPP residuals and SPEI were observed in the US corn belt, Argentina, eastern Europe, Russia and China, while significant positive correlations were obtained in South America, Africa and Australia. In these regions, the significant correlations may indicate different plant strategies for dealing with variations in water availability. Overall, our findings support the robustness of global microwave-derived estimates of gross primary production for large-scale studies on climate–vegetation interactions.

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