Effect of drought and rewatering on photosynthetic physioecological characteristics of soybean

Wang, Lei; Zhang, Tong; Ding, Shengyan

doi:10.1016/s1872-2032(06)60033-4

Cited by 40 publications

(15 citation statements)

References 5 publications

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“…Plants experience soil moisture stress when the rate of transpiration becomes very high or when the water supply to roots become difficult (Reddy et al 2004). Wang et al (2006) observed a strong correlation of stomatal conductance with transpiration compared to net photosynthesis. This could be due to the soil moisture stress-induced abscisic acid (ABA) which is stimulated by soil drying through the transpiration stream (Reddy et al 2004), resulting in stomatal closure.…”

Section: Introductionmentioning

confidence: 99%

Physiological assessment of water deficit in soybean using midday leaf water potential and spectral features

Wijewardana

Alsajri

Irby

et al. 2019

Journal of Plant Interactions

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Drought is one of the major abiotic stresses that limit soybean production worldwide. This study was conducted to determine whether soybean cultivars with divergent growth habits respond differently to drought stress at the vegetative growth stage regarding canopy reflectance, physiological, and gas exchange traits under controlled conditions. Soil moisture content was positively correlated with midday leaf water potential. Pooled over cultivar, photosynthesis and stomatal conductance were highly correlated with midday leaf water potential, while Ci/Ca exhibited a weak positive correlation. These data indicate that, regardless of cultivar, the decrease in net photosynthesis is mainly due to stomatal closure. For both cultivars, drought stress increased soybean canopy reflectance in the visible range of the spectrum but decreased reflectance in the near-infrared region. The quantified physiological traits would be useful to understand plant water relations and canopy structure to help soybean growers to make field management decisions during the growing season.

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Section: Introductionmentioning

confidence: 99%

Physiological assessment of water deficit in soybean using midday leaf water potential and spectral features

Wijewardana

Alsajri

Irby

et al. 2019

Journal of Plant Interactions

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“…Antidrought mechanisms have been studied in model plants as well as major crops, such as wheat (Triticum aestivum L.), maize (Zea mays L.), barley (Hordeum vulgare L.), pea (Pisum sativum L.), field bean (Vicia faba L.), soybean (Glycine max L.), sugar beet (Beta vulgaris L.) and alfalfa (Medicago sativa L.) (Grzesiak et al 1989, 1997, Grzesiak 2001, Hu et al 2006, Wang et al 2006, Chołuj et al 2008, Liu et al 2009, Zhang et al 2015. Plants respond to drought stress through changes at morphological, physiological, biochemical and molecular levels (reviewed in Shao et al 2008).…”

Section: Introductionmentioning

confidence: 99%

Comparative Drought Response in Eleven Diverse Alfalfa Accessions

Anower

Boe

Auger

et al. 2015

J Agronomy Crop Science

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Alfalfa (Medicago sativa L.) production is negatively affected by drought stress. This is particularly true for alfalfa grown on non-irrigated rangelands. Thus, the development of drought-tolerant alfalfa cultivars is of great significance. A greenhouse study was conducted to evaluate 11 alfalfa accessions including several that are adapted to rangeland conditions and two commercial accessions, for their performance under drought condition. Water supply was adjusted based on the transpiration rate of individual plants to compensate for 100, 75, 50 or 25 % of transpirational water loss. We found that RS, a naturalized alfalfa collected from the Grand River National Grassland in South Dakota, showed the best resistance to drought condition. It showed the smallest reduction in stem elongation (36 %), relative growth rate (14 %), and shoot dry mass (40 %) production under the severest drought tested in this study relative to the non-drought treatment. While RS showed less biomass production under well-watered conditions, it produced similar or more shoot biomass under drought conditions compared to other accessions. Associated with the drought resistance or less sensitivity to drought, RS showed greater capability to maintain root growth, shoot relative water content, and leaf chlorophyll content compared to other accessions. Different from other accessions, RS showed increasing water use efficiency (WUE) as water deficit became severe, reaching the greatest WUE among 11 accessions. Our results suggest that RS is a valuable genetic resource that can be used to elucidate physiological and molecular mechanisms that determine drought resistance in alfalfa and to develop alfalfa with improved WUE.

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“…According to Kang, 2 the amount of soil water resources is >50% of the amount of precipitation, and soil water storage amounts is ∼16.5 × 10 12 m or 7.8 times the runoff for the entire Earth. 4,[7][8][9][10][11][12][13][14][15] The Weihe River Basin locates in the hinterland and spreads over three climatic zones, including temperate and warm temperate semidry zone and a warm temperate semihumid zone. 3 However, soil water resource has not been given equal importance with other water resources as defined in a narrower sense (i.e., surface water resources and ground water resources) for a long period of time, and a uniform concept of soil water resources is also lacking.…”

Section: Introductionmentioning

confidence: 99%

Spatially explicit estimation of soil-water resources by coupling of an eco-hydrological model with remote sensing data in the Weihe River Basin of China

Wang

Yang

et al. 2014

J. Appl. Remote Sens

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Downloaded From: http://remotesensing.spiedigitallibrary.org/ on 05/14/2015 Terms of Use: http://spiedl.org/termsAbstract. Soil-water resources are key components for agriculture and have great potential. Strategic and significant efforts are, therefore, required to make full use of soil-water resources, especially in dry or semidry areas. We coupled a soil-water model with remotely sensed data and associated techniques to analyze the spatial-temporal dynamics of soil-water resources in the Weihe River Basin in China. The moderate-resolution imaging spectroradiometer (MODIS), Chinese meteorological satellite precipitation estimation data (FY-2), and global land data assimilation system (GLDAS) products were used for spatial land surface characteristics interpretation and model parameters derivation. The modeling results were compared and validated using data from a nearby observation site. The average soil-water resources of the Weihe River Basin vary between 40 and 100 mm during the simulation period from January to December, with a maximum of 99 mm appearing in August and a minimum of 38 mm in December. Forest land was characterized by large soil-water resources, with an average annual rate of 1094.7 mm. Farmland and grassland exhibited low values, with average annual rates of 986.7 and 893.5 mm, respectively. The results could be taken into consideration for soil-water resources management.

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Effect of drought and rewatering on photosynthetic physioecological characteristics of soybean

Cited by 40 publications

References 5 publications

Physiological assessment of water deficit in soybean using midday leaf water potential and spectral features

Physiological assessment of water deficit in soybean using midday leaf water potential and spectral features

Comparative Drought Response in Eleven Diverse Alfalfa Accessions

Spatially explicit estimation of soil-water resources by coupling of an eco-hydrological model with remote sensing data in the Weihe River Basin of China

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