Modeling sorghum response to irrigation water salinity at early growth stage

Saadat, Saeed; Homaee, Mehdi

doi:10.1016/j.agwat.2015.01.008

Cited by 24 publications

(12 citation statements)

References 37 publications

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“…Others modeled the relationships between salinity and plant yield of durum wheat ( Triticum durum Desf. ; Jalali, Kapourchal, & Homaee, 2017) and sorghum [ Sorghum bicolor (L.) Moench; Saadat & Homaee, 2015] using these functions. Maggio, Raimondi, Martino, and De Pascale (2007) identified yield response of tomato to salinity with piecewise linear functions.…”

Section: Introductionmentioning

confidence: 99%

Modeling tomato evapotranspiration and yield responses to salinity using different macroscopic reduction functions

Yang

Mao

et al. 2020

Vadose Zone Journal

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Plant responses to salinity can be used to manage irrigation with brackish water. This study evaluated effects of brackish water irrigation on tomato (Solanum lycopersicum L.) plants, proposed a new model to describe plant relative evapotranspiration (ET) and relative yield as a function of electrical conductivity of soil saturated paste extract (EC e), and compared the estimations of the new model with four other models (linear model of Mass and Hoffman, and three nonlinear models of van Genuchten, Dirksen, and Homaee). A greenhouse experiment was conducted with five salinity treatments: tap water of EC 0.6, brackish groundwater of EC 2 and 3, and reverse osmosis (RO) of EC 4 and 6 dS m −1. Results indicated no changes in leaf photosynthesis rate (P n), transpiration rate (T r), and stomatal conductance (G s) up to 2 dS m −1 irrigation water salinity. Nonlinear models better described tomato yield and seasonal ET. The proposed new model performed best when compared with four previous models to predict tomato yield and ET responses to salinity. The calculated soil salinity threshold values (EC e *) from the new model were 1.73 dS m −1 for yield and 2.52 dS m −1 for ET. Data from published studies on effects of irrigation water salinity (EC w) on tomato yield and ET were analyzed to validate models. The results showed that the new model was simpler and superior in estimating plant responses to EC w. Tomato is a salt-sensitive crop, and irrigation with brackish waters adversely influences growth and ET.

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Section: Introductionmentioning

confidence: 99%

Modeling tomato evapotranspiration and yield responses to salinity using different macroscopic reduction functions

Yang

Mao

et al. 2020

Vadose Zone Journal

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“…The lines with lower reduction in biomass production under saline stress are defined as salinity tolerant (Burton and Fincher 2014). Nevertheless, the assessment of sorghum genotypes for biomass yield under saline condition has been reported by numerous researchers, (Saadat and Homaee 2015;Ali et al 2014) but the effect of salinity on the biomass or biofuel production has not been extensively studied (Vasilakoglou et al 2011;Srinivasa Rao et al 2010) and no report on the effect of different background of mutation in bmr allele under saline conditions (Srinivasa Rao et al 2012) is assessed. Thus, an attempt to study the effect of wild parents and mutational allele on salinity tolerance was carried.…”

Section: Introductionmentioning

confidence: 99%

Performance of bmr 6 and 12 Sorghum Mutants in Different Wild Backgrounds Under Salinity

Lokesh

et al. 2018

Sugar Tech

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Sorghum is one of the bioenergy crops, with considerable tolerance to salinity. The current work was undertaken to assess the salinity tolerance of brown midrib (bmr) mutant lines and wild parents for biomass composition and potential theoretical ethanol yield (TEY). The variation for salinity levels in field plots was significant; hence, salinity screening under controlled environment was performed. The mutant line N 600 (bmr-12) had performed better under field screening (at 10 dS m -1 ) with fresh stalk yield of 17.3 t ha -1 , dry stalk yield of 7.4 t ha -1 , and grain yield of 2.0 t ha -1 . The performance of bmr-6 and bmr-12 mutant alleles showed that bmr-12 allele, i.e., N 597 and N 600 had performed better than its wild types EHS and Atlas, respectively, for relative fresh and dry biomass index at 20, 40 and 80 days after imposing 150 mM salinity stress. The lines N 597 (13.05 cm 2 g -1 ), N 596 (6.84 cm 2 g -1 ) and N 593 (7.39 cm 2 g -1 ) recorded the highest specific leaf area at 20, 40 and 80 days of stress, respectively. High membrane stability index was recorded in mutants N 596 (bmr-6-85.33%) and N 597 (bmr-12-84.78%) with EHS though under different genetic background under stress. Higher TEY was recorded in N 597 (2219.82 L ha -1 ), N 600 (2159.79 L ha -1 ), N 595 (2019.03 L ha -1 ) and N 598 (1945.33 L ha -1 ) under stressed conditions, with a moderate reduction of 47.85 and 47.50% in 2014 and 2015, respectively, in TEY.Keywords Brown midrib (bmr) Á Biomass Á Salinity Á Sorghum Á Membrane stability index (MSI) Á Theoretical ethanol yield (TEY)

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“…(Van Genuchten and Gupta, 1993) used the database complied by Maas and Hoffman (1997) to derive a single dimensionless curve to describe the salt tolerance of most crops. More recent studies indicate that the these models overestimate the above mentioned salinity threshold value and nonlinear salinity models are more accurate (Homaee et al, 2002;Saadat and Homaee, 2015). These threshold values for salinity are used to calculate the leaching requirement, which is the fraction of irrigation water entering the soil that must flow effectively through and beyond the root zone to prevent a build-up of salinity resulting from the addition of solutes in the water (Van Hoorn and Van Alphen, 2006).…”

Section: Introductionmentioning

confidence: 99%