Water-Yield Relations and Water Use Efficiency of Maize Under Nitrogen Fertigation for Semiarid Environments: Experiment and Synthesis

Gheysari, Mahdi; Loescher, Henry W.; Sadeghi, Sayed-Hossein; Mirlatifi, S M; Zareian, Mohammad Javad; Hoogenboom, Gerrit

doi:10.1016/bs.agron.2014.12.001

Cited by 62 publications

(32 citation statements)

References 117 publications

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“…The irrigation quota was controlled by a ball valve and a volumetric counter in each experimental plot. Irrigation scheduling including timing and amount was based on daily soil water balance measurements (Gheysari et al, 2015; Kloss, Schütze, & Schmidhalter, 2014). Soil samples were taken from depths of 30 and 60 cm (with auger) and placed in the oven for 24 hr at 105°C in order to measure soil moisture using Equation (3) below:

{normalΘ}_{normalm} = (\frac{(M_{W} - M_{S})}{M_{normalS}}) 100,

where

Θ_{m}

(%) is soil moisture content, M w is the mass of wet soil, and M s is the mass of dry soil solids.…”

Section: Methodsmentioning

confidence: 99%

Millet forage yield and silage quality as affected by water and nitrogen application at different sowing dates

Nematpour

Eshghizadeh

Zahedi

et al. 2020

Grass and Forage Science

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This experiment was conducted to evaluate the effects of two irrigation regimes (control and water stress) and two nitrogen (N) levels (0 and 112.5 kg/ha) on forage yield and silage quality in millet. Bastan (Setaria italica (L.) P. Beauv) and Pishahang (Panicum miliaceum) were sown at two different dates during 2015 and 2016. Both cultivars exhibited reduced dry‐matter (DM) yields (45% and 51% in Bastan and Pishahang respectively) due to drought stress. Proline and phenolic contents increased as a result of drought and were significantly and negatively correlated with DM yield and digestibility. Moreover, Pishahang had a reduced acid detergent fibre (ADF) content but improved leaf/stem ratio, digestible dry matter (DDM), relative feed value (RFV), net energy for lactation (NEL), digestibility and silage quality as a result of drought stress, while no significant effects on these traits were observed in Bastan. Silage quality was greatly cultivar‐dependent. Both cultivars had higher levels of DDM, RFV and NEL at early sowing dates. Nitrogen supply had greater positive effects on increasing ash, crude protein (CP) content and DM yield under normal irrigation than under water‐stress conditions. In summary, given the importance of the energy received per unit of forage from an animal husbandry viewpoint and the significance of DM yield per unit area from an agricultural viewpoint, the obtained results might help farmers in choosing not only the best sowing dates but also proper irrigation and N management practices to achieve their quantitative and qualitative objectives in forage production.

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{normalΘ}_{normalm} = (\frac{(M_{W} - M_{S})}{M_{normalS}}) 100,

where

Θ_{m}

(%) is soil moisture content, M w is the mass of wet soil, and M s is the mass of dry soil solids.…”

Section: Methodsmentioning

confidence: 99%

Millet forage yield and silage quality as affected by water and nitrogen application at different sowing dates

Nematpour

Eshghizadeh

Zahedi

et al. 2020

Grass and Forage Science

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show abstract

“…The randomized complete block design in three replications and four irrigation treatments by furrow method, which is the dominant method in maize production in Iran, was employed (Majnooni-Heris et al 2011). Seeds were planted in plots having 5 rows each 14 m long, and on furrows 0.75 cm apart at a depth of 0.07 m. The crop density of 66,000 plant ha −1 was achieved after thinning in both years, which is the common and standard density in the region (Gheysari et al 2015). Maize crops were harvested on November 31, 2003 and December 1, 2004, respectively.…”

Section: Agronomic and Field Management Practicesmentioning

confidence: 99%

Modeling Maize Yield and Soil Water Content with AquaCrop Under Full and Deficit Irrigation Managements

Ahmadi

Mosallaeepour

Kamgar-Haghighi

et al. 2015

Water Resour Manage

100

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The AquaCrop model was used to simulate maize growth and soil water content under full and deficit irrigation managements as 1.2, 1, 0.8, and 0.6 of the potential crop water requirement. Generally, the RMSEs in simulating soil water content in calibration and validation were 0.01-0.039 and 0.012-0.037 m 3 m −3 , respectively, that overall corresponds to 3-14 % error. For the in-season biomass development, the RMSEs in calibration varied between 2.16 and 2.73 Mg ha −1 , while they varied between 1.97 and 5.19 Mg ha −1 in validation for the four irrigation managements. The model showed poor performance for simulating biomass late in the season under deficit irrigation managements. The RMSEs of final grain yield simulation were 0.71 and 1.77 Mg ha −1 that corresponded to 7 and 18 % error in calibration and validation, respectively. Likewise, the RMSEs for simulating the final biomass in calibration and validation were 1.29 and 2.21 Mg ha −1 that equals to 6 and 10 % error, respectively. Results demonstrated that AquaCrop is a useful decision-making tool for investigating deficit irrigations and maize growth in the region. However, in agreement with the findings in earlier studies on AquaCrop, the model showed insufficient accuracy in simulating final grain yield and biomass under moderate to severe water stresses. It is suggested that AquaCrop would benefit of including some calibrating parameters about the root distribution pattern in the soil because it is a water-driven model and highly depends on the accurately simulated water uptake from the soil profile.

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“…Where, θ FC is soil water deficit content at field capacity (m 3 m -3 ), and θ WP is soil water content at wilting point (m 3 m -3 ). The maximum allowed depletion of water (MADW) (mm) from the root zone under no water stress treatment was calculated as follows (Gheysari et al 2015):…”

Section: Irrigation Systemmentioning

confidence: 99%

Selection criteria for assessing drought tolerance in a segregating population of flax (Linum usitatissimum L.)

Asgarinia¹,

Mirlohi²,

Saeidi³

et al. 2016

Can. J. Plant Sci.

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Using plant genotypes adaptable to water-deficit stress is an optimal strategy in sustainable agriculture. This study was conducted to assess the selection criteria for identifying high yielding-drought tolerant F 2 -derived F 3 flax families from a cross between Iranian genotype KO37 and the Canadian genotype SP1066. One hundred and nineteen F 2:3 were evaluated under drought stress and non-stress conditions using an 11*11 lattice design with three replications. Sixteen drought tolerance indices adjusted based on grain yield under drought stress and non-stress conditions were calculated. The presence of high variability for grain yield and irrigation water use efficiency in parental lines and F 2:3 families under both conditions indicated that the F 2:3 population or its advanced generations can be used in selection programs to increase drought tolerance and also to identify quantitative trait loci / genes related to grain yield and drought tolerance in flax. The results of biplot based on the PC 1 and PC 2 and triplot analysis based on STI index and grain yield in both stress and non-stress conditions introduced thirteen families as the most promising families for drought tolerance and therefore, their advanced generations can be used in future breeding programs to improve drought tolerance in flax.

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Water-Yield Relations and Water Use Efficiency of Maize Under Nitrogen Fertigation for Semiarid Environments: Experiment and Synthesis

Cited by 62 publications

References 117 publications

Millet forage yield and silage quality as affected by water and nitrogen application at different sowing dates

Millet forage yield and silage quality as affected by water and nitrogen application at different sowing dates

Modeling Maize Yield and Soil Water Content with AquaCrop Under Full and Deficit Irrigation Managements

Selection criteria for assessing drought tolerance in a segregating population of flax (Linum usitatissimum L.)

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