Efficacy of Partial Root Drying Technique for Optimizing Soybean Crop Production in Semi‐arid Regions

Tabrizi, Mahdi Sarai; Parsinejad, Masoud; Babazadeh, Hossein

doi:10.1002/ird.625

Cited by 15 publications

(10 citation statements)

References 13 publications

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“…K cb ini and K cb end reported by those authors are about the same as for the current study. Calibrated K cb mid values are also coherent to the single crop coefficients K c mid reported by Karam et al [3], Tabrizi et al [53] and Payero and Irmak [54]. Thus, results relative to potential K cb and p values confirm those proposed in FAO56 [31].…”

Section: Soil Water Simulation and Models Calibration And Parameterizsupporting

confidence: 86%

Water Use and Yield of Soybean under Various Irrigation Regimes and Severe Water Stress. Application of AquaCrop and SIMDualKc Models

Giménez

Paredes

Pereira

2017

Water

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Data relative to two soybean seasons, several irrigation scheduling treatments, including moderate and severe deficit irrigation, and rain-fed cropping were used to parameterize and assess the performance of models AquaCrop and SIMDualKc, the latter combined with the Stewart's yield model. SIMDualKc applies the FAO56 dual crop coefficient approach for computing and partitioning evapotranspiration (ET) into actual crop transpiration (T c act ) and soil evaporation (E s ), while AquaCrop uses an approach that depends on the canopy cover curve. The calibration-validations of models were performed by comparing observed and predicted soil water content (SWC) and grain yield. SIMDualKc showed good accuracy for SWC estimations, with normalized root mean square error (NRMSE) ≤ 7.6%. AquaCrop was less accurate, with NRMSE ≤ 9.2%. Differences between models regarding the water balance terms were notable, and the ET partition revealed a trend for under-estimation of T c act by AquaCrop, mainly under severe water stress. Yield predictions with SIMDualKc-Stewart models produced NRMSE < 15% while predictions with AquaCrop resulted in NRMSE ≤ 23% due to under-estimation of T c act , particularly for water stressed treatments. Results show the appropriateness of SIMDualKc to support irrigation scheduling and assessing impacts on yield when combined with Stewart's model.

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Section: Soil Water Simulation and Models Calibration And Parameterizsupporting

confidence: 86%

Water Use and Yield of Soybean under Various Irrigation Regimes and Severe Water Stress. Application of AquaCrop and SIMDualKc Models

Giménez

Paredes

Pereira

2017

Water

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“…This approach is increasingly applied to a wide range of crops in many parts of the world (Jensen, 2013; Jovanovic et al, 2010;Nardella et al, 2012;Sarai et al, 2012;Schachtman and Goodger, 2008).…”

Section: Effect Of Drought and Heat Stresses On Plant Growth And Yielmentioning

confidence: 99%

“…Another approach to increase crop WUE and root WUE is partial root drying, an approach using split root techniques, with one drying and one well-watered root half (Davies and Hartung, 2004). This approach is increasingly applied to a wide range of crops in many parts of the world (Jensen, 2013;Jovanovic et al, 2010;Nardella et al, 2012;Sarai et al, 2012;Schachtman and Goodger, 2008).…”

Section: Water and Nutrient Usementioning

confidence: 99%

Effect of drought and heat stresses on plant growth and yield: a review

Lipiec¹,

Doussan²,

Nosalewicz³

et al. 2013

International Agrophysics

469

225

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A b s t r a c t. Drought and heat stresses are important threat limitations to plant growth and sustainable agriculture worldwide. Our objective is to provide a review of plant responses and adaptations to drought and elevated temperature including roots, shoots, and final yield and management approaches for alleviating adverse effects of the stresses based mostly on recent literature. The sections of the paper deal with plant responses including root growth, transpiration, photosynthesis, water use efficiency, phenotypic flexibility, accumulation of compounds of low molecular mass (eg proline and gibberellins), and expression of some genes and proteins for increasing the tolerance to the abiotic stresses. Soil and crop management practices to alleviate negative effects of drought and heat stresses are also discussed. Investigations involving determination of plant assimilate partitioning, phenotypic plasticity, and identification of most stress-tolerant plant genotypes are essential for understanding the complexity of the responses and for future plant breeding. The adverse effects of drought and heat stress can be mitigated by soil management practices, crop establishment, and foliar application of growth regulators by maintaining an appropriate level of water in the leaves due to osmotic adjustment and stomatal performance.K e y w o r d s: water stress, high temperature, root and shoot growth, tolerance mechanisms, management practices INTRODUCTIONPlants are frequently exposed to drought and heat stresses that reduce crop yield worldwide. The combined effect of both heat and drought on yield of many crops is stronger than the effects of each stress alone (Dreesen et al., 2012;Rollins et al., 2013).Agricultural water deficit arises from both insufficient rainfall and soil water during the growing season to sustain a high crop yield (Sekhon et al., 2010;Vadez et al., 2011;2012;). Projections show an increase in intense rain events and at the same time reduction in the number of rain days that leads to increased risk of drought (Trenberth, 2011;Vadez et al., 2011). Therefore, under rainfed conditions water scarcity is one of the most widespread limitations to crop production.A period of dry weather, injurious to crops, is often defined as 'drought' that is related to changes in soil and meteorological conditions and not with plant and tissue hydration. Drought stress occurs when the humidity of the soil and the relative air humidity are low and the ambient temperature is high.Predisposition of plants to maintain a high potential of water in the tissues under drought is called dehydration avoidance, and tolerance that determines plant predisposition to survive water deficiency is called drought resistance (Blum, 2005;Vadez et al., 2011). Molecular biologists often report the effect of an exotic gene towards 'drought tolerance' and advertise its expected value in breeding (Blum, 2005).Heat stress or heat wave is defined as the rise in temperature beyond a threshold level for a period sufficient to cause permanent ...

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“…So, by applying a 35% water deficit, proper results could be obtained for WP. This agrees with different proposed water deficit percentages in different surface irrigation methods (Sepaskhah and Ghasemi, ; Sepaskhah and Hosseini, ; Sarai Tabrizi et al ., ; Sepaskhah and Tafteh, ; Tafteh and Sepaskhah, ).…”

Section: Resultsmentioning

confidence: 99%

Optimization of Irrigation Water Distribution Using the Mga Method and Comparison With a Linear Programming Method

Tafteh

Babazadeh

Ebrahimipak³

et al. 2014

Irrig. and Drain.

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Optimization of irrigation water distribution is an important item for water management in irrigation networks. A linear programming model can have problems, for example when the objective function is based on only one goal. So some methods, for example modelling to generate alternatives (MGA), can improve results. This study presented a schedule for distributing irrigation water as well as an optimal cultivation pattern aiming at maximizing net profit on one side and water productivity (WP) on the other. Since the production function is the most important part of water distribution models, the best available production functions were checked and calibrated. The obtained results revealed that WP could be enhanced by 20-40% using the MGA technique. However, investigation of water shortage conditions showed that a 30-35% water deficit could result in an increase of WP by 54%. Thus, it could be argued that the most important matter in water management in irrigation networks is the simultaneous study of WP and water economic productivity (WEP). Considering both factors, a deficit of 30%, which results in a decrease of profit by 10%, was selected as the best alternative for the economic enhancement of WP in the Qazvin Plain. Copyright © 2014 John Wiley & Sons, Ltd. RÉSUMÉ L'optimisation de la distribution de l'eau d'irrigation est l'élément important pour la gestion de l'eau dans les réseaux d'irrigation. Un modèle de programmation linéaire peut avoir quelques problèmes, quand, par exemple, la fonction objective est basée sur un seul but. Donc, une méthode, comme la modélisation pour générer des alternatives (MGA), peut amener une amélioration. Cette étude présente un calendrier pour la distribution de l'eau d'irrigation ainsi que d'un modèle de culture optimale visant à maximiser le bénéfice net d'un côté et la productivité de l'eau (WP) de l'autre. Puisque la fonction de production est la partie la plus importante de modèles de distribution d'eau, les meilleures fonctions de production disponibles ont été vérifiées et étalonnées. Les résultats obtenus ont révélé que WP pourrait être améliorée de 20-40 % en utilisant la technique MGA. Toutefois, l'enquête des conditions de pénurie d'eau a montré qu'un déficit en eau de 30-35% pourrait se traduire par l'augmentation de WP de 54%. Ainsi, on pourrait faire valoir que la question la plus importante dans la gestion de l'eau dans le réseau d'irrigation est l'étude simultanée de WP et l'efficacité économique de l'eau (WEP). Considérant les deux facteurs, un déficit de 30%, qui se traduit par la diminution du bénéfice de 10%, a été choisi comme la meilleure alternative pour le renforcement économique de WP à Qazvin Plain.

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Efficacy of Partial Root Drying Technique for Optimizing Soybean Crop Production in Semi‐arid Regions

Cited by 15 publications

References 13 publications

Water Use and Yield of Soybean under Various Irrigation Regimes and Severe Water Stress. Application of AquaCrop and SIMDualKc Models

Water Use and Yield of Soybean under Various Irrigation Regimes and Severe Water Stress. Application of AquaCrop and SIMDualKc Models

Effect of drought and heat stresses on plant growth and yield: a review

Optimization of Irrigation Water Distribution Using the Mga Method and Comparison With a Linear Programming Method

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