Optimum irrigation schedules for cotton under deficit irrigation conditions

Anaç, M. S.; Ul, Mehmet Ali; Tüzel, I.H.; Anaç, Dilek; Okur, Bülent; Hakerlerler, Hüseyin; Ki̇rda, C.; Moutonnet, P.; Hera, C.; Nielsen, D. R.

doi:10.1007/978-94-011-4752-1_15

Cited by 15 publications

(6 citation statements)

References 12 publications

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“…Barley, barley silage, canola, and soft spring wheat have growth characteristics similar to hard spring wheat, so a k y value of 1.15 was also used for these crops. A seasonal k y value of 1.10 was used for potato (Doorenbos and Kassam, 1979;Ferreira and Goncalves, 2007) and sugar beet (Doorenbos and Kassam, 1979), although a k y value of 1.01 was recently observed for sugar beet in western Europe (Shrestha et al, 2010) and k y values of 1.07 (Moutonnet, 2002) and 1.49 (Anac et al, 1999) have been reported. Hanks (1983) suggested a k y value of 1.05 for alfalfa, since k y values less than 1 are not physically correct and may have resulted from use of limited data and incorrect estimates of ET m and Y m .…”

Section: Yield Response Factorsmentioning

confidence: 99%

Crop Yield and Water Requirement Relationships for Major Irrigated Crops in Southern Alberta

Bennett

Harms

2011

Canadian Water Resources Journal

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Water supplies available for irrigation in southern Alberta are limited. A study was conducted in southern Alberta to develop crop yield and evapotranspiration (ET c ) relationships for major irrigated crops based on current maximum potential crop yield data and improved methods for determination of crop evapotranspiration. Production functions for crop yield and the field water supply, which includes irrigation at 80% efficiency, effective precipitation, and stored soil moisture depletion, were subsequently determined. These empirical relationships may be used by water managers, economists, and producers to examine the economic implications of crop yield reductions from water stress due to limited water supplies, less than optimum (deficit) irrigation management, or variation in evaporative demand from year to year in different agro-climatic areas of southern Alberta. Potential yield estimates for different scenarios may be used with relevant economic information to determine optimum water use for irrigation.Résumé : L'approvisionnement en eau pour l'irrigation dans le sud de l'Alberta est limité. Une étude a été menée dans le sud de l'Alberta pour développer les relations entre le rendement des cultures et l'évapotranspiration (ET c ) pour les principales cultures irriguées fondées sur des données de rendement potentiel maximal actuel ainsi que sur les méthodes améliorées pour la détermination de l'évapotranspiration. Les fonctions de production pour le rendement des cultures et de l'approvisionnement en eau champ, qui comprend l'irrigation à 80% d'efficacité, les précipitations efficace, et la diminution de la réserve en eau du sol, ont été déterminées par la suite. Ces relations empiriques peuvent être utilisées par les gestionnaires de la ressource eau, les économistes et les producteurs pour examiner les conséquences économiques de la réduction des rendements due au stress hydrique associé aux réserves limitées en eau, à la gestion inadéquate (déficit) de l'irrigation ou aux variation du niveau d'évapotranspiration d'une année à l'autre sous les différentes zones agro-climatiques du sud de l'Alberta. Les estimations de rendements potentiels pour différents scénarios peuvent être utilisées en conjonction avec les informations économiques pertinentes pour optimiser la gestion de l'eau d'irrigation. 160Canadian Water Resources Journal/Revue canadienne des ressources hydriques

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Section: Yield Response Factorsmentioning

confidence: 99%

Crop Yield and Water Requirement Relationships for Major Irrigated Crops in Southern Alberta

Bennett

Harms

2011

Canadian Water Resources Journal

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“…In calculating the reference evapotranspiration, the study utilised 10 years (2004 -2014) of monthly maximum and minimum temperature, relative humidity, sunshine hour, and wind speed data obtained from the CLIMWAT 2.0 database as no such data were available in the study locations of the three agroecological zones (Anaç et al, 1999). Figure 1 shows the CLIMWAT 2.0 local station distribution in Nigeria.…”

Section: Climatic Datamentioning

confidence: 99%

Modelling Irrigation Water Requirements at Physiological Growth Stages of Okra Life Cycle Using CROPWAT Model for Derived Savannah and Humid Forest Zones of Nigeria

Aliku

Oshunsanya

2016

Agricultura Tropica Et Subtropica

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Accurate quantification of irrigation water requirement at different physiological growth stages of okra (Abelmoschus esculentus L.) life cycle is important to prevent over or under irrigation. Field experiments were therefore initiated to model okra irrigation water requirements at the four physiological growth stages of okra life cycle using CROPWAT model. Derived savannah 1 (DS1), derived savannah 2 (DS2) and humid forest (HF) occupying 493.36 ha, 69.83 ha and 305.25 ha respectively were used. Some selected soil physical properties coupled with weather parameters were used to develop irrigation water requirements for okra crop. In DS1, the estimated crop co-efficient (Kc) values were 0.30, 0.52, 0.84 and 0.70 for the germination, crop growth, flowering and fruiting stages, respectively. Corresponding Kc values in DS2 were 0.30, 0.54, 0.90 and 0.84 and in the HF were 0.30, 0.56, 0.87 and 0.86 respectively. Daily crop evapo-transpiration values ranged from 1.16 to 3.36, 1.17 to 3.64, and 1.2 to 3.38 mm day-1 for DS1, DS2 and HF respectively with significant (p = 0.05) peak at the flowering stage for the three locations. Sustainable okra cultivation would require maximum daily irrigation water at flowering stage (reproductive phase) to meet the crop physiological needs and evapo-transpiration demand of the atmosphere.

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“…Therefore, irrigation scheduling based on deficit irrigation requires careful evaluation to ensure enhanced efficient use of increasingly scarce irrigation water in this area. The knowledge of proper irrigation scheduling, when to irrigate and how much water to apply, is essential to optimize crop production per unit water and for sustaining irrigated agriculture on permanent footing (Anac et al, 1999). In many deve-loping countries like Ethiopia, irrigation interval turns are mutually agreed and fixed among growers according to a pre-fixed schedule, this situation is no more different in North Gondar zone.…”

Section: Introductionmentioning

confidence: 99%

Deficit irrigation scheduling for potato production in North Gondar, Ethiopia

Demelash¹

2013

Afr. J. Agric. Res.

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Scarcity of water is the most severe constraint for development of agriculture in arid and semi-arid areas. Under this condition, irrigation management has to be improved while still achieving high yield. This study was conducted in North Gondar zone in 2010/2011 to investigate deficit irrigation scheduling on potato yield and yield components. Nine treatment combination: Irrigation frequency based on Cropwat model output, two modified irrigation frequency and two deficit irrigations of 25 and 50% were laid out with three replications in randomized complete block design (RCBD) in factorial combinations. It was found that irrigation scheduling significantly affected yield and some yield components. The highest marketable tuber yields was obtained from 0% deficit irrigation and frequency of F1-2 days (T9) which was 26.33 t ha -1 , whereas 25% deficit irrigation with F1-2 days frequency (T8) gave 25.68 t ha -1 . The lowest marketable yield was 3.4 t ha -1 from T4. The highest water use efficiency (WUE) were obtained from T7 and T8 which were 6.61 and 5.59 kg mm -1 , respectively. Therefore, applying 75% of full irrigation depth throughout the whole growing season with frequency based on Cropwat model scheduling -2 days resulted better potato yield and saved significant depth of water which improved WUE.

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Optimum irrigation schedules for cotton under deficit irrigation conditions

Cited by 15 publications

References 12 publications

Crop Yield and Water Requirement Relationships for Major Irrigated Crops in Southern Alberta

Crop Yield and Water Requirement Relationships for Major Irrigated Crops in Southern Alberta

Modelling Irrigation Water Requirements at Physiological Growth Stages of Okra Life Cycle Using CROPWAT Model for Derived Savannah and Humid Forest Zones of Nigeria

Deficit irrigation scheduling for potato production in North Gondar, Ethiopia

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