Assessment of the CROPWAT 8.0 software reliability for evapotranspiration and crop water requirements calculations

Вожегова, Р.; Lavrynenko, Y.; Коковіхін, С.В.; Lykhovyd, Pavlo; Biliaieva, I. M.; Drobitko, Antonina; Nesterchuk, V. V.

doi:10.2478/jwld-2018-0070

Cited by 21 publications

(14 citation statements)

References 14 publications

(10 reference statements)

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“…The soil of the experimental site is dark chestnut medium loamy slightly saline with deep groundwater levels. The arable horizon is in the range of 13 Assessment of the CROPWAT 8.0 software reliability for evapotranspiration and crop water requirements calculations / R.A. Vozhehova et al Journal of Water and Land Development. Polish Academy of Sciences (PAN) in Warsaw.…”

Section: Materials and Methods Of The Researchmentioning

confidence: 99%

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Adaptive Capability of Corn Hybrids With Different Methods of Watering and Moisture Supply in the Arid Steppe of Ukraine

Іванів¹,

Лавриненко²,

Lavrynenko³

et al. 2020

Scientific Developments of Ukraine and Eu in the Area of Natural Sciences

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Section: Materials and Methods Of The Researchmentioning

confidence: 99%

“…Artificial irrigation helps to increase production processes, improves the microclimate of the phytocenosis, promotes the efficient use of bioclimatic potential. Technologies for growing corn under different irrigation regimes have been developed, which allows to reveal the genotypic potential of hybrid productivity 13 .…”

Section: Introductionmentioning

confidence: 99%

Adaptive Capability of Corn Hybrids With Different Methods of Watering and Moisture Supply in the Arid Steppe of Ukraine

Іванів¹,

Лавриненко²,

Lavrynenko³

et al. 2020

Scientific Developments of Ukraine and Eu in the Area of Natural Sciences

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“…The term "reference evapotranspiration (ETo) as defined by ALLEN et al [1998] refers to evapotranspiration rate from a well-watered hypothetical grass surface of 0.12 m in crop height, albedo of 0.23 and surface resistance of 70 s m -1 ". ETo is important in determining crop and irrigation water requirement of crops [ALLEN et al 1998;VOZHEHOVA et al 2018], ecological and climate change studies [NISTOR et al 2017], hydrological modeling [SCHNEIDER et al 2007], irrigation scheduling and irrigation design and implementation [SENTELHAS et al 2010]. Solar radiation (Rs) is an important parameter in computing ETo together with other meteorological parameters like wind speed, temperature and relative humidity.…”

mentioning

confidence: 99%

Performance evaluation of solar radiation equations for estimating reference evapotranspiration (ETo) in a humid tropical environment

Ndulue¹,

Onyekwelu²,

Ogbu³

et al. 2019

Journal of Water and Land Development

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Solar radiation (Rs) is an essential input for estimating reference crop evapotranspiration, ETo. An accurate estimate of ETo is the first step involved in determining water demand of field crops. The objective of this study was to assess the accuracy of fifteen empirical solar radiations (Rs) models and determine its effects on ETo estimates for three sites in humid tropical environment (Abakaliki, Nsukka, and Awka). Meteorological data from the archives of NASA (from 1983 to 2005) was used to derive empirical constants (calibration) for the different models at each location while data from 2006 to 2015 was used for validation. The results showed an overall improvement when comparing measured Rs with Rs determined using original constants and Rs using the new constants. After calibration, the Swartman–Ogunlade (R2 = 0.97) and Chen 2 models (RMSE = 0.665 MJ∙m−2∙day−1) performed best while Chen 1 (R2 = 0.66) and Bristow–Campbell models (RMSE = 1.58 MJ∙m−2∙day−1) performed least in estimating Rs in Abakaliki. At the Nsukka station, Swartman–Ogunlade (R2 = 0.96) and Adeala models (RMSE = 0.785 MJ∙m−2∙day−1) performed best while Hargreaves–Samani (R2 = 0.64) and Chen 1 models (RMSE = 1.96 MJ∙m−2∙day−1) performed least in estimating Rs. Chen 2 (R2 = 0.98) and Swartman–Ogunlade models (RMSE = 0.43 MJ∙m−2∙day−1) performed best while Hargreaves–Samani (R2 = 0.68) and Chen 1 models (RMSE = 1.64 MJ∙m−2∙day−1) performed least in estimating Rs in Awka. For estimating ETo, Adeala (R2 =0.98) and Swartman–Ogunlade models (RMSE = 0.064 MJ∙m−2∙day−1) performed best at the Awka station and Swartman–Ogunlade (R2 = 0.98) and Chen 2 models (RMSE = 0.43 MJ∙m−2∙day−1) performed best at Abakaliki while Angstrom–Prescott–Page (R2 = 0.96) and El-Sebaii models (RMSE = 0.0908 mm∙day−1) performed best at the Nsukka station.

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“…В селекції сої набуває актуальності створення сортів інтенсивного типу з урожайністю насіння понад 4,0-4,5 т/га [3]. Така врожайність (в межах 4-5 т/га) може бути реалізована в умовах зрошення півдня України, який характеризується високим забезпеченням тепловими ресурсами, наявністю науково-обґрунтованих технологій вирощування з оптимізованими режимами зрошення та живлення [4]. Саме тому головним чинником підвищення врожайності сої в умовах зрошення постають селекційні розробки в напряму створення сортів із високою продуктивністю.…”

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Variability of the «mass of seeds from a plant» sign in the soybeans hybrids of the different groups of ripeness

Vozgegova¹,

Lavrynenko²,

Bazaliy³

et al. 2019

Fakt. eksp. evol. org.

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Aim. The purpose of the research is to determine the manifestation of the feature “seed weight from a plant” (the, parental forms) and hybrids, to establish the level of variability behind the soybean varieties in the F2–F5 hybrid combinations, to determine the effectiveness of selections for productivity in terms of the “seed weight from a plant” indicator from the hybrid populations of the F2–F5. Methods. The field, selection and genetic, calculation and comparative methods of the research were used. The varieties that are different in terms of fecundity and origin, also hybrids F1 and hybrid populations F2–F5 were studied. Selections on the basis of the “seed weight from a plant” were carried out in the F2–F5 populations. Results. It has been established that in soy characteristic “seed mass from a plant” has significant genotypic variability and has significant differences in varieties of different groups of ripeness, which may be a prerequisite for predicting the effective selection for this factorial trait. A high correlation of this trait with seed yield was also established. The proportion of the families from the selections, that were carried out in the F3 populations, exceeded the seed yield standard and was in the range of 28.0–37.5%. In the second generation of hybrids the efficiency of selection was 1.5–2 times lower. Conclusions. The highest yield of high-yielding genotypes, reached by the “seed mass from a plant” indicator was obtained from the F3 populations. To create the new high-yielding soybean varieties with a 3.5–5.5 t/ha yield under irrigation conditions, it is promising to use in the crossings the variety samples which are contrastive by groups of ripeness and genetic pedigree. Keywords: variety, soybean, hybrid, population, yield, irrigation.

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Assessment of the CROPWAT 8.0 software reliability for evapotranspiration and crop water requirements calculations

Cited by 21 publications

References 14 publications

Adaptive Capability of Corn Hybrids With Different Methods of Watering and Moisture Supply in the Arid Steppe of Ukraine

Adaptive Capability of Corn Hybrids With Different Methods of Watering and Moisture Supply in the Arid Steppe of Ukraine

Performance evaluation of solar radiation equations for estimating reference evapotranspiration (ETo) in a humid tropical environment

Variability of the «mass of seeds from a plant» sign in the soybeans hybrids of the different groups of ripeness

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