Water requirement and crop coefficients of sorghum in Apodi Plateau

Lima, João Guilherme Araújo; Espínola, José; Medeiros, José F. de; Viana, Paula; Maniçoba, Rudah Marques

doi:10.1590/1807-1929/agriambi.v25n10p684-688

Cited by 3 publications

(5 citation statements)

References 12 publications

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“…The average Kc -ini-local value of (0.55) measured in this study was equal to that of the Kc -ini values of 0.55 reported by Bashir et al (2008). However, the average Kc -ini-local value obtained from this study was higher than the Kc values developed by Tyagi et al (2000) and Lima et al (2021). In general, this variation of Kc values between the locally developed, the FAO adjusted and other studies could be attributable to the difference in local climatic conditions, growing window, soil texture, and management practice.…”

Section: Comparison With Fao Adjusted and Other Studiescontrasting

confidence: 46%

“…The average locally developed Kc -mid-local for this study was lower than the sorghum Kc -mid values of 1.24 and 1.18 obtained by Tyagi et al (2000) and Shenkut et al (2013), respectively. Sorghum average locally measured Kc values (Kc -mid-local ) were higher than the Kc -mid values of 0.99, 1.0, 1.05, and 1.1 reported by Lima et al (2021), Piccinni et al (2009), Howell et al (2006), andAllen et al (1998), respectively. However, a similar sorghum Kc -mid-local value of 1.15 was obtained by Bashir et al (2008) in Sudan, Gezira, using a satellite-based energy balance model.…”

Section: Comparison With Fao Adjusted and Other Studiesmentioning

confidence: 57%

“…However, those reported Kc values have been considerably different from the site-specific Kc values. Other researchers have reported on sorghum crop coefficient (Kc) values (Bashir et al, 2008; Howell et al, 2006; Lima et al, 2021; Piccinni et al, 2009; Shenkut et al, 2013; Tyagi et al, 2000). Nevertheless, depending on local weather conditions, soil texture, and duration of the crop, the sorghum Kc values obtained from the above studies significantly vary from place to place.…”

Section: Introductionmentioning

confidence: 99%

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Evapotranspiration and Crop Coefficient of Sorghum (Sorghum bicolor L.) at Melkassa Farmland, Semi-Arid Area of Ethiopia

Negash,

Dirirsa Bayisa,

Tefera

et al. 2023

Air, Soil and Water Research

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Sorghum has an enormous role in the economy of sorghum-growing nations. Supplying a precise amount of water to a crop based on crop needs is the main agenda in implementing water-saving agriculture. Non-weighing type lysimeters were used to determine actual crop evapotranspiration and crop coefficient of sorghum at the experimental farm of Melkassa Agricultural Research Center situated in the semi-arid area of Ethiopia. Soil-water balance approaches were applied to obtain actual crop evapotranspiration, while the Penman-Monteith technique was used to determine reference evapotranspiration. Growth stages-wise crop coefficient was computed as a ratio of actual crop evapotranspiration to reference evapotranspiration. The total seasonal sorghum actual crop evapotranspiration during the 2017 and 2018 experimental years was 358.6 and 377.54 mm, respectively. The 2 years average sorghum actual crop evapotranspiration was 368.07 mm. The mean locally developed actual crop coefficient values of 0.55, 1.15, and 0.59 were observed for the initial, mid, and end-season, respectively. The FAO-adjusted crop coefficient values for mid and end-season were 1.01 and 0.52, respectively. The developed Kc values considerably differed from the FAO-adjusted Kc values. So, the determination of actual crop evapotranspiration and crop coefficient for crop growth at local climate conditions is vital for decision-making concerning water management in the area where irrigation is practiced.

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Section: Comparison With Fao Adjusted and Other Studiescontrasting

confidence: 46%

Section: Comparison With Fao Adjusted and Other Studiesmentioning

confidence: 57%

Section: Introductionmentioning

confidence: 99%

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Evapotranspiration and Crop Coefficient of Sorghum (Sorghum bicolor L.) at Melkassa Farmland, Semi-Arid Area of Ethiopia

Negash,

Dirirsa Bayisa,

Tefera

et al. 2023

Air, Soil and Water Research

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“…The results showed that the changes in K c were well explained by the changes in the NDVI in all the methods [37]. Other studies were performed on crops such as wheat [38,39], maize [40], sorgum [41], and grapes [42]. The overall conclusion of these studies was the great strength of the reflectance-based models from the point of view of crop irrigation management.…”

Section: Introductionmentioning

confidence: 82%

A Remote-Sensing-Assisted Estimation of Water Use in Rice Paddy Fields: A Study on Lis Valley, Portugal

2023

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Rice culture is one of the most important crops in the world, being the most consumed cereal grain (755 million tons in 2020). Since rice is usually produced under flooding conditions and water performs several essential functions for the crop, estimating its water needs is essential. Remote sensing techniques have shown effectiveness in estimating and monitoring the water use in crop fields. An estimation from satellite data is a challenge, but could be very useful, in order to spatialize local estimates and operationalize production models. This study intended to derive an approach to estimate the actual crop evapotranspiration (ETa) in rice paddies from a temporal series of satellite images. The experimental data were obtained in the Lis Valley Irrigation District (central coast of Portugal), during the 2019 to 2021 rice growing seasons. The average seasonal ETa (FAO56) resulted 586 ± 23 mm and the water productivity (WP) was 0.47 ± 0.03 kg m−3. Good correlations were found between the crop coefficients (Kc) proposed by FAO and the NDVI evolution in the control rice fields, with R2 ranging between 0.71 and 0.82 for stages II+III (development + middle) and between 0.76 and 0.82 for stage IV (late). The results from the derived RS-assisted method were compared to the ETa values obtained from the surface energy balance model METRIC, showing an average estimation error of ±0.8 mm d−1, with a negligible bias. The findings in this work are promising and show the potential of the RS-assisted method for monitoring ETa and water productivity, capturing the local and seasonal variability in rice growing, and then predicting the rice yield, being a useful and free tool available to farmers.

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“…A list of the articles used in this study is provided as supplementary data, Frequences. References [6,12,14,15,17,18,[20][21][22][23][24][26][27][28]30,31,52,66,67,84,86,94,99,[105][106][107][108][109][110][111][112][113][114][115][116][117][118][119][120][121][122][123] Data Availability Statement: The data will be availed upon request from the first author. The first author's contact details are detailed in the names section of tis manuscript.…”

Section: Supplementary Materialsmentioning

confidence: 99%

A Systematic Review of UAV Applications for Mapping Neglected and Underutilised Crop Species’ Spatial Distribution and Health

Abrahams,

Sibanda,

Dube

et al. 2023

Remote Sensing

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Timely, accurate spatial information on the health of neglected and underutilised crop species (NUS) is critical for optimising their production and food and nutrition in developing countries. Unmanned aerial vehicles (UAVs) equipped with multispectral sensors have significantly advanced remote sensing, enabling the provision of near-real-time data for crop analysis at the plot level in small, fragmented croplands where NUS are often grown. The objective of this study was to systematically review the literature on the remote sensing (RS) of the spatial distribution and health of NUS, evaluating the progress, opportunities, challenges, and associated research gaps. This study systematically reviewed 171 peer-reviewed articles from Google Scholar, Scopus, and Web of Science using the PRISMA approach. The findings of this study showed that the United States (n = 18) and China (n = 17) were the primary study locations, with some contributions from the Global South, including southern Africa. The observed NUS crop attributes included crop yield, growth, leaf area index (LAI), above-ground biomass (AGB), and chlorophyll content. Only 29% of studies explored stomatal conductance and the spatial distribution of NUS. Twenty-one studies employed satellite-borne sensors, while only eighteen utilised UAV-borne sensors in conjunction with machine learning (ML), multivariate, and generic GIS classification techniques for mapping the spatial extent and health of NUS. The use of UAVs in mapping NUS is progressing slowly, particularly in the Global South, due to exorbitant purchasing and operational costs, as well as restrictive regulations. Subsequently, research efforts must be directed toward combining ML techniques and UAV-acquired data to monitor NUS’ spatial distribution and health to provide necessary information for optimising food production in smallholder croplands in the Global South.

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Water requirement and crop coefficients of sorghum in Apodi Plateau

Cited by 3 publications

References 12 publications

Evapotranspiration and Crop Coefficient of Sorghum (Sorghum bicolor L.) at Melkassa Farmland, Semi-Arid Area of Ethiopia

Evapotranspiration and Crop Coefficient of Sorghum (Sorghum bicolor L.) at Melkassa Farmland, Semi-Arid Area of Ethiopia

A Remote-Sensing-Assisted Estimation of Water Use in Rice Paddy Fields: A Study on Lis Valley, Portugal

A Systematic Review of UAV Applications for Mapping Neglected and Underutilised Crop Species’ Spatial Distribution and Health

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