Impact of the consecutive days of visible wilting on growth and yield during tassel initiation in maize (Zea Mays L.)

Shin, Seong-Hyu; Kim, Pil Joo; Lee, Ju Seok; Go, Tae-Hoon; Shon, Jiyoung; Kang, Shingu; Lee, Jin-Seok; Bae, Hwan Hee; Son, Beom-Young; Shim, Kang-Bo; Yang, Woonho; Woo, Mi-Ok

doi:10.1007/s12892-015-0101-1

Cited by 6 publications

(6 citation statements)

References 15 publications

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“…Depending on the severity or magnitude of the dry spell and the stage of crop growth, the dry spell can cause significant damage to the crop. While dry spell of more than five days is enough to cause a reduction in crop yield, dry spell of more than 15 days can reduce yield up to 50% or cause complete crop failure especially when the crop is at its critical growth stage (Shin et al, 2015). In the study area, the dry spells of greater magnitude like more than 15 days were not common, hence there was low risk of complete crop failure.…”

Section: Pattern Of Dry Periods During the Cropping Seasonsmentioning

confidence: 85%

“…In this study, a dry spell was defined as 'n' days without rainfall sandwiched between rainy days (Kumar and Rao 2005). The 'n' values were taken to be > 5, on the basis that consecutive dry days of more than 5 are enough to cause a significant reduction in crop productivity (Shin et al, 2015). A dry day was taken to be any day that receives less than 1 mm of rainfall (Lazaro et al, 2001).…”

Section: Analysis Of Dry Spells During the Cropping Seasonsmentioning

confidence: 99%

“…Prolonged dry spell occurrences are the main contributor for crop failure in SSA (Shin et al, 2015). The dry spell disrupts crop growth and lowers yield (Mzezewa et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Suitability of different data sources in rainfall pattern characterization in the tropical central highlands of Kenya

Nathan

Felix

Milka

et al. 2020

Heliyon

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Uncertainty in rainfall pattern has put rain-fed agriculture in jeopardy, even for the regions considered high rainfall potential like the Central Highlands of Kenya (CHK). The rainfall pattern in the CHK is spatially and temporally variable in terms of onset and cessation dates, frequency and occurrence of dry spells, and seasonal distribution. Appraisal of the variability is further confounded by the lack of sufficient observational data that can enable accurate characterisation of the rainfall pattern in the region. We, therefore, explored the utilisation of satellite daily rainfall estimates from the National Aeronautics and Space Administration (NASA) for rainfall pattern characterisation in the CHK. Observed daily rainfall data sourced from Kenya meteorological department were used as a reference point. The observation period was from 1997 to 2015. Rainfall in the CHK was highly variable, fairly distributed and with low intensity in all the seasons. Onset dates ranged between mid-February to mid-March and mid-August to mid-October for long rains (LR) and short rains (SR) seasons, respectively. Cessation dates ranged from late May to mid-June and mid-December to late December for the LR and SR, respectively. There was a high probability (93%) of dry spell occurrence. More research needs to be done on efficient use of the available soil moisture and on drought tolerant crop varieties to reduce the impact of drought on crop productivity. Comparison between satellite and observed rain gauge data showed close agreement at monthly scale than at daily scale, with general agreement between the two datasets. Hence, we concluded that, given the availability, accessibility, frequency of estimation and spatial resolution, satellite estimates can complement observed rain gauge data. Stakeholders in the fields of agriculture, natural resource management, environment among others, can utilise the findings of this study in planning to reduce rainfall-related risks and enhance food security.

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Section: Pattern Of Dry Periods During the Cropping Seasonsmentioning

confidence: 85%

Section: Analysis Of Dry Spells During the Cropping Seasonsmentioning

confidence: 99%

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Suitability of different data sources in rainfall pattern characterization in the tropical central highlands of Kenya

Nathan

Felix

Milka

et al. 2020

Heliyon

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“…A dry spell within the season was established for every season. A dry spell was considered to be consecutive dry days of more than five sandwiched between wet days [ 28 ].…”

Section: Methodsmentioning

confidence: 99%

Soil water use efficiency under integrated soil management practices in the drylands of Kenya

Oduor,

Mucheru-Muna,

Mugwe

et al. 2023

Heliyon

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“…Water and nitrogen (N) represent two major limiting factors for maize production [1]. Water stress acts directly on growth and development, photosynthesis, dry mass production; in addition yield [2] might be severely diminished, especially if water deficiency is prolonged [3]. Nitrogen is considered the most crucial nutrient for proper growth and development, as it is the principal regulator of many physiological and biochemical processes, and is strongly linked to chlorophyll content [4][5][6] and quantity of yield [1].…”

Section: Introductionmentioning

confidence: 99%

Selection of Hyperspectral Vegetation Indices for Monitoring Yield and Physiological Response in Sweet Maize under Different Water and Nitrogen Availability

et al. 2022

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This study used hyperspectral reflectance data to evaluate the crop physiological parameters of sweet maize. Principal component analysis (PCA) was applied to identify the wavelengths that primarily contributed to each selected PC. Correlation analysis and multiple linear regression, with a stepwise algorithm, were used to select the best-performing vegetation indices (VIs) for monitoring the yield and physiological response of sweet maize grown under different water and nitrogen availability. The spectral reflectance measurements of crops were taken during the mid-season stage, for two consecutive growing seasons. The multivariate regression results showed that red-edge group indices, such as CARI (Chlorophyll Absorption Reflectance Index), DD (Double Difference Index), REIP (Red-Edge Inflection Point), and Clred-edge (Chlorophyll Red-Edge) indices were good predictors of yield and physiological parameters, confirming the crucial role of the red-edge spectral region that also emerged through PCA. Moreover, DD, REIP, and Clred-edge VIs were able to discriminate transient temporary stress at the mid-season stage, as well as to separate water and N stress levels. Therefore, hyperspectral reflectance VIs can provide valid information to growers, helping them identify and discriminate between different stress conditions.

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Impact of the consecutive days of visible wilting on growth and yield during tassel initiation in maize (Zea Mays L.)

Cited by 6 publications

References 15 publications

Suitability of different data sources in rainfall pattern characterization in the tropical central highlands of Kenya

Suitability of different data sources in rainfall pattern characterization in the tropical central highlands of Kenya

Soil water use efficiency under integrated soil management practices in the drylands of Kenya

Selection of Hyperspectral Vegetation Indices for Monitoring Yield and Physiological Response in Sweet Maize under Different Water and Nitrogen Availability

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