Standardized precipitation index and nitrogen rate effects on crop yields and risk distribution in maize

Yamoah, Charles F.; Walters, Daniel T.; Shapiro, Charles A.; Francis, Charles; Hayes, Mike

doi:10.1016/s0167-8809(00)00140-7

Cited by 53 publications

(34 citation statements)

References 9 publications

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“…The regression function (using a second order polynomial) was used to determine the spring barley yield models because it closely approximates the nature of the crop-yield water relationship (Ash et al 1992). Further tests showed no improvement of the model results when higher order polynomials were used and are in accordance with the findings of Yamoah et al (2000) and Quiring and Papakryiakou (2003).…”

Section: Evaluation Of the Agricultural Droughtsupporting

confidence: 85%

Agricultural drought and spring barley yields in the Czech Republic

Trnka¹,

Hlavinka²,

Semerádová³

et al. 2007

Plant Soil Environ.

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The relationship between detrended district yields of spring barley and meteorological drought was assessed by Palmer Z-index. We found that the seasonal water balance (April-June) significantly (P = 0.05) influences the spring barley production in 51 out of 62 evaluated districts. Coefficients of correlation varied in individual districts from 0.19 to 0.70, with the highest values being found in southern Moravia. Data analysis revealed the presence of six distinct groups of districts with a specific drought-yield relationship. The most drought-sensitive cluster included five districts in the South East of the country. On the other hand, the districts in Northern Moravia and Silesia belong among the least sensitive to agricultural drought. The study also defined threshold values of seasonal drought (sums of relative Palmer Z-index lower than -8 and -10, respectively), below which medium to severe spring barley yield reductions are very likely, regardless of the district of occurrence.

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Section: Evaluation Of the Agricultural Droughtsupporting

confidence: 85%

Agricultural drought and spring barley yields in the Czech Republic

Trnka¹,

Hlavinka²,

Semerádová³

et al. 2007

Plant Soil Environ.

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“…For this reason, the analysis of short temporal scales, indicative of agricultural drought (Yamoah et al, 2000), is currently of little interest. Meanwhile, the increase in tourist activities and irrigation in the Iberian Peninsula have raised water demands, making hydrological droughts more damaging to the society and the economy, producing water restrictions and losses on irrigated land (Morales et al 2000;Del Moral et al, 2003).…”

Section: Calculation Of Drought Indexmentioning

confidence: 99%

Spatial and temporal analysis of droughts in the Iberian Peninsula (1910–2000)

Vicente‐Serrano

2006

Hydrological Sciences Journal

203

116

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The evolution of droughts in the Iberian Peninsula from 1910 to 2000 is analysed. Fifty-one monthly precipitation series, distributed homogeneously over the region were examined. Drought analysis was carried out by means of the standardized precipitation index, at a 12-month temporal scale. The main drought episodes were identified at the scale of the entire Iberian Peninsula, with the most intense droughts recorded in the 1940s, 1950s, 1980s and 1990s. However, the spatial distribution of drought episodes can be very diverse. The Peninsula was divided into four homogeneous areas according to drought history. These areas are well-defined spatially as the north, northeast, southeast and central/western areas. The main drought episodes usually affected wide areas of the Iberian Peninsula, but sometimes a drought episode affects one region, whilst other areas are subject to humid conditions. The possible causes of the spatial differences in temporal drought behaviour are discussed, and the usefulness of drought regionalization in the context of drought management schemes is highlighted.

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“…There are numerous studies, which employed climatebased drought indices for assessment and monitoring of crop drought. A representative example is Yamoah et al (2000) who used the Standardized Precipitation Index (SPI) for crop yield monitoring and assessment in the Great Plains, USA. More recently, Potopová et al (2015) employed the Standardized Precipitation Evapotranspiration Index (SPEI) to assess drought severity over Moldova.…”

Section: Introductionmentioning

confidence: 99%

Monitoring winter wheat drought threat in Northern China using multiple climate-based drought indices and soil moisture during 2000–2013

Wang

Vicente‐Serrano

Tao

et al. 2016

Agricultural and Forest Meteorology

126

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a b s t r a c tIncreasing drought poses a big threat to food security over recent decades, highlighting the need for effective tools and adequate information for drought monitoring and mitigation. This study analyzed the performance of five climate-based drought indices and soil moisture measurements for monitoring winter wheat drought threat in China. We employed the Standardized Precipitation Index (SPI), the Standardized Precipitation Evapotranspiration Index (SPEI), the Palmer Drought Severity Index (PDSI), the Palmer Z index and the self-calibrated Palmer Drought Severity Index (scPDSI). On average, soil moisture at 50-cm depth correlated better with winter wheat yield during October-December of the previous year of harvest compared to soil moisture at 10-cm and 20-cm depths. Moreover, the 3-layer soil moisture and reference evapotranspiration (ETo) correlated weakly (Pearson's r < 0.3) and even negatively with winter wheat yield. The SPI and SPEI at shorter (1-5 months) timescales during September-December in the previous year of harvest showed higher correlations with winter wheat yield. The SPEI trend in March-June has a significant positive influence on trend in winter wheat yield (r > 0.40, p < 0.05). The climate-based drought indices can facilitate crop drought monitoring in water-limited regions due to the wide-availability of climatic data, particularly in the light of uncertainties arising from the crop model. Among the investigated indices, results revealed that the SPEI is advantageous for drought monitoring over the study area due to its multiscalarity and effective characterization of agricultural droughts.

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Standardized precipitation index and nitrogen rate effects on crop yields and risk distribution in maize

Cited by 53 publications

References 9 publications

Agricultural drought and spring barley yields in the Czech Republic

Agricultural drought and spring barley yields in the Czech Republic

Spatial and temporal analysis of droughts in the Iberian Peninsula (1910–2000)

Monitoring winter wheat drought threat in Northern China using multiple climate-based drought indices and soil moisture during 2000–2013

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