Interactive effects of water-table depth, rainfall variation, and sowing date on maize production in the Western Pampas

Florio, Eva L.; Mercau, Jorge L.; Jobbágy, Estéban G.; Nosetto, Marcelo D.

doi:10.1016/j.agwat.2014.07.022

Cited by 40 publications

(26 citation statements)

References 23 publications

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“…Literature studies have shown a 7-27% maize yield increase with decreasing water table depth from 0.5 m to 1.5 m in Iowa (Ahmad and Kanwar, 1991;Kalita and Kanwar, 1992;Helmers et al, 2012) and an optimum water table depth for maximizing maize production in other environments (Florio et al, 2014). In our study we did not find a significant correlation between water table depth and yield (P > 0.30; Fig.…”

Section: Predictability Of Root Growth and Water Table Effectscontrasting

confidence: 51%

“…We also hypothesized that air temperature could be a good predictor of root growth given its use in simulation models (Keating et al, 2003;Yang et al, 2017). Finally, we also hypothesized that shallow water tables inhibit root growth because the lack of oxygen reduces roots' ability to take up water and nutrients (Dickin and Wright, 2008;Florio et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

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Maize and soybean root front velocity and maximum depth in Iowa, USA

Ordóñez

Castellano

Hatfield

et al. 2018

Field Crops Research

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Quantitative measurements of root traits can improve our understanding of how crops respond to soil and weather conditions, but such data are rare. Our objective was to quantify maximum root depth and root front velocity (RFV) for maize (Zea mays) and soybean (Glycine max) crops across a range of growing conditions in the Midwest USA. Two sets of root measurements were taken every 10-15 days: in the crop row (in-row) and between two crop rows (center-row) across six Iowa sites having different management practices such as planting dates and drainage systems, totaling 20 replicated experimental treatments. Temporal root data were best described by linear segmental functions. Maize RFV was 0.62 ± 0.2 cm d −1 until the 5th leaf stage when it increased to 3.12 ± 0.03 cm d −1 until maximum depth occurred at the 18th leaf stage (860°Cd after planting). Similar to maize, soybean RFV was 1.19 ± 0.4 cm d −1 until the 3rd node when it increased to 3.31 ± 0.5 cm d −1 until maximum root depth occurred at the 13th node (813.6°C d after planting). The maximum root depth was similar between crops (P > 0.05) and ranged from 120 to 157 cm across 18 experimental treatments, and 89-90 cm in two experimental treatments. Root depth did not exceed the average water table (two weeks prior to start grain filling) and there was a significant relationship between maximum root depth and water table depth (R 2 = 0.61; P = 0.001). Current models of root dynamics rely on temperature as the main control on root growth; our results provide strong support for this relationship (R 2 > 0.76; P < 0.001), but suggest that water table depth should also be considered, particularly in conditions such as the Midwest USA where excess water routinely limits crop production. These results can assist crop model calibration and improvements as well as agronomic assessments and plant breeding efforts in this region.

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Section: Predictability Of Root Growth and Water Table Effectscontrasting

confidence: 51%

Section: Introductionmentioning

confidence: 99%

Maize and soybean root front velocity and maximum depth in Iowa, USA

Ordóñez

Castellano

Hatfield

et al. 2018

Field Crops Research

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“…[Oxygen stress]; In this class, negative correlations with both hydrologic gradients suggests that plant growth is limited by higher precipitation and shallower groundwater, indicating an excess of water with poor drainage conditions. This combination causes root-zone water-logging, which limits root respiration (oxygen stress) and hence growth (Nosetto et al, 2009;Rodríguez-González et al, 2010;Florio et al, 2014;Zipper et al, 2015).…”

Section: Ecohydrological Classesmentioning

confidence: 99%

“…Groundwater converges towards these niches, yielding relatively high water availability, decoupled from the local precipitation (Fan, 2015). If the water table is shallow, precipitation can even become a hindrance for plant growth because it causes root-zone water-logging, limiting root oxygen uptake and hence limiting growth (Bartholomeus et al, 2008;Nosetto et al, 2009;Rodríguez-González et al, 2010;Florio et al, 2014). As such, land drainage conditions can alter the relation between precipitation and plant growth substantially, both positively and negatively.…”

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confidence: 99%

Global distribution of hydrologic controls on forest growth

Roebroek¹,

Melsen²,

Dijke³

et al. 2020

Preprint

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Abstract. Vegetation provides key ecosystem services and is an important component in the hydrological cycle. Traditionally, the global distribution of vegetation is explained through water availability by precipitation. Locally, however, groundwater can aid growth by providing an extra water source (e.g. oases) or hinder growth by presenting a barrier to root expansion (e.g. swamps). In this study we analysed the global correlation between precipitation, groundwater and forest growth, approximated by the fraction of absorbed photosynthetically active radiation, and linked this to climate and landscape position. The results show that at the continental scale, precipitation is the main driver of forest productivity; wetter climates support higher energy absorption and consequentially more growth. But within all climates, landscape position substantially alters the growth patterns both positively and negatively. The influence of the landscape on vegetation growth varies over climate. The results display the importance of analysing vegetation growth in a climate-landscape continuum.

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“…Moreover, the optimal depth of the water table to obtain maximum yield was found to be 2.0 m for corn and sunflower, 1.2-1.5 m for wheat (Kang et al, 2001) and 0.61-0.76 m for beans (Williamson,1968). Florio et al (2014) using analyzing MODIS and Landsat images, stated that maize yield with deep water-tables (>4.0 m) was significantly reduced to be between a quarter and a half of yields with optimum depth (1.5-2.5 m), especially during dry seasons.…”

Section: Introductionmentioning

confidence: 99%