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More extreme and frequent drought periods reduced crop production and altered stable isotope ratios of C and N in plants Cover

More extreme and frequent drought periods reduced crop production and altered stable isotope ratios of C and N in plants

Open Access
|Oct 2023

Figures & Tables

Figure 1.

Period of cover/irrigation (black line) and precipitation and irrigation applied to the lysimeter soil from 2017 until 2019. From 2018 onward, the variation of irrigation – the minimum (light gray) and the maximum (black) on lysimeter replicates – besides the average (dark gray) irrigation is illustrated.

Abbildung 1. Folienabdeckung der Lysimeteranlage und Bewässerung (schwarze Linie) sowie die akkumulierte Niederschlags- und Bewässerungsmenge in den Jahren 2017, 2018 und 2019. Ab 2018 wurde die Schwankung - Minimum (hellgrau), Maximum (schwarz), Mittelwert (dunkelgrau) – der Lysimeterbewässerung dargestellt.

Table 1.

Crop rotation and management of the lysimeters

Tabelle 1. Fruchtfolge und Bewirtschaftung der Lysimeteranlage

CropSowingHarvestCrop residue management
Spring wheat (Triticum turgidum subsp. durum (Desf.) Husn) cv. Floradur04.04.201720.07.2017Crop residues removed
White mustard (Sinapis alba L.) catch crop24.08.201707.03.2018Mustard residues were mulched and incorporated into the soil on 09.04.2018
Spring barley (Hordeum vulgare L. cv. Cerbinetta)09.04.201823.07.2018Crop residues removed
Winter wheat (Triticum aestivum L.) cv. Capo11.10.201803.07.2019Crop residues incorporated
Table 2.

Application rates of N fertilizer in kg N ha−1 dependent on the soil type (calcaric Phaeozem - PS; calcic Chernozem – Ch; gleyic Phaeozem – Pg)

Tabelle 2. Stickstoffdüngung in kg N ha−1 angepasst an den Bodentyp (calcaric Phaeozem - PS; calcic Chernozem – Ch; gleyic Phaeozem – Pg)

Fertilization datePgPsCh
04.04.2017554055
08.05.2018505050
20.03.2019403540
16.04.2019654565
16.05.2019454045
Table 3.

Harvests of cultivated crops and weeds per plant species and year for the different soil types and precipitation treatments in g m−2

Tabelle 3. Ernteertrag (g m−2) von Getreide, Zwischenfrucht und Beikräutern aus den Jahren 2017, 2018 und 2019 für die verschiedenen Bodentypen und Niederschlagsszenarien

Crop (year)Gleyic PhaeozemCalcaric PhaeozemCalcic Chernozem
CurrentPredictedCurrentPredictedCurrentPredicted
Spring wheat (2017)112 (19)35 (4)150 (38)73 (56)81 (19)33 (30)
Mustard (2017–2018)351 (38)360 (43)199 (63)177 (17)247 (88)351 (81)
Spring barley (2018)542 (56)352 (56)247 (104)145 (122)327 (68)249 (44)
Weed (2018)119 (47)104 (53)121 (36)100 (40)118 (88)70 (27)
Winter wheat (2019)953 (119)562 (118)456 (12)242 (83)625 (140)564 (37)
Weed (2019)12 (10)6 (7)33 (16)3 (0)35 (14)8 (9)

[i] Given are the average values (n = 3; standard deviation in brackets) of aboveground dry plant biomass.

Table 4.

Two-way ANOVA table of the impact of soil and precipitation on the plant biomass of cash and catch crops, grain yield, and weeds in the years 2017–2019

Tabelle 4. 2-Wege-ANOVA-Tabelle zum Einfluss von Boden und Niederschlag auf die Pflanzenbiomasse von Haupt- und Zwischenfrüchten, Ertrag und Beikräuter für die Jahre 2017 bis 2019

ParameterUnitSoilPrecipitation
FpFp
Spring wheatg m−24.47/PS0.03519.6/curr<0.001
- Graing m−22.600.11512.8/curr0.004
- Strawg m−26.17/PS0.01419.2/curr<0.001
Mustardg m−212.00.0011.140.306
Spring barleyg m−212.4/Pg0.0018.76/curr0.012
- Graing m−212.2/Pg0.0018.73/curr0.012
- Strawg m−24.09/Pg0.0446.97/curr0.022
Weedg m−20.2080.8151.290.279
Winter wheatg m−218.6/Pg<0.00116.3/curr0.002
- Graing m−228.6/Pg<0.00127.6/curr<0.001
- Strawg m−214.3/Pg<0.0019.15/curr0.011
Weedg m−22.270.14617.0/curr0.001

[i] F indicates the mean square of the treatment divided by the mean square of the residuals and p is the significance value. The treatment (soil and precipitation) with the higher value is indicated after F. Values with p ≤ 0.05 are highlighted in bold. Pg – gleyic Phaeozem; Ps – calcaric Phaeozem; Ch – calcic Chernozem; curr – current precipitation scenario; pre – predicted precipitation scenario;

Figure 2.

Grain yield of spring wheat (2017), spring barley (2018), and winter wheat (2019) for the different soil types and precipitation treatments in g m−2. Given are the arithmetic mean values (n = 3), and the error bars represent the standard deviation.

Abbildung 2. Ertrag von Sommerweizen (2017), Sommergerste (2018) und Winterweizen (2019) für die verschiedenen Bodentypen und Niederschlagsszenarien in g m−2. Gegeben sind die arithmetischen Mittelwerte (n=3) und die Standardabweichung als Fehlerbalken.

Table 5.

Delta13C values of cultivated crops per plant species and year for the different soil types and precipitation treatments in ‰

Tabelle 5. Delta13C Werte der Kulturpflanzen pro Jahr für die verschiedenen Bodentypen und Niederschlagsszenarien in ‰

Crop (year)/partGleyic PhaeozemCalcaric PhaeozemCalcic Chernozem
CurrentPredictedCurrentPredictedCurrentPredicted
Spring wheat (2017)/grain−25.3 (0.6)−23.6 (0.8)−24.8 (0.8)−23.7 (0.4)−25.1 (1.0)−24.4 (1.0)
Spring wheat (2017)/straw−27.2 (1.0)−26.0 (0.3)−26.9 (0.3)−26.0 (0.4)−26.5 (0.6)−25.5 (0.3)
Spring barley (2018)/grain−27.1 (0.2)−26.0 (0.3)−25.2 (1.0)−24.6 (0.7)−27.9 (0.4)−27.5 (0.3)
Spring barley (2018)/strawn.d.n.d.−26.5 (0.3)−25.7 (0.2)−28.0 (0.3)−27.1 (0.1)
Winter wheat (2019)/grain−26.4 (0.1)−24.6 (0.1)−24.4 (0.1)−23.6 (0.9)−26.9 (0.8)−25.1 (0.0)
Winter wheat (2019)/straw−28.3 (0.8)−27.5 (0.4)−27.6 (0.5)−26.7 (0.3)−28.2 (0.4)−27.6 (0.6)

[i] Given are the average values (n = 3; standard deviation in brackets) n.d. not determined

Figure 3.

Grain δ15N values of spring wheat (2017), spring barley (2018), and winter wheat (2019) for the different soil types and precipitation treatments in ‰. Given are arithmetic mean values (n = 3), and the error bars represent the standard deviation.

Abbildung 3. Korn δ15N Werte von Sommerweizen (2017), Sommergerste (2018) und Winterweizen (2019) für die verschiedenen Bodentypen und Niederschlagsszenarien in ‰. Gegeben sind die arithmetischen Mittelwerte (n = 3) und die Standardabweichung als Fehlerbalken.

Supplemental Table 1.

Chemical and physical soil characteristics (n = 6) of gleyic Phaeozem (Pg), sandy calcaric Phaeozem (Ps), and calcic Chernozem (Ch) in the upper 10 cm.

Ergänzungstabelle 1. Chemische und physikalische Bodeneigenschaften (n = 6) des gleyic Phaeozem (Pg), des sandigen calcaric Phaeozem (Ps) und des calcic Chernozem (Ch) in den oberen 10 cm.

ParameterPgPsCh
pH7.92 ± 0.047.93 ± 0.037.94 ± 0.03
CaCO3 (%)29.0 ± 1.013.9 ± 0.420.9 ± 1.0
Total organic C (%)2.32 ± 0.091.93 ± 0.122.91 ± 0.04
Total N (%)0.211 ± 0.0120.102 ± 0.0050.227 ± 0.005
Available N (mg/kg/7 d)57.9 ± 5.737.5 ± 5.559.2 ± 4.5
Available P (mg/kg)62.5 ± 5.2134.3 ± 3.881.0 ± 6.2
Available K (mg/kg)82.02 ± 13.557.0 ± 8.573.5 ± 8.0
CEC (cmolc/kg)25.9 ± 1.213.8 ± 0.428.9 ± 0.3
Ca (% from CEC)76.5 ± 1.478.1 ± 0.778.4 ± 1.0
Mg (% from CEC)19.8 ± 1.218.0 ± 0.618.6 ± 0.9
K (% from CEC)1.1 ± 0.11.5 ± 0.20.9 ± 0.1
Na (% from CEC)2.5 ± 0.42.4 ± 0.42.1 ± 0.3
Aggregate stability (%)21.3 ± 5.523.2 ± 8.530.7 ± 6.8

[i] Available N determined using anaerobic incubation (ÖNORM L1204); Available K and P determined using a calcium lactate acetate extraction; CEC = cation exchange capacity determined using BaCl2 extraction; H, Mn, Fe, and Al were not detected in the BaCl2 extractant.

Supplemental Table 2.

Three-way ANOVA tables of the overall impact of soil, precipitation, and year (2017, 2018, and 2019) on crop yield, carbon and nitrogen content, and carbon and nitrogen isotope signature

Ergänzungstabelle 2. 3-Wege-ANOVA-Tabellen der Auswirkungen von Boden, Niederschlag und Jahr (2017, 2018 und 2019) auf Ernteertrag, Kohlenstoff- und Stickstoffgehalt sowie Kohlenstoff- und Stickstoffisotopensignatur.

ParameterUnitSoilPrecipitationYear
FpFpp
Cropg m−225.8/Pg, Ch<0.00134.1/curr<0.001<0.001
- Graing m−230.9/Pg, Ch<0.00142.9/curr<0.001<0.001
- Strawg m−216.4/Pg<0.00120.5/curr<0.001<0.001
Harvest index2.0040.1507.98/curr0.0080.031
Weed**g m−20.080.9243.750.065<0.001
Grain N%0.760.4740.600.4440.005
Straw N*%0.790.46112.3/pre0.001<0.001
Grain δ15N40.3/Pg<0.0016.09/curr0.019<0.001
Straw δ15N*11.0/Ch<0.0010.160.688<0.001
Grain C%4.19/PS, Ch0.0240.2480.6620.061
Straw C*%5.94/PS0.0060.500.485<0.001
Grain δ13C28.4/PS<0.00133.8/pre<0.001<0.001
Straw δ13C*10.2/PS<0.00138.7/pre<0.001<0.001

F indicates the mean square of the treatment divided by the mean square of the residuals and p is the significance value. The treatment (soil and precipitation) with the higher value is indicated after F. Values with p ≤ 0.05 are highlighted in bold.

* Pg not determined in 2018;

** not collected in 2017; Pg – gleyic Phaeozem; PS – sandy Phaeozem; Ch – Chernozem; curr – current precipitation scenario; pre – predicted precipitation scenario

Supplemental Table 3.

Two-way ANOVA table of the impact of soil and precipitation on carbon and nitrogen content and isotope signature of spring wheat and mustard cultivated in 2017

Ergänzungstabelle 3. 2-Wege-ANOVA-Tabelle zum Einfluss von Boden und Niederschlag auf den Kohlenstoff- und Stickstoffgehalt und die Isotopensignatur von Sommerweizen und Senf (2017)

ParameterUnitSoilPrecipitation
FpFp
Spring wheat – harvest 20.07.2017
Grain N%16.8/Pg, Ch<0.0015.11/pre0.043
Straw N%13.4/Pg, Ch<0.0019.65/pre0.009
Grain δ15N7.61/Pg0.0074.460.056
Straw δ15N10.1/Pg, Ch0.0032.780.121
Grain C%8.11/Pg, Ch0.0060.610.450
Straw C%4.490.0350.710.416
Grain δ13C0.610.5618.83/pre0.012
Straw δ13C2.160.15815.2/pre0.002
Spring wheat – leaf 06.07.2017
Leaf N%19.0/Pg, Ch<0.0015.11/pre0.043
Leaf δ15N8.96/Pg0.00414.0/curr0.003
Leaf C%0.0880.9163.970.070
Leaf δ13C2.130.16130.8/pre<0.001
Mustard leaf 24.10.2017
Mustard N%41.3/Pg<0.00117.1/pre0.003
Mustard δ15N0.520.6091.520.241
Mustard C%3.590.0634.500.057
Mustard δ13C0.650.5384.180.064

[i] F indicates the mean square of the treatment divided by the mean square of the residuals and p is the significance value. The treatment (soil and precipitation) with the higher value is indicated after F. Values with p ≤ 0.05 are highlighted in bold. Pg – gleyic Phaeozem; PS – sandy Phaeozem; Ch – Chernozem; curr – current precipitation scenario; pre – predicted precipitation scenario

Supplemental Table 4:

Two-way ANOVA tables of the impact of soil and precipitation on yield, carbon and nitrogen content, and isotope signature of spring barley cultivated in 2018

Ergänzungstabelle 4. 2-Wege-ANOVA-Tabelle zum Einfluss von Boden und Niederschlag auf den Kohlenstoff- und Stickstoffgehalt und die Isotopensignatur von Sommergerste (2018)

Spring barley – harvest 23.07.2018
ParameterUnitSoilPrecipitation
FpFp
Grain N%0.240.7923.110.103
Straw N*%7.71/PS0.0241.760.221
Grain δ15N15.2/Pg<0.0010.010.919
Straw δ15N*0.050.8344.920.057
Grain C%1.390.2860.460.512
Straw C*%7.11/PS0.0280.760.409
Grain δ13C37.5/PS Pg<0.0017.15/pre0.020
Straw δ13C*117/PS<0.00140.5/pre<0.001

F indicates the mean square of the treatment divided by the mean square of the residuals and p is the significance value. The treatment (soil and precipitation) with the higher value is indicated after F. Values with p ≤ 0.05 are highlighted in bold.

* Pg not determined. Pg – gleyic Phaeozem; PS – sandy Phaeozem; Ch – Chernozem; curr – current precipitation scenario; pre – predicted precipitation scenario

Supplemental Table 5.

Two-way ANOVA tables of the impact of soil and precipitation on yield, carbon and nitrogen content, and isotope signature of winter wheat cultivated in 2019

Ergänzungstabelle 5. 2-Wege-ANOVA-Tabelle zum Einfluss von Boden und Niederschlag auf den Kohlenstoff- und Stickstoffgehalt und die Isotopensignatur von Winterweizen (2019)

ParameterWinter wheat – harvest 03.07.2019
UnitSoilPrecipitation
FpFp
Grain N%0.770.4880.410.536
Straw N%2.100.1664.92/pre0.047
Grain δ15N36.8/Pg, Ch<0.0015.74/curr0.038
Straw δ15N5.22/Pg0.0230.170.688
Grain C%91.6/Pg<0.0010.000.987
Straw C%5.79/PS, Ch0.0170.600.452
Grain δ13C13.2/PS0.00221.1/pre0.001
Straw δ13C4.05/PS0.0458.38/pre0.013

[i] F indicates the mean square of the treatment divided by the mean square of the residuals and p is the significance value. The treatment (soil and precipitation) with the higher value is indicated after F. Values with p ≤ 0.05 are highlighted in bold. Pg – gleyic Phaeozem; PS – sandy Phaeozem; Ch – Chernozem; curr – current precipitation scenario; pre – predicted precipitation scenario

Supplemental Figure 1.

Harvests of spring wheat (2017), spring barley (2018), and winter wheat (2019) for the different soil types and precipitation treatments in g m−2. Given are the arithmetic mean values (n = 3) of the aboveground dry biomass, and the error bars represent the standard deviation.

Ergänzungsabbildung 1. Ernten von Sommerweizen (2017), Sommergerste (2018) und Winterweizen (2019) für die verschiedenen Bodentypen und Niederschlagsbehandlungen in g m−2. Gegeben sind die arithmetischen Mittelwerte (n=3). Die Fehlerbalken stellen die Standardabweichung dar.

Supplemental Figure 2.

Grain N content of spring wheat (2017), spring barley (2018), and winter wheat (2019) for the different soil types and precipitation treatments in ‰. Given are the arithmetic mean values (n = 3), and the error bars represent the standard deviation.

Ergänzungsabbildung 2. Stickstoffgehalt im Korn von Sommerweizen (2017), Sommergerste (2018) und Winterweizen (2019) für die verschiedenen Bodentypen und Niederschlagsbehandlungen in ‰. Gegeben sind die arithmetischen Mittelwerte (n = 3). Die Fehlerbalken stellen die Standardabweichung dar.

Supplemental Figure 3.

Straw N content of spring wheat (2017), spring barley (2018), and winter wheat (2019) for the different soil types and precipitation treatments in ‰. Given are the arithmetic mean values (n = 3), and the error bars represent the standard deviation.

Ergänzungsabbildung 3. Stickstoffgehalt des Strohs von Sommerweizen (2017), Sommergerste (2018) und Winterweizen (2019) für die verschiedenen Bodentypen und Niederschlagsbehandlungen in ‰. Gegeben sind die arithmetischen Mittelwerte (n = 3). Die Fehlerbalken stellen die Standardabweichung dar.

Supplemental Figure 4.

Straw δ15N values of spring wheat (2017), spring barley (2018), and winter wheat (2019) for the different soil types and precipitation treatments in ‰. Given are the arithmetic mean values (n = 3), and the error bars represent the standard deviation.

Ergänzungsabbildung 4. Delta15N-Werte des Strohs von Sommerweizen (2017), Sommergerste (2018) und Winterweizen (2019) für die verschiedenen Bodentypen und Niederschlagsbehandlungen in ‰. Gegeben sind die arithmetischen Mittelwerte (n = 3). Die Fehlerbalken stellen die Standardabweichung dar.

DOI: https://doi.org/10.2478/boku-2023-0004 | Journal eISSN: 2719-5430 (formerly 0006-5471) | Journal ISSN: 0006-5471
Language: English, German
Page range: 35 - 48
Submitted on: Jul 14, 2023
Accepted on: Aug 30, 2023
Published on: Oct 31, 2023
Published by: Universität für Bodenkultur Wien
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2023 Andrea Watzinger, Judith Prommer, Andreea Spiridon, Weronika Kisielinska, Rebecca Hood-Nowotny, Herbert Formayer, Anna Wawra, Johannes Hösch, Julia Miloczki, published by Universität für Bodenkultur Wien
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.