Data: Multi-environment field trials provide insights into wheat yield stability and breeding progress

1 Hyperlinks

2 Previous publications

additional depositories

• adjusted mean fungal disease zenodo

• SNIP data1, Voss-Fels 2019, SNIP data2, Lichthardt 2020

• Adjusted mean zenodo

• climate, soil water and coefficient zenodo

3 Hightlights

561722 traits from 228 genotypes across 6 years, 6 locations and 9 managements

BRIWECs MET dataset

Figure 1

228 Genotypes

Figure 2: 228 genotypes

6 Locations

Full name	Abbreviation
Gross Gerau	GGE
Hannover	HAN
Klein Altendorf	KAL
Kiel	KIE
Quedlinburg	QLB
Rauischholzhausen	RHH

Figure 3: map-location

Figure 4: soil-location

9 Managements

Management comprises of three treatments: nitrogen fertilizer, fungicide application and water availability.

• Nitrogen fertilizer treatment includes two application levels: high (HN: 220 kg N ha^-1) and low (LN: 110 kg N ha^-1), both include soil mineral nitrogen (0–90 cm) measured in early spring.

• Fungicide treatment contains two application levels: with (WF) or without (NF) fungicide application.

• Water availability treatment has three levels: rain-fed (RF), irrigated (IR) and rainout-shelter treated (RO).

In total, there are 9 managements, while it is incomplete and depends on the location and years (Figure 5, Table 1).

Figure 5: -management

Table 1: managements

Nitrogen	Fungicide	Water_availability
HN	WF	RO
LN	NF	IR
HN	NF	IR
HN	WF	IR
HN	WF	RF
LN	WF	IR
HN	NF	RF
LN	NF	RF
LN	WF	RF

24 agronomic and physiological traits

Total: 561,7K observations (removed outliers)

Figure 6: overview-datapoint

4 Experimental designs

2015

Figure 7: 2015-exp

2016

Figure 8: 2016-exp

2017

Figure 9: 2017-exp

2018

Figure 10: 2018-exp

2019

Figure 11: 2019-exp

2020

Figure 12: 2020-exp

In KAL 2018–2020 an additional treatment without nitrogen treatment was added to the experimental design. This management is excluded from the data set.

5 24 Traits

Table 2: Trait names, sources, ranges and units

trait full name	trait source	column name	trait range	unit
above-ground dry biomass	50 cm cut	Biomass_bio	0~3495	g/m^2
grains per spike	50 cm cut	Grain_per_spike_bio	3.6~146.7	Nbr.
harvest index	50 cm cut	Harvest_Index_bio	0.1~0.8
plant height	50 cm cut	Plantheight_bio	40~145	cm
grain yield	50 cm cut	Seedyield_bio	28.3~1815	g/m^2 @100% dry mass
spike number	50 cm cut	Spike_number_bio	48~1390	Nbr./m^2
thousand grain weight	50 cm cut	TGW_bio	4.7~77.8	g
day when 75% of the ears are visible	whole plot	BBCH59	123~181	days of year
day when 75% hard dough	whole plot	BBCH87	175~213	days of year
above-ground dry biomass	whole plot	Biomass	14.2~732.8	dt/ha
crude protein percentage per grain dry mass	whole plot	Crude_protein	6.2~21.3	%
leaf tan spot caused by Drechslera tritici-repentis	whole plot	DTR	0~100	% leaf area
falling number	whole plot	Falling_number	60~700	s
fusarium head blight	whole plot	Fusarium	0~27	% spike
number of grains per unit area	whole plot	Grain	19.2~5851.5	Nbr.*10^5/ha
leaf rust caused by Puccinia triticina eriks.	whole plot	Leaf_rust	0~90	% leaf area
leaf powdery mildew	whole plot	Powdery_mildew	0~100	% leaf area
grain protein yield	whole plot	Protein_yield	0.005~22.2	dt/ha
sedimentation	whole plot	Sedimentation	2.1~95.4	ml
grain yield	whole plot	Seedyield	0.05~141.6	dt/ha @100% dry mass
leaf spot caused by Septoria tritici	whole plot	Septoria	0~80	% leaf area
above ground biomass substracted by grain yield	whole plot	Straw	8.9~625.4	dt/ha
stripe rust caused by Puccinia striiformis	whole plot	Stripe_rust	0~100	% leaf area
thousand grain weight	whole plot	TGW	2.6~69.5	g

6 Ranges of traits

6.1 Agronomic traits

6.1.1 Seedyield

Figure 13: Seedyield-distribution

Figure 14: Seedyield-correlation

6.1.2 Seedyield_bio

Figure 15: Seedyield_bio-distribution

Figure 16: Seedyield_bio-correlation

Figure 17: correlations between whole plot and 50 cm cut

6.1.3 Biomass_bio

Figure 18: Biomass_bio-distribution

Figure 19: Biomass_bio-correlation

6.1.4 Harvest_Index_bio

Figure 20: Harvest_Index_bio-distribution

Figure 21: Harvest_Index_bio-correlation

6.1.5 TGW

Figure 22: TGW-distribution

Figure 23: TGW-correlation

6.1.6 TGW_bio

Figure 24: TGW_bio-distribution

Figure 25: TGW_bio-correlation

6.1.7 Spike_number_bio

Figure 26: Spike_number_bio-distribution

Figure 27: Spike_number_bio-correlation

6.1.8 Plantheight_bio

Figure 28: Plantheight_bio-distribution

Figure 29: Plantheight_bio-correlation

6.2 Yield quality

6.2.1 Sedimentation

Figure 30: Sedimentation-distribution

Figure 31: Sedimentation-correlation

6.2.2 Falling_number

Figure 32: Falling_number-distribution

Figure 33: Falling_number-correlation

6.2.3 Crude_protein

Figure 34: Crude_protein-distribution

Figure 35: Crude_protein-correlation

6.2.4 Protein_yield

Figure 36: Protein_yield-distribution

Figure 37: Protein_yield-correlation

6.3 Phenology

6.3.1 Emergence_date

Figure 38: Emergence_date-distribution

6.3.2 BBCH59

Figure 39: BBCH59-distribution

Figure 40: BBCH59-correlation

6.3.3 BBCH87

Figure 41: BBCH87-distribution

Figure 42: BBCH87-correlation

6.4 Pathogens

6.4.1 Stripe_rust

Figure 43: Stripe_rust-distribution

6.4.2 Powdery_mildew

Figure 44: Powdery_mildew-distribution

6.4.3 Leaf_rust

Figure 45: Leaf_rust-distribution

6.4.4 Septoria

Figure 46: Septoria-distribution

6.4.5 DTR

Figure 47: DTR-distribution

6.4.6 Fusarium

Figure 48: Fusarium-distribution

6.5 Sowing_date

Figure 49: Sowing_date-distribution

7 Climate data

Figure 50

Figure 51