JfK Kopfgrafik
Home / Archiv / Bd. 68 Nr. 11 (2016) / Originalarbeit
Originalarbeit

Efficacy of different strategies using an ALS-inhibitor herbicide for weed control in sugar beet (Beta vulgaris L.)

Wirksamkeit eines ALS-Inhibitor Herbizids in verschiedenen Strategien zur Unkrautkontrolle in Zuckerrüben (Beta vulgaris L.)

Moritz Jasper Wendt1, Christine Kenter1, Martin Wegener2 and Bernward Märländer1
Institute
Institut für Zuckerrübenforschung (IfZ) an der Universität Göttingen, 37079 Göttingen, Germany1
Bayer CropScience AG, 40789 Monheim, Germany2

Journal für Kulturpflanzen, 68 (11). S. 338–343, 2016, ISSN 1867-0911, DOI: 10.1399/JfK.2016.11.03, Verlag Eugen Ulmer KG, Stuttgart

Correspondence
Dr. Christine Kenter, Institut für Zuckerrübenforschung, Holtenser Landstraße 77, 37079 Göttingen, Germany, E-Mail: kenter@ifz-goettingen.de
Accepted
17 October 2016

Abstract

In 2013 and 2014, field trials were conducted at six environments in Germany to evaluate the efficacy of a new ALS-inhibiting herbicide containing foramsulfuron and thiencarbazone-methyl (F/T) for weed control in sugar beet cultivation. Five herbicide strategies with different application frequencies of F/T (50 g foramsulfuron ha–1 + 30 g thiencarbazone-methyl ha–1) and a classic herbicide strategy with three applications of phenmedipham (75 g ai ha–1), desmedipham (59 g ai ha–1), ethofumesate (94 g ai ha–1), lenacil (34 g ai ha–1) and metamitron (700 g ai ha–1) were compared. The efficacy of the classic herbicide strategy was between 84 and 99% due to surviving Chenopodium album L., Matricaria recutita L., Mercurialis annua L. and Solanum tuberosum L. Average efficacy of F/T was 95% in the single application treatment. Strategies with two applications combining classic herbicides and F/T achieved an efficacy beyond 97%. This points to an increased flexibility of weed control in sugar beet.

Key words: Foramsulfuron, thiencarbazone-methyl, application frequency, standardised treatment index

Zusammenfassung

In den Jahren 2013 und 2014 wurden in sechs Umwelten in Deutschland Feldversuche durchgeführt, um die Wirksamkeit eines neuen ALS-Inhibitor Herbizids (F/T) zur Unkrautkontrolle im Zuckerrübenanbau zu bewerten. Fünf Herbizidstrategien mit verschiedenen Anwendungen von F/T (50 g Foramsulfuron ha–1 + 30 g Thiencarbazone-methyl ha–1) und eine klassische Herbizidstrategie mit drei Applikationen von Phenmedipham (75 g Wirkstoff ha–1), Desmedipham (59 g Wirkstoff ha–1), Ethofumesat (94 g Wirkstoff ha–1), Lenacil (34 g Wirkstoff ha–1) und Metamitron (700 g Wirkstoff ha–1) wurden miteinander verglichen. Die Wirksamkeit der klassischen Herbizidstrategie lag zwischen 84 und 99% durch nicht voll­ständig kontrollierte Chenopodium album L., Matricaria recutita L., Mercurialis annua L. und Solanum tuberosum L. Die durchschnittliche Wirksamkeit von F/T lag bei 95% in der einmaligen Applikation. Strategien mit zwei Applikationen in Kombination von klassischen Herbiziden und F/T erreichten eine Wirksamkeit über 97%. Dies führt zu einer höheren Flexibilität der Unkrautkontrolle in Zuckerrüben.

Stichwörter: Foramsulfuron, Thiencarbazone-methyl, Behandlungshäufigkeit, Behandlungsindex

Introduction

In sugar beet cultivation, high yield strongly depends on an effective weed control (May and Wilson, 2006). In Germany, the classic weed control strategy comprises on average 3.5 applications of three to five active ingredients (ai) at the cotyledon stage of the weeds (Vasel et al., 2012). The summation of all applied ai in relation to their authorised dosages and the treated area results in the standardised treatment index (STI) which is an indicator for the use intensity of plant protection products (Sattler et al., 2007). In Germany, the mean STI for herbicide use in sugar beet was 2.64 in 2010–2014 (PAPA, 2016). As increasing occurrence of weeds that are difficult to control, e.g. Chenopodium album L., Matricaria spp. and Polygonum spp., was observed in Germany during the last 15 years (Buhre et al., 2011; Vasel et al., 2012), a future increase of STI can be assumed.

Currently, a new herbicide (Conviso®) containing foramsulfuron and thiencarbazone-methyl is under approval for sugar beet cultivation. In the following, it is referred to as ‘F/T’. Both ai belong to the HRAC-group “B” and inhibit the acetolactate-synthase (ALS). Due to the susceptibility of sugar beet to this mode of action, a non-sensitive genotype is currently being developed (Wegener et al., 2015). Wegener et al. (2015) determined the efficacy of F/T as part of the approval procedure. They compared F/T in two application strategies as requested for registration with classic herbicides, but without presenting cumulated efficacy results. Thus, the present study was conducted to compare the cumulated efficacy of five weed control strategies with F/T for possible use in commercial practice and a classic herbicide strategy.

Material and methods

Experimental setup

Three sugar beet field trials were conducted in Northern Germany each in 2013 and 2014 (six environments, Table 1). The trial sites were selected for different soils and weed compositions. Soil texture was silt loam at Göttingen, clay loam at Angerstein, loam at Niedernjesa and loamy sand at Schwüblingsen. Schwüblingsen was especially selected to test efficacy towards Mercurialis annua L. and volunteer potatoes (Solanum tuberosum L.) which are difficult to control in sugar beet (May and Wilson, 2006).

Table 1. Site specific weed composition in field trials with sugar beet assessed in untreated plots (BBCH 39 of sugar beet in herbicide treated plots). Six environments, Germany 2013 and 2014

Environment

Canopy ground cover

Site specific weed composition (percentage of all weeds)

Göttingen 2013

100%

Chenopodium album L. (60%), Matricaria recutita L. (20%), Solanum nigrum L. (10%), Urtica urens L. (5%)

Göttingen 2014

100%

C. album (70%), M. recutita (20%), Hordeum vulgare L. (5%)

Angerstein 2013

10%

C. album (40%), M. recutita (20%), Sonchus arvensis L. (10%), Alopecurus myosuroides Huds. (30%)

Niedernjesa 2014

40%

C. album (70%), M. recutita (10%), A. myosuroides (10%), Galium aparine L. (5%)

Schwüblingsen 2013

90%

C. album (40%), M. recutita (20%), Mercurialis annua L. (20%), Solanum tubero­sum L. (10%), Polygonum convolvulus L. (10%)

Schwüblingsen 2014

100%

C. album (30%), M. recutita (10%), M. annua (20%),
S. tuberosum (15%), Senecio vulgaris L. (20%)

Seedbed was prepared site-specifically. Seeds of a sugar beet genotype non-sensitive to ALS-inhibitor herbicides were provided by KWS Saat SE (Einbeck, Germany). The experimental setup was a four times replicated randomised block design. The size of the six row plots was 21.8 m² with 0.45 m distance between the rows and 0.18 m within the rows. Sugar beets were not harvested and tilled into the soil in the end of October.

Herbicide applications

Herbicides were applied with pneumatic plot sprayers type Schachtner PSG, nozzle type Air Induced (low pressure) flat fan – 110–02 (Göttingen, Angerstein, Niedern­jesa); type Agrartest, nozzle type Agrotop Airmix 110–02 (Schwüblingsen). Used water volume was 200–300 L ha–1, pressure was 250 kPa and velocity was 4.5 km/h.

The requested authorised application rate of F/T (foramsulfuron + thiencarbazone-methyl, 50 g ai L–1 + 30 g ai L–1) is 1.00 L ha–1 for a single and 0.5 L ha–1 for a two time application (Wegener et al., 2015). Treatments 2, 3 and 5 represent possible weed control strategies with F/T (Table 2). Treatment 4 represents the classic weed control strategy including the four most frequently applied ai in Germany: 75 g ai ha–1 phenmedipham (PMP), 59 g ai ha–1 desmedipham (DMP), 94 g ai ha–1 ethofumesate (ETO), 700 g ai ha–1 metamitron (MET) (Vasel et al., 2012) and 34 g ai ha–1 lenacil (LEN). Active ingredients against monocotyledonous weeds were not included. Treatments 6 and 7 are alternative application strategies for weed control with F/T. Note: registration is requested for treatments 5 and 7. STI was calculated according to Sattler et al. (2007).

Table 2. Application timing, number of applications and standardised treatment index (STI) of different herbicide strategies tested in field trials with sugar beet to evaluate efficacy of an ALS-inhibitor herbicide (F/T)1 and classic herbicides2, six environments in Germany in 2013 and 2014

Treatment

Strategy

Application Code

Number of Applications

STI

1

Untreated

 

0

0.00

2

1x classic + 1x 1.0 L ha–1 F/T

A B*

2

1.47

3

1x 1.0 L ha–1 F/T + 1x classic

B A*

2

1.47

4

3x classic

A A* A*

3

1.43

5

2x 0.5 L ha–1 F/T

B B*

2

1.00

6

1x 1.0 L ha–1 F/T + classic (tankmix)

C

1

1.47

7

1x 1.0 L ha–1 F/T

C

1

1.00

A  BBCH 10 of most developed weeds
B  BBCH 12 of CHEAL
C  BBCH 14 of CHEAL
*  or weed regrowth after prior treatment

1 F/T: 50 g foramsulfuron L–1 + 30 g thiencarbazone-methyl L–1
2 Classic: 1.25 L ha–1 Betanal® maxxPro (94 g ai ha–1 ethofumesate, 75 g ai ha–1 phenmedipham, 59 g ai ha–1 desmedipham,
   34 g ai ha–1 lenacil) + 1.00 L ha–1 Goltix® Gold (700 g ai ha–1 metamitron)

Assessments of herbicide efficacy

Efficacy was assessed at canopy closure (BBCH 39) of the sugar beet. It was rated from 0–100% for the whole plot area and is indicated as percentage of controlled weeds relative to the untreated check (EPPO, 2007). Assessments were made for overall efficacy and for efficacy against C. album at all sites. M. annua and S. tuberosum occurred only at Schwüblingsen (Table 1) where efficacy towards both was assessed.

Statistical evaluation

Statistical analysis was carried out with the statistic program SAS version 9.4 (SAS Institute Inc., Cary, NC, USA). After testing for normal distribution and variance homogeneity, the data were transformed into angular values. ANOVA was carried out with the procedure PROC GLM. Original data are shown in the figures.

Results

At all environments, C. album and Matricaria recutita L. occurred and accounted for 40–90% of all weeds (Table 1). Site specific weed species also emerged. Weed density was highest at Göttingen 2013, Göttingen 2014 and Schwüblingsen 2014 and lowest at Angerstein 2013 and Niedernjesa 2014.

Herbicide efficacy

Efficacy was significantly influenced by treatment, environment and their interaction (Table 3). Due to the interaction of treatment × environment, a comparison of means for the main factor treatment was not made. Efficacy was highest in treatments 2, 3, 5 and 6 (97% and higher), second highest in treatment 7 (95%) and lowest in treatment 4 (91%) (Fig. 1). Lowest efficacy of F/T was observed in treatments 5 and 7 at Schwüblingsen 2013 (88 and 89%) and in treatment 7 at Göttingen 2013 (93%). Highest variation among environments occurred in treatment 4 (classic herbicides) with efficacy being 98% at Göttingen 2013 and Niedernjesa 2014 and 84–92% at the other environments.

Table 3. Analysis of variance for factors influencing effi­cacy of herbicide strategies in field trials with su­gar beet, six environments in Germany 2013 and 2014. ***: significant at p ≤ 0.0001; DF: degrees of freedom

 

DF

F-Value

Pr > F

Treatment

5

34.17

***

Environment

5

32.27

***

Treatment × environment

25

7.56

***

Fig. 1. Cumulated efficacy of herbicide treatments with foramsulfuron + thiencarbazone-me­thyl (F/T) and classic herbicides (BG) in va­rious combinations as­sessed in field trials with sugar beet (BBCH 39). Six environments, Germany 2013 and 2014, n = 4. 1x F/T: 50 g foramsulfuron ha–1 + 30 g thiencarbazo­ne-methyl ha–1; 1x classic herbicides: 94 g ai ha–1 ethofumesate, 75 g ai ha–1 phenme­dipham, 59 g ai ha–1 desmedi­pham, 34 g ai ha–1 lenacil + 700 g ai ha–1 metamitron. For details see Table 2.

Fig. 1. Cumulated efficacy of herbicide treatments with foramsulfuron + thiencarbazone-me­thyl (F/T) and classic herbicides (BG) in va­rious combinations as­sessed in field trials with sugar beet (BBCH 39). Six environments, Germany 2013 and 2014, n = 4. 1x F/T: 50 g foramsulfuron ha–1 + 30 g thiencarbazo­ne-methyl ha–1; 1x classic herbicides: 94 g ai ha–1 ethofumesate, 75 g ai ha–1 phenme­dipham, 59 g ai ha–1 desmedi­pham, 34 g ai ha–1 lenacil + 700 g ai ha–1 metamitron. For details see Table 2.

Efficacy against C. album was highest in treatments 2, 3, 5 and 6, in treatment 5 with exception of Schwüblingsen 2013 (Fig. 2). M. annua and S. tuberosum occurred at Schwüblingsen 2013 and 2014 (Table 1). Efficacy of treatments 2, 3, 5, 6 and 7 against both was 96% and higher in both years (Fig. 3). Mean efficacy of treatment 4 (3 applications of classic herbicides) was 90 and 72% against M. annua and 89 and 96% against S. tuberosum in 2013 and 2014, respectively.

Fig. 2. Efficacy of herbicide treatments with foram­sulfuron + thiencarbazone-me­thyl (F/T) and classic herbicides (BG) in va­rious combinations against Chenopodium album L. assessed in field trials with sugar beet (BBCH 39). Six en­vironments, Germany 2013 and 2014, n = 4. 1x F/T: 50 g foramsul­furon ha–1 + 30 g thien­carbazone-methyl ha–1; 1x classic herbicides: 94 g ai ha–1 ethofume­sate, 75 g ai ha–1 phen­medipham, 59 g ai ha–1 desmedipham, 34 g ai ha–1 lenacil + 700 g ai ha–1 metamitron. For details see Table 2.

Fig. 2. Efficacy of herbicide treatments with foram­sulfuron + thiencarbazone-me­thyl (F/T) and classic herbicides (BG) in va­rious combinations against Chenopodium album L. assessed in field trials with sugar beet (BBCH 39). Six en­vironments, Germany 2013 and 2014, n = 4. 1x F/T: 50 g foramsul­furon ha–1 + 30 g thien­carbazone-methyl ha–1; 1x classic herbicides: 94 g ai ha–1 ethofume­sate, 75 g ai ha–1 phen­medipham, 59 g ai ha–1 desmedipham, 34 g ai ha–1 lenacil + 700 g ai ha–1 metamitron. For details see Table 2.

Fig. 3. Efficacy of herbicide treatments with foram­sulfuron + thiencarbazone-me­thyl (F/T) and classic herbicides (BG) in va­rious combinations against Mercurialis an­nua L. (left) and Sola­num tuberosum L. (right) assessed in field trials with sugar beet (BBCH 39), Schwüb­lingsen 2013 and 2014, n = 4. 1x F/T: 50 g foramsulfuron ha–1 + 30 g thiencarbazone-methyl ha–1; 1x classic herbicides: 94 g ai ha–1 ethofumesate, 75 g ai ha–1 phenmedipham, 59 g ai ha–1 desme­dipham, 34 g ai ha–1 lenacil + 700 g ai ha–1 metamitron. For details see Table 2.

Fig. 3. Efficacy of herbicide treatments with foram­sulfuron + thiencarbazone-me­thyl (F/T) and classic herbicides (BG) in va­rious combinations against Mercurialis an­nua L. (left) and Sola­num tuberosum L. (right) assessed in field trials with sugar beet (BBCH 39), Schwüb­lingsen 2013 and 2014, n = 4. 1x F/T: 50 g foramsulfuron ha–1 + 30 g thiencarbazone-methyl ha–1; 1x classic herbicides: 94 g ai ha–1 ethofumesate, 75 g ai ha–1 phenmedipham, 59 g ai ha–1 desme­dipham, 34 g ai ha–1 lenacil + 700 g ai ha–1 metamitron. For details see Table 2.

Standardised treatment indexes were 1.00 when only F/T was applied, 1.43 in the classic strategy and 1.47 when F/T and classic herbicides were combined (Table 2).

Discussion

Weed control strategies with F/T had higher efficacy than classic herbicides as also described by Wegener et al. (2015). Efficacy was relatively low in treatments 5 (2x F/T) and 7 (1x F/T) at Schwüblingsen 2013 which resulted from a too late application as BBCH of C. album was beyond 12–14 in treatment 5 and beyond 14–16 in treatment 7 (data not shown). A similar effect was observed for treatment 7 at Göttingen 2013 and 2014, where single plants of C. album were beyond BBCH 16 and could not be controlled. This is in accordance with results by Wendt et al. (2016), who determined BBCH 14 and 16 of C. album as the latest development stage for weed control with 0.50 or 1.00 L ha–1 F/T, respectively. This has to be considered in herbicide strategies with F/T. The connection between cumulated efficacy and efficacy against C. album points to the high importance of application timing and makes C. album to the key species for F/T strategies.

Limitations of the classic herbicide strategy (treatment 4) became obvious at four environments. Its efficacy was insufficient against the severe infestation with C. album and M. recutita at Göttingen 2014. Another aspect was that no ai against monocotyledonous weeds (e.g. propaquizafop or fluazifop-P) were included which caused the high occurrence rate of Alopecurus myosuroides Huds. at Angerstein 2013. These finds are supported by studies with similar classic herbicide strategies. In experiments by Abdollahi and Ghadiri (2004), control of Amaranthus retroflexus L. and C. album was 96 and 97% compared to 90–94% of Echinochloa crus-galli L. when 230 g ai ha–1 each of PMP, DMP and ETO were applied. In studies by Deveikyte and Seibutis (2008, 2015), the maximum control of C. album was 91%. It was achieved with 91 g ai ha–1 PMP, 71 g ai ha–1 DMP, 112 g ai ha–1 ETO and 525 g ai ha–1 MET.

The low efficacy against M. annua in treatment 4 is in accordance with results of the coordinated herbicide trials in Germany in 2014 and 2015 where three applications of only two herbicides also had a low efficacy against this fast growing weed species (IfZ, 2014, 2015). Furthermore, the control of S. tuberosum is difficult (May and Wilson (2006). To date, chemical treatments have low efficacy and an improvement of mechanical methods was suggested (Nieuwenhuizen et al., 2007).

It is thus concluded that either an additional ai or a fourth application is necessary for a constantly high weed control with a classic herbicide strategy. In this case, efficacy of classic herbicides towards C. album and Polygonum convolvulus L. can be beyond 97% (IfZ, 2014, 2015). Compared to the classic treatments, efficacy of strategies with F/T was higher at Schwüblingsen 2013 and 2014 showing an improved weed control on sandy soils. In general, strategies including FT should also be site-specifically adapted for different weed populations and densities.

Conclusions and Outlook

The high efficacy of F/T points to an option for a more flexible and easier weed control in sugar beet cultivation (Wegener et al., 2015; Wendt et al., 2016). This could be of importance as the populations of the dominant weeds in Germany (C. album, M. annua and M. recutita) have increased (Buhre et al., 2011; Vasel et al., 2012). Furthermore, the treatments with F/T indicated advantages for the control of volunteer potato and provide an option to control weed beet as well (Wegener et al., 2015). Additionally, this is accompanied by a reduction of the plant protection intensity as the STI of F/T treatments was lower (1.00–1.47) than the current mean in Germany (2.64; PAPA, 2016). Further studies are necessary to gain more data on efficacy against different weed populations and densities. However, potential risks of a weed control system with F/T, e.g. gene flow and development of weed resistance (Kudsk and Streibig, 2003), must be preventively excluded necessitating full control of volunteers of non-sensitive sugar beet. First, an effective resistance management is required due to the increasing number of weed species resistant against ALS-inhibitors (Heap, 2013). Thus, herbicide strategies with F/T only should not be applied.

Acknowledgements

The authors thank Kerstin Steil, Udo Curdt, Dr. Cord Buhre and ARGE Nord (Arbeitsgemeinschaft zur Förderung des Zuckerrübenanbaus in Norddeutschland e.V.) for technical assistance. Thanks are expressed to Dr. Sebastian Liebe and Daniel Laufer for critical review of the manuscript. Financial support was provided by Bayer CropScience AG.

References

Abdollahi, F., H. Ghadiri, 2004: Effect of separate and combined applications of herbicides on weed control and yield of sugar beet. Weed Technology 18, 968-976. DOI: 0.1614/WT-03-142R2.

Buhre, C., P. Fecke, F. Nelles, G. Schlinker, E. Ladewig, 2011: Entwicklungen im Pflanzenschutz in Zuckerrüben aus der Umfrage Produktionstechnik im Vergleich zur Erhebung NEPTUN. Sugar Industry 136, 742-749.

Deveikyte, I., V. Seibutis, 2008: The influence of post-emergence herbicides combinations on broad-leaved weeds in sugar beet. Zemdirbyste-Agriculture 53, 43-49.

Deveikyte, I., V. Seibutis, 2015: Control of annual broadleaf weeds by combinations of herbicides in sugar beet. Zemdirbyste-Agriculture 102, 147-152.

EPPO (European and Mediterranean Plant Protection Organization), 2007: Efficacy evaluation of herbicides – Weeds in sugar and fodder beet and industrial chicory. PP 1/52 (3). DOI: 10.1111/j.1365-2338.2007.01075.x.

Heap, I., 2013: Global perspective of herbicide-resistant weeds. Pest Management Science 70, 1306-1315. DOI: 10.1002/ps.3696.

IfZ (Institut für Zuckerrübenforschung), 2014: Koordinierte Versuche Zuckerrüben 2014 in Deutschland. Ergebnisse der regionalen Arbeitsgemeinschaften zusammengestellt vom Institut für Zuckerrübenforschung Göttingen, 59-102.

IfZ (Institut für Zuckerrübenforschung), 2015: Koordinierte Versuche Zuckerrüben 2015 in Deutschland. Ergebnisse der regionalen Arbeitsgemeinschaften zusammengestellt vom Institut für Zuckerrübenforschung Göttingen, 65-80.

Kudsk, P., J.C. Streibig, 2003: Herbicides – a two-edged sword. Weed Research 43, 90-102.

May, M.J., R.G. Wilson, 2006: Weeds and weed control. In: A.P. Draycott (ed.): Sugar Beet, 359-386, Oxford, UK, Blackwell.

Nieuwenhuizen, A.T., L. Tang, J.W. Hofstee, J. Müller, E.J. van Henten, 2007: Colour based detection of volunteer potatoes as weeds in sugar beet fields using machine vision. Precision Agriculture 8, 267-278. DOI 10.1007/s11119-007-9044-y.

PAPA (Panel Pflanzenschutzmittel-Anwendungen), 2016: Treatment Indices until 2014. Available at: http://papa.jki.bund.de/index.php?menuid=43 (25 July 2016).

Sattler, C., H. Kächele, G. Verch, 2007: Assessing the intensity of pesticide use in agriculture. Agriculture, Ecosystems and Environment 119, 299-304. DOI: 10.1016/j.agee.2006.07.017.

Vasel, E.H., E. Ladewig, B. Märländer, 2012: Weed composition and herbicide use strategies in sugar beet cultivation in Germany. Journal für Kulturpflanzen 64, 112-125.

Wegener, M., N. Balgheim, M. Klie, C. Stibbe, B. Holtschulte, 2015: CONVISO® SMART – ein innovativer Ansatz der Unkrautkontrolle in Zuckerrüben. Sugar Industry 140, 87-94.

Wendt, M.J., M. Wegener, E. Ladewig, B. Märländer, 2016: Efficacy of foramsulfuron + thiencarbazone-methyl towards different development stages of weed species in sugar beet cultivation. Sugar Industry 141, 436-445.


ISSN (elektronisch): 1867-0938
ISSN (print): 1867-0911
Verlag
Eugen Ulmer KG
Ulmer-Logo
Verantwortlicher Herausgeber
Präsident und Professor
Prof. Dr. Frank Ordon
Julius Kühn-Institut - Bundesforschungsinstitut für Kulturpflanzen
Erwin-Baur-Str. 27
06484 Quedlinburg
Schriftleitung
Dr. Anja Hühnlein
Julius Kühn-Institut - Bundesforschungsinstitut für Kulturpflanzen
Erwin-Baur-Str. 27
06484 Quedlinburg
E-Mail: journal-kulturpflanzen@julius-kuehn.de
Co-Schriftleitung
Dr. Ulrike Stahl
Julius Kühn-Institut - Bundesforschungsinstitut für Kulturpflanzen
Layout/Technische Umsetzung
mediaTEXT Jena GmbH
mediaTEXT-Logo
Julius Kühn-Institut (JKI)
Bundesforschungsinstitut für Kulturpflanzen
 
Erwin-Baur-Str. 27
06484 Quedlinburg
Deutschland
Fon: 03946 47-0
Fax: 03946 47-255
Mail: poststelle@julius-kuehn.de
De-Mail: poststelle@julius-kuehn.de-mail.de
Impressum
 
Diese Zeitschrift wird vom Julius Kühn-Institut herausgegeben.
JKI-Logo