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Tillage as a tool to manage crop residue : impact on sugar beet production

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Tillage as a tool to manage crop residue :

impact on sugar beet production

Marie-Pierre HIEL

1,2

, Florine DEGRUNE

1

, Marie CHELIN

1

, Nargish PARVIN

1

– Bernard BODSON

2

(1) AgricultureIsLife, Gembloux Agro-Bio Tech, University of Liège, Belgium, (2) AgroBioChem, Gembloux Agro-Bio Tech, University of Liège

Marie-pierre.hiel@ulg.ac.be

Context

Cover crop & crop residue = source of organic matter

TO VALORIZE

Soil fertility restauration

Externat uses

(fodder, bioenergy,…)

The aim of our project is to understand all major processes

involved in cover crop management in the soil-water-plant systems in silty loam soil and temperate climate.

In this context we focus on beat production from two different experimental fields and weather conditions (2013 and 2014).

Field experiment

on cover crop management

Two fields with same protocol but delayed by one year. Contrasted cover crop managements :

 Time of intervention winter spring

 Intensity of tillage plow reduced tillage

 Cover crop destruction mode physical chemical

 Main crop soil preparation 100% 30% disruption

 Crop residue placement -25 cm -10 cm top soil

- Weather conditions and soil humidity are crucial during sowing period - Strip tillage is quite technical, not user friendly

- Weather conditions have major impact on crop production

- Difference observed on sizes and shapes on beets during growing season did not impact yield

- Higher yield in winter ploughing in 2014 - No significant differences in 2013

- Tillage has great impact on weed occurrences  importance of knowing cultural past.

In order to fully understand the impact of cover crop management on crop production, further years of experiment are needed due to the high importance of weather on crop development.

Germination rate

No effect of modalities in both year BUT rate higher in 2013 and differences in the dynamics. In 2014 : 17mm of rain in two days  crust formation particularly in ploughing plots.

0 100 80 60 40 20 Ger minati on ra te ( %) 2014 sowing 2013 sowing

Results

Weather conditions

2013: cold spring and dry summer

2014: warm and dry spring, rainy summer

Cover crop

2013: 1,4 t/ha burried in winter ploughing,

1,1 t/ha in other treatments  frost

2014: 1 t/ha burried in winter ploughing,

2 t/ha in other treatments  mild winter

Bare soil Cover crop Dead crop Prepared soil Spring crop Glyphosate Ploughing Shallow tillage Strip till Decompaction Winter ploughing Spring ploughing Decompaction & Shallow tillage Strip tillage

Sept Dec March May 1

2 3 4

July August September October November

2 4 6 8 10 0 Leaves dr y wei ght ( t/ha)

Leaves and beets growth

Weeds

2013:

- Difference between decompaction (low) and ploughing (high)

- Importance of rotation on rapeseed occurrence

- Diversity in weeds higher in strip tillage

2014:

- Slight effect (P=0,055) of tillage on weed occurrences.

- Higher quantity in strip tillage

Decompaction & shallow tillage Strip tillage

Winter ploughing Spring ploughing

2013 2014

Legend

July August September October November

5 10 15 20 25 0 Be et s dr y wei ght ( t/ha) 2013:

- few variations between treatments - weather influence highly visible

2014:

- high variation inside treatments - significative differences in leaves

(shallow tillage versus winter ploughing particularly)

- but not observable in beets.

Yield components

Decompaction Shallow tillage

Strip tillage Spring ploughing

Winter ploughing

2013 2014 2013 2014 2013 2014 2013 2014

Beets yield (t/ha) 80,8 86,7** 79,8 83,4** 79,9 86,9** 81,4 94,4**

Sugar yield 15,12 15,17*** 15,12 14,88*** 15,08 15,45*** 15,34 16,9***

Sugar yield (t/ha) at 16% 94,5 94,9*** 94,5 93,0*** 94,3 96,6*** 96,1 105,6***

Sugar (%) 18,72 17,51 18,94 17,82 18,88 17,78 18,88 17,89

αN 0,79 0,74* 0,81 0,81* 0,92 0,83* 0,80 0,86*

K 3,35* 3,02 3,22* 3,01 3,20* 2,82 3,14* 2,91

Na 0,20 0,24 0,19 0,24 0,21 0,23 0,20 0,24

Significant codes : P < 0,01 ‘***’, P < 0,05 ‘**’, P < 0,1‘*’; colors for different statistical group

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