land, water and energy use efficiencies of potato

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Land, water and energy use efficiencies of potato production in South Africa JM Steyn 1 , JE van der Waals 1 , AC Franke 2 , AJ Haverkort 1,2 1 University of Pretoria 2 Wageningen University

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Land, water and energy use efficiencies of potato production in South Africa

JM Steyn1, JE van der Waals1,

AC Franke2, AJ Haverkort1,2

1University of Pretoria 2Wageningen University

Layout of presentation

Introduction:

The SA potato industry

Resource use efficiencies

Methodology

Results Land

Water

Energy (CO2)

What can we do about it?

Introduction

± 50 000 ha potatoes produced

16 geographical regions of SA

Potato regions differ in

soils, climate, production practices

Production practices also differ for table, processing, seed

These affect

amount of input resources used to produce potatoes

resource use efficiencies (footprints)

Introduction

Introduction Potato – requires high input levels

Seed, fertilizers, pest control chemicals, energy

Cost of energy has risen sharply

High input cost >>R100 000/ha

Product prices – almost constant

Significant negative impact on financial sustainability

Introduction

High resource input levels also affect environmental sustainability

Expressed as efficiencies or Environmental Footprints

Land use efficiency

LUE = yield per unit area of land (t/ha)

Energy use efficiency

Energy inputs per ton of potato

or “Carbon footprint”

Total amount of “greenhouse gases” produced by any activity

Expressed in tons of CO2 produced

Includes energy used for 1o and 2o production

Water use efficiency Yield per unit of water used

(kg/ha/mm water)

or “Water footprint” Total volume of water used to produce

a unit of product (L/kg)

Includes both direct and indirect water use

Examples of some food products:

80 L/ orange (150 gram)

1020 L/ L orange juice

“Water footprints”

4620 L / 300g steak

43 L / 150 g potato

Resource use efficiencies = indicators of sustainability of production

not determined for SA potato production before

Objectives

To assess and benchmark potato production areas regarding their

use of land,

water,

energy (carbon)

Objectives

Identify resource intensive practices

Recommend interventions how to address these

Improve environmental and economic sustainability

Methodology

Surveys in all 16 potato production regions

Interviewed >3 farmers per production system (seed, table, processing)

±100 farmers interviewed = 15%

±100 questions – inputs, practices Processed per farm, region and

country

Land use efficiency

5 year average yields (t/ha)

Yield gap analysis = actual yield vs. calculated potential yields

Using LINTUL-potato growth model

temp, radiation, water inputs

Root zone

Drainage

Rain &

Irrigation

Evapo-

transpiration

Water use efficiency

Irrigation need = ET - rainfall

WU = rainfall + total amount of irrigation applied in season

WUE = kg/ha potato mm-1

Only water used for 1o production – not washing plant

Actual water use vs. LINTUL model simulated need

Energy use efficiency

Used “Cool Farm Tool-Potato” (CFT-Potato) (Haverkort & Hiller, 2011)

Decision support tool for growers / companies to calculate their CO2 footprints

Total kg CO2 equivalent greenhouse gases produced / ton potatoes

RESULTS

Land use efficiency

0

10

20

30

40

50

60

70

HV NW SWFS WFS Ceres Lim SV GT SC NC MH KZN NEC EC SWC EFS

Fre

sh t

ub

er

yie

ld (

t/h

a)

Region

LUE

Land use efficiency

0

20

40

60

80

100

120

HV NW SWFS WFS Ceres Lim SV GT SC NC MH KZN NEC EC SWC EFS

Fre

sh

tu

ber

yie

ld (

t/h

a)

Region

Average actual yield

Calculated potential yield

Land use efficiency

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

SC Ceres GT HV WFS NW MH KZN SWFS Lim NC EC NEC SV SWC EFS

Ra

tio

Act

ua

l y

ield

/ P

ote

nti

al y

ield

Region

Land use efficiency

0

10

20

30

40

50

60

70

1 2 3 4 5 6 7 8 9

Fre

sh t

ub

er

yie

ld (

t/h

a)

Grower

Actual Irrigation

0

100

200

300

400

500

600

700

800

900

SWC Ceres SV SWFS GT MH Lim NW WFS NC EC HV KZN SC NEC EFS

Act

ua

l irr

iga

tio

n a

mo

un

t (m

m)

Region

Actual Irrigation vs Irrigation need

0

100

200

300

400

500

600

700

800

900

Cer SV SWFS GT MH WFS Lim NW NC EC HV KZN SC NEC EFS

Irri

gati

on

ne

ed

(m

m)

Region

Average Actual irrigation

Calculated Irrigation need

Actual Irrigation vs Irrigation need

y = 0.1828x + 104.49

R² = 0.115

0

50

100

150

200

250

300

350

400

450

0 100 200 300 400 500 600 700 800 900

Ca

lcu

late

d I

rrig

ati

on

ne

ed

(m

m)

Actual Irrigation (mm)

Actual Irrigation vs Irrigation need

y = 0.7685x - 122.81

R² = 0.6526

0

50

100

150

200

250

300

350

400

450

0 100 200 300 400 500 600 700

Ca

lcu

late

d I

rrig

ati

on

ne

ed

(m

m)

Actual Irrigation (mm)

Water use efficiency (Irrigation + rainfall)

0

20

40

60

80

100

120

140

HV Lim NW SC MH WFS SWFS KZN GT NC NEC SV EC EFS Cer SWC

Wa

ter

Use

Eff

icie

ncy

(k

g/h

a/m

m)

Region

18 L / medium tuber

Water use efficiency (Irrigation + rainfall)

0

500

1000

1500

2000

1 2 3 4 5 6 7 8 9

WU

E (

L/1

0k

g b

ag

)

Grower

Energy use efficiency 2

17 4

8

9

5 3 9 8 5 7 3 11

3 7

5

0

50

100

150

200

250

300

350

400

450

500

SWC SV GT Ceres Lim NW EC WFS NC MH NEC SC KZN SWFS EFS HV

kg

CO

2 e

q.

/ t

fre

sh p

ota

to

Region

Total

Energy use efficiency

0

50

100

150

200

250

300

350

SV GT Ceres Lim NW EC WFS NC MH NEC SC KZN SWFS EFS HV

kg

CO

2 e

q.

/ t

fre

sh p

ota

to

Regions

Other

Farm gate transport

Grading, cooling, storage

Irrigation

Fertiliser-related

Carbon footprint

NW SW-FS

Fertiliser-related

Irrigation

Grading, cooling,

storageFarm gate transport

Other

Nutrient rate/ha

0

100

200

300

400

500

600

700

800

900

1000

SC EFS EC MH NC SWFS Lim KZN HV NEC WFS SWC NW GT Cer SV

kg

/ha

N,

P, K

Region

N

P

K

Potassium use efficiency

0

50

100

150

200

250

300

350

400

450

500

SWFS EC SC WFS EFS Lim NC HV MH NEC KZN NW GT Cer SV SWC

K u

se e

ffii

cie

ncy

(k

g p

ota

to/k

g K

)

Region

KUE

Energy use efficiency

0

50

100

150

200

250

300

350

SV GT Ceres Lim NW EC WFS NC MH NEC SC KZN SWFS EFS HV

kg

CO

2 e

q.

/ t

fre

sh p

ota

to

Regions

Other

Farm gate transport

Grading, cooling, storage

Irrigation

Fertiliser-related

Netherlands

Land vs Energy use efficiency

0

5

10

15

20

25

30

0 10 20 30 40 50 60 70

Tota

l CO

2 e

q p

er

t p

ota

to

Actual yield (t/ha)

Land vs Energy use efficiency All regions

y = -0.3135x + 29.569

R² = 0.2442

0

5

10

15

20

25

30

0 10 20 30 40 50 60 70

Tota

l CO

2 e

q p

er

t p

ota

to

Actual yield (t/ha)

Energy use efficiency

0

50

100

150

200

250

300

1 2 3 4 5 6 7 8 9

kg

CO

2 e

q.

/ t

fre

sh p

ota

to

Grower

Fertiliser-related

Pesticides

Transport (farm-gate)

Other (ex pesticides)

Grading, cooling, storage

Irrigation

Energy use efficiency

0

50

100

150

200

250

300

350

SV GT Ceres Lim NW EC WFS NC MH NEC SC KZN SWFS EFS HV

kg

CO

2 e

q.

/ t

fre

sh p

ota

to

Regions

Transport to market

Other

Farm gate transport

Grading, cooling, storage

Irrigation

Fertiliser-related

Discussion and Conclusions

Significant range in energy use efficiency (C-footprints) between regions

Soils, climate, practices differ

Also between growers within a region

Major contributors to energy use:

Fertilizers - 35%

Irrigation - 30%

Transport - 6.5% (20% incl. to market)

Nutrient levels vary substantially

Low efficiencies for some growers & regions

LUE – country average 43 t/ha = 63% of potential

WUE – average of 80 kg/ha/mm

Vast differences between & within regions

Opportunity for improvement

Discussion and Conclusions

Where to from here?

What can be done about it?

Set norms and move the curve

50 100 150 200 250 300

kg CO2 /t potato

% o

f p

rod

uce

rs

Discussion and Conclusions

Identify most inefficient practices – per region / individual growers

Interact with growers - feedback sessions

Explore options to improve efficiencies by altering practices / field operations

e.g. lower application levels of chemicals or fertilizers

use decision support systems, e.g. irrigation scheduling tools / fertilizer recommendations

Improve environmental & financial sustainability

Discussion and Conclusions

Acknowledgements

Potato growers in different regions

Potatoes South Africa

University of Pretoria

Netherlands Embassy

THRIP