Dry Bean Cultivar Recommendations 2019-2020

2019/20 • Droëboonkultivaraanbevelings • Dry Bean Cultivar Recommendations

LNR Graangewasse ARC Grain Crops

D. FourieLNR-Graangewasse/ARC-Grain Crops

Privaatsak/Private Bag X1251, Potchefstroom, 2520, Tel.: 018 299 6312, Faks/Fax: 018 297 6572

DroëboonkultivaraanbevelingsDroëboonkultivaraanbevelingsDry Bean Cultivar RecommendationsDry Bean Cultivar Recommendations

DroëboonkultivaraanbevelingsDry Bean Cultivar Recommendations

1

Introduction

This pamphlet is aimed at helping producers decide on the best bean cultivars for their particular conditions. Recommendations are based on the results of the National Dry Bean Cultivar Trials. Three seasons' data were used for this purpose (2016/17 to 2018/19). The trials were made possible by the financial support of the Agricultural Research Council (ARC), the Dry Bean Producers’ Organization (DPO) and the seed companies. A large number of co-operators conducted trials i.e. the Department of Agriculture of KZN, agricultural co-ops and agricultural companies. The DPO made a large contribution in this regard.

How to use this information

First decide on a seed type, for instance Red Speckled beans or Small White Canning beans. It is important to keep the demand and possible prices in mind. Contact the DPO at 012 819 8100 or 082 388 0510 for more information.

From the available cultivars choose those with the highest mean yield and yield reliability. Table 1 shows the data of 22 cultivars for the 2018/19 season and Table 2 shows data of these cultivars for three seasons (2016/17-2018/19).

Some cultivars are better adapted in certain production areas but this is not shown in the yield reliability table. Use Table 3 to compare the mean yield of the cultivars for your production area.

Compare cultivars in Tables 1 and 2 at a realistic yield target for your particular farm. The nearer the calculated yield of a cultivar comes to the yield target, the higher its yield potential at that particular target. This indicates higher yield stability.

Thereafter study the characteristics of the cultivar of your choice (Table 4) to ensure that it has no undesired characteristics with respect to: disease susceptibility, growing season requirements or seed size.

Cultivars do not differ much with respect to their susceptibility to

Inleiding

Die doel van hierdie pamflet is om produsente te help om die beste bonekultivars vir hulle omstandighede te kies. Dit is opgestel na aanleiding van die resultate van die Nasionale Droëboonkultivar-proewe. Drie seisoene se data is gebruik (2016/17 tot 2018/19). Die proewe is moontlik gemaak deur die finansiële ondersteuning van die Landbounavorsingsraad LNR (IGG), die Droëbone Produsente-Organisasie (DPO) en saadmaatskappye. 'n Groot aantal medewerkers het proewe uitgevoer soos die KZN Departement van Landbou, landbou koöperasies en landbou maatskappye. Die DPO het 'n groot bydrae in die verband gelewer.

Hoe om die inligting te gebruik

Besluit eers op 'n saadtipe byvoorbeeld Rooi Gespikkelde bone of Kleinwit Inmaakbone. Doen dit aan die hand van die aanvraag, ondervinding en moontlike pryse. Kontak die DPO by 012 819 8100 of 082 388 0510 vir meer inligting.

�Kies tussen beskikbare kultivars dié met die hoogste gemiddelde opbrengs en oessekerheid. Tabel 1 toon 22 kultivars vir die 2018/2019 seisoen en Tabel 2 toon die inligting van hierdie kultivars oor drie seisoene (2016/17-2018/19).

�Sommige kultivars is beter aangepas in sekere produksiegebie-de en dit word nie weerspieël in die oessekerheid nie. Kyk dus hoe die kultivars met mekaar vergelyk in u produksiegebied (Tabel 3).

�Vergelyk kultivars in Tabelle 1 en 2 met mekaar by realistiese opbrengsmikpunte vir u plaas. Hoe nader die kultivar se berekende opbrengs aan 'n bepaalde mikpunt is, hoe hoër is die opbrengspotensiaal by die betrokke mikpunt. Dit dui op hoër opbrengstabiliteit.

Kyk nou na die eienskappe van die kultivar (Tabel 4) om seker te maak dat dit nie ongewenste eienskappe het ten opsigte van, byvoorbeeld: siektevatbaarheid, groeiseisoenlengte en saadgrootte nie.

2019/2020

2LNR Graangewasse ARC Grain Crops

bacterial diseases, root diseases and Ascochyta (they are all susceptible except Kranskop-HR1 with halo blight resistance. Werna and RS 7 with common blight resistance) but this is not indicated in Table 4.

Determine the possible market for a specific cultivar, for instance whether the canning quality, seed size and colour are acceptable to bean dealers. This determines the price and therefore the profitability.

Order seed from your local cooperative, agricultural company, seed dealer or directly from the seed company. Do this one season in advance to prevent disappointment. In the case of a new cultivar it must be borne in mind that at least two years (probably three years) are needed to produce sufficient certified seed.

Insist on Disease Free Certified seed to limit the detrimental effect of seed borne diseases. If this is not available, you should ensure that it is at least certified.

Factors that determine adaptation

Rust is more common in KwaZulu-Natal and Mpumalanga especially on late plantings. Avoid rust susceptible cultivars in these areas. The risk can be reduced by planting as early as possible and/or by the application of effective chemical control.

In Table 4 the effect of fungicides on the yield of different cultivars on sprayed and unsprayed trials is compared for three seasons at Cedara and Greytown. The percentages indicate the largest yield increase that a producer can expect as a result of the control of fungal diseases. In the case of rust resistant cultivars, the control of other fungal diseases e.g. Ascochyta and angular leaf spot (ALS) contributes to a yield increase. Please note that for some cultivars the results varied greatly between seasons. These figures must therefore only be taken as indication of what could happen if conditions are favourable for the development of fungal diseases. The effect of fungicide application will be less striking in productions further west.

All small seeded cultivars are resistant to Angler Leaf Spot

(ALS). Most large seeded cultivars are susceptible. Five (5)

resistant cultivars were included in the past season's trials, i.e.:

PAN 9292, PAN 9216, PAN 9213, Tygerberg and Kamiesberg.

Bacterial diseases, especially halo blight and bacterial brown

spot, are more common west of the Drakensberg than in

KwaZulu-Natal.

Cultivars with a short growing season as well as a

determinate growth habit generally have a lower yield potential

(especially in areas with cool nights), than those with a long

growing season but are better adapted to higher night

temperatures.

Decide on a cultivar that fits into the available growing

season. Seven days can generally be deducted from the length

of the growing season indicated in Table 4 as the beans are

already physiologically mature at this stage and will not be

Kultivars verskil min van mekaar in hulle vatbaarheid vir bakteriese siektes, wortelsiektes en Ascocyta. Almal is vatbaar behalwe Kranskop-HR 1 met vetvleksiekte weerstand. Werna en RS 7 met gewone skroei weerstand, maar dit word nie in Tabel 4 aangetoon nie.

Stel vas wat die bemarkingsmoontlikhede van die bepaalde kultivar is, byvoorbeeld of die inmaakkwaliteit, saadgrootte en kleur vir die inmakers of bonehandelaars aanvaarbaar is. Dit bepaal die prys en dus die winsgewendheid.

Bestel saad deur u koöperasie, landboumaatskappy, saad-handelaar of direk van die betrokke saadfirma. Doen dit een seisoen vooruit om te verseker dat u saad kry. Waar aangedui word dat dit 'n nuwe kultivar is moet in gedagte gehou word dat twee tot drie jaar nodig is om voldoende gesertifiseerde saad daarvan te produseer.

Dring aan op Siektevry Gesertifiseerde saad om die gevaar van saadgedraagde siektes te beperk (bakteriese siektes en antraknose). As dit nie beskikbaar is nie, gebruik minstens gesertifiseerde saad.

Faktore wat kultivaraanpassing beïnvloed

Roes kom meer in KwaZulu-Natal en Mpumalanga voor, veral tydens nat seisoene en by laat aanplantings. Roesvatbare kultivars moet dus in dié gebiede vermy word. Die risiko kan verminder word deur so vroeg moontlik te plant en/of goeie chemiese beheer toe te pas.

�In Tabel 4 word die invloed van swamdoders op die gemiddelde opbrengs, oor drie seisoene, van verskillende kultivars op bespuite en onbespuite proewe op Cedara en Greytown, gegee. Die persentasie dui die grootste moontlike opbrengsverhoging aan wat 'n produsent kan verwag as gevolg van die beheer van swamsiektes. In die geval van kultivars met roesweerstand, was die opbrengsverhogings die gevolg van die beheer van ander swamsiektes byvoorbeeld Ascochyta en hoekige blaarvlek (HBV). Let asseblief daarop dat die resultate van sommige kultivars baie tussen seisoene gewissel het en groot afwykings, van die gemiddeldes wat hier gegee word, kom dus voor. Hierdie syfers moet slegs beskou word as aanduiding van wat kan gebeur as toestande gunstig is vir die ontwikkeling van swamsiektes. Hoe verder wes die kultivars geplant word, hoe kleiner sal die effek van swambeheer wees.

�Alle kleinsadige kultivars het weerstand teen hoekige

blaarvlek (HBV). Die meeste grootsadige kultivars is vatbaar

maar vyf (5) met weerstand was die afgelope seisoen ingesluit:

PAN 9292, PAN 9216, PAN 9213, Tygerberg en Kamiesberg.

�Besmetting met bakteriese siektes, veral vetvlek en

bakteriese bruinvlek, is meer algemeen wes van die Drakens-

berge as in KwaZulu-Natal.

�Kultivars met 'n kort groeiseisoen en 'n bepaalde groei-

wyse het oor die algemeen 'n laer opbrengspotensiaal (veral in

gebiede met koue nagte) maar is beter aangepas by hoër

nagtemperature.



harmed by frost. High or low temperatures will shorten or

lengthen the growing season and the figures in Table 4 must

therefore not be regarded as absolute. Under hot dry conditions

before harvest time, beans will ripen on average 10 days earlier

than normal. Under cool wet conditions, beans ripen 10 to 20

days later than normal.

Small White Canning beans

There is a good market for canning beans. Only cultivars that are

acceptable to the canners should be planted as the market for pre-

packed Small White beans is limited.

Teebus-RR 1 is has a determinate growth habit and good

resistance to lodging and shattering. It is resistant to rust and BCMV.

It is similar to Teebus except that it is resistant to rust and is widely

adapted. It has good canning quality that is acceptable to the

canners. Seed is available.

�PAN 123 had a high mean yield over three seasons and good

disease resistance. It has good canning quality and has been

approved for commercial scale canning. Seed is available.

SW 1 had the highest mean yield of the small white canning beans

over a three year period. This is a new cultivar and is undergoing

canning tests. No seed is available.

PAN 9141 is a new cultivar. It has a determinate growth habit and

good resistance to lodging.

Caledon has an indeterminate growth habit and has been

approved for commercial scale canning.

Dongara is a new cultivar with a determinate growth habit and

good resistance to lodging.

Red Speckled beans

There is a good market for Red Speckled Beans and high prices can be obtained, but the market can discriminate against cultivars with small seeds or a dark background colour.

Cultivars of which seed is available: Long season cultivars with high mean yield, and yield reliability as well as good seed

quality and disease resistance are: Tygerberg, Kamiesberg,

PAN 9292, RS 5, RS 6, PAN 9216, OPS-RS 4, KRANSKOP-

HR 1, PAN 148, DBS 310 and Kranskop. Yield differences in -1this group can be as high as 0.47 t ha . PAN 9292 and Werna

had the smallest seeds of the Red Speckled sugar beans and

Tygerberg, Oribi and PAN 9216 the largest. RS 5 and Oribi has good lodging resistance.

Cultivars of which no seed is available: RS 7 and Werna.

Kranskop has a lower yield potential than most of the long season cultivars and was used as the standard.

�Kies 'n kultivar wat inpas in die beskikbare groeiseisoen. Oor

die algemeen kan 7 dae afgetrek word van die groeiseisoen-

lengte wat in Tabel 4 aangegee word omdat die bone dan reeds

fisiologies volwasse is en nie meer deur ryp benadeel sal word

nie. Hoë of lae temperature sal die groeiseisoen verkort of

verleng en die syfers in Tabel 4 moet dus nie as absoluut beskou

word nie. Kultivars kan gemiddeld 10 dae vroeër as normaal ryp

word weens warm droë toestande voor oestyd. As gevolg van

koel nat toestande kan hulle 10 tot 20 dae later as normaal ryp

word.

Kleinwit Inmaakbone

Daar is 'n goeie mark vir inmaakbone. Slegs kultivars wat deur die

inmakers aanvaar word, behoort aangeplant te word aangesien die

mark vir Klein Wit verpakkingsbone beperk is.

Teebus-RR 1 het 'n hoë gemiddelde opbrengs oor drie seisoene

gehad. Dit kom baie ooreen met Teebus maar het goeie

roesweerstand en is wyd aangepas. Die inmaakkwaliteit is goed en is

aanvaarbaar vir die inmakers. Saad is beskikbaar.

PAN 123 het 'n hoë gemiddelde opbrengs oor drie seisoene gehad

en het goeie roesweerstand. Die inmaakkwaliteit is goed en is

aanvaarbaar vir die inmakers. Saad is beskikbaar.

SW 1 het die hoogste gemiddelde opbrengs van die Kleinwit

Inmaakbone oor 'n drie jaar tydperk, gehad. Dit is 'n nuwe kultivar

en ondergaan nog fabriekstoetse. Geen saad is beskikbaar nie.

PAN 9141 is 'n nuwe kultivar en het 'n bepaalde groeiwyse en

goeie weerstand teen omval.

Caledon het 'n onbepaalde groeiwyse en die inmaakkwaliteit is

goed en aanvaarbaar vir die inmakers.

Dongara is 'n nuwe kultivar met 'n bepaalde groeiwyse.

Rooi Gespikkelde bone

Daar is 'n groot aanvraag vir Rooi Gespikkelde bone en goeie pryse word behaal, maar die mark kan diskrimineer teen kultivars met klein sade of 'n donker agtergrondkleur.

Kultivars waarvan daar saad beskikbaar is: lang seisoen kultivars met hoë gemiddelde opbrengs en oessekerheid, sowel as goeie saadkwaliteit en siekteweerstand is Tygerberg, Kamiesberg, PAN 9292, RS 5, RS 6, PAN 9216, OPS-RS 4, KRANSKOP-HR 1, PAN 148, DBS 310 en Kranskop. Op-

-1 brengsverskille binne die groep kan so hoog as 0.47 t ha wees. PAN 9292 en Werna het die kleinste sade in hierdie groep en Tygerberg, Oribi en PAN 9216 die grootste. RS 5 en Oribi het goeie staanvermoë.

Kultivars waarvan daar nie saad hierdie seisoen beskikbaar is nie: RS 7 en Werna.

Kranskop het 'n laer opbrengspotensiaal as meeste van die



Painted Lady

No cultivar of this seed type was evaluated during the 2018/19 season. Painted Lady cultivars are mainly produced in the Western Cape under irrigation because of its disease susceptibility and quality requirements. The market is very limited.

Other seed types

Carioca beans

The market for Carioca beans is limited and producers must assure themselves of a market before planting these cultivars. Mkuzi and CAR 2008 (not included in trials) are widely adapted and have high levels of resistance to nearly all diseases. However, no seed are available.

Large White Kidney beans

There is a limited local market for Large White Kidney beans. They fetch high prices in seasons when over-production does not occur.

SSN 1 (not included in the trials) is the only cultivar in this seed type. Kidney beans are sensitive to high temperatures during the flowering period. Bees are necessary for pollination. They are only recommended for the cool high rainfall areas where high yields can be obtained. Because of their disease resistance, kidney beans are better adapted in these areas than, for instance, Red Speckled beans. No certified seed is available. The market for kidney beans is restricted.

Further information

A handy source of information is the Dry Bean Production Manual that can be ordered from the DPO or ARC-GCI.

This publication is also available on:http://www.arc.agric.za/home.asp?pid=370&toolid=63&sec=1231

Seed can be ordered from seed dealers or directly from the suppliers. If you encounter problems with your order, please contact the following:

Dry Bean Seed (Pty) Ltd, P.O. Box 15587, Lynn East, 0039. Tel. 082 388 0510

PANNAR, PO Box 19, Greytown, 3250. Tel. (033) 413 9500, Fax. (033) 413 2618.

McDonald Seeds, P.O. Box 40, Mkondeni, 3212. Tel/Fax 033 346 0121

langseisoenkultivars. Dit was ook as kontrole gebruik.

Lappiesbone

Geen kultivar van hierdie saadtipe is tydens die 2018/19 seisoen geëvalueer nie. Lappiesbone word hoofsaaklik in die Wes-Kaap onder besproeiing verbou vanweë sy siektevat-baarheid en kwaliteitsvereistes. Die mark daarvoor is baie beperk.

Ander saadtipes

Carioca bone

Die mark vir Carioca bone is baie beperk en produsente moet seker maak van 'n afset alvorens hulle dit plant. Geen Carioca kultivars is die afgelope seisoen in die kultivar proewe ingesluit nie. Mkuzi en CAR 2008 (nie in proewe) het hoë opbrengste en oessekerheid, is wyd aangepas en het goeie siekte weerstand. Saad is egter nie beskikbaar nie.

Grootwit Nierbone

Daar is 'n beperkte plaaslike mark vir Grootwit Nierbone. Dit behaal hoë pryse in seisoene wanneer oorproduksie nie voorkom nie.

• SSN 1 (nie in proewe) is die enigste kultivar in hierdie saadtipe. Bye is nodig vir bestuiwing. Nierbone is baie gevoelig vir hoë temperature gedurende die blomperiode en dit word daarom slegs aanbeveel vir koel hoë reënvalgebiede waar dit hoë opbrengste gee. Weens sy hoë siekteweerstand is nierbone in hierdie gebiede beter aangepas as byvoorbeeld Rooi Gespikkelde bone. Geen gesertifi-seerde saad is beskikbaar nie. Die mark vir nierbone is baie beperk.

Verdere inligting

'n Nuttige bron van verdere inligting is die Droëbone Produksie-handleiding wat op bestelling verkrygbaar is vanaf die DPO of LNR-IGG.

Hierdie publikasie is ook beskikbaar op:http://www.arc.agric.za/home.asp?pid=370&toolid=63&sec=1231

Saad kan by saadhandelaars of direk by die leweransiers bestel word. Indien u probleme ondervind met u bestelling kontak die volgende:

Dry Bean Seed (Pty) Ltd., Posbus 15587, Lynn East, 0039. Tel. 082 388 0510

PANNAR, Posbus 19, Greytown, 3250. Tel. (033) 413 9500, Faks. (033) 413 2618.

McDonald Seeds, P.O. Box 40, Mkondeni, 3212. Tel/Fax 033 346 0121



Tab

el 1�

Oes

seke

rhei

d b

y d

ie v

ersk

ille

nd

e o

pb

reng

smik

punte

, 2018/1

9Ta

ble

1

Y�ie

ld r

elia

bilit

y at

dif

fere

nt

yiel

d t

arg

ets,

2018/1

9

Waa

rdes

met

(*) s

terr

etjie

s aa

nged

ui b

inne

die

selfd

e ko

lom

is b

etek

enis

vol h

oër

as d

ie g

emid

deld

(*) S

tar

prin

ted

valu

es in

the

sam

e co

lum

n ar

e si

gnifi

cant

ly h

ighe

r th

an t

he m

ean

KU

LTIV

AR

-1O

PBR

ENG

SMIK

PUN

TE (

t ha

)G

EMB

-KO

EFF

D-P

AR

AM

CU

LTIV

AR

-1Y

IELD

TA

RG

ETS

(t h

a)

MEA

NB

-CO

EFF

D-P

AR

AM

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

KLE

INW

IT I

NM

AA

K /

SM

ALL

WH

ITE

CA

NN

ING

TEEB

US-

RR

1

0.15

*

0.68

*

1.22

*

1.75

*

2.28

*

2.81

*

3.34

*

3.87

*

2.16

1.06

310.

0819

SW 1

0.00

0.56

1.17

*

1.77

*

2.37

*

2.97

*

3.58

*

4.18

*

2.28

1.20

600.

1286

PAN

123

0.10

0.64

*

1.19

*

1.73

*

2.28

*

2.82

*

3.37

*

3.91

*

2.25

1.09

050.

1328

PAN

914

1

0.02

0.50

0.99

1.47

1.95

2.44

2.92

3.40

2.01

0.96

710.

1396

CA

LED

ON

0.05

0.52

0.99

1.46

1.93

2.39

2.86

3.33

1.97

0.93

730.

1285

DO

NG

AR

A

0.00

0.17

0.71

1.25

1.79

2.33

2.86

3.40

1.72

1.07

560.

1089

RO

OI

GES

PIK

KEL

D /

RED

SPE

CK

LED

K

RA

NSK

OP

0.00

0.11

0.62

1.13

1.64

2.15

2.66

3.17

1.82

1.01

990.

2301

KR

AN

SKO

P-H

R 1

0.00

0.37

0.82

1.26

1.71

2.15

2.60

3.04

1.72

0.89

150.

1026

OPS

-RS

4

0.04

0.52

0.99

1.47

1.94

2.42

2.89

3.36

2.04

0.94

880.

1597

RS

5

0.01

0.50

0.99

1.48

1.97

2.46

2.95

3.44

1.98

0.97

910.

1224

RS

6

0.18

*

0.69

*

1.21

*

1.72

*

2.23

*

2.75

*

3.26

*

3.77

*

2.13

1.02

630.

0841

PAN

148

0.00

0.24

0.73

1.23

1.72

2.22

2.71

3.21

1.84

0.98

990.

1811

PAN

929

2

0.00

0.42

0.99

1.55

2.12

*

2.68

*

3.24

*

3.81

*

2.01

1.12

790.

1029

DB

S 31

0

0.00

0.35

0.81

1.26

1.71

2.16

2.62

3.07

1.91

0.90

630.

2057

WER

NA

0.19

* 0.

69*

1.19

* 1.

68*

2.

18*

2.

68*

3.

17*

3.

67*

2.

010.

9940

0.05

14

TYG

ERB

ERG

0.00

0.41

0.84

1.28

1.72

2.16

2.

59

3.03

1.

930.

8742

0.20

46

KA

MIE

SBER

G 0.

19*

0.62

* 1.

05 1.

48 1.

91 2.

34

2.77

3.

20

2.10

0.85

840.

1876

PAN

921

6 0.

03 0.

51 0.

99 1.

47 1.

94 2.

42

2.90

3.

38

1.98

0.95

720.

1306

RS

7 0.

38*

0.83

* 1.

28*

1.74

*

2.19

*

2.64

*

3.10

3.

55

2.21

0.90

630.

1068

OR

IBI

0.00

0.30

0.84

1.38

1.92

2.46

3.

00

3.54

1.

811.

0825

0.08

95

PAN

921

3 0.

18*

0.69

* 1.

20*

1.71

*

2.23

*

2.74

*

3.25

*

3.76

*

2.04

1.02

370.

0513

PAN

924

4 0.

00 0.

38 0.

91 1.

45 1.

99 2.

53

3.06

3.

60

1.93

1.07

450.

1099



Tab

el 2

O

esse

kerh

eid

by

vers

killen

de

op

bre

ng

smik

punte

, 2016/1

7 -

2018/1

9Ta

ble

2

Yie

ld r

elia

bilit

y at

dif

fere

nt

targ

ets,

2016/1

7 -

2018/1

9

Waa

rdes

met

(*) s

terr

etjie

s aa

nged

ui b

inne

die

selfd

e ko

lom

is b

etek

enis

vol h

oër

as d

ie g

emid

deld

(*) S

tar

prin

ted

valu

es in

the

sam

e co

lum

n ar

e si

gnifi

cant

ly h

ighe

r th

an t

he m

ean

KULT

IVA

R-1

OPB

REN

GSM

IKPU

NTE

(t h

a)

GEM

B-KO

EFF

D-P

ARA

MCU

LTIV

AR

-1YI

ELD

TA

RGET

S (t

ha

)M

EAN

B-CO

EFF

D-P

ARA

M0.

5

1.0

1.5

2.0

2.5

3.0

3.5

4.0

KLEI

NW

IT IN

MA

AK

/ SM

ALL

WH

ITE

CAN

NIN

G

TEEB

US-

RR 1

0.00

0.51

1.02

1.54

2.05

2.56

3.07

3.58

2.42

1.02

420.

1321

SW 1

0.00

0.54

1.08

1.62

*

2.16

*

2.70

*

3.25

*

3.79

*

2.61

1.08

190.

1833

PAN

123

0.00

0.45

0.98

1.50

2.03

2.55

3.07

3.60

2.57

1.04

850.

2451

PAN

914

10.

00

0.49

0.98

1.48

1.97

2.47

2.96

3.46

2.35

0.99

010.

1326

CALE

DO

N0.

00

0.41

0.89

1.37

1.85

2.33

2.81

3.30

2.33

0.96

270.

1971

ROO

I GES

PIKK

ELD

/ RE

D S

PECK

LED

KRA

NSK

OP

0.00

0.36

0.87

1.38

1.88

2.39

2.90

3.40

2.21

1.01

310.

1108

KRA

NSK

OP-

HR

10.

00

0.45

0.90

1.36

1.82

2.27

2.73

3.19

2.20

0.91

260.

1322

OPS

RS

40.

12*

0.58

1.05

1.51

1.98

2.45

2.91

3.38

2.32

0.93

220.

1096

RS 5

0.00

0.48

0.99

1.50

2.01

2.52

3.03

3.54

2.32

1.02

040.

1012

RS 6

0.17

*

0.65

*

1.14

*

1.62

*

2.11

*

2.59

3.07

3.56

2.40

0.96

730.

0896

PAN

148

0.00

0.43

0.93

1.42

1.91

2.41

2.90

3.39

2.28

0.98

630.

1267

PAN

929

20.

00

0.51

1.06

1.62

*

2.17

*

2.73

*

3.29

*

3.84

*

2.47

1.11

140.

0987

DBS

310

0.00

0.35

0.85

1.36

1.86

2.37

2.87

3.38

2.26

1.01

080.

1488

WER

NA

0.25

*

0.75

*

1.24

*

1.74

*

2.24

*

2.73

*

3.23

*

3.72

*

2.40

0.99

110.

0425

TYG

ERBE

RG0.

15*

0.65

*

1.14

*

1.64

*

2.13

*

2.62

*

3.12

*

3.61

*

2.56

0.98

890.

1673

KAM

IESB

ERG

0.24

*

0.74

*

1.24

*

1.74

*

2.23

*

2.73

*

3.23

*

3.73

*

2.64

0.99

550.

1499

PAN

921

60.

070.

551.

021.

501.

972.

452.

923.

392.

310.

9496

0.11

32

RS 7

0.28

*0.

77*

1.26

*1.

75*

2.24

*2.

73*

3.22

*3.

71*

2.55

0.98

030.

0996

ORI

BI0.

000.

130.

651.

171.

682.

202.

723.

232.

171.

0332

0.20

23




Tab

el 3

: Gem

idd

eld

e sa

ado

pb

reng

s (k

g/h

a-1)

van v

ers

killen

de

pro

duks

ieg

ebie

de,

20

18/1

9 e

n 2

01

6-1

9

Tab

le 3

: Mea

n s

eed

yie

ld (

kg/h

a-1)

of

dif

fere

nt

pro

duct

ion r

egio

ns,

201

8/1

9 a

nd

20

16-1

9

Kult

ivars

W

est

eli

ke

geb

ied

M

pum

ala

ng

a

Oo

s-V

ryst

aat

K

waZulu

-Nata

l

* G

em

idd

eld

R

ang

ord

e

Saad

firm

a

Cult

ivars

W

est

ern

reg

ion

East

ern

Fre

e S

tate

* M

ean

R

ank

Seed

Fir

m

2

01

6-1

9 2

01

8/1

9 2

01

6-1

9

20

18

/19

2

01

6-1

9

20

18

/19

2

01

6-1

9

20

18

/19

2

01

6-1

9

20

18

/19

2

01

6-1

9

20

18

/19

Kle

inw

it I

nm

aak

/ Sm

all

Whit

e C

annin

g

Teeb

us-R

R 1

1620

1231

1857

1720

1634

14

47

3279

27

50

2098

17

87

10

11

DB

S

SW 1

21

17 16

15 19

01 12

01 19

12

1566

33

99

3044

23

32

1857

4

7

IG

G/G

CI

PAN

123

15

64 12

24 18

63 12

66 19

57

1860

34

15

2891

22

00

1810

6

8

PA

NN

AR

PAN

914

1 14

85 11

89 19

77 22

55 16

00

1221

31

40

2533

20

51

1800

13

9

PA

NN

AR

CA

LED

ON

1688

1409

1576

1093

1756

15

15

3079

25

41

2025

16

40

17

15

Pro-

Seed

DO

NG

AR

A -

1047

-

916

-

98

8

-

2408

-

13

40

-

22

Pro-

Seed

Ro

oi

Gesp

ikke

ld /

Red

Sp

eck

led

Kra

nsko

p 19

00 15

43 15

69 85

2

1790

16

80

2750

21

91

2002

15

67

18

18

DB

S

Kra

nsko

p-H

R 1

2110

1535

1654

814

17

49

1472

26

02

2180

20

29

1500

16

20

D

BS

OPS

-RS

4 19

60 21

93 17

60 12

47 17

06

1539

28

92

2479

20

80

1865

11

5

D

BS

RS

5 20

10 16

81 15

78 94

0

1696

15

13

2973

25

12

2064

16

62

12

14

DB

S

RS

6 20

84 16

34 17

68 11

68 19

69

2095

29

54

2541

21

94

1860

7

6

D

BS

PAN

148

20

59 17

14 15

86 74

0

1738

15

77

2799

21

93

2046

15

56

14

19

PAN

NA

R

PAN

929

2 17

87 12

84 16

63 76

9

1799

16

18

3258

25

99

2127

15

68

8

17

PAN

NA

R

DB

S 31

0 16

53 11

98 19

80 20

15 16

10

1525

28

81

2307

20

31

1761

15

12

D

BS

Wer

na

2003

1817

2034

1943

1854

17

02

3004

24

59

2224

19

80

5

2

IGG

/GC

I

Tyge

rber

g 23

84 18

99 17

61 91

8

2152

17

54

3097

22

39

2349

17

03

2

13

DB

S

Kam

iesb

erg

2207

2102

1861

974

20

35

1820

32

57

2577

23

40

1868

3

4

D

BS

PAN

921

6 17

67 14

85 20

10 20

81 17

48

1437

29

26

2486

21

13

1872

9

3

PA

NN

AR

RS7

23

52 20

36 20

61 17

75 19

37

1954

31

31

2543

23

70

2077

1

1

D

BS

Orib

i 16

80 96

6 12

32 58

5

1698

15

03

2880

24

45

1873

13

75

19

21

Pro-

Seed

PAN

921

3 -

1975

-

1174

-

1514

-

25

21

-

1796

-

10

PA

NN

AR

PAN

924

4 -

1288

-

1291

-

1352

-

25

13

-

1611

-

16

PA

NN

AR

* G

emid

deld

e va

n al

le p

roew

e in

Sui

d-A

frik

a /

Mea

n of

all

tria

ls in

Sou

th A

fric

a


*O

ne y

ear

data�

**Tw

o ye

ar d

ata

Tipe

/Typ

e I

B

epaa

lde

groe

iwys

e: B

lom

me

aan

punt

van

tak

ke b

eeïn

dig

stam

verl

engi

ng /

Det

erm

inat

e gr

owth

hab

it: F

low

ers

at e

nd o

f br

anch

es t

op s

tem

gro

wth

Tipe

/Typ

e II

O

nbep

aald

e gr

oeiw

yse:

Min

kor

t en

reg

opgr

oeie

nde

syta

kke,

gro

ei n

og n

a bl

om /

Inde

term

inat

e gr

owth

hab

it: F

ew s

hort

and

upr

ight

bra

nche

s, g

row

aft

er f

low

erin

gTi

pe/T

ype

III O

nbep

aald

e gr

oeiw

yse:

Bai

e la

ng e

n pl

at r

anke

nde

syta

kke

/ In

dete

rmin

ate

grow

th h

abit

: Ver

y lo

ng a

nd lo

w t

raili

ng b

ranc

hes

V ��

Va

tbaa

r /

Susc

epti

ble:

che

mie

se b

ehee

r no

odsa

aklik

/ c

hem

ical

con

trol

nec

essa

ry,

MV

�� M

atig

vat

baar

/ M

oder

atel

y su

scep

tibl

e: c

hem

iese

beh

eer

gew

oonl

ik n

odig

/ c

hem

ical

con

tol n

orm

ally

nee

ded

MB

�� M

atig

e w

eers

tand

/ M

oder

atel

y re

sist

ant:

che

mis

e be

heer

nie

nod

ig n

ie /

no

chem

ical

con

trol

nee

ded

B

� G

oeie

wee

rsta

nd /

Goo

d re

sist

ance

: gee

n ch

emie

se b

ehee

r no

dig

/ no

che

mic

al c

ontr

ol n

eede

dB

CM

V B

oont

jie M

osai

ek V

irus

/ B

ean

Com

mon

Mos

aic

Vir

usH

BV

/ A

LS H

oeki

ge b

laar

vlek

/ A

ngul

ar le

af s

pot

Tab

el 4

: Alg

emen

e in

lig

ting

oo

r d

roëb

oo

nku

ltiv

ars

2016-2

019 e

n 2

018/1

9

Tab

le 4

: Gen

eral

info

rmat

ion o

n d

ry b

ean c

ult

ivar

s 2016-2

019 a

nd

2018/1

9

Kult

ivars

/ C

ult

ivars

Saad

besk

ikb

aar

Gro

eiw

yse

Gro

eis

eis

oen (

dae)

Sad

e p

er

10

0g

O

mval

O

op

spri

ng

Sie

kte

s

Op

bre

ng

sverh

og

ing

(%

) ag

v s

wam

do

der

Gro

win

g s

easo

n (

days)

Seed

s p

er

10

0g

Lod

gin

g

Shatt

eri

ng

Dis

ease

s

Yie

ld i

ncr

ease

(%

) as

a r

esu

lt o

f fu

ng

icid

es

Seed

avail

ab

le G

row

th

hab

it (2

01

6-1

9)

(2

01

6-1

9)

HB

V

Ro

es

B

CM

V

20

16

-19

2

01

7/1

8

ALS

R

ust

K

lein

wit

/ S

mall

Whit

e

Teeb

us- R

R1

Ja/Y

es I

104

407

B

B

B

B

B

10

9

SW

1

Nee

/No

I 108

505

B

B

B

B

B

6

1

PA

N 1

23

Ja/Y

es I

110

470

B

B

B

B

B

6

5

PA

N 9

14

1

Nee

/No

I 108

422

B

B

B

B

B

11

9

C

ALE

DO

N

Ja

/Yes

II 107

473

B

B

-

-

-

-3

1

D

ON

GA

RA

Ja/Y

es

I 98

488

B

B

-

-

-

6

-

R

oo

i G

esp

ikkeld

/ R

ed

Sp

eck

led

K

ransk

op

Ja/Y

es

II

108

219

MV

B

V

MB

B

48

29

K

ransk

op

-HR

1

Ja/Y

es

II

108

225

MV

B

MB

MB

B

35

24

O

PS-R

S4

Ja/Y

es

II

110

233

MV

B

MB

MB

B

33

23

R

S5

Ja/Y

es

I

106

212

B

B

V

MB

V

27

28

R

S6

Ja/Y

es

II

109

231

MV

B

V

MB

B

21

20

PA

N 1

48

Ja/Y

es

II

108

237

MV

B

V

MB

B

36

32

PA

N 9

29

2

Ja/Y

es

II

108

240

MB

B

B

B

B

9

7

D

BS 3

10

Nee

/No

II

109

229

MV

B

V

MV

B

9

17

W

ern

a

Nee

/No

II

110

240

MV

B

V

MV

B

21

16

Ty

gerb

erg

Ja/Y

es

II

112

203

MV

B

B

B

B

31

12

K

am

iesb

erg

Ja/Y

es

II

109

210

MV

B

B

B

B

35

18

PA

N 9

21

6

Ja/Y

es

II

106

212

MV

B

B

B

B

20

12

RS 7

Nee

/No

II

110

237

MV

B

MB

MB

B

33

19

Ori

bi

Ja/Y

es

I

104

212

B

B

-

-

-

22

18

PAN

921

3

Ja/Y

es

II

110

*

224

*

MV

B

B

B

B

22

-

PAN

924

4

Ja/Y

es

II

108

**

225

**

MV

B

B

B

B

2

-


9

Verslag oor die droëbone strookproewe: 2018/19Report on the dry bean strip trials: 2018/19

September 2019D Fourie LNR-Instituut vir Graangewasse / ARC-Grain Crops Institute


Inleiding / Introduction

Sedert die 2006/07 seisoen word droëboonstrookproewe beplan en uitgevoer as 'n gesamentlike projek tussen die Droëbone Produsente Organisasie (DPO), die saadmaatskappy PANNAR en die LNR-Instituut vir Graangewasse (LNR-IGG) met die volgende doelwitte:a) Evaluering van die verskillende kommersieël beskikbare

droëboonkultivars op 'n skaal wat produsente in staat sal stel om dit te vergelyk met hulle eie toestande.

b) Vergelyking van die aanpassing en opbrengspotensiaal van kultivars op 'n groter skaal as in die nasionale droë-bone kultivarproewe.

c) Evaluering van akkerboukundige eienskappe soos weerstand teen omval, oopspring en geskiktheid vir meganiese oes.

d) Gebruik deur saadmaatskappye vir bemarkingsdoelein-des tydens inligtingsdae en besoeke deur produsente en verteenwoordigers.

Metodes / Methods

One 25kg bag of certified seed per cultivar was supplied for each trial and planted under the production practices of the producer in strips of three, four or eight rows. Each trial consisted of 12 Red Speckled cultivars, with a control strip at the start and finish, as well as after every four cultivars. Only one cultivar was used as control within each trial, but different controls were used in the different production regions (see Tables 1 - 4). The trials were planted and harvested at the same time as the commercial beans and a representative of a seed company supervised both activities. During the growing season producers and representatives visited the trials. Information days were held at some of the trials.

Die proefresultate is statisties ontleed en die opbrengs is bereken. -1Die opbrengs (t ha ) en die opbrengs as persentasie van die kontrole

asook hulle rangordes is bereken vir elke proef en produksiegebied. Die variasie tussen die kontrolestroke is gebruik om die uniformiteit (koëfisient van variasie (CV)) van 'n proef te bereken. Wanneer die CV te hoog was (groter as 15%), is die resultate as onbetroubaar beskou en is nie gebruik in die berekening van die gemiddeldes van 'n produksiegebied nie. Vir elke gebied is die gemiddelde opbrengs van die kultivars ook vergelyk met dié in die kultivarproewe. Wanneer die rangordes van 'n kultivar in die twee stelle proewe met drie of minder verskil het, is dit beskou as 'n goeie ooreenkoms.

RESULTATE / RESULTS

Thirteen (13) Red Speckled sugar (RSS) bean trials were planted in five provinces (Free State (7), Mpumalanga (1), North West (2), Limpopo (2) and KwaZulu-Natal (1)) during the 2018/19 season. Two Small White canning bean strip trials with four entries (PAN 123, PAN 9141, Caledon and Teebus-RR-1) were planted at Mpumalanga

and North West Provinces, respectively. The data of seven trials was reliable (CV<15%) to use in the report. Sederberg that was included in the 2017/18 trials was omitted and replaced by PAN 9244 during the 2018/19 season. Yields of the different sites varied mainly as a result of the difference in rainfall/irrigation and soil type. The yields

-1are expressed in t ha and as a percentage of the control. The ranks -1of the yield in t ha and percentage of the control differed slightly in a

few instances.

Wanneer die gemiddelde opbrengs van die strook- en kultivarproewe van die Rooi Gespikkelde suikerbone vergelyk word sien ons die volgende verskille en ooreenkomste: Comparing the means of the strip and cultivar trials of the red speckled sugar beans we observe the following:

Oos Vrystaat / Eastern Free State (Tabelle 1, 7 en 8)

a) Die resultate van ses (6) proewe was betroubaar om te gebruik.

b) Die gemiddelde opbrengs van die strookproewe was 20% -1(0.39 t ha ) hoër as dié van die kultivarproewe.

c) Kultivars met die hoogste opbrengste in die strookproewe tydens die 2018/19 seisoen was: Tygerberg, PAN 148, Kamiesberg, RS 6 en RS 5. Die rangordes van meeste kultivars in die strook- en kultivarproewe het ook goed vergelyk.

d) Die opbrengste van al die kultivars (behalwe OPS-RS 4 en Tygerberg) in die 2018/19 strookproewe het baie goed gekorreleer met opbrengste oor die drie jaar tydperk (2016-2019). PAN 9292, RS 5 en Kamiesberg het ook goeie ooreenkomste getoon tussen die strook- en kultivarproewe oor 'n drie jaar tydperk.

Mpumalanga (Tabelle 2, 7 en 8)

a) Slegs een proef is geplant en gebruik in die berekeninge.b) D ie gemiddelde opbrengs van die strookproewe was 39%

-1(0.75 t ha ) hoër as dié van die kutivarproef.c) T ygerbergberg het die hoogste opbrengs in die

strookproewe (2018/19) gelewer, gevolg deur PAN 148, Kamiesberg, RS 6 en OPS-RS 4. Rangordes van al die kultivars behalwe PAN 9292, PAN 9216, Tygerberg en Kamiesberg het goed gekorreleer met dié verkry in die kultivarproewe.

d) O or die langtermyn (2016-2019) het Kamiesberg, Tygerberg, OPS-RS 4, RS 6 en PAN 9216 goed presteer in die strookproewe. Die rangordes van al hierdie kultivars, behalwe PAN 9216, het goeie ooreenkomste met die kultivarproewe oor dieselfde tydperk getoon.

Noordwes / North West (Tables 3, 7 and 8)

a) The data of only one trial was reliable to use in the report.



-b) The mean yield of the strip trials was 34% higher (0.88 t ha1) than that of the cultivar trials.

c) PAN 148 had the highest mean yield in the strip trials followed by Kranskop, OPS-RS 4, RS 5 and Kamiesberg. The yield of PAN 9292, RS 5, OPS-RS 4, RS 6, Kranskop-HR 1 and PAN 9244 correlated well with yields obtained in the cultivar trials.

d) PAN 148 was the highest yielding cultivar in the strip trials over a three-year period followed by Kamiesberg, OPS-RS 4, RS 6 and Tygerberg. The ranking of PAN 9292, RS 5, RS 6, PAN 9216 and Kamiesberg correlated well with the ranking in the cultivar trails over the same period.

Limpopo – RSS (Table 4, 7 and 8)

a) The data of two (2) trials was used for the report.b) Tygerberg had the highest mean yield in the strip trials

during 2018/19 followed by RS 6, Kamiesberg, PAN 9216 and PAN 148.

c) RS 5 was the highest yielding cultivar over the past three seasons (2016-2019) followed by RS 6, Kranskop-HR 1, Tygerberg and Kamiesberg.

Small White Strip Trials (Table 5 & 6)

a) Two Small White canning bean trials were planted and used for the report.

b) PAN 123 had the highest mean yield in the strip trial planted in Mpumalanga, PAN 9141, Caledon and Teebus-RR 1.

c) Caledon was the highest yielding cultivar in North West, followed by PAN 123, PAN 9141 and Teebus-RR 1.

d) The rankings of all cultivars correlated well with the ranking in the cultivar trails over the same period.

Die waarde van die inligting / The value of the information

Die strookproef data kan gebruik te word as 'n aanduiding van die opbrengspotensiaal van die kultivars. Die groter oppervlakte wat geplant word en die meganisasie van die plant, oes en dors prosesse is vergelykbaar met normale boerderypraktyke. Die kultivarproefdata daarinteen, behoort gebruik te word om die relatiewe prestasies van al die beskikbare kultivars met mekaar te vergelyk. Dit is meer betroubaar want dit is die resultaat van 'n groter aantal proewe en onbetroubares word makliker geïdentifiseer en uitgeskakel.




Tab

le 1

. Y

ield

of

dry

be

an

cu

ltiv

ars

in

th

e s

trip

tri

als

in

th

e e

ast

ern

Fre

e S

tate

wit

h P

AN

148 a

s co

ntr

ol

CU

LTIV

AR

STR

IP T

RIA

LS

NA

TIO

NA

L C

ULT

IVA

R T

RIA

LS2018

/2019

Jaco

Bre

yten

bach

K

iew

iet

Ferr

eira

Ja

n H

amm

an

Mea

n Yi

eld

of T

rial

s

2018

/201

9

Four

iesb

urg

Eera

m

Petr

us S

teyn

No

Nam

e

Mea

n Yi

eld

%

Con

trol

Mea

n Yi

eld

%

Con

trol

M

ean

Yiel

d

%

Con

trol

M

ean

Yiel

d

Ran

k

% C

ontr

ol

Ran

k

Mea

n Yi

eld

Ran

k

(t h

a-1

)

(t h

a-1

) (t

ha

-1)

(t h

a-1

)

(t h

a-1

)

1PA

N 1

48

2.25

10

8

1.22

89 3.

05

121

2.

17

2

106

2

1.

58

6

2PA

N 9

292

2.

00

96 1.

30 95

2.56

10

1

1.95

7

97

6

1.

62

5

3R

S 5

2.

42

116

1.

58 11

5 2.

18

86

2.06

5

10

6

2

1.51

8

4O

PS-R

S 4

1.

87

90 1.

31 95

2.46

97

1.

88

10

94

8

1.54

7

5R

S 6

2.

15

103

1.

60 11

6 2.

54

100

2.

10

4

106

2

2.

10

1

6K

RA

NSK

OP

-HR

1

1.89

91

1.29

93 2.

42

96

1.87

11

93

9

1.

47

9

7PA

N 9

216

1.

79

86 1.

97 14

3 1.

91

76

1.89

9

10

2

4

1.44

10

8K

rans

kop

1.

83

88 1.

29 94

2.86

11

3

1.99

6

98

5

1.

68

4

9Ty

gerb

erg

2.

52

121

1.

41 10

2 2.

93

116

2.

29

1

113

1

1.

75

3

10K

amie

sber

g

2.33

11

2

1.21

88 2.

78

110

2.

11

3

103

3

1.

82

2

11PA

N 9

213

2.

13

102

1.

24 90

2.46

97

1.

94

8

96

7

1.51

8

12

PAN

924

4

1.89

90

1.12

82 2.

20

87

1.74

12

86

10

1.

35

11

Tria

l Mea

n

2.09

1.38

2.53

2.

00

1.61

Mea

n of

con

trol

2.

29 1.

21 2.

77

CV

(%

)

15.9

8

9.55

14.9

Pl

anti

ng d

ate

21

/12/

2018

H

arve

st d

ate

21

/05/

2019

10/0

4/20

19 22

/05/

2019



Table 2. Yield of dry bean cultivars in the strip trials in Mpumalanga with Kranskop as control

CULTIVAR

STRIP TRIALS NATIONAL CULTIVAR TRIALS

2018/2019

Eric de Vos Kinross

2018/2019

No

Name Mean Yield

Rank % Control

Rank Mean Yield Rank

(t ha-1) (t ha-1)

1 PAN 148 2.39 2 125 2 1.72 2

2 PAN 9292 1.68 8 88 8 0.77 11

3 RS 5 1.71 7 89 7 0.94 7

4 OPS-RS 4 2.06 5 108 5 1.25 4

5 RS 6 2.16 4 113 4 1.17 5

6 KRANSKOP-HR 1 1.38 12 73 12 0.81 10

7 PAN 9216 1.66 9 87 9 2.08 1

8 Kranskop 1.55 11 81 11 0.85 9

9 Tygerberg 2.52 1 132 1 0.92 8

10 Kamiesberg 2.24 3 118 3 0.97 6

11 PAN 9213 1.92 6 101 6 1.17 5

12 PAN 9244 1.64 10 86 10 1.29 3

Trial Mean 1.91 1.16

Mean of control 1.99

CV (%) 6.15

Planting date 12/12/2018

Harvest date 03/05/2019

Table 3. Yield of dry bean cultivars in the strip trials in North West Province with Kranskop as control

CULTIVAR

STRIP TRIALS

NATIONAL CULTIVAR TRIALS

2018/2019

Gielie van Niekerk

Brits 2018/2019

No

Name Mean Yield

Rank % Control

Rank Mean Yield Rank

(t ha-1) (t ha-1)

1 PAN 148 3.42 1 133 1 1.71 5

2 PAN 9292 2.36 9 92 9 1.28 11

3 RS 5 2.74 4 107 4 1.68 6

4 OPS-RS 4 2.78 3 108 3 2.19 1

5 RS 6 2.39 8 93 8 1.63 7

6 KRANSKOP-HR 1 2.44 7 95 7 1.54 8

7 PAN 9216 1.86 12 73 12 1.49 9

8 Kranskop 3.13 2 122 2 1.54 8

9 Tygerberg 2.15 11 84 11 1.90 4

10 Kamiesberg 2.68 5 105 5 2.10 2

11 PAN 9213 2.52 6 98 6 1.98 3

12 PAN 9244 2.35 10 91 10 1.29 10

Trial Mean 2.57 1.69

Mean of control 2.75

CV (%) 7.68

Planting date -

-



Tab

le 4

. Y

ield

of

dry

be

an

cu

ltiv

ars

in

th

e s

trip

tri

als

in

Lim

po

po

Pro

vin

ce w

ith

Kra

nsk

op

as

con

tro

l

CU

LTIV

AR

S

TR

IP T

RIA

LS

201

8/2

019

Lou

ma

Bo

erd

ery

O

elo

f d

e M

eye

r M

ea

n Y

ield

of

Tria

ls

Ma

ko

pa

R

oe

dta

n

No

N

ame

M

ean

Yiel

d

%

Con

trol

M

ean

Yiel

d

%

Con

trol

M

ean

Yiel

d

Ran

k

%

Con

trol

R

ank

(t

ha

-1)

(t

ha

-1)

1 PA

N 1

48

1.50

10

5 2.

53

113

2.02

5

109

5

2 PA

N 9

292

0.

97

68

2.00

89

1.

49

10

79

7

3 R

S 5

1.23

86

2.

50

112

1.87

7

99

11

4 O

PS-R

S 4

1.18

82

2.

11

94

1.65

9

88

10

5 R

S 6

2.19

15

2 2.

16

96

2.18

2

124

1

6 K

RA

NSK

OP

-HR

1

1.16

81

2.

42

108

1.79

8

95

8

7 PA

N 9

216

2.

15

149

1.98

88

2.

07

4 11

9 3

8 K

rans

kop

1.

23

86

2.61

11

6 1.

92

6 10

1 6

9 Ty

gerb

erg

1.

94

135

2.47

11

0 2.

21

1 12

3 2

10

Kam

iesb

erg

1.83

12

7 2.

45

109

2.14

3

118

4

11

PAN

921

3

1.21

84

2.

08

93

1.65

9

89

9

12

PAN

924

4

0.66

46

1.

59

71

1.13

11

59

12

Tria

l Mea

n

1.44

2.

24

1.84

10

0

Mea

n of

con

trol

2.

24

2.53

CV

(%

) 3.

04

2.24

Plan

ting

dat

e 22

/02/

2019

19

/02/

2019

Har

vest

dat

e 28

/06/

2019

04

/07/

2019

(t h

a-1

)



Tab

le 5

. Y

ield

of

sma

ll w

hit

e c

an

nin

g d

ry b

ea

n c

ult

iva

rs i

n t

he

str

ip t

ria

ls i

n M

pu

ma

lan

ga

wit

h P

AN

123 a

s co

ntr

ol

CU

LTIV

AR

STR

IP T

RIA

LS

NA

TIO

NA

L C

ULT

IVA

R T

RIA

LS

201

8/2

019

Ko

bu

s S

tan

de

r N

ige

l 201

8/2

019

No

Nam

e

M

ean

Yiel

d

Ra

nk

%

Con

trol

R

ank

M

ean

Yiel

d

Ran

k

(t h

a-1

)

(t h

a-1

)

1 PA

N 1

23

R

ep1

3.34

1

109

1

2 PA

N 1

23

R

ep 2

3.

12

4 10

1 3

Mea

n

3.23

1

10

5

1

1.27

3

3 PA

N 9

141

R

ep 1

3.

21

2 10

4 2

4 PA

N 9

141

R

ep 2

3.

19

3 10

4 2

Mea

n

3.20

2

10

4

2

2.26

1

5 C

ALE

DO

N

Rep

1

2.93

7

95

6

6 C

ALE

DO

N

Rep

2

3.01

6

98

5

Mea

n

2.97

3

97

3

1.

09

4

7 TE

EBU

S-R

R 1

R

ep 1

3.

03

5 99

4

8 TE

EBU

S-R

R 1

R

ep 2

2.

80

8 91

7

Mea

n

2.92

4

95

4

1.

72

2

Tria

l Mea

n

3.08

1.59

Mea

n of

con

trol

3.

15

CV

(%

) 5.

01

Plan

ting

dat

e -

Har

vest

dat

e -

15



Tab

le 6

. Y

ield

of

Sm

all

Wh

ite

ca

nn

ing

dry

be

an

cu

ltiv

ars

in

th

e s

trip

tri

als

in

No

rth

We

st w

ith

PA

N 1

23 a

s co

ntr

ol

CU

LTIV

AR

S

TRIP

TR

IALS

N

ATIO

NA

L C

ULT

IVA

R T

RIA

LS

201

8/2

019

Ko

bu

s d

u P

ree

z G

roo

tpa

n

201

8/2

019

No

N

ame

M

ean

Yiel

d

Ran

k

%

Con

trol

R

ank

M

ean

Yiel

d

Ran

k

(t h

a-1

)

(t h

a-1

)

1 PA

N 1

23

R

ep1

1.

18

4 13

5 4

2 PA

N 1

23

R

ep 2

1.

26

3 14

5 3

3 PA

N 1

23

R

ep 3

0.

85

6 98

6

M

ean

1.

10

2

126

1.22

3

4 PA

N 9

141

R

ep 1

0.

54

9 62

9

5 PA

N 9

141

R

ep 2

0.

45

12

52

12

6 PA

N 9

141

R

ep 3

0.

73

7 84

7

M

ean

0.

57

3

66

1.

19

4

7 C

ALE

DO

N

Rep

1

1.39

1

159

1

8 C

ALE

DO

N

Rep

2

1.37

2

157

2

9 C

ALE

DO

N

Rep

3

1.08

5

123

5

M

ean

1.

28

1

146

1.41

1

10

TEEB

US-

RR

1

Rep

1

0.53

10

61

10

11

TEEB

US-

RR

1

Rep

2

0.59

8

67

8

12

TEEB

US-

RR

1

Rep

3

0.50

11

58

11

M

ean

0.

54

4

62

1.

23

2

Tria

l Mea

n

0.87

1.26

Mea

n of

con

trol

1.

00

CV

(%

) 10

.84

Plan

ting

dat

e 09

/01/

2019

Har

vest

dat

e 16

/05/

2019



-1Ta

ble

7.

Me

an

se

ed

yie

ld (

t.h

a)

of

stri

p t

ria

ls c

on

du

cte

d i

n d

iffe

ren

t p

rod

uct

ion

are

as

du

rin

g 2

016/1

7 –

2018/1

9 a

nd

2018/1

9

Cu

ltiv

ar

Ea

ste

rn F

ree

Sta

te

Mp

um

ala

ng

a

No

rth

we

st

Lim

po

po

N

ati

on

al

Me

an

Nam

e

201

6/1

7-

201

8/1

9

Ran

k

201

8/1

9

Ran

k

201

6/1

7-

201

8/1

9

Ran

k

201

8/1

9

Ran

k

201

6/1

7-

201

8/1

9

Ran

k

201

8/1

9

Ran

k

201

6/1

7-

201

8/1

9

Ran

k

201

8/1

9

Ran

k

201

6/1

7-

201

8/1

9

Ran

k

201

8/1

9

Ran

k

PA

N 1

48

2.4

9

2

2.1

7

2

1.8

5

6

2.3

9

2

3.5

3

1

3.4

2

1

2.2

3

7

2.0

2

5

2.5

3

3

2.5

0

1

PA

N 9

29

2

2.2

2

5

1.9

5

6

1.8

3

7

1.6

8

7

2.8

5

8

2.3

6

7

2.2

2

8

1.4

9

9

2.2

8

6

1.8

7

6

RS

5

2.1

3

7

2.0

6

5

1.4

0

9

1.7

1

6

2.9

5

6

2.7

5

3

2.5

1

1

1.8

7

6

2.2

5

7

2.1

0

4

OP

S-R

S 4

2.2

6

4

1.8

8

8

2.1

9

3

2.0

6

5

3.2

3

3

2.7

8

2

1.9

4

9

1.6

5

8

2.4

1

5

2.0

9

5

RS 6

2.1

8

6

2.1

0

4

2.1

0

4

2.1

6

4

3.1

9

4

2.3

9

6

2.5

0

2

2.1

8

2

2.4

9

4

2.2

1

3

KR

AN

SK

OP

-HR

1

1.7

8

9

1.8

7

9

1.6

5

8

1.3

8

9

2.9

2

7

2.4

4

5

2.4

2

3

1.7

9

7

2.1

9

8

1.8

7

6

PA

N 9

21

6

1.9

2

8

1.8

9

7

1.8

7

5

1.6

6

8

2.5

8

9

1.8

6

9

2.3

4

6

2.0

7

4

2.1

8

9

1.8

7

5

TY

GER

BER

G

2.4

5

6

2.2

9

1

2.5

4

2

2.5

2

1

3.1

2

5

2.1

5

8

2.3

9

4

2.2

1

1

2.6

2

2

2.2

9

2

KA

MIE

SB

ER

G

2.5

2

1

2.1

1

3

2.6

0

1

2.2

4

3

3.3

7

2

2.6

8

4

2.3

6

5

2.1

4

3

2.7

1

1

2.2

9

2

Tri

al M

ean

2.2

2

2.0

4

2.0

0

1.9

8

3.0

8

2.5

4

2.3

2

1

.94

2.4

1

2.1

2

Tab

le 8

. Me

an

yie

lds

of

thre

e s

ea

son

s' s

trip

tri

als

(2016/1

7 –

2018/1

9)

com

pa

red

wit

h t

ha

t o

f th

e c

ult

iva

r tr

ials

ove

r th

e s

am

e p

eri

od

Cu

ltiv

ar

Ea

ste

rn

Fre

e S

ta

te

Mp

um

ala

ng

a

No

rth

we

st

Strip

Tria

ls

Cu

ltiv

ar T

ria

ls

Strip

Tria

ls

Cu

ltiv

ar T

ria

ls

Strip

Tria

lsC

ult

iva

r T

ria

ls

Nam

e

Mean

(t h

a-1

)

Ran

k

Mean

(t h

a-1

)

Ran

k

Mean

(t

ha

-1)

Ran

k

Mean

(t h

a-1

)

Ran

k

Mean

(t h

a-1

)

Ran

kM

ean

(t h

a-1

)

Ran

k

PA

N 1

48

2.4

9

2

1.7

4

6

1.8

5

6

1.9

1

2

3.5

3

12.0

65

PA

N 9

292

2.2

2

5

1.8

0

4

1.8

3

7

1.6

6

6

2.8

5

81.7

98

RS

52.1

37

1.7

08

1.4

09

1.5

88

2.9

56

2.0

16

OP

S-R

S 4

2.2

64

1.7

17

2.1

93

1.7

65

3.2

33

1.9

67

RS 6

2.1

86

1.9

73

2.1

04

1.7

74

3.1

94

2.0

84

KR

AN

SK

OP

-HR

11.7

89

1.7

55

1.6

58

1.6

57

2.9

27

2.1

13

PA

N 9

216

1.9

28

1.7

55

1.8

75

2.0

11

2.5

89

1.7

79

TY

GER

BER

G2.4

56

2.1

51

2.5

42

1.7

65

3.1

25

2.3

91

KA

MIE

SB

ER

G2.5

21

2.0

42

2.6

01

1.8

63

3.3

72

2.2

12

Tria

l M

ean

2.2

21.8

42.0

01.7

73.0

82.0

4

Dry Bean Cultivar Recommendations 2019-2020

Documents

Transcript of Dry Bean Cultivar Recommendations 2019-2020