Klasifikasi genotipe tanaman kenaf (Hibiscus cannabinus) menggunakan model Ammi
g p p 5!
ABSTRACT
gxpg
3
z::
' Q s s
3 5" ."53, I
s
*2 =QI Qs m
s "r s
Q
2EQgfj
rz
Q =I
r)
g Q
%3sgcl
$2zU2.=
C S Q S
QGrs
Q
5gaaS
igggg.
3 m z o z
=
$r'TQ
5%0 5
- =a
c
s s
Q
59
s 'QQ, nQr C?
U
!+2:
g Jc' i
=Q I s m *2
( D S Q " Q
a0
*s -.
8.- 3.
Q
s
.€
.
Q
- 3
gg!%
. gX
*
i
g, ag g#
E
r
.s
4
sg
C
G!Q
*
-.
2.
Q
82
:5
2;
B .is
WE
P 35
3r
=
Q
$J
2 E
=I3
zs -ED2?
g
Q
-3
X-. %s
g. =
c
?J
3
g
rr
r
YHANUAR ISMAXI, PURBOKUSUMO. Genotypes Classification of Kenaf (Hibisczrs cannabinzrs) Using AMMI Model. With guidance from TOTONG MARTONO and I MADE
SUMERTAJAYA.
Multi-environments trials are effort in agriculture research to identify superior cultivars by
examining adaptability of many genotypes of a cultivar in different environments. The expectation
fiom these multi-environments trials is to find genotypes which highly adaptive in many environments (stable genotypes) and genotypes which only adaptable in certain environments (specific genotypes).
Statistical method generally used for analysis of stability towards multi-environmeilts trials is
AMMT (Additive Main Effect and Multiplicative Interaction) analysis. This method combines
additive analysis of variance for treatments main effect and principal components analysis for
interaction effect. Multi-responses become a special problem in AMMI analysis since this analysis
can only works in single response. Thus, in many years analysis for multi-environments trials
merely focused in one single response. There are infomation unexplained by rely on one only
response.
In order to use AMMI in multi-environments trials with 1nu1ti-responses, we have to combine
those responses first. One of statistical lnethods for responses combining in multi-environments
trials is W-PCA (Weighted Principal Components Analysis). Responses combination produce new
variable named IPT (Cultivar Performance Index).
This research use secondary data from Malang Research Institute of Tobacco and Fiber Plants
(Balittas Malang). This data is about multi-environments trial of Kenaf conducted in East
Kalilnantan in 2003-2005. There are 15 genotypes of Kenaf, planted in 6 different environments,
with 3 blocks. The responses are plant-heights, plant-diameters, fresh trunk-weights, and fiber
yield.
Analyses of multi-environments trials of Kenaf produce classifications of genotypes stability,
each base on plant-heights, plant-diameters, fiber yield, and TPT. Fresh trunk-weights can not be
used to produce classification of genotypes stability. There is no genotype classified stable by
more than two responses. Genotype classified stable by two responses are GI4 (plant-heights and
IPT) and G4 (pIant-diametersand fiber yield).
Genotypes which most their characteristics explain specificalIy grow in each environment are:
specifically grow in L1 are G3, G5, G6, and G11; in L2 is G8; in L3 is G3; in L4 is G13; in L5 is
none; and in L6 are G7 and G 13.
ABSTRACT
gxpg
3
z::
' Q s s
3 5" ."53, I
s
*2 =QI Qs m
s "r s
Q
2EQgfj
rz
Q =I
r)
g Q
%3sgcl
$2zU2.=
C S Q S
QGrs
Q
5gaaS
igggg.
3 m z o z
=
$r'TQ
5%0 5
- =a
c
s s
Q
59
s 'QQ, nQr C?
U
!+2:
g Jc' i
=Q I s m *2
( D S Q " Q
a0
*s -.
8.- 3.
Q
s
.€
.
Q
- 3
gg!%
. gX
*
i
g, ag g#
E
r
.s
4
sg
C
G!Q
*
-.
2.
Q
82
:5
2;
B .is
WE
P 35
3r
=
Q
$J
2 E
=I3
zs -ED2?
g
Q
-3
X-. %s
g. =
c
?J
3
g
rr
r
YHANUAR ISMAXI, PURBOKUSUMO. Genotypes Classification of Kenaf (Hibisczrs cannabinzrs) Using AMMI Model. With guidance from TOTONG MARTONO and I MADE
SUMERTAJAYA.
Multi-environments trials are effort in agriculture research to identify superior cultivars by
examining adaptability of many genotypes of a cultivar in different environments. The expectation
fiom these multi-environments trials is to find genotypes which highly adaptive in many environments (stable genotypes) and genotypes which only adaptable in certain environments (specific genotypes).
Statistical method generally used for analysis of stability towards multi-environmeilts trials is
AMMT (Additive Main Effect and Multiplicative Interaction) analysis. This method combines
additive analysis of variance for treatments main effect and principal components analysis for
interaction effect. Multi-responses become a special problem in AMMI analysis since this analysis
can only works in single response. Thus, in many years analysis for multi-environments trials
merely focused in one single response. There are infomation unexplained by rely on one only
response.
In order to use AMMI in multi-environments trials with 1nu1ti-responses, we have to combine
those responses first. One of statistical lnethods for responses combining in multi-environments
trials is W-PCA (Weighted Principal Components Analysis). Responses combination produce new
variable named IPT (Cultivar Performance Index).
This research use secondary data from Malang Research Institute of Tobacco and Fiber Plants
(Balittas Malang). This data is about multi-environments trial of Kenaf conducted in East
Kalilnantan in 2003-2005. There are 15 genotypes of Kenaf, planted in 6 different environments,
with 3 blocks. The responses are plant-heights, plant-diameters, fresh trunk-weights, and fiber
yield.
Analyses of multi-environments trials of Kenaf produce classifications of genotypes stability,
each base on plant-heights, plant-diameters, fiber yield, and TPT. Fresh trunk-weights can not be
used to produce classification of genotypes stability. There is no genotype classified stable by
more than two responses. Genotype classified stable by two responses are GI4 (plant-heights and
IPT) and G4 (pIant-diametersand fiber yield).
Genotypes which most their characteristics explain specificalIy grow in each environment are:
specifically grow in L1 are G3, G5, G6, and G11; in L2 is G8; in L3 is G3; in L4 is G13; in L5 is
none; and in L6 are G7 and G 13.