Sains Malaysiana 48(5)(2019):
975981
http://dx.doi.org/10.17576/jsm-2019-4805-05
Agronomical Screening of OGLE1040/TAM O-301 Oat Genetic Mapping Population
(Penyaringan Agronomi Pemetaan Populasi Genetik Oat OGLE1040/TAM
O-301)
ZIYA DUMLUPINAR1*,
HÜSEYIN
GÜNGÖR2,
TEVRICAN
DOKUYUCU3,
SEVGI
HEREK3,
ALI
TEKIN1
& AYDIN AKKAYA3
1Kahramanmaras Sütçü İmam University, Agricultural Faculty, Agricultural
Biotechnology Department, Kahramanmaras,
Turkey
2Düzce University,
Agriculture and Natural Sciences Faculty, Field Crops Department,
Düzce, Turkey
3Kahramanmaras Sütçü İmam University, Agricultural Faculty, Field Crops
Department, Kahramanmaras, Turkey
Received:
4 January 2018/Accepted: 16 March 2019
ABSTRACT
In recent years, mapping populations
have provided improvements for oat genomic researches. A two-year
study was conducted in East-Mediterranean conditions using Ogle1040/TAM
O-301 pure-line mapping population including 136
individuals and parents. Stem diameter (SD), plant height (PH), panicle length (PL),
vegetative period (VP), grain filling period (GFP),
days to maturity (DM), grain number per panicle (GNP),
grain weight per panicle (GWP), thousand kernel weight (TKW)
and grain yield (GY) were investigated in 2014 and 2015
cropping seasons in Kahramanmaras.
All the investigated traits were significantly different for
years (p<0.01)
and genotypes (p<0.05 and p<0.01) except
SD and
GNP.
Genotype x year (G x Y) interaction was significant for PL,
VP,
GFP,
DM
and GY (p<0.01). In the first year,
the average GY per row was 227.6 g, whilst it was
184.5 g in the second year. In terms of GY, the parents Ogle 1040 and
TAM
O-301 showed lower performance (154.5 and 111.5
g/row, respectively) compared to Ogle1040/TAM O-301 (OT) population average (206 g/row).
OT129 genotype had the highest GY with
360 g/row. Principal component (PC) factor analysis yielded 10
PC
explaining 100% of total variance in the data
and the chi-square values of the PC1
to PC9 were found significant. According to PC biplot analysis, genotypes with high GY,
TKW,
GNP,
GWP,
PL
and GFP were located throughout the right
quadrants whereas the genotypes with high VP,
DM
and SD
were located throughout the left quadrants. The
relationships between PH × GY, GWP ×
GNP
and GWP × TKW were
positive and significant.
Keywords: Agronomic traits; biplot; mapping population; oat
ABSTRAK
Dalam tahun-tahun kebelakangan ini, pemetaan populasi
telah memberikan
penambahbaikan bagi penyelidikan genom oat. Kajian dua tahun
telah dijalankan
di kawasan Timur Mediterranean menggunakan pemetaan populasi Ogle1040/TAM O-301 termasuk
136 individu dan
induk. Diameter batang (SD),
tinggi tumbuhan
(PH),
panjang panikel
(PL),
tempoh vegetatif
(VP),
tempoh pengisian
bijirin (GFP), hari
kepada kematangan
(DM),
bilangan bijirin
setiap panikel (GNP),
berat bijirin
setiap panikel (GWP),
berat seribu
kernel (TKW)
dan hasil
bijirin (GY) telah
dikaji pada
musim penanaman tahun 2014 dan 2015 di Kahramanmaras. Semua trait yang
dikaji adalah berbeza
secara signifikan
daripada segi tahun
(p<0.01) dan genotip
(p<0.05 dan p<0.01)
kecuali SD dan
GNP.
Interaksi genotip
x tahun (G x Y) adalah signifikan bagi PL,
VP,
GFP,
DM
dan GY (p<0.01).
Pada tahun
pertama, purata GY setiap baris adalah
227.6 g, manakala 184.5 g pada
tahun kedua.
Daripada segi GY,
induk Ogle 1040 dan TAM
O-301 menunjukkan prestasi
yang lebih rendah (masing-masing
154.5 dan 111.5 g) berbanding
purata penduduk
Ogle1040/TAM
O-301 (OT)
(206 g/row). Genotip OT129
mempunyai GY tertinggi
dengan 360 g/baris.
Analisis faktor komponen utama (PC)
menghasilkan 10 PC menerangkan
100% daripada jumlah
varians dalam data dan nilai khi
kuasa dua
PC1
hingga PC9 didapati
signifikan. Menurut
analisis biplot PC,
genotip dengan GY tinggi, TKW, GNP,
GWP,
PL
dan GFP terletak di seluruh kuadran kanan manakala
genotip yang mempunyai
VP,
DM
dan SD yang
tinggi terletak
di sepanjang kuadran kiri. Hubungan antara PH × GY,
GWP
× GNP
dan GWP ×
TKW
adalah positif
dan signifikan.
Kata kunci: Biplot;
oat; pemetaan populasi;
trait agronomi
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*Corresponding author;
email: zdumlupinar@ksu.edu.tr