scholarly journals QTL Hotspots Detected for Yield Contributing Traits in Rice (Oryza sativa L.) using Composite Interval Mapping Analysis

2017 ◽  
Vol 14 (1) ◽  
pp. 329-341 ◽  
Author(s):  
Vikrant Kumar Sahu ◽  
Sunil Kumar Nair ◽  
Ashish Kumar Vishwakarma ◽  
S. B. Verulkar ◽  
Girish Chandel
Keyword(s):  
Oryza Sativa ◽  
Composite Interval Mapping ◽  
Oryza Sativa L ◽  
Interval Mapping ◽  
Composite Interval Mapping Analysis ◽  
Mapping Analysis ◽  
Interval Mapping Analysis

scholarly journals Mapping QTL hotspots associated with weed competitive traits in backcross population derived from Oryza sativa L. and O. glaberrima Steud.

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Muralidhara Bharamappanavara ◽  
Anantha M. Siddaiah ◽  
Senguttuvel Ponnuvel ◽  
Lokesha Ramappa ◽  
Basavaraj Patil ◽  
...  
Keyword(s):  
Oryza Sativa L ◽  
Interval Mapping ◽  
Backcross Population ◽  
Major Qtls ◽  
Genome Wide ◽  
Composite Interval Mapping Analysis ◽  
Mapping Analysis ◽  
Additive Gene ◽  
Direct Seeded ◽  
Interval Mapping Analysis

AbstractTo improve grain yield under direct seeded and aerobic conditions, weed competitive ability of a rice genotype is a key desirable trait. Hence, understanding and dissecting weed competitive associated traits at both morphological and molecular level is important in developing weed competitive varieties. In the present investigation, the QTLs associated with weed competitive traits were identified in BC1F2:3 population derived from weed competitive accession of O. glaberrima (IRGC105187) and O. sativa cultivar IR64. The mapping population consisting of 144 segregating lines were phenotyped for 33 weed competitive associated traits under direct seeded condition. Genetic analysis of weed competitive traits carried out in BC1F2:3 population showed significant variation for the weed competitive traits and predominance of additive gene action. The population was genotyped with 81 genome wide SSR markers and a linkage map covering 1423 cM was constructed. Composite interval mapping analysis identified 72 QTLs linked to 33 weed competitive traits which were spread on the 11 chromosomes. Among 72 QTLs, 59 were found to be major QTLs (> 10% PVE). Of the 59 major QTLs, 38 had favourable allele contributed from the O. glaberrima parent. We also observed nine QTL hotspots for weed competitive traits (qWCA2a, qWCA2b, qWCA2c, qWCA3, qWCA5, qWCA7, qWCA8, qWCA9, and qWCA10) wherein several QTLs co-localised. Our study demonstrates O. glaberrima species as potential source for improvement for weed competitive traits in rice and identified QTLs hotspots associated with weed competitive traits.

scholarly journals Mapping QTLs controlling the biosynthesis of maltose in soybean

2021 ◽  
Vol 26 (5) ◽  
pp. 2936-2941
Author(s):  
PRIYAMVADA JHA ◽  
◽  
VINEET KUMAR ◽  
ANITA RANI ◽  
ANIL KUMAR
Keyword(s):  
Ssr Markers ◽  
Interval Mapping ◽  
Single Marker Analysis ◽  
F2 Population ◽  
Composite Interval Mapping Analysis ◽  
Mapping Analysis ◽  
Single Marker ◽  
Soybean Genotypes ◽  
Genomic Regions ◽  
Interval Mapping Analysis

The present study was carried out to identify genomic regions associated with maltose in 2 F2 populations through assessment of sugars using HPLC and genotyping using SSR markers across the genome. SSR markers, Sat_216 (chr 12) and Satt681 (chr 6) in F2 population I and Sat_105 (chr 20) in F2 population II showed significant (P< 0.5) association with maltose content through single marker analysis (SMA) with LOD score of 3.18 (R2 =9.7), 2.54 (R2 =6.8), and 3.54 (R2 =10.4), respectively. Composite interval mapping analysis (CIM) let to identify different QTLs (other than SMA) for maltose content on chr 11, chr 13 and chr 17 in F2 population I while chr 6 and chr15 in F2 population II. QTLs identified for maltose content are in proximity of known functional genes responsible for degradation of starch into maltose. QTLs identified for maltose in the study may be deployed for improving efficiency of marker assisted breeding for development of soybean genotypes with high levels of this sugar.

Morphology and mapping analysis of rice (Oryza sativa L.) clustered spikelets (Cl) mutant

2003 ◽  
Vol 48 (6) ◽  
pp. 559 ◽  
Author(s):  
Leiying ZHENG
Keyword(s):  
Oryza Sativa ◽  
Oryza Sativa L ◽  
Mapping Analysis

Keragaan Morfologi dan Kandungan Antosianin Padi Beras Merah (Oryza sativa L.) di Kecamatan Munte dan Kecamatan Payung, Kabupaten Karo

1970 ◽  
Vol 5 (3) ◽  
pp. 391-403
Author(s):  
Wiwik Winarti ◽  
Eva Sartini Bayu ◽  
Revandy Iskandar Damanik
Keyword(s):  
Oryza Sativa ◽  
Oryza Sativa L ◽  
International Rice Research Institute ◽  
Research Institute

Keragaan morfologi dan kandungan antosianin padi beras merah (Oryza sativa L.) pada Kecamatan Munte dan Kecamatan Payung di Kabupaten Karo. Penelitian ini bertujuan untuk mendapatkan informasi morfologi dan kandungan antosianin padi beras merah (Oryza sativa L.). Penelitian ini dimulai dari Juni 2017dan selesai pada Januari 2018 di kecamatan Munte dan Kecamatan Payung Kabupaten Karo.Metode survei deskriptif menggunakan panduan International Rice Research Institute (IRRI). Teknik penentuan lokasi secara sengaja dan pengamblan sampel secara kebetulan.Uji kandungan antosianin menggunakan metode analitik dengan menghomogenkan sampel. Hasil eksplorasi didapatkan 72 genotipe yang dibagi menjadi tiga lokasi lahan. Berdasaran uji kandungan antosianin didapatkan lahan A memiliki kandungan tertinggi yaitu 0,5 mg/100 g dan terendah yaitu lahan B 0,08 mg/100 g.

Efficacy of some insecticide modules against major insect pests and spider population of rice, Oryza sativa L.

ENTOMON ◽  
2018 ◽  
Vol 43 (4) ◽  
pp. 257-262
Author(s):  
Atanu Seni ◽  
Bhimasen Naik
Keyword(s):  
Oryza Sativa ◽  
Grain Yield ◽  
Untreated Control ◽  
Insect Pests ◽  
Oryza Sativa L ◽  
Gall Midge ◽  
Stem Borer ◽  
The Other ◽  
The Third ◽  
Treated Plot

Experiments were carried out to assess some insecticide modules against major insect pests of rice. Each module consists of a basal application of carbofuran 3G @ 1 kg a.i ha-1 at 20 DAT and Rynaxypyr 20 SC @ 30 g a.i ha-1 at 45 DAT except untreated control. All modules differ with each other only in third treatment which was applied in 65 DAT. The third treatment includes: Imidacloprid 17.8 SL @ 27 g a.i ha-1, Pymetrozine 50 WG @ 150 g a.i ha-1, Triflumezopyrim 106 SC @ 27 g a.i ha-1, Buprofezin 25 SC @ 250 g a.i ha-1; Glamore (Imidacloprid 40+Ethiprole 40% w/w) 80 WG @ 100 g a.i. ha-1, Thiacloprid 24 SC @ 60 g a.i ha-1, Azadirachtin 0.03 EC @ 8 g a.i ha-1, Dinotefuran 20 SG@ 40 g a.i ha-1 and untreated control. All the treated plots recorded significantly lower percent of dead heart, white ear- head caused by stem borer and silver shoot caused by gall midge. Module with Pymetrozine 50 WG @ 150 g a.i ha-1 treated plot recorded significantly higher per cent reduction of plant hoppers (>80% over untreated control) and produced higher grain yield (50.75 qha-1) than the other modules. Among the different treated modules the maximum number of spiders was found in Azadirachtin 0.03 EC @ 8 g a.i ha-1 treated module plot followed by other treatments.

Correlation Studies on Grain Yield and its Component Traits in Rice (Oryza sativa L.)

2012 ◽  
Vol 2 (11) ◽  
pp. 13-14
Author(s):  
R. ARULMOZHI R. ARULMOZHI ◽  
◽  
Dr. A. MUTHUSWAMY Dr. A. MUTHUSWAMY
Keyword(s):  
Oryza Sativa ◽  
Grain Yield ◽  
Oryza Sativa L ◽  
Correlation Studies ◽  
Component Traits

Aplikasi Abu Sekam pada Padi Gogo (Oryza sativa L.) terhadap Kandungan Silikat dan Prolin Daun serta Amilosa dan Protein Biji

2011 ◽  
Vol 16 (1) ◽  
Author(s):  
Ahadiyat Yugi Rahayu ◽  
Tri Harjoso
Keyword(s):  
Oryza Sativa ◽  
Oryza Sativa L ◽  
Screen House

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh aplikasi abu sekam terhadap kandungan prolin dan silikat daun serta kualitas hasil yaitu protein dan amilosa biji padi gogo dan hubungan korelasi antar keempat komponen tersebut pada kondisi pertanaman 80 persen kapasitas lapang pada skala pot. Penelitian dilakukan di polibag dalam screen house Fakultas Pertanian Unsoed dengan menggunakan rancangan acak kelompok pola faktorial dengan faktor varietas (Situ patenggang, Limboto, Towuti, Batutegi dan Aek sibundong) dan faktor abu sekam (0, 2, 4, 6 t/ha), diulang tiga kali. Hasil penelitian menunjukan bahwa pemberian abu sekam dosis 2−6 t/ha mampu meningkatkan kandungan silikat daun antara 18,49−29,43% dan menurunkan kandungan amilosa biji pada lima varietas sekitar 4,19−6,92%. Pemberian abu sekam dosis 2−6 t/ha mampu meningkatkan kandungan prolin daun antara 27,56−70,63% dan protein biji antara 2,35−16,71%. Antarvarietas menunjukan bahwa kandungan prolin tertinggi dihasilkan oleh varietas Batu tegi 18,58 persen dan protein biji pada varietas Situ patenggang 9,55%. Terdapat korelasi antar karakter fisiologis yaitu antara silikat-prolin (0,62) dan kandungan protein-amilosa biji (-0,78).

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