ARUSHI ARORA M.Sc. FIRST YEAR

A-2016-30-050

MAJOR ADVISOR :Dr. V.K SOOD

Department of Crop Improvement

SYNOPSIS SEMINAR

PROPOSED TITLE

Genetic diversity analysis in oat(Avena sativa) using agro-morphological and molecular markers

ADVISORY COMMITTEEName & DesignationDr. V.K. Sood

Principal Scientist

(Plant Breeding)

Major Advisor

Dr. H.K. Chaudhary

Professor & Head

(Crop Improvement)

Member

Dr.D.K Banyal

Professor

(Plant Pathology)

Member

Dr.S.K. Upadhyay

Professor & Head

(Horticulture)

Dean’s Nominee

AREA AND PRODUCTION

Crop: (Oat) Avena sativa L. • WORLDArea :9.2million haProduction: 2.4 tonnes/ha • INDIA Area (’000 ha): 100 Green fodder productivity (tonnes/ha) :35–50

OAT TAXONOMY

• Common name: OAT• Scientific name: Avena sativa L.• Chromosome no: 2n=6x=42• Family: Poaceae

INTRODUCTION

• Oat (Avena sativa L.) is an important forage crop of hilly areas spread over in the hills.

• Oats are rich in fiber content with 32.88-34.82 percentage of fiber on dry matter basis due to which it is included in human diet too.

• Oat has quick regeneration and tillering capacity and presents a good palatable fodder.

• It is essential to assess the quantum of genetic variability, nature of character association with respect to different characters, which would help in planning a successful breeding programme.

• The yield is a complex character, quantitative in nature and an integrated of a number of component traits. Therefore, selection for yield as per performance may not be much rewarding unless other yield attributing traits are taken into consideration.

• Traditional methods being used for genetic characterization suffers from many disadvantages. So nowadays, molecular markers are being used in conjugation with traditional breeding programmes.

• The molecular markers are not affected by environment and have been proved a valuable tool in characterization of genetic diversity.

• SSR markers show high levels of polymorphism and will be used in the research.

• Keeping this in mind promising indigenous and exotic oat genotypes will be characterized using agro-morphological and molecular markers in the breeding programme.

OBJECTIVES :

 To• assess genetic diversity of indigenous and exotic

oat genotypes using agro-morphological and molecular markers, and

• identify potential genotypes for forage, seed yield and related traits

 

MATERIALS• Genotypes - 56 • Checks - 4• Design - Randomized Block Design• No. of replications - 3• Plot size of each genotype - 3m x 0.5m (2 rows of each genotype)• Row-Row - 25cm• Plant- Plant -10cm• Data will be recorded for –Rabi -2016-17 (establishment year)

• Data will be recorded on 5 randomly selected competitive plants in each replication.

• LOCATION-• Research farm( FODDER FIELD) of CSKHPKV Palampur.

GENOTYPES USED IN RESEARCH

EC-528903 EC-528889

JPO-17 KRR-AK-26

JPO-36 HFO-52

JP0-29 EC-605832

JPO-41 EC-528883

JPO-46 JHO-822

JPO-28 EC-528897

JPO-38 OL-822

JPO-31 EC-528865

JPO-55 EC-605831

JPO-24 EC-528913

JPO-50 19-03-205

EC-528890 EC-558905

ADG-214 EC-605834

UPO-212

EC-605839

EC-528898

EC-605837

KRR-AK-42

JPO-45

190-14

RO-19

OATS-90

KRR-AK-36

19-03-208

19-03-203

HFO-114

UPO-212

PLP-7

PLP-8

PLP-9

PLP-10

PLP-11

PLP-12

PLP-13

PLP-14

PLP-15

PLP-16

PLP-17

PLP-18

PLP-19

JPO-21

CHECKS

PLP-1

Kent

RO19

OS-6

TECHNICAL PROGRAMME

15

Lab. Work

• Molecular Cytogenetics and Tissue Culture Lab., Department of Crop

Improvement

Field Work

•Experimental Farm of the Department of crop improvement ( FODDER FIELD)

OBSERVATIONS TO BE RECORDED 1. Days to 50 per cent flowering2. Plant height (cm)3. Leaves per plant4. Leaf area (cm²)5. Tillers per plant6. Leaf : stem ratio7. Fresh fodder yield per plant (g)8. Dry matter yield per plant (g)9. Crude protein content (%)10.Crude protein yield per plant (g)11.Days to 75 % maturity12.Grain yield per plant (g)12. Harvest index (%)13. 100- seed weight (g)Reaction to Diseases Powdery mildew (Scale 0-9)

STATISTICAL ANALYSIS Analysis of variance will be done as per Panse and Sukhatme (1984)

Various parameters of variability will be worked out as suggested by Burton and Devane (1953)

Correlation cofficient will be worked out as suggested by Al-jibouri et al. (1958)

Path analysis of various characters with seed yield will be done by following the methods given by Dewey and Lu (1959)

Estimation and comparison of genetic divergence based on multiple characters – Mahalanobis D2 (1936)

Principle component analysis :SAS

MOLECULAR CHARACTERIZATION

MATERIALS-• 60 genotypes• Molecular diversity analysis will be done using SSR markers.

LOCATION-• Molecular Cytogenetics and Tissue culture Lab.

METHODOLOGY-• Young leaf samples of 60 genotypes will taken for DNA extraction

using CTAB method .• PCR amplification of extracted DNA – PCR will be performed

using standard protocol .

STATISTICAL ANALYSIS-• Genetic distance and dendrogram construction using the

unweighted pair group method with arithmetical (UPGMA) of NTSYS-PC package.