2. Dr.(Mrs.) Vijay Rana, Principal Scientist
(Genetics & Plant Breeding)
Major Advisor
Dr. Neelam, Scientist
(Genetics & Plant Breeding)
Member
Dr. Deepika Sud, SMS
(Plant Pathology)
Member
Dr. Pardeep Kumar, Professor
(Department of Soil Science)
Dean’s Nominee
ADVISORY COMMITTEE
3. TITLE OF THE RESEARCH PROBLEM
Genetics studies for nutrient use
efficiency in bread wheat (Triticum
aestivum L.)
4. OBJECTIVES
1.To study genetic variability and association analysis for
grain yield, agro - morphological and quality traits under
organic and inorganic conditions in wheat, and
2. To identify promising wheat genotypes and suitable
criteria for selecting nutrient efficient genotypes
5. INTRODUCTION SCENARIO
• Common name : wheat
• Scientific name : Triticum aestivum L.)
• Chromosome No : 2n=42
• Family : Gramineae
AREA
(million
hectare)
PRODUCTION
(million tonnes)
PRODUCTIVITY
(tonnes/hectare)
WORLD*
220.96 790.59 3.58
INDIA* 31.82 112.74 3.54
HIMACHAL
PRADESH#
0.320 0.549 1.71
*USDA 2022-23
#Statistics Department, HP 2020-21
6. 1.Wheat (Triticum aestivum L.) is the most cultivated crop in the world owing to
its adaptability to a wide range of environments. It is an essential component of
the human diet. As increases in cultivated wheat area are unlikely, maintaining a
yield gain rate commensurate with the increased demand is critical for global
food security.
2.The pre-requisite to achieve the above goal is to find sufficient amount of
variability.
3.Genetic diversity in the parent population is a pre-requisite for effective
selection of desirable recombinants in segregating breeding materials.
I4.n this context, genetic variability, diversity and correlation studies will be
helpful to identify desirable traits for selection of ideal plant type and promising
dual purpose barley genotypes.
INTRODUCTION
7. TECHNICAL PROGRAMME OF WORK
RICE AND WHEAT RESEARCH CENTRE, MALAN
The present investigation will be carried out at:
Rabi 2024-25
•Design : Randomized Block Design (RBD)
•Total Genotypes: 36
•33 genotypes + 3 checks (BHS380, HPJ1, HPJ2)
•Number of Replications: 3
•Spacing : Row to Row – 22cm
Plant to Plant – 5cm
8. DATA RECORDING
Agro-morphological characters
Fodder characters:
1. Plant height (cm)
2. Flag leaf area (cm)
Phenological characters & grain
attributes:
• Days to 50% flowering
• Days to 75% maturity
• Biological yield/plant(g)
• Grain yield/plant(g)
• Harvest index(%)
• 1000-grain weight(g)
Plant traits related to nitrogen use
1. Nitrogen accumulation(%)
2. Dry matter accumulation(%)
10. STATISTICAL ANALYSIS
Analysis method Reference
Analysis of variance (ANOVA) Panse and Sukhatme (1985)
Parameters of variability (GCV, PCV,
heritability and genetic advance as % of
mean)
Burton and De Vane (1953) and Johnson et
al. (1955)
Phenotypic and genotypic correlation
coefficients
Al-Jibouri et al. (1958)
Path analysis Dewey and Lu (1959)
Diversity analysis Mahalanobis (1936)
Clustering by Tocher’s method Rao (1952)
Principal component analysis (PCA) Karl Pearson (1901)
