• +91 94611 45335
  • greenfarming@gmail.com
International Journal of Applied Agricultural & Horticultural Sciences
  • 19 April, 2024
Indexing :
           
Journal’s Code
Frequency : Bimonthly
Language : English
DOI Prefix : 10.37322
P-ISSN : 0974-0775
E-ISSN : 2582-4198
NAAS Rating
: 3.85 (2021)
Total Papers
: 2640
Total Views
: 838849
Impact Factor
SJIF (2018) : 6.967
IP Index : 2.07
GIF (2016) : 0.468
IIFS : 2.035
Current Issue
Green Farming
Green Farming
Vision Messages
Green Farming
Green Farming
Green Farming
Green Farming
Green Farming
Green Farming
Green Farming
Green Farming
Green Farming
Green Farming
Green Farming
Green Farming
Green Farming
Copyright (c) 2010 Reserved
Announcement
  • 1. Papers are invited for the forthcoming issues of Green Farming. Few Mini Review articles on applied aspects of new approaches (with Sr. Authors) may be adjusted, if sent on priority by email. For more details, please contact us.
Vol. 8 (2) : March-April 2017 issue
Green Farming Vol. 8 (2) : 266-270 ; March-April, 2017
A comparative analysis of genetic variability and correlation in chickpea under normal and late sown conditions
P.B. DESAIa1*, B.S. PATILb2, A.G. VIJAYAKUMARc3 and M.P. BASAVARAJAPPAd4
aDepartment of Genetics and Plant Breeding, University of Agricultural Sciences, Dharwad - 580 005 bIARI, Regional Research Centre, Dharwad, cAICRP for Dryland Agriculture, RARS, Vijaypur - 586 127 dDepartment of Plant Pathology, College of Horticulture, Bagalkot - 587 104 (Karnataka)
Designation :  
1P.G. Student *(priyadesai318@gmail.com), 2Sr. Scientist, 3Plant Breeder, 4Assoc. Professor
Subject : Crop Genetics and Plant Breeding
Paper No. : P-5899
Total Pages : 5
Received : 22 September 2016
Revised accepted : 10 February 2017
Get Access
Citation :

P.B. DESAI, B.S. PATIL, A.G. VIJAYAKUMAR and M.P. BASAVARAJAPPA. 2017. A comparative analysis of genetic variability and correlation in chickpea under normal and late sown conditions. Green Farming Vol. 8 (2) : 266-270 ; March-April, 2017

ABSTRACT
Analysis of genetic variability and association among yield and yield related traits was carried out using 13 characters in diverse chickpea genotypes. The study was conducted in two seasons. High variability was observed for majority of the traits in both the seasons. In late sown condition high GCV and PCV was recorded for number of pods, seeds per plant and 100 seed weight. In addition to these traits primary branches per plant, grain yield per plant exhibited high GCV and PCV in timely sown condition. The sufficient variability available for these traits can be exploited by direct selection. The mean values of number of pods and seeds per plant were higher but mean values of 100 seed weight was reduced in late sown condition indicating sink number is not affected by delayed sowing. Grain yield per plant showed positive correlation with biomass per plant, number of pods per plant, number of seeds per plant in both season. However, in late sown condition grain yield was negatively associated with all the reproductive parameters except days to physiological maturity. Development of short duration genotypes could be helpful in attaining higher grain yield before onset of end season moisture stress. High variability, heritability and significant positive association with grain yield was exhibited by biomass per plant, number of pods per plant and number of seeds per plant. These traits can be used as selection indices to improve yield in late sown condition as well as timely sown condition.
Key words :
Chickpea, Correlation, Genetic advance, Genetic variability, Growth & yield parameters, Heritability, Selection.