• +91 94611 45335
  • greenfarming@gmail.com
International Journal of Applied Agricultural & Horticultural Sciences
  • 29 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
: 852180
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. 9 (5) : September-October 2018 issue
Green Farming Vol. 9 (5) : 922-924 ; September-October, 2018
Genetic variability studies in blackgram under organic management
A. KAVITHA REDDYa1*,  M. SHANTHI PRIYAb2,  D. MOHAN REDDYa3  and  B. RAVINDRA REDDYa4
aDeptt. of Genetics and Plant Breeding, S.V. Agricultural College, Tirupati - 517 502, Dist. Chittoor, (Andhra Pradesh),
bDeptt. of Genetics and Plant Breeding, Agricultural College, Mahanandi - 518 502, Dist. Kurnool (Andhra Pradesh)
Designation :  
1P.G. Student *(appagari@gmail.com), 2,4Associate Professor, 3Professor
Subject : Crop Genetics and Plant Breeding
Paper No. : P-7421
Total Pages : 3
Received : 04 September 2018
Revised accepted : 27 September 2018
Get Access
Citation :

A. KAVITHA REDDY, M. SHANTHI PRIYA, D. MOHAN REDDY and B. RAVINDRA REDDY. 2018. Genetic variability studies in blackgram under organic management. Green Farming Vol. 9 (5) : 922-924 ; September-October, 2018

ABSTRACT
Genetic variability analysis was carried out for 17 yield, yield components and water use efficiency traits among 30 blackgram genotypes under organic fertilizer management. The analysis of variance revealed that except for days to maturity a significant variation was observed for all the traits. High heritability estimates were recorded for 100 seed weight, number of clusters per plant, pod length, number of pods per plant, SLA at 50 DAS, SLA at 35 DAS, plant height, seed yield per plant, SCMR at 35 DAS, SCMR at 50 DAS and relative water content. Seed yield per plant, number of clusters per plant, number of pods per plant, 100 seed weight, number of seeds per pod, number of primary branches per plant and SLA at 50 DAS exhibited high genetic advance as per cent of mean. High heritability coupled with high genetic advance as per cent of mean was recorded for 100 seed weight, number of clusters per plant, number of pods per plant, SLA at 50 DAS and seed yield per plant indicating preponderance of additive gene action. Hence, simple selection would be more effective for improvement of these characters under organic fertilizer management.
Key words :
Blackgram, Broad sense heritability, Genetic advance, GAM, Organic fertilizer management, Variability.