Record Details

Identified foliar fungal disease-resistant introgression lines with higher pod and haulm yield testing of Groundnut in MABC Post rainy 2013-14

ICRISAT Dataverse Dataverse OAI Archive

View Archive Info
 
 
Field Value
 
Title Identified foliar fungal disease-resistant introgression lines with higher pod and haulm yield testing of Groundnut in MABC Post rainy 2013-14
 
Identifier https://doi.org/10.21421/D2/J3ND48
 
Creator Janila, P
Manish K. Pandey
Surendra S.Manohar
Murali T V
Latha P
Sudini, H
Rajeev K. Varshney
 
Publisher ICRISAT Dataverse
 
Description Introgression lines (ILs) of groundnut with enhanced resistance to rust and late leaf spot (LLS) recorded increased pod and haulm yield testing. Marker-assisted backcrossing (MABC) approach was used to introgress a genomic region containing a major QTL that explains >80% of phenotypic variance (PV) for rust resistance and67.98% PV for LLS resistance. ILs in the genetic background of TAG-24, ICGV 91114 and JL 24 were evaluated for two seasons (Rainy 2013 and 2014) to select 20best ILs based on resistance, productivity parameters and maturity duration. Both late leaf spot and rust occur together. while LLS is moderate. In all the locations, infector rows of susceptible variety around the experimental plot and in between test entries ensured uniform spread of disease. Only the disease scores at ICRISAT, Patancheru . Background genotype, environment and genotype X environment interactions are important for expression of resistance governed by the QTL region. Six best ILs namely ICGV13192, ICGV 13193, ICGV 13200, ICGV 13206, ICGV 13228 and ICGV 13229 were selected with 39–79% higher mean pod yield and 25-89% higher mean haulm yield over their respective recurrent parents. Pod yield increase was contributed by increase in seed mass and number of pods per plant.





Experiment location on Google Map
 
Subject Agricultural Sciences
Seed oil content
Genotypes
Replication number
Leaf area
Entry number
Groundnut
Hundred seed weight
 
Date 2014-05-14
 
Contributor Administrator
 
Type Phenotypic Evaluation
 
Source ICRISAT