Record Details

GENETIC ANALYSIS OF CERTAIN MORPHOLOGICAL, YIELD AND YIELD ATTRIBUTES AND RESISTANCE TO KALAHASTI MALADY IN GROUNDNUT (Arachis hypogaea L.)

KrishiKosh

View Archive Info
 
 
Field Value
 
Title GENETIC ANALYSIS OF CERTAIN MORPHOLOGICAL, YIELD AND YIELD ATTRIBUTES AND RESISTANCE TO KALAHASTI MALADY IN GROUNDNUT (Arachis hypogaea L.)
 
Creator VENKATARAMANA, E
 
Contributor VASANTHI, R.P.
 
Subject GENETIC ANALYSIS, MORPHOLOGICAL, YIELD ATTRIBUTES, RESISTANCE, KALAHASTI MALADY, GROUNDNUT, Arachis hypogaea L.
 
Description The experimental material consisted of 21 crosses derived from 7×7 half diallel and were evaluated at Regional Agricultural Research Station, Tirupati during kharif 2010 and rabi 2010-11.The data recorded on yield and yield attributes and traits related to kalahasti malady incidence were subjected to combining ability, heterosis, character association and path co-efficient analyses.
The genotype, ICG(FDRS)79 was found promising as it exhibited high mean performance coupled with high general combining ability for most of the traits viz., pod yield per plant, kernel yield per plant, kernel number per plant, harvest index, number of primary branches per plant, number of secondary branches per plant and kalahasti malady resistance (low score for kalahasti malady) where as Narayani, Tirupati 4, Kalahasti and Kadiri 6 were good combiners for 100-kernel weight and shelling percentage. Narayani,

Tirupati 4, and Kadiri 6 were identified as good combiners for earliness as they exhibited significant negative GCA effects for days to 50% flowering and days to maturity. Tirupati 3 was found to be good combiner for kalahasti malady resistance, total phenol content, SCMR, number of primary and secondary branches per plant. Kalahasti was the best general combiner for kalahasti malady resistance and total phenol content.
Considering the SCA effects and mean values, Kalahasti × ICG (FDRS) 79 for pod, kernel yield, days to 50% flowering and lower incidence of kalahasti malady, Tirupati 4 × ICG (FDRS) 79 and Kadiri 6 × ICG (FDRS) 79 for number of primaries per plant, kernel number per plant, pod and kernel yield per plant were identified as promising cross combinations during kharif 2010 that would yield desirable transgressive segregants in segregating generations.
During rabi 2010-11, Narayani× ICG(FDRS) 79 followed by Tirupati 4 × ICG(FDRS) 79 and Kadiri 6 × ICG(FDRS) 79 were identified as best cross combinations with high SCA effect for traits viz., pod and kernel yield per plant, number of primaries branches per plant and number of kernels per plant. Among these three cross combinations, Tirupati 4 × ICG (FDRS) 79 had high negative SCA effect for days to maturity and high positive SCA effect for total phenol content.
The role of additive gene action was found to be predominant in the inheritance of days to 50% flowering, number of primary branches, secondary branches, SCMR, pod yield and kernel yield as the GCA variance was more than SCA variance for these traits. Days to maturity, 100- kernel weight, shelling percentage, SCMR and kalahasti malady incidence were found to be more influenced by non-additive gene action as the variance ratio (GCA:SCA) was lower than one.
The cross combination, Kalahasti × ICG(FDRS) 79 for number of secondary branches and pod yield per plant, Narayani × kalahasti, Kalahasti × Tirupati 3, Kalahasti × ICG(FDRS) 79 and Kalahasti × Kadiri 6 for pod and kernel yield per plant, Narayani × kalahasti and Narayani × Prasuna for harvest index, cross combinations of ICG(FDRS) 79 with Narayani, Tirupati 4, Prasuna, Kadiri 6 and Kalahasti for SCMR were adjudged as the best heterotic cross combinations during kharif 2010. Kadiri 6 × Tirupati 3 for days to 50% flowering and maturity, Kalahasti × Prasuna for number of primaries per plant and secondaries per plant, Tirupati 4 × ICG(FDRS) 79 for kernel number per plant and kernel yield per plant, Narayani × Kalahasti for SCMR and cross combinations viz., Narayani × ICG(FDRS) 79, Tirupati 4 × ICG(FDRS) 79 and Kadiri 6 × ICG(FDRS) 79 for pod yield were identified as best heterotic cross combinations during rabi 2010-11.
The traits, viz., number of secondary branches per plant, total phenols content, kernel number per plant, pod yield per plant and kernel yield per

plant appear to be inherited in additive manner as they had high GCV, moderate to high heritability and high GAM in different generations while the traits shelling percentage and days to maturity were found to be under control of non-additive gene action as they recorded low GCV and GAM inspite of moderate to high heritability while number of primaries per plant, days to 50% flower, 100-kernel weight, harvest index, SCMR and kalahasti malady were found to be influenced by both type of gene actions as they recorded moderate to low values of genetic parameters.
Strong positive correlation of kernel yield per plant, kernel number per plant and harvest index with pod yield in all the generations indicated the scope for simultaneous selection of these traits. In F1s, negative significant or low positive association with 100-kernel weight indicates the need to break the relationship so that positive correlation becomes stronger with pod yield. In F2 populations, pod yield showed significant negative association with kalahasti malady incidence and during selection, simultaneous selection for higher pod yield and lower incidence would result in identification of high yielding kalahasti malady resistant genotypes while maintaining positive correlation with other yield attributes. The direct effects of kernel number and kernel yield per plant were high in parents on pod yield during kharif 2010 while only kernel number per plant exercised high direct effect during rabi 2010-11. In F1s, positive direct effect of kernel number per plant, kernel yield per plant and 100-kernel weight was high. Negative direct effect of shelling out-turn was high during both the seasons. In F2 generation, only the direct effect of kernel yield per plant was high on pod yield.
In parents, indirect positive effect of kernel yield per plant was high during both the seasons. Harvest index exercised indirect effect through kernel number and yield per plant, SCMR, number of secondary and primary branches per plant and days to maturity. Shelling out-turn influenced through harvest index, SCMR, and 100-kernel weight. In F1s, positive direct effect of kernel yield per plant was high followed by days to 50% flowering, 100kernel weight and number of secondary branches per plant. Days to50% flowering and maturity exercised indirect effect through shelling out-turn, harvest index and number of secondary branches per plant while shelling outturn influenced through days to maturity, kalahasti malady incidence, number of secondary branches per plant, days to 50% flowering, kernel yield per plant and harvest index during kharif 2010. Similar indirect effects were observed during rabi 2010-11. In F2 population, kernel number exercised indirect effects through kernel yield per plant, harvest index, and SCMR while harvest index influenced through kernel yield, SCMR, days to 50% flowering and number of secondary branches per plant.
 
Date 2016-11-23T09:05:26Z
2016-11-23T09:05:26Z
2014
 
Type Thesis
 
Identifier 246p.
http://krishikosh.egranth.ac.in/handle/1/87148
 
Language en_US
 
Relation D5033;
 
Format application/pdf
 
Publisher ACHARYA N.G. RANGA AGRICULTURAL UNIVERSITY