Screening and Validation of Drought Tolerance and Fusarium Wilt Resistance in Advance Breeding Lines of Chickpea (Cicer arietinum L.)

2021 ◽  
Author(s):  
Yuvaraja Lambani ◽  
Laxuman . ◽  
R. Lokesha ◽  
Mahendar Thudi ◽  
Manish Roorkiwal ◽  
...  
Keyword(s):  
Fusarium Wilt ◽  
Agricultural Research ◽  
Snp Markers ◽  
Research Station ◽  
Early Maturity ◽  
Wilt Resistance ◽  
Breeding Lines ◽  
Terminal Drought ◽  
Drought Tolerant ◽  
Fusarium Wilt Resistance

Background: Approximately 90% of the world’s chickpea is grown under rainfed conditions where terminal drought is one of the major constraints limiting productivity. The need of short-duration, Fusarium wilt tolerant cultivars/elite lines and able to escape drought due to early maturity were required. Methods: The present investigation was carried out using 54 genotypes, generated from six diverse crosses, along with ten checks (resistant/tolerance, susceptible) were screened against drought and Fusarium wilt at Zonal Agricultural Research Station, Kalaburagi, Karnataka (Latitude: 17.36 and Longitude: 76.82) during crop season 2018-19. Result: The results revealed that higher PCV, GCV, heritability, percent genetic advance were exhibited by number of pods per plant and seed yield per plot, whereas lower PCV, GCV recorded for days to 50% flowering and days to maturity in both normal and late sown conditions. The advanced breeding lines viz., KCD-8, KCD-24, KCD-28, KCD-32, KCD-37 and KCD-53 were identified as drought tolerant lines based on drought tolerant indices (viz., MP, YSI, DTE and DSI). The lines KCD-48 and KCD-32 were identified as Fusarium wilt resistance with lowest PDI of 1.47 and 2.46 respectively, as they were screened in wilt sick plot and further these were validated and confirmed the resistant alleles using two unpublished SNP markers (FW2_30366110 and FW2_30365816). The advanced breeding lines KCD-32 and KCD-37 were identified as drought tolerant and Fusarium wilt resistant.

scholarly journals Use of phenols, peroxidase, and polyphenoloxidase of seed to quantify resistance of cotton genotypes to Fusarium wilt disease

2015 ◽  
Vol 43 (3) ◽  
pp. 353-357 ◽  
Author(s):  
Amal A Asran ◽  
Heba I Mohamed
Keyword(s):  
Fusarium Wilt ◽  
Agricultural Research ◽  
Linear Regression Analysis ◽  
Wilt Disease ◽  
Research Station ◽  
Wilt Resistance ◽  
Fusarium Wilt Disease ◽  
Cotton Genotypes ◽  
Fusarium Wilt Resistance ◽  
Wilt Incidence

A greenhouse test was conducted in 2011 and 2012 growing seasons at Giza Agricultural Research station to evaluate the reaction of six cotton genotypes to Fusarium wilt disease. The genotypes showed considerable variation in susceptibility to the disease (percentage of wilt incidence), which ranged from 32.24 to 88.0% In general, the genotypes could be divided into highly susceptible, susceptible, moderately susceptible, moderately resistant, and resistant. Data for wilt incidence and level or activity of some component biochemicals (phenols, peroxidase, and polyphenoloxidase) were introduced into a computerized linear regression analysis. The analysis constructed seven predictive models by using the biochemical components, singly or in combination, as biochemical predictors. It was evident that models nos. 1 and 5 were the best models for predicting incidence of Fusarium wilt. The superiority of these models was attributed to their high R2 value (0.668 and 0.814, respectively) and the significance of their F. values (p = 0.047 and p = 0.080, respectively). The results of the present study suggest that phenols alone or both phenols and polyphenoloxidase in uninfected cotton seed, which may or may not take part of the Fusarium wilt resistance mechanisms, can use as biochemical markers to predict Fusarium wilt resistance. DOI: http://dx.doi.org/10.3329/bjb.v43i3.21613 Bangladesh J. Bot. 43(3): 353-357, 2014 (December)

Development of CAPS Marker Linked to H2 Locus of Fusarium Wilt Resistance in Chickpea

2021 ◽  
Author(s):  
Sunil Subramanya ◽  
Chandrakanth D. Soregaon ◽  
Dalpat Lal ◽  
Ramapura Laxmipathi Ravikumar
Keyword(s):  
Fusarium Wilt ◽  
Rapd Marker ◽  
Resistance Breeding ◽  
Resistance Locus ◽  
Caps Marker ◽  
Wilt Resistance ◽  
Breeding Lines ◽  
Consensus Sequences ◽  
Suitable Restriction ◽  
Fusarium Wilt Resistance

Background: Fusarium wilt is one of the widely distributed biotic stress of chickpea limiting its productivity worldwide. The major problem limiting the resistance breeding is screening of germplasm and breeding lines for disease resistance. To address such problems, identification of molecular marker closely linked to resistance locus is an effective strategy.Methods: The RAPD marker A07C417 closely linked H2 locus of Fusarium wilt resistance locus has been converted into SCAR and the loss of initial polymorphism was recaptured by alignment of consensus sequences from SCAR amplified locus for the identification of common motifs. Further, the linkage association of this marker with Fusarium wilt resistance locus has been reaffirmed using Fusarium wilt response of RILs phenotyped for wilt reaction using wilt sick pots and also wilt sick plots.Result: Identification of single nucleotide polymorphism at the consensus SCAR locus between susceptible and resistant cultivar, enabled development of CAPS marker through suitable restriction enzyme Aci I making it an effective codominant marker system for resistance deployment via marker assisted selection.

scholarly journals Evaluation of chickpea (Cicer arietinum L.) accessions for Fusarium wilt resistance

2021 ◽  
Vol 42 (1) ◽  
pp. 82-89
Author(s):  
A.K. Srivastava ◽  
◽  
G.P. Dixit ◽  
N.P. Singh ◽  
D.R. Saxena ◽  
...  
Keyword(s):  
Fusarium Wilt ◽  
Block Design ◽  
Resistance Breeding ◽  
Field Evaluation ◽  
Gge Biplot ◽  
Wilt Resistance ◽  
Breeding Lines ◽  
G X E Interaction ◽  
Fusarium Wilt Resistance ◽  
Wilt Incidence

Aim: The present study was conducted to evaluate chickpea breeding lines and popular varieties for Fusarium wilt resistance through multi-location field evaluation in major chickpea growing states of India. Methodology: Forty-five chickpea accessions were evaluated for Fusarium wilt resistance in field sick plots at Kanpur, Junagadh, Sehore and Rahuri in India during 2016 and 2017. Each accession was planted in three replications in a randomized block design. The data was subjected to analysis of variance (ANOVA) for testing the significance of variation due to accessions, environments and their interaction. GGE biplots analysis were constructed from the first two principal components (PC1 and PC2) using 45 genotypes and 8 environments using statistical software R, versions 2.15. Results: The effects of genotype, environment and G x E interaction for wilt incidence were highly significant with maximum variation caused by G x E interaction effect (50.42%), followed by genotypic (46.92 %) and environmental effect (2.24%). GGE biplot analysis revealed that Rahuri and Junagadh locations were most discriminating locations and could differentiate the wilt resistant and susceptible chickpea accession, while Kanpur was least discriminating. Junagadh was most representative followed by Sehore and Kanpur while Rahuri was least representative of the average environment. On an average, the most severe wilt incidence was observed at Junagadh, followed by Sehore, Kanpur and Rahuri over the years. Interpretation: Elite chickpea accessions possessing high level of fusarium wilt resistant at each location can be utilized for region specific breeding.The accessions IPC 2008-11, H 2010-05, GNG 1581, JG 24, SCGP-WR 28, H 2010-01 and IPC 2008-69 exhibited stable resistance over locations. These possessed resistance against multiple races of Fusarium wilt prevailing in the country and can be utilized as donors for disease resistance breeding. Key words: Chickpea, Fusarium wilt, GGE biplot, Multi-location evaluation, Stable resistance

Identification of two RAPD markers genetically linked to a recessive allele of a Fusarium wilt resistance gene in pigeonpea (Cajanus cajan L. Millsp.)

Euphytica ◽  
2006 ◽  
Vol 149 (1-2) ◽  
pp. 113-120 ◽  
Author(s):  
H. Kotresh ◽  
B. Fakrudin ◽  
S. M. Punnuri ◽  
B. K. Rajkumar ◽  
M. Thudi ◽  
...  
Keyword(s):  
Resistance Gene ◽  
Fusarium Wilt ◽  
Cajanus Cajan ◽  
Rapd Markers ◽  
Recessive Allele ◽  
Wilt Resistance ◽  
Fusarium Wilt Resistance

Identification and evaluation of two diagnostic markers linked to Fusarium wilt resistance (race 4) in banana (Musa spp.)

2011 ◽  
Vol 39 (1) ◽  
pp. 451-459 ◽  
Author(s):  
Wei Wang ◽  
Yulin Hu ◽  
Dequan Sun ◽  
Christian Staehelin ◽  
Dawei Xin ◽  
...  
Keyword(s):  
Fusarium Wilt ◽  
Diagnostic Markers ◽  
Wilt Resistance ◽  
Musa Spp ◽  
Race 4 ◽  
Fusarium Wilt Resistance

Development of a DNA Marker for Fusarium Wilt Resistance in Chickpea

Crop Science ◽  
1997 ◽  
Vol 37 (5) ◽  
pp. 1625-1629 ◽  
Author(s):  
M. S. Mayer ◽  
Abebe Tullu ◽  
C. J. Simon ◽  
J. Kumar ◽  
W. J. Kaiser ◽  
...  
Keyword(s):  
Fusarium Wilt ◽  
Dna Marker ◽  
Wilt Resistance ◽  
Fusarium Wilt Resistance

scholarly journals Phenotypic Screening of F4 Breeding Lines against Bacterial Blight Disease in Rice

2021 ◽  
pp. 299-304
Author(s):  
K. Alekya ◽  
B. Laxmi Prasanna ◽  
M. Balram ◽  
N. Balram ◽  
P. Gonya Nayak ◽  
...  
Keyword(s):  
Bacterial Blight ◽  
Agricultural Research ◽  
Leaf Blight ◽  
Bacterial Leaf Blight ◽  
Research Station ◽  
Rice Grain ◽  
Disease Score ◽  
Breeding Lines ◽  
Biotic Stresses ◽  
Resistant Reaction

Biotic stresses are major threat to rice production. Among biotic stresses, bacterial leaf blight is one of the major diseases affecting rice grain production in rice growing areas. Present investigation was conducted to evaluate phenotypic effect of 50 breeding lines from a cross (Pranahitha//ISM/MTU1010) in glass house at Regional Agricultural Research Station, Jagtial by inoculating Bacterial leaf blight culture (DX-020) by leaf clipping method. Out of these 50 F4 lines evaluated, twenty nine breeding lines showed resistant reaction with disease score of 1. Eleven lines showed moderately resistant reaction with disease score 3. Twenty nine breeding lines that were resistant with disease score 1, had excellent grain yield. Hence, these lines can be advanced to further generations. Thus the present study has demonstrated that phenotypic selection is successful in the glass house and these breeding lines with higher yield levels are expected to perform better in the field trials and further in the farmers fields with the good level of bacterial blight resistance.

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