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        <dc:title>Yield loss Modeling for late Leafspot and Rust in Groundnut</dc:title>
        <dc:creator>Motagi, B N</dc:creator>
        <dc:creator>Pattanashetti, S K</dc:creator>
        <dc:creator>Gowda, M V C</dc:creator>
        <dc:creator>Nadaf, H L</dc:creator>
        <dc:creator>Chandran, K P</dc:creator>
        <dc:creator>Ashalatha, K V</dc:creator>
        <dc:creator>Naidu, G K</dc:creator>
        <dc:subject>Groundnut</dc:subject>
        <dc:description>Late leaf spot and rust diseases occur together and cause considerable yield loss in groundnut.&#13;
Cultivation of resistant varieties is the best strategy to stabilize productivity under disease epidemics.&#13;
Several varieties resistant or moderately resistant to LLS and rust have been developed in groundnut, but&#13;
most of them differ in yield loss even at the same level of disease due to complex interrelationships&#13;
between disease and yield loss. Crop loss models have been employed to gain insight into these&#13;
relations and to plan sound breeding strategies. In the present study, different empirical models were&#13;
tested for their explanatory value for yield loss among 10 groundnut genotypes with varying level of&#13;
resistance to late !eafspot and/or rust. Towards yield loss modeling, disease severity at different growth&#13;
stages and physiological traits viz., leaf area index (LAI), harvest index (HI), healthy leaf area duration&#13;
(HAD), crop and pod growth rates(CGR and PGR) and partitioning coefficient (PC) were considered as&#13;
independent variables, while yield loss as dependent variable in regression models.&#13;
Single pOint models based on disease did not explain the variation in loss completely, but revealed pOd&#13;
fill ing as the critical stage in determining yield loss. Multiple point models using disease at different stages&#13;
marginally improved the explanatory value; Inclusion of physiological traits in stepwise regression models&#13;
improved the R2 considerably, revealing their relevance to yield loss. Yield loss varied significantly among&#13;
the genotypes resistant to both LLS and rust (9-17%), moderately resistant to LLS or rust (18-26%) and&#13;
susceptible to LLS and rust (30-42%). Resistant genotype, GPBD-4 had high yield potential with minimum&#13;
yield reduction due to Its high partitioning efficiency and pod growth rate. Though highly susceptible,&#13;
TAG-24 showed tolerance by early cessation of vegetative growth and efficient translocation of&#13;
photosynthates to pOds leading to high harvest index.</dc:description>
        <dc:date>2015-07</dc:date>
        <dc:type>Conference or Workshop Item</dc:type>
        <dc:type>PeerReviewed</dc:type>
        <dc:format>application/pdf</dc:format>
        <dc:language>en</dc:language>
        <dc:identifier>http://oar.icrisat.org/9234/1/Yield%20loss-foliar%20disaeses-%20modelling%20in%20groundnut-47th%20APRES%20meeting%20July%202015.pdf</dc:identifier>
        <dc:identifier>  Motagi, B N and Pattanashetti, S K and Gowda, M V C and Nadaf, H L and Chandran, K P and Ashalatha, K V and Naidu, G K  (2015) Yield loss Modeling for late Leafspot and Rust in Groundnut.  In: 47th Annual Meeting of the American Peanut Research and Education Society (APRES), July 14-16, 2015, Francis Marion Hotel, Charleston, SC, USA.     </dc:identifier></oai_dc:dc>
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