Author: RANGASWAMY S. DPublisher:
ISBN:
Category :
Languages : en
Pages : 153
Book Description
Development of Bio-intensive Integrated Management Strategies Against Root-knot Nematode, Meloidogyne Incognito (Kofoid and White) Chitwood Infecting Tomato
Author: RANGASWAMY S. DBiological Control of Root-knot Nematode [Meloidogyne Incognita (Kofoid and White) Chitwood) and Fusarium Oxysporum F. Sp. Lycopersici (Sacc.) Disease Complex in Tomato (Lycopersicon Esculentum Mill.)
Author: D.L. RudreshBiology and Management of Root Knot Nematode (Meloidagyne Incognita (Kofoid and White) Chitwood) Infecting Carnation (Dianthus Caryophyllus L.)
Author: T. R. KavithaEvaluation of Indigenous and Commercial Biogents for Management of Root Knot Nematode, Meloidogyne Incognita (Kofoid and White) Chitwood 1949 in Mulberry (Morus Alba L.)
Author: Narasimhamurthy. T.NIn Vitro and in Vivo Evaluation of Silicon in the Management of Root-knot Nematode, Meloidogyne Incognita (Kofoid & White), Chitwood, on Tomato
Author: Greeshma Jeevaraj GosekarPublisher:
ISBN:
Category :
Languages : en
Pages : 93
Book Description
Comparative Efficacy of Bio-agents in the Management of Root-knot Nematode, Mezoidogyne Incognita (kofoid Andwhite) Chitwood on Tomato
Author: Noor Ahmad PopalThe Influence of Root-knot Nematode (Meloidogyne Incognita [Kofoid & White] Chitwood 1949) on Growth and Development of Kenaf (Hibiscus Cannabinus Leaves) and Its Control
![The Influence of Root-knot Nematode (Meloidogyne Incognita [Kofoid & White] Chitwood 1949) on Growth and Development of Kenaf (Hibiscus Cannabinus Leaves) and Its Control PDF](https://books.google.com/books/content/images/frontcover/GGguOAAACAAJ?fife=w80-h100)
Author: Jose Rolando Barillas-ArguetaPublisher:
ISBN:
Category : Kenaf
Languages : en
Pages : 272
Book Description
Study of the Spatial Variability of the Southern Root-knot Nematode (Meloidogyne Incognita) and Its Impact on Cotton Yield
Author: Brenda Valeska Ortiz UribePublisher:
ISBN:
Category : Cotton
Languages : en
Pages : 484
Book Description
Site-specific management (SSM) is a promising strategy for reducing yield losses caused by the southern root-knot nematode [Meloidogyne incognita (Kofoid & White) Chitwood] (RKN) across the U.S Cotton Belt. To address this opportunity, this dissertation addresses the analysis of the spatial variability of RKN and its spatial relationship to edaphic, terrain, and chemical field properties. Additionally, simulations of RKN damage on different cotton biomass components, through adaptations to the CROPGRO-Cotton growth model, were used to estimate the damage of RKN within zones with a high likelihood for high RKN population. The work was conducted in the Tifton-Vidalia Upland (TVU) ecoregion of the southeastern Coastal Plain. Data were collected from eleven producers' fields and one university-owned field used for a RKN long-term research project during 2005, 2006, and 2007. The fields were located in Colquitt, Tift, and Worth Counties of Georgia, USA. Two different approaches were used to identify field features related to the presence or absence of RKN: (i) geostatistical analyses (factorial kriging) to decompose the variability of RKN and soil properties into different spatial components allowing the computation of correlation coefficients for different spatial scales; and (ii) canonical correlation analyses (CCA) to determine which properties explained the greatest amount of variability in RKN population density. Areas at risk for different levels of RKN population were identified by indicator kriging and fuzzy clustering of canonical predictors derived from the CCA. The simulation of growth and yield of cotton plants infected with RKN was conducted by modifying the Cropping System Model (CSM)-CROPGRO-Cotton. The model was modified by coupling RKN population for removal of daily assimilate and decreasing root length per unit root weight as strategies to mimic RKN damage. This study showed that: (1) small patches with high RKN population were associated with the flat areas within a field and large patches were associated with low values of apparent soil electrical conductivity shallow (EC[subscript a-s], 0-30 cm depth) and deep (EC[subscript a-d], 0-90 cm depth); (2) areas at risk for RKN population above a threshold value can be delineated from a reduced number of RKN population samples and a dense data set of EC[subscript a-d]; (3) low values of EC[subscript a-d], slope (SL), and NDVI can be associated with areas having high population of RKN; (4) RKN management zones can be delineated from edaphic terrain properties; (5) EC[subscript a-s] and EC[subscript a-d] properties offer much more stable information than terrain properties to characterize areas with low and high risk for having presence of RKN population; (6) RKN parasitism reduces cotton growth and development and induces a delay in maturity; (7) the adaptations of the Cropping System Model (CSM)-CROPGRO-Cotton in DSSAT v4.0 by coupling RKN population density and reducing the root length per unit root weight allowed the simulation of growth and yield for the DP 458 BR cotton variety impacted by various levels of RKN population; and (8) the use CSM-CROPGRO-Cotton model to simulate the seed cotton weight for different management zones with various risk levels for RKN allowed the quantification of potential yield losses due to RKN parasitism. Overall, this research contributes to the knowledge of RKN population variability as a function of edaphic and terrain attributes within fields of south Georgia, and develops techniques for applying site specific management to the pervasive problem of the southern root-knot nematode.
![Bio-management of Root-knot Nematode, [Meloidogyne Incognita (Kofoid and White, 1919) Chitwood, 1949] on Sunflower (Helianthus Annuus L.) PDF](https://books.google.com/books/content/images/frontcover/Tq3fmAEACAAJ?fife=w80-h100)
Author: Syeda Samina Anjum
Author: P. Swathi