Coriza infecciosa: revisión de métodos de diagnóstico y vacunas

La coriza infecciosa es una enfermedad respiratoria aguda de las gallinas domesti- cas causada por la bacteria Haemophilus parugallinarum. Excepcionalmente pueden enfermarse tambien los faisanes y gallinas de Guinea. El H. paragallinarum infecta al ave por via respiratoria y luego de un cor- to periodo de incubation, que varia entre 1 a 3 dias, produce una enfermedad que se manifiesta por inflamacion catarral de los senos paranasales. Este cuadro puede estar asociado a inflamacion de los barbillones, conjuntivitis o queratitis. Los casos de neu- nionia y aerosaculitis son menos frecuentes pero tambien suelen ocurrir en las infeccio- nes puras por estos hemofilos. En las gallinas en produccion causa alta morbilidad, baja o nula mortalidad y una importante perdida en la produccion de huevos, la que generalmente oscila entre 10% y 40%. En pollos parrilleros puede cau- sar un cuadro descrito como «cabeza hin- chada» y ocasionalmente tambien producir septicemia y muerte (48). Esta bacteria ge- neralmente se asocia con otros agentes bacterianos, viricos o parasitarios y cuan- do esto ocurre se agrava el curso de la en- fermedad. Entre los agentes bacterianos mas comunes deben mencionarse los mycoplasinas y las pasteurelas. Cuando H . paragallinarum se asocia con otros agentes esta enfermedad se denomina .«coriza infec- ciosa complicada» (48). En esta recopilacion se aportaran deta- lles sobre la clasificacion, identificacion y serotipificacion del agente causal. Tambien se resumira la informacion disponible sobre nuevos metodos de diagnostico y programas de vacunacion para prevenir esta enferme-dad. A lo largo de esta revision se hara re-ferencia a los hemofilos aviarios que, para el proposito de este trabajo, seran definidos como organisnios gram negativos aislados de aves y que necesariamente requieren factores de crecimiento in vitro. Los dos factores que pueden ser requeridos por los hemofilos para su crecimiento in vitro son hemina (factor X) y/o nicotin-adenin-dinucleirtido (NAD o factor V).

Spatial model of site index based on Y-ray spectrometry and a digital elevation model for two Pinus species in Tuan Toolara State Forest, Queensland, Australia

Site index prediction models are an important aid for forest management and planning activities. This paper introduces a multiple regression model for spatially mapping and comparing site indices for two Pinus species (Pinus elliottii Engelm. and Queensland hybrid, a P. elliottii x Pinus caribaea Morelet hybrid) based on independent variables derived from two major sources: g-ray spectrometry (potassium (K), thorium (Th), and uranium (U)) and a digital elevation model (elevation, slope, curvature, hillshade, flow accumulation, and distance to streams). In addition, interpolated rainfall was tested. Species were coded as a dichotomous dummy variable; interaction effects between species and the g-ray spectrometric and geomorphologic variables were considered. The model explained up to 60% of the variance of site index and the standard error of estimate was 1.9 m. Uranium, elevation, distance to streams, thorium, and flow accumulation significantly correlate to the spatial variation of the site index of both species, and hillshade, curvature, elevation and slope accounted for the extra variability of one species over the other. The predicted site indices varied between 20.0 and 27.3 m for P. elliottii, and between 23.1 and 33.1 m for Queensland hybrid; the advantage of Queensland hybrid over P. elliottii ranged from 1.8 to 6.8 m, with the mean at 4.0 m. This compartment-based prediction and comparison study provides not only an overview of forest productivity of the whole plantation area studied but also a management tool at compartment scale.

The use of genetic correlations to evaluate associations between SNP markers and quantitative traits

Open-pollinated progeny of Corymbia citriodora established in replicated field trials were assessed for stem diameter, wood density, and pulp yield prior to genotyping single nucleotide polymorphisms (SNP) and testing the significance of associations between markers and assessment traits. Multiple individuals within each family were genotyped and phenotyped, which facilitated a comparison of standard association testing methods and an alternative method developed to relate markers to additive genetic effects. Narrow-sense heritability estimates indicated there was significant additive genetic variance within this population for assessment traits ( h ˆ 2 =0.28to0.44 ) and genetic correlations between the three traits were negligible to moderate (r G = 0.08 to 0.50). The significance of association tests (p values) were compared for four different analyses based on two different approaches: (1) two software packages were used to fit standard univariate mixed models that include SNP-fixed effects, (2) bivariate and multivariate mixed models including each SNP as an additional selection trait were used. Within either the univariate or multivariate approach, correlations between the tests of significance approached +1; however, correspondence between the two approaches was less strong, although between-approach correlations remained significantly positive. Similar SNP markers would be selected using multivariate analyses and standard marker-trait association methods, where the former facilitates integration into the existing genetic analysis systems of applied breeding programs and may be used with either single markers or indices of markers created with genomic selection processes.

Identifying the Function of Sorghum's Drought Tolerance Stay-Green QTL

The goal of this research is to understand the function of allelic variation of genes underpinning the stay-green drought adaptation trait in sorghum in order to enhance yield in water-limited environments. Stay-green, a delayed leaf senescence phenotype in sorghum, is primarily an emergent consequence of the improved balance between the supply and demand of water. Positional and functional fine-mapping of candidate genes associated with stay-green in sorghum is the focus of an international research partnership between Australian (UQ/DAFFQ) and US (Texas A&M University) scientists. Stay-green was initially mapped to four chromosomal regions (Stg1, Stg2, Stg3, and Stg4) by a number of research groups in the US and Australia. Physiological dissection of near-isolines containing single introgressions of Stg QTL (Stg1-4) indicate that these QTL reduce water demand before flowering by constricting the size of the canopy, thereby increasing water availability during grain filling and, ultimately, grain yield. Stg and root angle QTL are also co-located and, together with crop water use data, suggest the role of roots in the stay-green phenomenon. Candidate genes have been identified in Stg1-4, including genes from the PIN family of auxin efflux carriers in Stg1 and Stg2, with 10 of 11 PIN genes in sorghum co-locating with Stg QTL. Modified gene expression in some of these PIN candidates in the stay-green compared with the senescent types has been found in preliminary RNA expression profiling studies. Further proof-of-function studies are underway, including comparative genomics, SNP analysis to assess diversity at candidate genes, reverse genetics and transformation.

SorGSD: a sorghum genome SNP database

Sorghum (Sorghum bicolor) is one of the most important cereal crops globally and a potential energy plant for biofuel production. In order to explore genetic gain for a range of important quantitative traits, such as drought and heat tolerance, grain yield, stem sugar accumulation, and biomass production, via the use of molecular breeding and genomic selection strategies, knowledge of the available genetic variation and the underlying sequence polymorphisms, is required.