Rural Development Administration

About: Rural Development Administration is a government organization based out in Jeonju, South Korea. It is known for research contribution in the topics: Gene & Population. The organization has 4372 authors who have published 4919 publications receiving 94318 citations.

Progress in understanding and sequencing the genome of Brassica rapa.

Abstract: Brassica rapa, which is closely related to Arabidopsis thaliana, is an important crop and a model plant for studying genome evolution via polyploidization. We report the current understanding of the genome structure of B. rapa and efforts for the whole-genome sequencing of the species. The tribe Brassicaceae, which comprises ca. 240 species, descended from a common hexaploid ancestor with a basic genome similar to that of Arabidopsis. Chromosome rearrangements, including fusions and/or fissions, resulted in the present-day “diploid” Brassica species with variation in chromosome number and phenotype. Triplicated genomic segments of B. rapa are collinear to those of A. thaliana with InDels. The genome triplication has led to an approximately 1.7-fold increase in the B. rapa gene number compared to that of A. thaliana. Repetitive DNA of B. rapa has also been extensively amplified and has diverged from that of A. thaliana. For its whole-genome sequencing, the Brassica rapa Genome Sequencing Project (BrGSP) consortium has developed suitable genomic resources and constructed genetic and physical maps. Ten chromosomes of B. rapa are being allocated to BrGSP consortium participants, and each chromosome will be sequenced by a BAC-by-BAC approach. Genome sequencing of B. rapa will offer a new perspective for plant biology and evolution in the context of polyploidization.

Using canopy reflectance and partial least squares regression to calculate within-field statistical variation in crop growth and nitrogen status of rice

Abstract: For the site-specific prescription of fertilizer topdressing in rice cultivation, a non-destructive diagnosis of the rice growth and nutrition status is necessary. Three experiments were done to develop and test a model using canopy reflectance for the non-destructive diagnosis of plant growth and N status in rice. Two experiments for model development were conducted, one in 2000 and another in 2003 in Suwon, Korea, including two rice varieties and four nitrogen (N) rates in 2000 and four rice varieties and 10 N treatments in 2003. Hyperspectral canopy reflectance (300–1,100 nm) data recorded at various growth stages before heading were used to develop a partial least squares regression (PLS) model to calculate plant biomass and N nutrition status. The 342 observations were split for model calibration (75%) and validation (25%). The PLS model was then tested to calculate within-field statistical variation of four crop variables: shoot dry weight (SDW), shoot N concentration (SN), shoot N density (SND) and N nutrition index (NNI) using measured canopy reflectance data from a field of 6,500 m2 in 2004. Results showed that PLS regression using logarithm reflectance had better performance than both the PLS and multiple stepwise linear regression (MSLR) models using original reflectance data to calculate the four plant variables in year 2000 and 2003. It produced values with an acceptable model coefficient of determination (R 2) and relative error of calculation (REC). The model R 2 and REC ranged from .83 to .89 and 13.4% to 22.8% for calibration, and .76 to .87 and 14.0% to 24.4% for validation, respectively. The PLS regression model R 2 was reduced in the test data of year 2004 but the root mean square error of calculation (RMSEC) was smaller, suggesting that the PLS regression model using canopy reflectance data could be a promising method to calculate within-field spatial variation of rice crop growth and N status.

Determining numbers of active carabid beetles per unit area from pitfall‐trap data

Abstract: Movement of Pterostichus melanarius (Illiger) (Coleoptera: Carabidae) was studied in the laboratory, and a simulation model developed. The model was calibrated and validated using mark-release-recapture within a grid of pitfall traps in a commercial raspberry field. Rate of movement increased linearly with both temperature and starvation. The temperature threshold for movement, pooling all starvation levels was 3.8 °C ± 0.78 (s.e.). When beetles were released at various distances from a trap in the simulation model, the probability of capture during one day was about 0.13 at a release distance of 10 cm and fell rapidly with distance and temperature. At 5, 10, 15, and 20°C, the maximum radius sampled by a trap in one day was about 8, 17, 24, and 29 m, respectively. Density was linearly related to catch, but the slope of the line and the variance of the density estimate increased rapidly at lower temperatures. Equations for determining density per m 2 (±s.d.) were developed from the model, incorporating temperature, number of beetles caught per trap, and number of traps.