Analisa Pressure Build Up Dan Interference Test Pada Sumur Alpha Dan “Beta Lapangan X

The main purpose of a hydrocarbon well test or pressure transient analysis is to determine the ability of a layer or the formation to produce. Transient pressure analysis is basically, to give balance pressure interference on the well tested. Result from this well testing is distinguishable become two functions, that is test to obtain reservoir character by executing pressure build-up test analysis and test to know communicating of flow unit by doing interferencetest with Stegmeier method method.

Multimodal performers for genomic selection and crop yield prediction

publishedVersio

Yield predictions of timothy (Phleum pratense L.) in Norway under future climate scenarios

The perennial forage grass timothy (Phleum pratense L.) is the most important forage crop in Norway. Future changesin the climate will affect growing conditions and hence the yield output. We used data from the Norwegian Value for Cultivation and Use testing to find a statistical prediction model for total dry matter yield (DMY) based on agro-climatic variables. The statistical model selection found that the predictors with the highest predictive power were growing degree days (GDD) in July and the number of days with rain (>1mm) in June–July. These predictors together explained 43% of the variability in total DMY. Further, the prediction model was combined with a range of climate ensembles (RCP4.5) to project DMY of timothy for the decades 2050–2059 and 2090–2099 at 8 locations in Norway. Our projections forecast that DMY of today’s timothy varieties may decrease substantially in South-Eastern Norway, but increase in Northern Norway, by the middle of the century, due to increased temperatures and changing precipitation patterns

Evaluation of strategies to optimize training populations for genomic prediction in oat (Avena sativa)

publishedVersio

Evaluation of strategies to optimize training populations for genomic prediction in oat (Avena sativa)

publishedVersio

Genetic Characterization of the Norwegian Apple Collection

Commercial fruit production in Norway is located at around latitude 60 degrees north, demanding a careful choice of adapted cultivars. The most comprehensive collection of apple genetic resources in Norway is being kept in the Norwegian Apple Collection (NAC) at the Njos Fruit and Berry Centre (NJOS). The collection contains around 350 accessions and was recently genotyped with a single nucleotide polymorphism (SNP) array. Curated SNP data were used for the assessment of structure and diversity, pedigree confirmation, and core collection development. In the following SNP analysis, we identified several duplicates and parent-child relationships. Across the geographic regions represented, the collection was equally diverse. Different methods for analyzing population structure were applied. K-means clustering and a Bayesian modeling approach with prior assumptions of the data revealed five subpopulations associated with geographic breeding centers. The collection has a distinct genetic structure and low relatedness among the accessions; hence, two core collections with 100 accessions in each were created. These new core collections will allow breeders and researchers to use the NAC efficiently. The results from this study suggest that several of the accessions in the Norwegian Apple Collection could be of high importance for breeding purposes

Virtual phenomics - use of robots and drones in combination with genomics accelerate genetic gains in wheat breeding

Wheat breeding is a tedious process that usually takes 10-15 years and depends heavily on the ability to identify superior progeny lines by visual inspection and manual scoring of traits. Two emerging technologies are now offering potential for more precise selection and faster genetic gains: genomic prediction of breeding values based on genome-wide SNP markers and use of high throughput phenotyping technologies. In the innovation project “Reliable and efficient high-throughput phenotyping to accelerate genetic gains in Norwegian plant breeding (virtual phenomics; vPheno), 2017-2022” we are combining multispectral imaging with genomic prediction. This is a collaborative project between the industry partners Graminor AS and Making View AS and world-leading research groups in genetics, robotics and image analysis at the Norwegian University of Life Sciences, Boston University and the International Maize and Wheat Improvement Center (CIMMYT) in Mexico. In order to follow the growth of the plants during the season and calculating vegetation indices that can be used to predict grain yield, the project makes use of drones fitted with multispectral camera that are flown at weekly interval during the field season. In addition, a custom-built field robot is being used for gathering close-up images of field plots that will be used for counting the number of heads per square meter and other plant features that cannot be reliably recognized from drone images. One major use of the data is to improve the precision of genomic prediction models, the other is to enable plant breeders to visit field trials in "virtual reality", by integrating information from the drone and robot images with other available data on the field plots (grain yield, disease resistance, quality traits, marker data etc.). A prototype of the VR tool will be presented along with the progress on improving grain yield prediction by use of the multispectral drone images.Supporting documentatio

Accumulation dynamics of transcripts and proteins of cold-responsive genes in fragaria vesca genotypes of differing cold tolerance

Identifying and characterizing cold responsive genes in Fragaria vesca associated with or responsible for low temperature tolerance is a vital part of strawberry cultivar development. In this study we have investigated the transcript levels of eight genes, two dehydrin genes, three putative ABA-regulated genes, two cold–inducible CBF genes and the alcohol dehydrogenase gene, extracted from leaf and crown tissues of three F. vesca genotypes that vary in cold tolerance. Transcript levels of the CBF/DREB1 transcription factor FvCBF1E exhibited stronger cold up-regulation in comparison to FvCBF1B.1 in all genotypes. Transcripts of FvADH were highly up-regulated in both crown and leaf tissues from all three genotypes. In the ‘ALTA’ genotype, FvADH transcripts were significantly higher in leaf than crown tissues and more than 10 to 20-fold greater than in the less cold-tolerant ‘NCGR1363’ and ‘FDP817’ genotypes. FvGEM, containing the conserved ABRE promoter element, transcript was found to be cold-regulated in crowns. Direct comparison of the kinetics of transcript and protein accumulation of dehydrins was scrutinized. In all genotypes and organs, the changes of XERO2 transcript levels generally preceded protein changes, while levels of COR47 protein accumulation preceded the increases in COR47 RNA in ‘ALTA’ crowns.publishedVersio

Yield predictions of timothy (Phleum pratense L.) in Norway under future climate scenarios

The perennial forage grass timothy (Phleum pratense L.) is the most important forage crop in Norway. Future changes in the climate will affect growing conditions and hence the yield output. We used data from the Norwegian Value for Cultivation and Use testing to find a statistical prediction model for total dry matter yield (DMY) based on agro-climatic variables. The statistical model selection found that the predictors with the highest predictive power were growing degree days (GDD) in July and the number of days with rain (>1mm) in June–July. These predictors together explained 43% of the variability in total DMY. Further, the prediction model was combined with a range of climate ensembles (RCP4.5) to project DMY of timothy for the decades 2050–2059 and 2090–2099 at 8 locations in Norway. Our projections forecast that DMY of today’s timothy varieties may decrease substantially in South-Eastern Norway, but increase in Northern Norway, by the middle of the century, due to increased temperatures and changing precipitation patterns

Genetic architecture of fusarium head blight disease resistance and associated traits in Nordic spring wheat

publishedVersio