Search Results - "Architecture"

Bron till delaktighet : tillgängliga gröna utomhusmiljöer för personer med autismspektrumtillstånd (AST) by Johansson, Tove

Utemiljön ur ett ekosystemtjänstperspektiv : undersökning och gestaltning med fokus på en bostadsgård i stadsdelen Norra Fäladen, Lund by Falck, Mona

Combining phosphorus placement and water saving technologies enhances rice production in phosphorus-deficient lowlands by Bauw, P. de, Vandamme, Elke, Senthilkumar, Kalimuthu, Lupembe, A., Smolders, E., Merckx, Roel

“…Field and pot experiments were set up to evaluate combinations of water saving technologies and micro-dose P placement methods (i.e. the localized application of a small P dose to a sub-surface area, often combined with seeds into the planting hole) with due attention to treatment effects on root architecture. A two-year field experiment was set up in a lowland rice field in Tanzania with factorial combinations of different levels of water supply (field capacity, alternating wetting drying, permanent flooding) and P application (no P; 3.45 and 6.90 kg ha−1 placement versus 25 kg ha−1 broadcast), thereby testing residual effects in year 2. …”
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Using high-resolution imagery and deep learning to classify land-use following deforestation: a case study in Ethiopia by Masolele, Robert N., Sy, Veronique de, Marcos, Diego, Verbesselt, Jan, Gieseke, Fabian, Mulatu, Kalkidan Ayele, Moges, Yitebitu, Sebrala, Heiru, Martius, Christopher, Herold, Martin

“…In this research, we assess the potential of different satellite data modalities (single-date, multi-date, multi-resolution, and an ensemble of multi-sensor images) for classifying land-use following deforestation in Ethiopia using the U-Net deep neural network architecture enhanced with attention. We performed the analysis on satellite image data retrieved across Ethiopia from freely available Landsat-8, Sentinel-2 and Planet-NICFI satellite data. …”
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Identification and fine mapping of a major QTL (qRtsc8-1) conferring resistance to maize tar spot complex and validation of production markers in breeding lines by Jiaojiao Ren, Penghao Wu, Huestis, Gordon M., Ao Zhang, Jingtao Qu, Yubo Liu, Hongjian Zheng, Alakonya, Amos, Dhliwayo, Thanda, Olsen, Michael, San Vicente, Felix M., Boddupalli, P.M., Jiafa Chen, Xuecai Zhang

“…To dissect the genetic architecture of TSC resistance, a genome-wide association study (GWAS) panel and a bi-parental doubled haploid population were used for GWAS and selective genotyping analysis, respectively. …”
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Genome wide association analysis for grain micronutrients and anti-nutritional traits in mungbean [Vigna radiata (L.) R. Wilczek] using SNP markers by Kumar Sinha, Mayank, Aski, Muraleedhar, Mishra, Gyan Prakash, Kumar, M. B. Arun, Yadav, Prachi, P. Tokas, Jayanti, Gupta, Sanjeev, Pratap, Aditya, Agrawal, Shiv Kumar, Nair, Ramakrishnan, Schafleitner, Roland, Dikshit, Harsh

“…In the present study, genetic architecture of grain micronutrients (grain iron and zinc concentration) and anti-nutritional factors (grain phytic acid and tannin content) in association mapping panel of 145 diverse mungbean were evaluated. …”
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Whole-genome resequencing reveals genomic variation and dynamics in Ethiopian indigenous goats by Sheriff, Oumer, Ahbara, Abulgasem M., Haile, Aynalem, Alemayehu, Kefyalew, Han Jianlin, Mwacharo, Joram M.

“…Our results provide insights into a thorough understanding of genetic architecture underlying selection signatures in Ethiopian indigenous goats in a semi-arid tropical environment and deliver valuable information for goat genetic improvement, conservation strategy, genome-wide association study, and marker-assisted breeding.…”
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Novel resistance loci for quantitative resistance to Septoria tritici blotch in Asian wheat (Triticum aestivum) via genome-wide association study by Patial, Madhu, Sudhir Navathe, Xinyao He, Kamble, Umesh, Kumar, Manjeet, Joshi, Arun Kumar, Pawan Kumar Singh

“…In this study, genomic architecture for adult-plant STB resistance in a Septoria Association Mapping Panel (SAMP) having 181 accessions and genomic regions governing STB resistance in a South Asian wheat panel were looked for. …”
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High food prices: The what, who, and how of proposed policy actions by von Braun, Joachim, Ahmed, Akhter, Asenso-Okyere, Kwadwo, Fan, Shenggen, Gulati, Ashok, Hoddinott, John F., Pandya-Lorch, Rajul, Rosegrant, Mark W., Ruel, Marie T., Torero, Maximo, van Rheenen, Teunis, von Grebmer, Klaus

“…At the same time, a new international architecture for the governance of agriculture, food, and nutrition is needed to effectively implement the initiatives described, and especially their international public goods components. …”
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Genomic loci associated with grain yield under well-watered and water-stressed conditions in multiple bi-parental maize populations by Ndlovu, Noel, Gowda, Manje, Beyene, Yoseph, Chaikam, Vijay, Nzuve, Felister M., Makumbi, Dan, McKeown, Peter C., Spillane, Charles, Prasanna, Boddupalli M.

“…Quantitative trait loci maping was performed on these genotypes to dissect the genetic architecture for grain yield (GY), plant height (PH), ear height (EH) and anthesis-silking interval (ASI) under well-watered (WW) and water-stressed (WS) conditions. …”
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Characterization of adaptation mechanisms in sorghum using a multireference back-cross nested association mapping design and envirotyping by Garin, Vincent, Chiaka Diallo, Mohamed Lamine Tékété, Korotimi Théra, Guitton, Baptiste, Karim Dagno, Abdoulaye G. Diallo, Kouressy, Mamoutou, Leiser, Willmar, Rattunde, Fred, Sissoko, Ibrahima, Touré, Aboubacar, Nébié, Baloua, Moussa Samaké, Kholovà, Jana, Berger, Angélique, Frouin, Julien, Pot, David, Vaksmann, Michel, Weltzien-Rattunde, Eva, Niaba Témé, Rami, Jean-François

“…We utilized this strategy to analyze the genetic architecture of flowering time and plant height, which represents key adaptation mechanisms in environments like West Africa. …”
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A high-performance computational workflow to accelerate GATK SNP detection across a 25-genome dataset by Zhou, Yong, Kathiresan, Nagarajan, Yu, Zhichao, Rivera, Luis F., Yang, Yujian, Thimma, Manjula, Manickam, Keerthana, Chebotarov, Dmytro, Mauleon, Ramil, Chougule, Kapeel, Wei, Sharon, Gao, Tingting, Green, Carl D., Zuccolo, Andrea, Xie, Weibo, Ware, Doreen, Zhang, Jianwei, McNally, Kenneth L., Wing, Rod A.

“…Combined, our results demonstrate the usefulness of combining a high-performance SNP calling architecture solution with a subpopulation-aware reference genome panel for rapid SNP discovery and public deployment.…”
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Whole-genome resequencing reveals genomic variation and dynamics in Ethiopian indigenous goats by Sheriff, Oumer, Ahbara, Abulgasim, Haile, Aynalem, Alemayehu, Kefyalew, Jianlin, Han, Mwacharo, Joram

“…Our results provide insights into a thorough understanding of genetic architecture underlying selection signatures in Ethiopian indigenous goats in a semi-arid tropical environment and deliver valuable information for goat genetic improvement, conservation strategy, genome-wide association study, and marker-assisted breeding.…”
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Patent landscape report on inventions based on Plant Genetic Resources for Food and Agriculture (PGRFA) and Related Digital Sequence Information Genetic Sequence Data (DSI/GSD). Ex... by Chiarolla, Claudio, Kock, Michael A, Oldham, Paul, Halewood, Michael, Lopez Noriega, Isabel, Kindness, Jasmine

“…The current legal and technical features of the data architecture of the international patent system do not make it possible to assess how many patents have been applied and/or granted for inventions that incorporate, or are based on, PGRFA materials from the MLS. …”
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Genome-wide association study of a Guinea grass (Megathyrsus maximus) diversity panel reveals the genetic basis of agronomic and nutritional traits by Lopez-Contreras, Lina Maria, Denning-James, Kate E., Carvajal Tapia, Juliana, Arango, Jacobo, Villegas, Daniel Mauricio, Jauregui, Rosa Noemi, Wenzl, Peter, De Vega, Jose J., Carvajal Yepes, Monica

“…Using three complementary GWAS models (Bayesian-information and Linkage-disequilibrium Iteratively Incorporating Knowledge (BLINK), the Fixed and Random Model Circulating Polynomial Unification (FarmCPU), and the Multiple Loci Mixed Model (MLMM)), we identified 25 significant marker-trait associations (MTAs) spanning three major trait categories: (i) phenological and plant-architecture; (ii) nutritional and digestibility; and (iii) productivity and nitrogen-use traits, evaluated under wet-season, dry-season, and greenhouse conditions. …”
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RIEPT Trials - Ecosystems H: Isohyperthennic savannas by International Center for Tropical Agriculture

“…In the first, known as Regional Trials C (RTCs), the idea was to incorporate new germplasm in pastures to study its potential compatibility under grazing in small plots in terms of productivity (dry-matter yields and carrying capacity) and persistence (dynamics of botanical composition, changes in plant architecture, and seed reserves) under different grazing management systems. …”
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RIEPT Trials - Ecosystems L: Tropical rain forests by International Center for Tropical Agriculture

“…In the first, known as Regional Trials C (RTCs), the idea was to incorporate new germplasm in pastures to study its potential compatibility under grazing in small plots in terms of productivity (dry-matter yields and carrying capacity) and persistence (dynamics of botanical composition, changes in plant architecture, and seed reserves) under different grazing management systems. …”
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RIEPT Trials - Ecosystems M: Poorly drained savannas by International Center for Tropical Agriculture

“…In the first, known as Regional Trials C (RTCs), the idea was to incorporate new germplasm in pastures to study its potential compatibility under grazing in small plots in terms of productivity (dry-matter yields and carrying capacity) and persistence (dynamics of botanical composition, changes in plant architecture, and seed reserves) under different grazing management systems. …”
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RIEPT Trials - Ecosystems T: Isothennic savannas by International Center for Tropical Agriculture

“…In the first, known as Regional Trials C (RTCs), the idea was to incorporate new germplasm in pastures to study its potential compatibility under grazing in small plots in terms of productivity (dry-matter yields and carrying capacity) and persistence (dynamics of botanical composition, changes in plant architecture, and seed reserves) under different grazing management systems. …”
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Germplasm screening and genetic improvement by International Center for Tropical Agriculture

“…Research work carried out by CIAT in 1980 and results obtained are briefly analyzed: acquisition, evaluation, and distribution of germplasm; bush and climbing bean improvement; resistance to viral (BCMV, BYMV, soybean mosaic virus, bean chlorotic mottle virus, and BGMV), fungal (rust, anthracnose, and angular leaf spot), and bacterial diseases (bacterial blight and halo blight), and to pests (Empoasca kraemeri and Tetranychus desertorum); yield and plant architecture; tolerance to moderately acid soils and water stress; variability from interspecific hybridization; N fixation; nutritional and quality factors; bean flour manufacture. …”
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