Search Results - "Prediction

Genomic predictions to leverage phenotypic data across genebanks by El-Hanafi, Samira, Jiang, Yong, Kehel, Zakaria, Schulthess, Albert W, Zhao, Yusheng, Mascher, Martin, Haupt, Max, Himmelbach, Axel, Stein, Nils, Amri, Ahmed, Reif, Jochen Christoph

Subjects: “…genomic prediction…”
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Genomic Prediction and Selection by Mrode, Raphael A., Pocrnic, Ivan

Subjects: “…prediction…”
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Decadal co-variability of Atlantic SSTs and western Amazon dry-season hydroclimate in observations and CMIP5 simulations by Fernandes, K., Giannini, A., Verchot, Louis V., Baethgen, Walter E., Pinedo Vasquez, M.

Subjects: “…prediction…”
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Prediction and prevention of famine by Mellor, John W.

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Deoxynivalenol prediction in oats by Markgren, Joel

“…A prediction model was created to answer this question. …”

Estimating model prediction error: Should you treat predictions as fixed or random? by Wallach, Daniel, Thorburn, Peter J., Asseng, Senthold, Challinor, Andrew J., Ewert, Frank, Jones, James W., Rötter, Reimund P., Ruane, Alex C.

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Prediction Models for Better Decisions by International Center for Tropical Agriculture

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Predictable patterns of unsustainable intensification by Rietveld, Anne M., Groot, Jeroen C.J., Burg, Margreet van der

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Predictable patterns of unsustainable intensification by Rietveld, Anne M., Groot, Jeroen C.J., Burg, Margreet van der

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The future of zoonotic risk prediction by Carlson, C.J., Farrell, M.J., Grange, Z., Han, B.A., Mollentze, N., Phelan, A.L., Rasmussen, A.L., Albery, G.F., Bett, Bernard K., Brett-Major, D.M., Cohen, L.E., Dallas, T., Eskew, E.A., Fagre, A.C., Forbes, K.M., Gibb, R., Halabi, S., Hammer, C.C., Katz, R., Kindrachuk, J., Muylaert, R.L., Nutter, F.B., Ogola, J., Olival, K.J., Rourke, M., Ryan, S.J., Ross, N., Seifert, S.N., Sironen, T., Standley, C.J., Taylor, K., Venter, M., Webala, P.W.

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The Challenge of Predicting Risks of Outbreaks by CGIAR Research Program on Forests, Trees and Agroforestry

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Predicting poverty with vegetation index by Tang, Binh, Liu, Yanyan, Matteson, David S.

“…Accurate and timely predictions of the poverty status of communities in developing countries are critical to policymakers. …”
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Multi-trait genomic prediction models enhance the predictive ability of grain trace elements in rice by Muvunyi, Blaise Pascal, Zou, Wenli, Zhan, Junhui, He, Sang, Ye, Guoyou

“…Multi-trait (MT) genomic prediction models enable breeders to save phenotyping resources and increase the prediction accuracy of unobserved target traits by exploiting available information from non-target or auxiliary traits. …”
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Genetic correlation, genome-wide association and genomic prediction of portable NIRS predicted carotenoids in cassava roots by Ikeogu, Ugochukwu N., Akdemir, D., Wolfe, M.D., Okeke, U.G., Amaefula, C., Jannink, Jean-Luc, Egesi, Chiedozie N.

“…On average, genomic prediction accuracies from the single-trait genomic best linear unbiased prediction (GBLUP) and RF as well as from a multiple-trait GBLUP model ranged from ∼0.2 in LUT and PHY to 0.52 in TCC. …”
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Python Climate Predictability Tool (PyCPT) training for improved seasonal climate prediction over Ethiopia by Ahmed, Jemal Seid, Teshome, Asaminew, Demissie, Teferi Dejene

“…When prediction skill is high enough, NextGen helps select the best dynamic models for the region of interest through a process-based evaluation and automizes the generation and verification of tailored multi-model, statistically calibrated predictions at seasonal and sub-seasonal timescales.…”
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Best Linear Unbiased Prediction of Breeding Value: Multivariate Models by Mrode, Raphael A., Pocrnic, Ivan

Subjects: “…prediction…”
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Best Linear Unbiased Prediction of Breeding Value: Univariate Models with One Random Effect by Mrode, Raphael A., Pocrnic, Ivan

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Predicting Methane Production in Wetland Rice Soils by Gaunt, J.L., Neue, H.U., Giller, K.E., Grant, I.F., Bragais, J.

Subjects: “…prediction…”
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Climate prediction and agriculture: Lessons learned and future challenges from an agricultural develoment perspective by Anderson, Jock R.

Subjects: “…climate prediction…”
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Derive predicted livestock mortality index by International Livestock Research Institute

“…This document briefly explains how predicted livestock mortality index is derived. First, we explain how and why we have separate index-based livestock insurance (IBLI) contracts across Marsabit. …”
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