Search Results - Population Statistics.

Two Separate Introductions of Asian Citrus Psyllid Populations Found in the American Continents by de Leon, Jesse H., Sétamou, Mamoudou, Gastaminza, Gerardo A., Buenahora, José, Caceres, Sara, Yamamoto, Pedro T., Bouvet, Juan Pedro, Logarzo, Guillermo A.

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Reviewing DRC’s poverty estimates, 2005-2012: Unprecedented GDP growth without trickle down by Marivoet, Wim, De Herdt, Tom, Ulimwengu, John M.

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Population differentiated copy number variation of Bos taurus, Bos indicus and their African hybrids by Jang, J., Terefe, Endashaw, Kim, K., Lee, Y.H., Belay, G., Tijjani, A., Han Jianlin, Hanotte, Olivier H., Kim, H.

“…The copy number of every CNVRs were compared between populations and CNVRs with population differentiated copy numbers were sorted out using the pairwise statistics VST and Kruskal-Wallis test. …”
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A 2020 vision for food, agriculture, and the environment in southern Africa by Pinstrup-Andersen, Per, Pandya-Lorch, Rajul, Babu, Suresh Chandra

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Genetic diversity and differentiation of Ankole cattle populations in Uganda inferred from microsatellite data by Kugonza, Donald R., Nabasirye, M., Mpairwe, D.R., Kiwuwa, G.H., Okeyo Mwai, Ally, Hanotte, Olivier H., Han Jianlin

“…F-statistics at respective loci among all populations were significant, with the exception of the FIT. …”
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The effect of population growth on economic growth: A meta-regression analysis of the macroeconomic literature by Headey, Derek D., Hodge, Andrew

“…The present study analyzes 471 statistical regressions from 29 prominent economic growth studies using meta‐regression analysis to identify the effect of alternative methodologies on key population growth results. …”
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Population, land tenure, and natural resource management: the case of customary land area in Malawi by Place, Frank, Otsuka, Keijiro

“…This paper uses cross section-time series data on 57 communities in Malawi to determine statistically the factors determining changes in land use, tree cover, and crop yield. …”
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Impact of an added milk intervention to a micronutrient fortified school feeding program on child diet, cognition, learning, nutritional status, school attendance, and health: Stat... by Bliznashka, Lilia, Gelli, Aulo

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Inferring population history from fine-scale spatial genetic analysis in Oryza rufipogon (Poaceae) by Xu, Xian, Lu, Bao-Rong, Chen, Yolanda H., Xu, Ming, Rong, Jun, Ye, Pingyang, Chen, Jiakuan, Song, Zhiping

“…Positive spatial genetic structures were detected by spatial autocorrelation statistics at the population (c. 63 m) and subpopulation levels (11–30 m), but the degree of autocorrelation was stronger at the population level. …”
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Genetic variability and individual assignment of Chinese indigenous sheep populations (Ovis aries) using microsatellites by Niu, L.L., Li, H.B., Ma, Y.H., Du, L.X.

“…The F?statistics for the six populations were FIS?=??0.172, FIT?…”
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Optimizing breeding strategies for early-maturing white maize through genetic diversity and population structure by Mukiti, H.M., Badu-Apraku, B., Abe, A., Adejumobi, I.I., Derera, J.

“…The pedigree-based phylogenetic tree showed substantial consistency with the heterotic groups identified. The F-statistics based on the underlying population structure revealed 10% variation among sub-populations and 90% variation within sub-populations with a moderate level of genetic differentiation (0.10). …”
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Poverty and inequality in Vietnam: spatial patterns and geographic determinants by Minot, Nicholas, Baulch, Bob, Epprecht, Michael

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Lekeberg – en levande landsbygdskommun by Vettorato, Kristin

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Genotyping-by-sequencing to unlock genetic diversity and population structure in white yam (dioscorea rotundata poir.) by Bhattacharjee, Ranjana, Agre, A.P., Bauchet, Guillaume J., Koeyer, D. de, López Montes, Antonio José, Kumar, P. Lava, Abberton, Michael T., Adebola, P.O., Asfaw, A., Asiedu, R.

“…This study showed that the use of advanced sequencing techniques such as GBS coupled with statistical analysis is a robust method for assessing genetic diversity and population structure in a complex crop such as white yam.…”
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Population genetic characteristics and mating type frequency of Venturia effusa from Pecan in South America by Bock, Clive H., Frusso, Enrique Alberto, Zoppolo, Roberto, Ortiz, Edson R., Shiller, Jason, Charlton, Nikki D., Young, Carolyn, Randall, Jennifer J.

“…There was evidence of population differentiation (Fst = 0.196) but the correlation between geographic distance and genetic distance was not statistically significant. …”
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Why the poor in rural Malawi are where they are: an analysis of the spatial determinants of the local prevalence of poverty by Benson, Todd, Chamberlin, Jordan, Rhinehart, Ingrid

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Why the poor in rural Malawi are where they are: an analysis of the spatial determinants of the local prevalence of poverty by Benson, Todd, Chamberlin, Jordan, Rhinehart, Ingrid

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Mapping populations at risk: improving spatial demographic data for infectious disease modeling and metric derivation by Tatem, Andrew J., Adamo, Susana, Bharti, Nita, Burgert, Clara R., Castro, Marcia, Dorelien, Audrey, Fink, Gunter, Linard, Catherine, John, Mendelsohn, Montana, Livia, Montgomery, Mark R., Nelson, Andrew, Noor, Abdisalan M., Pindolia, Deepa, Yetman, Greg, Balk, Deborah

“…Together, these freely available datasets form a rich resource for quantifying and understanding the spatial variations in the sizes and distributions of those most at risk of disease in low income regions, yet at present, they remain unconnected data scattered across national statistical offices and websites. In this paper we discuss the deficiencies of existing spatial population datasets and their limitations on epidemiological analyses. …”
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Human-nature interactions in the Afrotropics: experiential and cognitive connections among urban residents in southern Nigeria by Awoyemi, A.G., Ibanez-Rueda, N., Guardiola, J., Ibanez-Alamo, J.D.

“…We explored the extinction of experience among the urban populace in Nigeria, a clear Global South representative with rapidly increasing human population. We interviewed 600 adults from several cities and performed statistical tests. …”
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Out-of-sample validation of the external and internal Migration Propensity Index (MPI) in Honduras by Ceballos, Francisco, Hernandez, Manuel A.

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