In genomic selection (GS), genotype × environment interaction (G E) can be modeled by a marker (M E). The G E may through linear kernel or nonlinear (Gaussian) kernel. this study, we propose using two Gaussian kernels: the reproducing Hilbert space with averaging (RKHS KA) and bandwidth estimated an empirical Bayesian method EB). We performed single-environment analyses extended to account for (GBLUP-G E, RKHS KA-G EB-G in wheat ( L.) maize data sets. For of sets, EB KA had higher prediction...

The general method currently used to analyze radiocarbon data ( y ) is conditional on the standard deviation (σ), reported by 14 C laboratories, which reflects uncertainty in dating process. This measured through a series of empirical as well theoretical considerations about process, chemical preprocessing, etc. Nevertheless, σ assumed known statistical model for since dawn discipline. paper proposes analysis where associated variance taken product an unknown constant α with sum laboratory 2...

ABSTRACT Much research has been conducted using least squares estimates of the linear–bilinear model additive main effects and multiplicative interaction (AMMI). The difficulty with standard models is that statistical inference on bilinear genotype × environment cannot be incorporated easily into biplot first two components. This proposes a Bayesian approach for parameters AMMI Gibbs sampler saves computing time makes algorithm stable. Data from one maize ( Zea mays L.) multi‐environment...

Heritabilities and correlations for milk yield (MY), fat (FY), protein (PY), combined (FPY), percentage (F%), (P%), age at first kidding (AFK), interval between the second (KI), real functional productive life 72mo (FPL72) of 33,725 US dairy goats, were estimated using animal models. Productive was defined as total days in production until (PL72) goats having opportunity to express trait. Functional obtained by correcting PL72 MY, FY, PY, final type score (FS). Six selection indexes used,...

One of the most widely used kernel functions in genomic-enabled prediction is Gaussian kernel. Selection bandwidth parameter for regression has generally been based on cross-validation. We propose a Bayesian method estimating h as modal component joint posterior distribution and form $$\varphi $$ . present theory selection Transformed Kernel (TGK) model its application two plant breeding datasets (maize wheat) that were already predicted using averaging (KA) context Reproducing Hilbert...

Statistical analyses of two-way tables with interaction arise in many different fields research. This study proposes the von Mises–Fisher distribution as a prior on set orthogonal matrices linear–bilinear model for studying and interpreting table. Simulated empirical plant breeding data were used illustration; consist multi-environment trial established two consecutive years. For simulated data, vague but proper distributions used, real observations from first year to elicit parameters...

Isolated trees in several ecosystems can contribute to the accumulation of soil organic matter (SOM), carbon (C), and essential nutrients such as nitrogen (N) soil. We investigated potential Lysiloma acapulcense (Kunth) Benth. Vachellia pennatula (Schltdl. & Cham.) Seigler Ebinger promote SOM, C, nutrient pastures. V. accumulated similar total N (3.5 3.2 mg g−1) but more than open pasture (2.4 g−1), P (0.29 0.31 under their canopies (0.21 g−1). Both species influence processes that increase...

<p class="normal">La estimación de la densidad fauna silvestre permite tener una idea del estado salud las poblaciones y en algunos casos indica el conservación los ecosistemas. Los métodos evaluación deben hacer estimaciones no sesgadas, ya que servirán base para estrategias especies clave. Algunas regiones México han sido identificadas como áreas alta prioridad con cierto nivel riesgo, es Península Yucatán (PY), donde prevalece mayor población jaguares México. Sin embargo, poco se...

In agriculture and plant breeding, multienvironment trials over multiple years are conducted to evaluate predict genotypic performance under different environmental conditions analyze, study, interpret genotype × environment interaction ( G E ). this we propose a hierarchical Bayesian formulation of linear–bilinear model, where the conditional conjugate prior for bilinear (multiplicative) term is matrix von Mises–Fisher (mVMF) distribution (with environments sites defined as synonymous). A...

Genomic selection (GS) is a technology used for genetic improvement, and it has many advantages over phenotype-based selection. There are several statistical models that adequately approach the challenges in GS, such as linear mixed (LMMs). An active area of research development software fitting LMMs mainly to make genome-based predictions. The lme4 standard package generalized R-package, but its use analysis limited because does not allow correlation between individuals or groups be...

Se determinó el rendimiento y calidad del forraje en un sistema silvopastoril con Leucaena leucocephala cv. Cunningham (5000 árboles ha-1) asociado Megathyrsus maximus Tanzania, cuatro intervalos de descanso (20, 30, 40 50 d), dos épocas (lluvias seca) clima cálido Subhúmedo. Los tratamientos se distribuyeron aleatoriamente a las unidades experimentales (12 parcelas, 24 m2 c/u) evaluó nutritiva la época húmeda (agosto-octubre, 2014) seca (marzo-abril, 2015). La gramínea aportó mayor...

Activity patterns have been explained as one of the axes that allow niche segregation, which helps explain coexistence species, researchers overlooked relevance these and their effects on community dynamics. At northern Quintana Roo, Mexico, activity jaguar ( Panthera onca ), puma Puma concolor ) 18 potential preys were evaluated by camera trapping in 2008, 2010 - 2012. The objectives determining overlap circadian cycles between pumas, jaguars prey to know if change over time. For study only...

As a result of the technological progress, use sensors for crop survey has substantially increased, generating valuable information modelling agricultural data. Plant spectroscopy jointly with statistical modeling can potentially help to assess certain chemical components interest present in plants, which may be laborious and expensive obtain by direct measurements. In this research, phosphorus content wheat grain is modeled using reflectance measured hyperspectral sensor at different...

Selecting and mating parents in conventional phenotypic genomic selection are crucial. Plant breeding programs aim to improve the economic value of crops, considering multiple traits simultaneously. When negatively correlated and/or when there missing records some traits, becomes more complex. To address this problem, we propose a multitrait approach using Multitrait Parental Selection (MPS) R package-an efficient tool for genetic improvement, precision breeding, conservation genetics. The...

La tortilla es considerada el alimento principal de los mexicanos, provee energía por su contenido alto carbohidratos y aporta calcio, potasio, fósforo, fibra, proteínas algunas vitaminas. El objetivo del presente estudio fue caracterizar a consumidores Estado México para identificar tipo las características producto que demandan cuantificar la correlación estos aspectos con niveles ingreso consumo. metodología consistió algoritmo CHAID (Chi-squared Automatic Interaction Detection) pruebas...

En este estudio, se modelan y analizan los eventos de incendios forestales registrados en últimos 19 años por el satélite observación MODIS estado Oaxaca; para ello, utilizó un modelo Poisson jerárquico bayesiano, cual modela número espacial temporalmente, así como la interacción ambos. De acuerdo con resultados, algunas variables ambientales temperatura del trimestre más seco, velocidad media viento, índice vegetación mejorado ocurrencia fenómeno El Niño-Oscilación Sur, explican parte...

Genomic-enabled prediction in plant and animal breeding has become an active area of research. Many models address the collinearity that arises when number (p) molecular markers (e.g. single-nucleotide polymorphisms) is larger than sample size (n). Here we propose four Bayesian approaches to problem based on commonly used data reduction methods. Specifically, use a Gaussian linear model for orthogonal transformation both observed matrix markers. Because shrinkage estimates affected by prior...

Worldwide big cats are at risk of extinction, and anthropogenic factors natural habitat disturbances represent the biggest threats for their survival. It is essential to know resources use by these predators way felids adapt changes. unknown how puma (Puma concolor) selects uses resources, what environmental determine its presence this species affected in Mexican tropical forests. This study was performed El Eden ecological reserve surroundings, North Quintana Roo, Mexico, an area dominated...

Plant and animal breeders are interested in selecting the best individuals from a candidate set for next breeding cycle. In this paper, we propose formal method under Bayesian decision theory framework to tackle selection problem based on genomic (GS) single- multi-trait settings. We proposed tested three univariate loss functions (Kullback-Leibler, KL; Continuous Ranked Probability Score, CRPS; Linear-Linear loss, LinLin) their corresponding multivariate generalizations Energy EnergyS;...

The study was carried out in a median stature tropical forest the north of Quintana Roo during 2008, 2010-2012, using camera traps to record activity and habitat use by jaguar other vertebrates. Spatial temporal variations use, patterns, species associations were analyzed chi-squared test (x2). Generalizedlinear models (GLM) used determine which variables influenced presence jaguars area. Jaguars most frequently recorded acahual (80%) on roads (66.9%). There significant differences between...