Editorial: Genomic selection: Lessons learned and perspectives

Johannes Martini Sarah Hearne Valentin Wimmer Fernando Henrique Toledo (2022, [Artículo])

Genomic Selection Selection Gain Breeding Schemes CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA BREEDING PROGRAMMES MARKER-ASSISTED SELECTION GENOTYPE ENVIRONMENT INTERACTION PLANT BREEDING

Diseases of maize and phenotyping

Suresh L.M. (2023, [Objeto de congreso])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DISEASE RESISTANCE MAIZE PHENOTYPING GERMPLASM MARKER-ASSISTED SELECTION

Unsupervised segmentation and clustering time series approach to Southern Africa rainfall regime changes

Lovemore  Chipindu Walter Mupangwa Isaiah Nyagumbo Mainassara Zaman-Allah (2023, [Artículo])

Autoregressive Integrated Moving Average Facebook Prophet Hidden Markov Model Regression Regression with Hidden Logistic Process CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA COASTAL AREAS SEMIARID ZONES SUBHUMID ZONES RAINFALL CLIMATE CHANGE

Indian wheat genomics initiative for harnessing the potential of wheat germplasm resources for breeding disease-resistant, nutrient-dense, and climate-resilient cultivars

Sundeep Kumar Reyaz Mir Pawan Kulwal UTTAM KUMAR suneel kumar Shailendra Sharma Ravinder Singh Amit Singh Dr. Subhash Bhardwaj Manoj Prasad Kuldeep Singh (2022, [Artículo])

Indian Wheat Genomics Initiative Genomic Selection CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA WHEAT GENETIC RESOURCES MARKER-ASSISTED SELECTION GENE BANKS STRESS ABIOTIC STRESS BIOTIC STRESS

Editorial: Functional genomic approaches in molecular breeding for crop improvement

Philomin Juliana (2023, [Artículo])

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DNA MARKER-ASSISTED SELECTION QUANTITATIVE TRAIT LOCI CROP IMPROVEMENT

Vibrissa growth rate in California sea lions based on environmental and isotopic oscillations

MARTHA PATRICIA ROSAS HERNANDEZ (2018, [Artículo])

Pinniped vibrissae provide information on changes in diet at seasonal and annual scales; however, species-specific growth patterns must first be determined in order to interpret these data. In this study, a simple linear model was used to estimate the growth rate of vibrissae from adult female California sea lions (Zalophus californianus) from San Esteban Island in the Gulf of California, Mexico. The δ15N and δ13C values do not display a marked oscillatory pattern that would permit direct determination of the time period contained in each vibrissa; thus, time (age) was calculated in two ways: 1) based on the correlation between the observed number of peaks (Fourier series) in the δ15N profile and the length of each vibrissa, and 2) through direct comparison with the observed number of peaks in the δ15N profile. Cross-correlation confirmed that the two peaks in the δ15N profile reflected the two peaks in the chlorophyll-a concentration recorded annually around the island. The mean growth rate obtained from the correlation was 0.08 ± 0.01 mm d-1, while that calculated based on the observed number of peaks was 0.10 ± 0.05 mm d-1. Both are consistent with the rates reported for adult females of other otariid species (0.07 to 0.11 mm d-1). Vibrissa growth rates vary by individual, age, sex, and species; moreover, small differences in the growth rate can result in significant differences over the time periods represented by the isotopic signal. Thus, it is important to assess this parameter on a species-by-species basis. © 2018 Rosas-Hernández et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

carbon, nitrogen, animal, California, chemistry, diet, female, island (geological), Mexico, Otariidae, physiology, Animals, California, Carbon Isotopes, Diet, Female, Islands, Mexico, Nitrogen Isotopes, Sea Lions CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA CIENCIAS DE LA TIERRA Y DEL ESPACIO OCEANOGRAFÍA OCEANOGRAFÍA

Estimación de parámetros de infiltración a partir de mediciones de avance de riego por melgas empleando las ecuaciones de Saint-Venant, y Green y Ampt

Heber Saucedo MANUEL ZAVALA TREJO CARLOS FUENTES RUIZ (2016, [Artículo])

Se presenta un método para realizar la estimación de parámetros de infiltración con base en el empleo de las ecuaciones de Saint-Venant para describir el flujo del agua sobre el suelo, y la ecuación de Green y Ampt para representar el flujo del agua en el suelo. La estimación de los parámetros hidrodinámicos de conductividad hidráulica a saturación y presión en el frente de humedad, se realiza aplicando el método Levenberg-Marquardt. El modelo así obtenido, permite el ajuste de los parámetros hidrodinámicos a partir de datos de pruebas de avance de riego por melgas y de la textura del suelo.

Riego por inundación controlada Modelos matemáticos Método Levenberg-Marquardt CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA

Efficacy of plant breeding using genomic information

Osval Antonio Montesinos-Lopez Alison Bentley Carolina Saint Pierre Leonardo Abdiel Crespo Herrera Morten Lillemo Jose Crossa (2023, [Artículo])

Genomic Selection Genomic Prediction Genomic Best Linear Unbiased Predictor CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA PLANT BREEDING GENOMICS MARKER-ASSISTED SELECTION ENVIRONMENT

Effectiveness of R1-nj anthocyanin marker in the identification of in vivo induced maize haploid embryos

Manje Gowda Prasanna Boddupalli Kanwarpal Dhugga Vijay Chaikam (2023, [Artículo])

R1-nj Marker Embryo Rescue False Positives False Detection Rate False Negative Rate CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA DOUBLED HAPLOIDS MAIZE BREEDING PROGRAMMES INBRED LINES CROPS

Multi-environment genomic prediction of plant traits using deep learners with dense architecture

Osval Antonio Montesinos-Lopez Jose Crossa (2018, [Artículo])

Shared Data Resources Deep Learning Genomic Prediction CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ACCURACY GENOMICS NEURAL NETWORKS FORECASTING DATA MARKER-ASSISTED SELECTION