Examinando por Autor "Lobato Gálvez, Roiser Honorio"

Mostrando 1 - 3 de 3

Atlas de las Estaciones Experimentales Agrarias del INIA
(Instituto Nacional de Innovación Agraria, 2023-10-30) Cruz Luis, Juancarlos Alejandro; Ortiz Morera, Narda Cecilia; Quispe Torres, Diego Rafael; Lobato Gálvez, Roiser Honorio; Ramirez Rojas, Max Augusto; Toledo Choquehuanca, José Jesús Martín; Bautista Reynoso, Ayrton Edwin; Macavilca Villar, Pedro Miguel; Ascoy Cancino, José Ricardo; Casaretto Castagnino, Duilio Casaretto; Servan Montalvo, Henry Eduardo; Hernández Apari, Karla Guadalupe
El presente Atlas contiene información de los aspectos relevantes de las Estaciones Experimentales Agrarias, tales como: creación, Centros Experimentales, ubicación y ámbito de intervención. Asimismo, presenta una colección de mapas que contribuye al conocimiento geográfico de éstas, así como de las actividades de conservación y puesta en valor de recursos genéticos, investigación, desarrollo tecnológico, producción de material genético de calidad, transferencia de tecnología, extensión agraria y servicios tecnológicos agrarios que se desarrollan a nivel nacional.
Current and future distribution of Shihuahuaco (Dipteryx spp.) under climate change scenarios in the Central-Eastern Amazon of Peru
(MDPI, 2023-05-10) Cárdenas Rengifo, Gloria Patricia; Bravo Morales, Nino Frank; Barboza Castillo, Elgar; Salazar Coronal, Wilian; Ocaña Reyes, Jimmy Alcides; Vásquez Macedo, Miguel; Lobato Gálvez, Roiser Honorio; Injante Silva, Pedro Hugo; Arbizu Berrocal, Carlos Irvin
The consequences of climate change influence the distribution of species, which plays a key role in ecosystems. In this work, the modeling of the current and potential future distribution was carried out under different climate change scenarios of a tree species of high economic and commercial value, Dipteryx spp. This is a hardwood species that plays an important role in carbon sequestration, providing food and nesting for wildlife species, reaching more than 40 m in height with an average diameter of 70 to 150 cm. This species is currently threatened by overexploitation. Thirty-six bioclimatic, topographic and edaphic variables with ~1 km2 spatial resolution obtained from the WorldClim, SoilGrids and SRTM databases where used. Highly correlated variables were identified with the MaxEnt software for forecasting how the species distribution will be affected until the year 2100, according to the climate scenarios SPP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5, representing the periods 2021–2040, 2041–2060, 2061–2080 and 2081–2100, respectively. The AUC accuracy value of 0.88 to 0.89 was found for the distribution models and the highest contributing variables used were Bio 5, precipitation, Bio 2, and Bio 14. In the climate scenario SPP1-2.6 (Bio 5, precipitation and Bio 2) in 2061–2080, suitable and very suitable habitats represented 30.69% of the study area (2616 ha and 586.97 ha, respectively) and those increased by 1.75% under current climate conditions, and the suitable and unsuitable habitats represented 69.31% of the total area. The results of this research provide valuable information on the current and future distribution of the species and identify zones that can be used as the basis for the creation of conservation areas, formulation of restoration projects, reforestation and sustainable management to avoid the extinction of the species in the face of the effects of climate change.
Genome-wide single nucleotide polymorphisms reveal the genetic diversity and population structure of Creole goats from northern Peru
(Elsevier, 2024-04-24) Corredor Arizapana, Flor Anita; Figueroa Venegas, Deyanira Antonella; Estrada Cañari, Richard; Burgos Paz, William; Salazar Coronel, Wilian; Cruz Góngora, Wilder; Lobato Gálvez, Roiser Honorio; Injante Silva, Pedro Hugo; Godoy Padilla, David José; Barrantes Bravo, Christian Alfredo; Ganoza Roncal, Jorge Juan; Cruz Luis, Juancarlos Alejandro; Arbizu Berrocal, Carlos Irvin
Goat farming constitutes a significant source of income for farmers in northern Peru. There is currently an absence of information about the genetics of Peruvian Creole goats that would enable us to understand their origins and genetic spread. The objective of this study was to estimate the genetic diversity of Creole goats from northern Peru using SNP markers. This study involved the collection of 192 male Creole goats from three key goat production geographical departments in northern Peru. These goat samples were genotyped using the GGPGoat70k SNP panel. To explore the genetic influence of other breeds on Peruvian Creole goats, our dataset was combined with previously published SNP genotypes. External data set includes multiple breeds genotypes sampled from Argentina, Brazil, Spain, and Alpine breed from Italy, France, and Switzerland. After quality control 52,832 autosomal SNPs were used to assess genetic diversity in the Peruvian goats. For the population structure analysis of the merged data 20,513 common SNPs were used. Estimations for expected heterozygosity (He), observed heterozygosity (Ho), and inbreeding coefficient (FIS) were computed for the Peruvian groups. AMOVA, principal component analysis and ADMIXTURE were conducted to evaluate the population structure in the two data sets, Peru and merged. The results revealed a considerable genetic diversity, with Ho values ranging from 0.40 to 0.41 for the Peruvian sampling groups, and inbreeding coefficient was notably low for Peruvian goat. The population structure analysis demonstrated a distinction (p < 0.05) from other breeds. These findings suggest a level of genetic differentiation of the Peruvian goat population among other breeds, although further research is needed considering samples from other Peruvian areas. We expect this study will contribute to define genetic management strategies to prevent the loss of genetic diversity in Peruvian goat populations and for upcoming advancements in this field.