Examinando por Autor "Injante Silva, Pedro Hugo"

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Agronomic behaviour and chemical composition of three varieties of Pennisetum sp in the Peruvian Tropics
(Hindawi, 2023-10-23) Watanabe Escobedo, Enrique Susumu; Juancho Ramirez, Ronald; Alvarado Atanacio, Carlos Enrique; López Rengifo, Debora; Injante Silva, Pedro Hugo; Ampuero Trigoso, Gustavo; Saucedo Uriarte, José Américo
Livestock production in the Peruvian tropics is mainly based on grazing and cutting grasses, which have variable productive and nutritional characteristics according to the variety of grasses, agronomic management, and climatic conditions. The objective of this research was to compare the agronomic behaviour and chemical composition of three varieties of Pennisetum sp (Pennisetum purpureum Schum cv. Cameroon or Cameroon grass, Pennisetum sp. or Maralfalfa, and Pennisetum purpureum × Pennisetum typhoides or King grass). The experiment was carried out at the Estación Experimental Agraria “Campo Verde,” Ucayali, Peru, under a randomized complete block design (RCBD) with a 3 (Pennisetum sp. variety) × 3 (cutting age) factorial arrangement and 4 replicates each. Thirty-six subplots were installed, and treatments were randomly assigned, using vegetative seed with three buds each. Measurements of agronomic behaviour and chemical analysis were carried out in the 8th, 12th, and 16th week. The data were subjected to ANOVA and multiple comparisons with the Duncan and Kruskal–Wallis tests ( < 0.05) and correlations using Pearson coefficients ( < 0.05). The agronomic behaviour did not vary between Pennisetum sp. varieties, but according to cutting age, Cameroon grass produced greater plant height, biomass, dry matter, and Mg content at the 8th week. The highest concentrations of N (2.38 ± 0.11%), P (0.18 ± 0.01%), and Ca (0.70 ± 0.03%) were recorded at the 8th week, Zn (27.33 ± 1.91 mg/kg) at the 12th week, and Mg (0.26 ± 0.02%) at the 16th week. A negative correlation was found between biomass and the stem-leaf ratio at the 12th week because the first leaves of plants died, but the stems increased in size. It is concluded that, at an early cutting age in varieties of Pennisetum sp., lower biomass and dry matter result, but higher content of N, P, Ca, and Fe; and at a late cutting age, it shows greater biomass, dry matter, Cu, and Mg content.
Assessment of the genetic diversity and population structure of the peruvian andean legume, tarwi (Lupinus mutabilis), with high quality SNPs
(MDPI, 2023-03-16) Huaringa Joaquin, Amelia Wite; Saldaña Serrano, Carla Lizet; Saravia Navarro, David; García Bendezú, Sady; Rodriguez Grados, Pedro Manuel; Salazar Coronel, Wilian; Camarena Mayta, Felix; Injante Silva, Pedro Hugo; Arbizu Berrocal, Carlos Irvin
Lupinus mutabilis Sweet (Fabaceae), “tarwi” or “chocho”, is an important grain legume in the Andean region. In Peru, studies on tarwi have mainly focused on morphological features; however, they have not been molecularly characterized. Currently, it is possible to explore the genetic parameters of plants with reliable and modern methods such as genotyping by sequencing (GBS). Here, for the first time, we used single nucleotide polymorphism (SNP) markers to infer the genetic diversity and population structure of 89 accessions of tarwi from nine Andean regions of Peru. A total of 5922 SNPs distributed along all chromosomes of tarwi were identified. STRUCTURE analysis revealed that this crop is grouped into two clusters. A dendrogram was generated using the UPGMA clustering algorithm and, like the principal coordinate analysis (PCoA), it showed two groups that correspond to the geographic origin of the tarwi samples. AMOVA showed a reduced variation between clusters (7.59%) and indicated that variability within populations is 92.41%. Population divergence (Fst) between clusters 1 and 2 revealed low genetic difference (0.019). We also detected a negative Fis for both populations, demonstrating that, like other Lupinus species, tarwi also depends on cross-pollination. SNP markers were powerful and effective for the genotyping process in this germplasm. We hope that this information is the beginning of the path towards a modern genetic improvement and conservation strategies of this important Andean legume.
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.
Draft genome sequence resource of Erwinia sp. Strain INIA01, a phytopathogen isolated from a diseased stalk of peruvian maize
(Microbiology resource announcements, 2023-04-13) Estrada Cañari, Richard; Saldaña Serrano, Carla Lizet; Pérez Porras, Wendy Elizabeth; Arteaga, Linda; Martínez Vidal, Gabriel; Injante Silva, Pedro Hugo; Duran Gomez, Moises Rodrigo; Salazar Coronal, Wilian; Cosme de la Cruz, Roberto Carlos; Poemape Tuesta, Carlos Augusto; Arbizu Berrocal, Carlos Irvin
Here, we report the complete genome sequence of Erwinia sp. strain INIA01, a bacterium isolated from lesions of Zea mays from northern Peru. This genome possesses two circular replicons, a 4.2-Mb chromosome, and a 438-kb plasmid.
Genetic diversity and population structure of the Peruvian Andean legume, tarwi (Lupinus mutabilis), with high quality SNPs
(MDPI, 2023-01-19) Huaringa Joaquin, Amelia; Saldaña Serrano, Carla Lizet; Saravia Navarro, David; García Bendezú, Sady; Rodriguez Grados, Pedro; Salazar Coronel, Wilian; Camarena, Felix; Injante Silva, Pedro Hugo; Arbizu Berrocal, Carlos Irvin
Lupinus mutabilis Sweet (Fabaceae), “tarwi” or “chocho”, is an important grain legume in the Andean region. In Peru, studies on tarwi have mainly focused on morphological features; however, they have not been molecularly characterized. Currently, it is possible to explore the genetic parameters of plants with reliable and modern methods such as genotyping by sequencing (GBS). Here, for the first time, we used single nucleotide polymorphism (SNP) markers to infer the genetic diversity and population structure of 89 accessions of tarwi from nine Andean regions of Peru. A total of 5922 SNPs distributed along all chromosomes of tarwi were identified. STRUCTURE analysis revealed that this crop is grouped into two clusters. A dendrogram was generated using the UPGMA clustering algorithm and, like the principal coordinate analysis (PCoA), it showed two groups that correspond to the geographic origin of the tarwi samples. AMOVA showed a reduced variation between clusters (7.59%) and indicated that variability within populations is 92.41%. Population divergence (Fst) between clusters 1 and 2 revealed low genetic difference (0.019). We also detected a negative Fis for both populations, demonstrating that, like other Lupinus species, tarwi also depends on cross-pollination. SNP markers were powerful and effective for the genotyping process in this germplasm. We hope that this information is the beginning of the path towards a modern genetic improvement and conservation strategies of this important Andean legume.
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.
The complete chloroplast genome of a centennial olive tree (Olea europaea, Oleaceae) from the southern Peruvian coast
(F1000Research, 2024-12-04) Saldaña, Carla L.; Chura Llanos, Luz S.; Estrada Cañari, Richard; Fernandez Huaytalla, Elizabeth; Zirena Vilca, Franz; Guerrero Abad, Juan Carlos; Amasifuen Guerra, Carlos Alberto; Gutierrez Reynoso, Dina Lida; Injante Silva, Pedro Hugo; Arbizu, Carlos I
Olive (Olea europaea Linaeus 1753) is one of the valuable fruit trees and very important edible oil plant in the world. The chloroplast (cp) genome of an olive tree (Olea europaea) from the southern Peruvian arid coast was obtained for the first time. Genomic DNA of high quality was used to generate librarieswith Illumina Hiseq paired-end methods. The cp genome is 155,886 pb in length and contains a large single-copy region (LSC) of 86,610 pb and a small single copy region (SSC) of 17,790 pb separated by two inverted repeat (IR) regions (25,741bp). The cp genome of olive contains 124 genes that consists of 80 protein-coding genes, 36 tRNA, eight rRNA. Phylogenetic analysis showed this olive tree is sister to O. europaea subsp. maroccana ( Oleeae tribe). This study presents the first overview of the chloroplast genome organization and phylogenetics of O. europaea, offering valuable insights for genetic and evolutionary research in the genus Olea.
Yield prediction of four bean (Phaseolus vulgaris) cultivars using vegetation indices based on multispectral images from UAV in an arid zone of Peru
(MDPI, 2023-05-19) Saravia Navarro, David; Valqui Valqui, Lamberto; Salazar Coronal, Wilian; Quille Mamani, Javier Alvaro; Barboza Castillo, Elgar; Porras Jorge, Zenaida Rossana; Injante Silva, Pedro Hugo; Arbizu Berrocal, Carlos Irvin
In Peru, common bean varieties adapt very well to arid zones, and it is essential to strengthen their evaluations accurately during their phenological stage by using remote sensors and UAV. However, this technology has not been widely adopted in the Peruvian agricultural system, causing a lack of information and precision data on this crop. Here, we predicted the yield of four beans cultivars by using multispectral images, vegetation indices (VIs) and multiple linear correlations (with 11 VIs) in 13 different periods of their phenological development. The multispectral images were analyzed with two methods: (1) a mask of only the crop canopy with supervised classification constructed with QGIS software; and (2) the grids corresponding to each plot (n = 48) without classification. The prediction models can be estimated with higher accuracy when bean plants reached maximum canopy cover (vegetative and reproductive stages), obtaining higher R2 for the c2000 cultivar (0.942) with the CIG, PCB, DVI, EVI and TVI indices with method 2. Similarly, with five VIs, the camanejo cultivar showed the highest R2 for both methods 1 and 2 (0.89 and 0.837) in the reproductive stage. The models better predicted the yield in the phenological stages V3–V4 and R6–R8 for all bean cultivars. This work demonstrated the utility of UAV tools and the use of multispectral images to predict yield before harvest under the Peruvian arid ecosystem.