Artículos preliminares

URI permanente para esta colecciónhttps://repositorio.inia.gob.pe/handle/20.500.12955/9

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Mostrando 1 - 8 de 8

Agro-morphological characterization and diversity analysis of Coffea arabica germplasm collection from INIA, Peru
(John Wiley & Sons Inc., 2023-04-04) Paredes Espinosa, Richard; Gutiérrez Reynoso, Dina Lida; Atoche Garay, Diego Fernando; Abad Romaní, Yudi Gertrudis; Girón Aguilar, Rita Carolina; Flores Torres, Itala; Montañez Artica, Ana Gabriela; Arbizu Berrocal, Carlos Irvin; Amasifuen Guerra, Carlos Alberto; Poemape Tuesta, Carlos Augusto; Guerrero Abad, Juan Carlos
Coffee (Coffea arabica L.) plays a major role in the economy of Peru and the world. The present study aims to elucidate the agro-morphological variability of coffee genotypes maintained in the INIA´s germplasm collection. Therefore, 20 vegetative, reproductive, and phytosanitary traits of 162 coffee accessions of INIA’s germplasm collection were evaluated and analyzed. Correlation results indicate that a simultaneous selection of characters, such as number of branches per plant, number of nodes per branch, leaf area and weight of a hundred fruits, can contribute to increase coffee yields. Additionally, coffee yield was negatively correlated with the incidence and severity of coffee leaf rust, and interestingly the occurrence of small and compact coffee plants with high resistance to the disease was also found. The analysis of Tocher and Mahalanobis D2 determined the formation of 10 groups of divergent coffee accessions; where clusters 1 (accession codes 20, 29, 38, 54, 67, 71, 117, 24, 26 and 27), 5 (accession codes 46 and 53), 9 (accession code 159), and 10 (accession code 203) group promising accessions that can be used in breeding programs. Principal component analysis (PCA) showed that at least five of its principal components managed to explain 70.01% of the total variation in the collection. Finally, the high coefficients obtained for the phenotypic, genotypic and heritability variation confirm the existence of additive genes in the evaluated population, that would ensure the success of coffee breeding programs based on the selection of traits of agronomic importance.
Draft genome sequence and SSR data mining of “pumpo” (Bos taurus), a top bull from a peruvian genetic nucleus
(MDPI, 2024-06-18) Estrada Cañari, Richard; Romero Avila, Yolanda; Figueroa Venegas, Deyanira Antonella; Quilcate Pairazaman, Carlos Enrique; Casanova Nuñez-Melgar, David Pavel; Vásquez Pérez, Hector Vladimir; Alvarado Chuqui, Wigoberto; Maicelo Quintana, Jorge Luis; Arbizu Berrocal, Carlos Irvin
Pumpo is a Simmental breed and an essential livestock resource in the nucleus genetic cattle of Peru. This study provides a draft genome sequence of a top bull using a de novo assembly approach on the Illumina Novaseq X platform, yielding 208 GB of raw sequencing data with 150 bp paired‐end reads. The final genome assembly resulted in a size of 2.06 Gb with an N50 contig length of 108 Mb and a completeness of 95.7% according to BUSCO analysis. A total of 973,925 simple sequence repeats (SSRs) were identified, with a predominance of mononucleotide repeats. The genome showed low heterozygosity (0.568%) and moderate repeatability (11.5%), aligning with other Bos taurus genomes. Reference‐guided scaffolding improved the assembly quality significantly, producing an N50 scaffold value of 108 Mb. The SSR analysis of the Pumpo genome identified 973,925 SSRs with a frequency of 2,808 SSRs per kilobase, predominantly mononucleotide repeats, and 85,453 found in compound formations. Obtaining knowledge of the genome of a breeding Simmental bull is essential to optimize breeding programs and improve productivity.
First draft genome assembly of the Peruvian creole cattle breed (Bos taurus) and its comparative genomics among the Bovinae subfamily
(MDPI, 2022-08-18) Estrada Cañari, Richard; Corredor Arizapana, Flor Anita; Figueroa Venegas, Deyanira Antonella; Salazar Coronel, Wilian; Quilcate Pairazamán, Carlos Enrique; Vásquez Pérez, Héctor Vladimir; Maicelo Quintana, Jorge Luis; Gonzales, Jhony; Arbizu Berrocal, Carlos Irvin
The Peruvian creole cattle (PCC) is a neglected breed, and is an essential livestock resource in the Andean region of Peru. To develop a modern breeding program and conservation strategies for the PCC, a better understanding of the genetics of this breed is needed. We sequenced the whole genome of the PCC using a paired-end 150 strategy on the Illumina HiSeq 2500 platform, obtaining 320 GB of sequencing data. The obtained genome size of the PCC was 2.77 Gb with a contig N50 of 108Mb and 92.59% complete BUSCOs. Also, we identified 40.22% of repetitive DNA of the genome assembly, of which retroelements occupy 32.39% of the total genome. A total of 19,803 protein-coding genes were annotated in the PCC genome. We downloaded proteomes and genomes of the Bovinae subfamily, and conducted a comparative analysis with our draft genome. Phylogenomic analysis showed that PCC is related to Bos indicus. Also, we identified 7,746 family genes shared among the Bovinae subfamily. This first PCC genome is expected to contribute to a better understanding of its genetics to adapt to the tough conditions of the Andean ecosystem, and evolution.
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.
Prediction of biometric variables through multispectral images obtained from UAV in beans (Phaseolus vulgaris L.) during ripening stage
(MDPI, 2021-06-04) Quille Mamani, Javier Alvaro; Porras Jorge, Rossana; Saravia Navarro, David; Herrera, Jordán; Chávez Galarza, Julio César; Arbizu Berrocal, Carlos Irvin
Here, we report the prediction of vegetative stages variables of canary bean crop by means of RGB and multispectral images obtained from UAV during the ripening stage, correlating the vegetation indices with biometric variables measured manually in the field. Results indicated a highly significant correlation of plant height with eight RGB image vegetation indices for the canary bean crop, which were used for predictive models, obtaining a maximum correlation of R2 = 0.79. On the other hand, the estimated indices of multispectral images did not show significant correlations.
Revealing the Complete Chloroplast Genome of an Andean Horticultural Crop, Sweet Cucumber (Solanum muricatum), and Its Comparison with Other Solanaceae Species
(MDPI, 2022-05-17) Saldaña Serrano, Carla Lizet; Chávez Galarza, Julio César; De la Cruz, Germán; Jhoncon, Jorge H.; Guerrero Abad, Juan Carlos; Vásquez Pérez, Héctor Vladimir; Maicelo Quintana, Jorge Luis; Arbizu Berrocal, Carlos Irvin
Sweet cucumber (Solanum muricatum) sect. Basarthrum is a neglected horticultural crop native of the Andean region. It is naturally distributed very close to other two Solanum crops of high importance, potatoes and tomatoes. To date, molecular tools for this crop are still undetermined. In this study, the complete sweet cucumber chloroplast (cp) genome was obtained and compared with seven Solanaceae species. The cp genome of S. muricatum had a 155,681 bp in length with included a large single copy (LSC) region of 86,182 bp and a small single-copy (SSC) region of 18,360 bp, separated by a pair of inverted repeats (IR) regions of 25,568 bp. The cp genome possessed 88 protein-coding genes (CDS), 37 transfer RNA (tRNA) genes, eight ribosomal RNA (rRNA) genes, and one pseudogene. Furthermore, 48 perfect microsatellites were identified, divided in mononucleotide repeats (32), followed by tetranucleotide (6) and dinucleotides (5). Microsatellites with trinucleotides repeats (3), pentanucleotide (1) and hexanucleotide (1) repeats motifs in these genomes were also identified, but in lower quantity. These repeats were mainly located in the noncoding regions. Whole cp genome comparative analysis revealed that the SSC and LSC regions showed more divergence than IR regions. Our phylogenetic analysis showed that S. muricatum is a sister species to members of sections Petota + Lycopersicum + Etuberosum. We expect to provide useful molecular data to shed light on the genetic diversity within sweet cucumber landrace, and also to determine the evolutionary processes in S. muricatum.
Unlocking the Complete Chloroplast Genome of a Native Tree Species from the Amazon Basin, Capirona (Calycophyllum spruceanum Benth., Rubiaceae), and Its Comparative Analysis with Other Ixoroideae Species
(MDPI, 2021-11-29) Saldaña Serrano, Carla Lizet; Rodriguez Grados, Pedro; Chávez Galarza, Julio César; Feijoo Narvasta, Shefferson; Guerrero Abad, Juan Carlos; Maicelo Quintana, Jorge Luis; Jhoncon, Jorge H.; Arbizu Berrocal, Carlos Irvin
Capirona (Calycophyllum spruceanum Benth.) belongs to subfamily Ixoroideae, one of de major lineages in the Rubiaceae family, and is an important timber tree, with origin in the Amazon Basin and has widespread distribution in Bolivia, Peru, Colombia, and Brazil. In this study, we obtained the first complete chloroplast (cp) genome of capirona from department of Madre de Dios located in the Peruvian Amazon. High-quality genomic DNA was used to construct librar-ies. Pair-end clean reads were obtained by PE 150 library and the Illumina HiSeq 2500 platform. The complete cp genome of C. spruceanum has a 154,480 bp in length with typical quadripartite structure, containing a large single copy (LSC) region (84,813 bp) and a small single-copy (SSC) region (18,101 bp), separated by two inverted repeat (IR) regions (25,783 bp). The annotation of C. spruceanum cp genome predicted 87 protein-coding genes (CDS), 8 ribosomal RNA (rRNA) genes, 37 transfer RNA (tRNA) genes and 01 pseudogene. A total of 41 simple sequence repeats (SSR) of this cp genome were divided into mononucleotides (29), dinucleotides (5), trinucleotides (3), and tetranucleotide (4). Most of these repeats were distributed in the noncoding regions. Whole chloroplast genome comparison with the other six Ixoroideae species revealed that the small single copy and large single copy regions showed more divergence than invert regions. Finally, phylogenetic analysis resolved that C. spruceanum is a sister species to Emmenopterys henryi, and confirms its position within the subfamily Ixoroideae. This study reports for the first time the genome organization, gene content, and structural features of the chloroplast genome of C. spruceanum, providing valuable information for genetic and evolutionary studies in the genus Calycophyllum and beyond.
Yield predictions of four hybrids of maize (Zea mays) using multispectral images obtained from RPAS in the coast of Peru
(MDPI, 2022-05-17) Saravia Navarro, David; Salazar Coronel, Wilian; Valqui Valqui, Lamberto; Quille Mamani, Javier Alvaro; Porras Jorge, Rossana; Corredor Arizapana, Flor Anita; Barboza Castillo, Elgar; Vásquez Pérez, Héctor Vladimir; Arbizu Berrocal, Carlos Irvin
Early assessment of crop development is a key aspect of precision agriculture. Shortening the time of response before a deficit of irrigation, nutrients and damage by diseases is one of the usual concerns in agriculture. Early prediction of crop yields can increase profitability in the farmer's economy. In this study we aimed to predict the yield of four maize commercial hybrids (Dekalb7508, Advanta9313, MH_INIA619 and Exp_05PMLM) using remotely sensed spectral vegetation indices (VI). A total of 10 VI (NDVI, GNDVI, GCI, RVI, NDRE, CIRE, CVI, MCARI, SAVI, and CCCI) were considered for evaluating crop yield and plant cover at 31, 39, 42, 46 and 51 days after sowing (DAS). A multivariate analysis was applied using principal component analysis (PCA), linear regression, and r-Pearson correlation. In the present study, highly significant correlations were found between plant cover with VIs at 46 (GNDVI, GCI, RVI, NDRE, CIRE and CCCI) and 51 DAS (GNDVI, GCI, NDRE, CIRE, CVI, MCARI and CCCI). The PCA indicated a clear discrimination of the dates evaluated with VIs at 31, 39 and 51 DAS. The inclusion of the CIRE and NDRE in the prediction model contributed to estimate the performance, showing greater precision at 51 DAS. The use of RPAS to monitor crops allows optimizing resources and helps in making timely decisions in agriculture in Peru.

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Examinando Artículos preliminares por Autor "Arbizu Berrocal, Carlos Irvin"