The genetic diversity of sweet potato [Ipomoea batatas (L.) Lam.] and its wild relatives has been collected and conserved in germplasm collections worldwide and explored employing several tools. The characterization of crops diversity through morphological tools produce useful information. However, the use of conventional morphological descriptions exhibits limitations due to the use of subjective and categorical parameters that affect phenotypic description and diversity estimation. In order to increase the efficiency to discriminate different phenotypes not detected by conventional morphological descriptors, new phenomic approaches were used. Seventy sweet potato accessions collected in the northern coast of Colombia were characterized by forty-nine parameters from conventional sweet potato descriptors and data obtained by RGB imaging and colourimetry. Field descriptions, RGB imaging-colourimetry and both databases integrated were analysed using Gower’s general similarity coefficient for clustering. Estimation of genotype similarity was significantly improved when quantitative data obtained by RGB imaging and colourimetry analysis were included. Variations in traits such as flesh and periderm colour in roots, leaves, vein colour and leaf shape that were not detected by field descriptors, were efficiently discriminated by measuring pixel values from images, estimation of shape descriptors (circularity, solidity, area) and colourimetry data. Expected high correlations were found for field parameters (number of lobes, lobe type, and central lobe shape) and image data (circularity, roundness and solidity). The combination of RGB imaging and colourimetry benefits the quality of morphological characterizations, resulting in a cost-effective process that is able to identify polymorphisms and target traits for diversity estimation and breeding.

Adaptation to several environmental conditions is a challenge for breeders for producing new varieties. Breeders select genotypes which show higher performance according to desired traits compared to the average of a large segregant population. In several crops, the selection index is mainly based on traits such as yield, quality, adequate plant architecture, etc. Therefore, multi-trait selection allows for the identification of genotypes that integrally exhibit a better profile and stability, in addition to the dissection of promising varieties based on their superiority in an evaluated population. In this paper, a multi-trait index included in an R tool named CropInd was used to estimate the agronomic performance of 19 sweet potato genotypes in multi-environmental evaluations (three cycles and eight locations). Here, the multi-trait index incorporated variables such as total and commercial fresh root yield, along with survival percentage, which were used in this study. Simultaneously, stability and genetic gain analysis were included to select superior sweet potato genotypes. Results showed that the CropInd script is a suitable and convenient tool for genotype selection based on multi-trait and multi-environmental data. Indexes for specific environment and general behavior (combining multi-environments) were the main output used for genotype selection. Multi-trait selection index, stability, and genetic gain analysis assisted the phenotypic selection performed by breeders. This study resulted in the selection of 0113-672COR as new variety for the Colombian Caribbean region due to its multi-trait performance and stability.

La heterosis animal es clave en la obtención de animales más productivos y mejor adaptados al trópico. Sin embargo, el inadecuado manejo genético conlleva a la obtención de mosaicos de razas que incluye la pérdida del potencial productivo del hato. El objetivo de este estudio fue definir la composición racial de bovinos mestizos doble propósito en el piedemonte Llanero departamento del Meta-Colombia. Un total de 126 individuos mestizos (MEZ) de seis hatos fueron evaluados por una aproximación fenotípica (APF) y una genotípica (ARG). Para ARG se incluyeron las razas control asociadas a Bos taurus taurus y Bos taurus indicus, para ello se genotiparon con un chip de GeneSeek GGP-LD de 26K de SNP y se analizaron mediante análisis de componentes principales (PCA) y asignación probabilística bayesiana de ADMIXTURE. Las agrupaciones raciales generadas por APF variaron respecto de ARG. El análisis molecular detectó siete (k= 7) grupos genéticos en la composición racial de los animales de estudio. Las tres razas con mayor participación en la composición racial de los individuos mestizos fueron: Holstein, Gyr, Brahman con 23.4, 21.4, y 21 % respectivamente, mientras que las restantes Blanco Orejinegro, Pardo Suizo, Normando y Jersey no superaron el 13 %. A diferencia de APF, la aproximación ARG permitió de forma efectiva la identificación de la composición racial de bovinos mestizos y suministró información clave en miras de desarrollo de programas de apareamiento que buscan mejorar indicadores productivos, y a su vez propendan por la adaptación de los animales requisito indispensable para los sistemas bovino doble propósito.

The Romosinuano cattle breed is one of the most important Creole genetic resources in Colombia, and interesting traits like adaptation or reproductive efficiency have promoted its use in different countries in America. To consolidate the genealogical historical records, the review of very first yield records in this population was used to reconstruct the genealogy of the breed since the first animals incorporated to the in vivo germplasm bank and estimate different demographic parameters. The complete genealogy comprises 17,136 animals with 5.8 years of generation interval for two pathways. The estimated average inbreeding for the population and inbred animals was 2.53% and 6.32% respectively, with a progressive increase of inbred animals across the generations. Almost 48% of the total animals presented some level of consanguinity. Effective population size (Ne) based on the inbreeding rate estimated by regression in all generations was 120 animals whereas Ne estimated by equivalent generations was 69 animals. Effective number of founders (Fe), effective number of ancestors (Fa), and ancestors explaining 50% of variability were 75, 48, and 22, respectively. The relation between Fa/Fe of 64% indicates a genetic bottleneck effect in the population studied.

Hemoparasitic diseases represent a significant problem with a considerable impact on tropical and subtropical areas of the world. These conditions cause economic losses associated with multi-organic failure and even the death of animals. In these areas, the hemoparasites are transmitted in an enzootic cycle when infectious cattle, such as persistently infected animals, including cows, contribute to the success of transmission. However, the factors associated with transmission have always been considered environmental issues, disregarding herd management and practices. In this sense, we conducted a cross-sectional study sampling 360 female cattle older than one year to identify infectious cattle using the PCR technique. We employed a dichotomic questionnaire for association analyses in 150 herds of the southern Andean region of Colombia. Overall prevalence with infectious cattle was 52.5% for Babesia spp., Anaplasma spp., and Trypanosoma spp., and the significant risk factors (p < 0.05) included geographic area, animal weight, purchase of cattle for fattening, disinfection of clothing after contact with neighboring animals, self-medication, separation of animals in pens, supply of mineralized salt, presence of livestock from other owners on the farm, prevention of joint trauma, documented milking routine, and sending blood samples for analysis. These practices permitted the maintenance of persistently infected animals and their movement to shed the agents to other animals in the presence of vectors. This suggests the importance of implementing comprehensive control and training measures to reduce the infectious cattle and, therefore, the profitability of dual-purpose livestock farms in the Andean region of southwestern Colombia.

Approximately 60% of milk production in Colombia comes from dual-purpose (DP) systems, which face limitations in defining racial composition and maintaining production records for genetic resource management in the regions. The objective of this study was to evaluate the phenotypic diversity of cattle in DP systems and generate indicators that link this diversity to productivity, contributing to sustainability in these territories. A total of 2760 animals were phenotypically classified using two criteria associated with Breed Classification (BC) and Apparent Phenotypic Predominance (APP). Linear mixed models including fixed effects of region, covariates of age of cow and days in milk, and animal as random effect, were applied to daily milk records from 2042 cows to estimate the productivity of the breed assignment criteria in the genetic resource management. Most animals (66.92%) were assigned to the Mixed genetic group because its unknown genetic origin. Based on BC the second group comprise individuals classified as Crossbred (10.72%) that exhibit known genetic origin, but their genetic management was hindered by the lack of productive information. Meanwhile, the APP criteria was relevant to describe how either zebuine or taurine breed predominance influenced the daily milk production (3.52 ± 0.76 to 5.8 ± 0.14 kg, respectively) of individuals according to the environmental offerings in the regions. When assessing the impact of phenotypic selection processes in females based on a 1 kg increase in daily milk production could raise the population’s average daily productivity by 0.49 kg. However, this approach poses a risk to the inventory of Mixed animals, which have been used as a genetic resource adapted to the region for several decades.