Pampean Region Research Articles

An evaluation of soil carbon models and their role on finding ways to net-zero carbon in agricultural systems

The estimation of changes in soil organic carbon (SOC) is a key issue for national green-house gasses (GHG) inventories, climate change mitigation programs and the estimation of carbon footprint of farm products in life cycle assessments. Any strategy related to net-zero carbon in agricultural systems needs to quantify the SOC balance. In this way, SOC models help decision makers involved in agriculture to understand the dynamics of the SOC and the interaction between all variables related to soil, climate, land use, and management, to design the best solution to reduce emissions or enable carbon sequestration. Likewise, it is important to identify suitable models for the region. This study aims to address three main subjects: a) a discussion on the importance of SOC estimation for GHG inventories and the carbon footprint of crops, using the Intergovernmental Panel on Climate Change (IPCC) Tier 1 method and AMG model; b) an evaluation and brief description of the IPCC “Steady State Method” (SSM), using experimental data from two sites in Argentina, comparing these results to AMG and RothC models (both previously validated at those sites); and c) a brief discussion about the potential use of SOC models for what-if management scenarios, their real limitations and future research needs. The three models were consistent in predicting the impact of tillage and the long-term trends in changes in SOC stocks under different management practices. The SSM model was evaluated for the first time in Argentina and performed even better than the other two models. It was consistent with the observed values, when predicting the effect of tillage system under different crop rotations, including pasture systems. Regarding efficiencies of the models, they showed acceptable Nash-Sutcliffe Efficiency (NSE) values, and the root mean square error (RMSE) was also acceptable between 3 % and 7 %, within a range of 4–5 Mg C.ha−1. Therefore, the SSM model proved to be a valuable tool to estimate SOC trends for crop and pasture rotations under different management scenarios (i.e., tillage systems and fertilization), to identify best practices that allow for a zero or positive SOC balance, in two different soil and climate conditions of the Pampean Region of Argentina. In our study, the SSM did have a better fit to the data and, furthermore, this Tier 2 method is simpler than the Tier 3 models, and, therefore, is advantageous for conducting regional assessments and GHG inventories.

Analysis of phytolith inputs from natural plant communities and crops and soil silicon availability (Southeastern Pampean region, Argentina)

Analysis of phytolith inputs from natural plant communities and crops and soil silicon availability (Southeastern Pampean region, Argentina)

Enhanced seed yield of full-season soybean when rotated with cereals and cover crops as compared to monoculture in a long-term experiment

Soybeans are of great importance to the global economy, but the cultivation as monoculture has shown several negative environmental implications in the long-term. Long-term studies demonstrate the cumulative effects of rotations on soil variables, but few studies have considered changes during consecutive years in a time series of soybean as a monoculture. The inclusion of cereals and cover crops in rotation with soybean increases the intensification sequence index (ISI, time with crops actively growing during the year) and increases in soybean yield are expected. In line with this, some studies suggest that only including a winter cover crop will increase ISI and raise production. However, these comparisons have not been made in the long term. The objectives of this work were to: i) compare the evolution of full-season soybean yield and production when sowed as monoculture and in cropping sequences that include cereal crops and cover crops, and ii) quantify a yield gap in full-season soybean due to monoculture by evaluating the long-term residual effect of crop sequences with different land occupation. Soybean yield time series in a 14-years period in rotation or as monoculture were studied in a long-term field experiment under no-tillage established in 2006 in the Northern Pampas region of Argentina. Rotations consisted in sequences that included soybean (S), maize (M) and wheat (W), and also incorporated wheat as a winter cover crop (CC): S-S, CC/S-CC/S, S-W/S-M, CC/S-W/S-M, M-W/S, and CC/M-W/S, with ISI values of 0.39, 0.69, 0.55, 0.64, 0.65 and 0.80, respectively. In 2021/22 season, full-season soybean was planted in all plots as a "test" crop, to evaluate the long-term residual effect of sequences with different intensification indexes. Seed yield averaged 3249 kg ha−1 among years. During the 14 years under study, seed yield in S-W/S-M surpassed S-S by 28 % in 6 out of 14 years. The differences between S-S with respect to this sequence were observed consistently from the ninth crop season (i.e. since 2017/18). The inclusion of a cover crop within a soybean monoculture (i.e. CC/S-CC/S) showed similar seed yields as in S-S in 11 out of 14 years. The analysis of the test crop showed yield-gaps when soybeans were grown as monoculture (seed yield in rotations minus seed yield in S-S) of 9, 20, 27, 21 and 31 % for CC/S-CC/S, S-W/S-M, CC/S-W/S-M, M-W/S and CC/M-W/S, respectively. In summary, soybean in rotation with cereals showed an average increase of ca. 346 kg ha−1 and including a cover crop within a soybean monoculture did not increase seed yield at the levels observed when rotated with cereals. Finally, when estimating seed yield-gaps in soybean, it is important to set in which rotation soybean is placed, since a higher maximum yield is expected to happen when soybean follows a more intensified rotation.

New Cingulata (Mammalia, Xenarthra) from the late Neogene Palo Pintado Formation (Northwestern Argentina)

Cingulata (Early Eocene-Recent) is a very well-diversified clade that reached a high diversity during the early Neogene. In southern South America, there is an evident imbalance in our knowledge of the Neogene diversity along the Northwestern region of Argentina (NWA) compared to the Pampean region (PR), despite the importance of NWA to understanding the hypothetical evolutionary scenarios of several clades. The Palo Pintado Formation (ca. 10–5 Ma) is one of the richest units in NWA, involving both the global warming of the Tortonian (ca. 11.6–7.25 Ma) and the global cooling event of the Messinian (ca. 7.25–5.33), coeval with the widespread of the C4 plants. Despite this, Cingulata from this Formation are still poorly known. Interdisciplinary fieldwork at Calchaqui Valley (Angastaco Basin) yielded several new remains, including Chlamyphoridae Euphractinae Proeuphractus limpidus, Chorobates villossisimus and Prozaedyus sp.; Dasypodidae Dasypus sp.; Pampatheriidae Kraglievichia paranensis; and Glyptodontidae Cranithlastus xibiensis. The “armadillos” P. limpidus, Prozaedyus sp., and Dasypus sp. increase the previously known diversity. The record of Dasypus sp. reinforces recent hypotheses extending the biochron of the genus to the Late Miocene in NWA. The recognized taxonomic diversity of glyptodonts, limited to one species, contrasts with that known from other coeval formations placed both in the south (Andalhuala and Corral Quemado formations, Catamarca Province) and the north (Maimará and Tafna formations, Jujuy Province), revealing a complex biogeographic scenario for this clade during this period. The analyzed deposits are interpreted as accumulated within the channel and formed during episodes of large discharges of water and sediment mostly under a warm subtropical climate, tough there is an aridization recorded at ca. 6 Ma, which is probably related to the increase in the taxonomic diversification of Cingulata along the stratigraphic sequence.

Agroecological farmer perceptions and opinions towards pest management and biodiversity in the Argentine Pampa region

ABSTRACT Agroecology has recently become an alternative production model that tries to face the negative environmental and socioeconomic consequences of the agricultural model based on excessive agrochemical use and no-tillage practices. It searches for alternatives to pest management so as to increase yields while promoting biodiversity conservation. Our goal was to know the perception and opinion of agroecological farmers of the Pampa region on crop pests, the techniques they use for pest management and their perceptions on biodiversity. A survey was conducted which provided 103 responses. The main pest mentioned was ants. Of farmers surveyed, 64.71% claim that their main pest significantly reduces their yields, 79.42% claim that they monitor their crops for pests, although those with over 25 years of experience tend not to. Farmers have a mostly positive perception of biodiversity, particularly birds even though many identify pigeons and parrots as damaging. These results make it possible to describe the agroecological Pampa farmers and to show some common pest issues that need to be observed to benefit production in the area. The study highlights the importance of biodiversity for these farmers and their willingness to use tools that attract birds that could potentially manage pests.

Compound Hot and Dry Events in Argentina and Their Connection to El Niño‐Southern Oscillation

ABSTRACTThis work studies the simultaneous and sequential occurrence of hot and dry months in the summer season in Argentina, north of 40°S, based on three different databases: meteorological stations, a gridded observational dataset and a reanalysis product. The influence of the El Niño‐Southern Oscillation (ENSO) over the occurrence of these compound events is specially analysed using a logistic regression model. Monthly maximum temperature and precipitation data are used for the period 1979–2022 in four sub‐regions of Argentina: Northwestern Argentina (NOA), Northeastern Argentina (NEA), Cuyo (central‐western Argentina) and the Pampas (central‐eastern Argentina). Simultaneous hot and dry months and hot months preceded by dry months are the most frequent compound events. The highest frequencies are found in the centre part of the study region and NEA for simultaneous compound events, and in NOA and the Pampas region for sequential ones. In general terms, all datasets show a good representation of the spatio‐temporal variability of hot and dry months. The insights of the influence of ENSO on compound events revealed that La Niña enhances the occurrences of hot and dry months throughout the study region, with the exception of NOA, where El Niño conditions promote the occurrence of these events. Based on logistic regression models, we successfully quantify the relationship between ENSO and hot and dry months and demonstrate that ENSO plays a significant role as a driver of compound hot and dry events in the central region, Cuyo, NEA and a portion of the Pampas. This research contributes to the understanding of compound events in Argentina and how they are influenced by major drivers of climate variability providing useful information for the development of a predictive system for such events.

Biomass inputs drive agronomic management impacts on soil health

Numerous conservation and regeneration practices are recognized as effective strategies in the management of soil health (SH), a critical factor for ensuring the sustainability of food production systems. Despite their acknowledged importance, the multifaceted impacts of these practices often lead to confounding effects, and reliance on generic categorization of agronomic practices often falls short in portraying the drivers of SH. We advocate for a paradigm shift from a label-centric approach to one rooted in processes. Our study underscores the pivotal role of aboveground biomass cycling as an indicator for assessing the potential of agronomic management practices to instigate shifts in carbon balances, and, consequently SH. Drawing on soil physical, biological, and chemical SH data from three Uruguayan long-term experiments on Pampas region Mollisols we (i) present quantitative evidence of the importance of evaluating SH through biomass inputs, and (ii) illustrate the applicability of the proposed framework for evaluating different scenarios of land management for the region. Management-induced variations in aboveground biomass inputs accounted for 50 % of the observed changes in a composite soil's physical and biological SH index and helped explain the inconsistent effect of management practices. Raising the SH Index by ten points required an increase in biomass inputs of over 50 Mg ha⁻¹. Based on this concept, substantial enhancements in SH can be made by narrowing yield gaps and intensifying cropping sequences over many years. The benefits of practices such as increased crop diversification, integration of perennial and cover crops, or reduced tillage in promoting SH depend in part on their ability to augment biomass production. This nuanced understanding underscores the importance of aligning agronomic strategies with the fundamental processes driving SH dynamics.

Temporal variability of spatial patterns of correlations between summer rainfall and the Oceanic Niño Index in the Pampean region

The Argentinean Pampean region is essential for global food security, known for its extensive production of soybeans, corn, and wheat. The November to January (NDJ) trimester is critical for rainfed summer crops, as precipitation during this period directly affects soil moisture and crop yields. The El Niño-Southern Oscillation (ENSO), particularly its Oceanic Niño Index (ONI), plays a crucial role in influencing precipitation patterns in this region. This study investigates the spatial correlation between the ONI and NDJ precipitation from 1990 to 2021 sing a 20-year sliding window approach. We conducted Pearson correlation and cluster analyses to identify regions with consistent ONI-precipitation relationships. Our findings reveal notable temporal variability, with a general decrease in correlation strength since the window 1995–2014. This decline is likely driven by changes in ENSO dynamics and the influence of other climate variability modes, highlighting the need to consider factors modulating the ONI-precipitation relationship. Notably, the addition of the strong 2015 El Niño, which exhibited inconsistent precipitation behaviour compared to previous strong El Niño events such as 1997, contributed to this weakening. While the 1997 El Niño brought widespread positive rainfall anomalies, the 2015 event was marked by weaker and even negative precipitation anomalies in part of the region. This difference mirrors similar patterns reported in other parts of South America, such as Ecuador and Coastal Peru, and may be linked to a poleward shift in the jet streams during the 2015/2016 El Niño. The results underscore the complexity of ENSO's impact on regional climate and highlight the need for adaptive agricultural planning. By enhancing the understanding of ONI-precipitation dynamics, this study aims to improve long-term climate predictions and support sustainable agricultural practices in the Pampean region.

Predicting land use and environmental dynamics in Argentina's Pampas region: An agent-based modeling approach across varied price and climatic scenarios.

This study, employing the AGRODEVS Agent-Based Model (ABM), systematically examined land use dynamics in Argentina's Pampas Region. Simulations under diverse scenarios highlighted the significant role of economic determinants, particularly crop price relationships, in influencing maize or wheat/soybean double cropping prevalence. Maize-dominated landscapes consistently achieved carbon sequestration goals, while wheat/soybean landscapes faced challenges, notably in ecotoxicity. Scenarios encompassed varying climatic conditions and soybean/maize price ratios, providing insights into the interplay shaping agricultural land use decisions among individual agents. The AGRODEVS model's robust performance underscored its effectiveness in integrating economic and environmental factors, contributing to a practical understanding of sustainable land use planning complexities.

Bird metacommunities of urban parks in the pampean region, Argentina

Metacommunities are the set of local communities that are linked by the dispersion of potentially interacting species. The study of metacommunities is important to elucidate the relationship between processes that occur at different spatial scales. However, bird metacommunities in urban parks have been little studied. The objectives of this study were: 1) to analyze the relative role of species dispersal, environmental selection, and stochastic processes shaping urban bird metacommunities; and 2) to analyze the structure of the metacommunities of birds in urban parks. Bird surveys were made in 51 parks of six cities in Buenos Aires province, Argentina. To obtain the metacommunity structure, three elements were analyzed: coherence, turnover, and boundary clumping. We found that the metacommunity conforms to a clementsian structure, in which groups of species respond in a similar way to environmental gradients. The environmental and connectivity variables explained a greater proportion of the variance than the spatial variable. The composition of species was related to the location of the cities, the distance to the rural area, the distance to the urban center, the number of cars passing near parks, and habitat diversity. Due to the clementsian structure of metacommunities, they probably were structured under a species sorting and mass effect process. The number of cars and habitat diversity in the parks would be acting as environmental filters for bird species, while the distance to rural areas and the distance to the urban center would affect species dispersal to the parks. These findings emphasize the importance of maintaining and improving park connectivity and habitat diversity for bird species, managing them as cities grow.

Grasshopper (Orthoptera: Acridoidea) diversity in the Pampas region of Argentina: status as revealed by long-term sampling

Grasshopper (Orthoptera: Acridoidea) diversity in the Pampas region of Argentina: status as revealed by long-term sampling

Farmers’ perceptions of wildlife in agroecosystems: Insights from a highly modified area of the Pampas region, Argentina

People’s perceptions of wildlife are influenced by various factors. Studying these factors is a valuable tool to help conserve agro-biodiversity. The objective of this study was to analyze farmers’ perception of birds and mammals in a highly modified area of the Pampas region in Argentina, and to understand the factors that influence their decisions to apply methods that promote or control wildlife. An online survey was conducted to examine farmers’ perception of different animal groups, considering their economic activities and the factors influencing their decision to favor or control certain species. We received 65 responses, which revealed a negative perception toward two groups of birds and five groups of mammals, a neutral perception for one group of birds and four groups of mammals, and a positive for five groups of birds. Preserving natural vegetation along roadsides and field margins was the primary method to promote birds while reducing agrochemical use to promote mammals. Shooting was the main method employed to control all animals. The farmers’ positive perception, their main economic activity, and whether they resided on the farm significantly influenced their decisions to implement methods to promote species. The farmers’ negative perception, their main economic activity, their residence on the rural property, and their age affected their decisions to implement methods for controlling species. Understanding farmers’ perceptions and the drivers behind their decisions to promote or control species represent the initial step toward achieving sustainable management of agroecosystems.

Phomopsis Head Rot caused by Diaporthe helianthi: A New Disease on Sunflower in Argentina

ABSTRACTDuring a survey conducted in the 2021, 2022 and 2023 seasons, sunflower heads showing symptoms of dry rot were collected from 80 fields in the semi‐arid Pampa region of Argentina. A total of 72% of the fields examined in 2021, 71% in 2022 and 63% in 2023 showed the presence of the disease. The highest incidence was recorded as 70% in 2021. Phomopsis head rot began as dry, brown spots on the back of the head, progressing to necrosis and twisting of adjacent leaves. Infected head tissue samples were surface sterilised, cultured on potato dextrose agar (PDA) and incubated at 25°C for 14 days. Diaporthe helianthi was identified based on cultural and morphological characteristics as well as molecular data. A phylogenetic analysis was performed. Internal transcribed spacer (ITS), translation elongation factor 1‐α (ef1‐α) and β‐tubulin sequences were deposited in GenBank, showing the identity with the ex‐type D. helianthi strain CBS 592.81. Pathogenicity experiments confirmed the presence of similar disease symptoms in inoculated sunflower heads, and D. helianthi was consistently reisolated from these organs. Our Koch's postulates testing results on heads constitute the first confirmed report that D. helianthi is the cause of Phomopsis head rot on sunflower in Argentina.

Seismic forecasting by gapped wavelet transform for the Río de la Plata craton and adjacent continental platform

Historical and instrumental seismicity from 1845 to the present was compiled for the Pampean regions of Argentina and Uruguay and the adjacent continental platform. These data were analyzed using the Gapped Wavelet Transform (GWT) with the aim of investigating recurrence patterns in the time series.The GWT analysis reveals the existence of periods of seismic activity and periods of seismic silence within the considered area. A 22-year period was determined as the main pattern of seismic activity, during which earthquakes are registered only in 11 years. Based on these results, a probabilistic earthquake forecasting model was created using the Bayesian Machine Learning method, which suggests that the current seismically active period spans from 2011 to 2023 ± 1, with a cessation until 2034 ± 1, while the next seismically active period would begin in 2034 ± 2 ending in 2046 ± 2.These periods or recurrence patterns are interpreted as intervals during which stress accumulates throughout intracrustal faults in the studied area, being then released through various events within the established temporal interval. The accumulation and release mechanisms are still a subject of debate. However, the earthquakes distribution suggests a sublatitudinal arrangement that tends to confirm some correspondence with the controlling faulting of the Quilmes Trough and others transtensional regional lineaments.

Biological nitrogen fixation in field pea and vetch: Contribution from above and belowground structures to the partial nitrogen balance

ContextIncluding winter legumes during fallow periods in crop rotations may add nitrogen (N) to the agroecosystem through biological N fixation (BNF). This gain will depend on management practices and whether the crop is planted for grain production or as a cover crop. Despite many studies quantified the partial N balance of different legume crops, very few considered the contribution of BNF from belowground structures, which is necessary for more accurate estimations. ObjectiveTo estimate biomass, N uptake, and BNF in field-grown field pea and vetch, and study the impact of including belowground structures in the partial N balance of both crops. MethodsA two-year field study evaluating two genotypes of field pea (semi-leafless and conventional-leaved) and vetch was performed under field conditions in the Pampean Region (Argentina). Above and belowground biomass (measured in field monoliths to 0.3 m depth), N uptake and 15N abundance were quantified for determining BNF, and the partial N balance. ResultsThe partial N balance of field pea as grain crop was negative in most cases (average −7 kg N ha−1), but, was positive when vetch was evaluated as cover crop (average 51 kg N ha−1). Including belowground components, BNF improved the partial N balance by 1 and 6 kg N ha−1 in field pea and vetch, respectively. In field pea, the proportion of N uptake derived from BNF (%Ndfa) averaged 43 %, and was not affected by genotype or year, whereas for vetch represented 40 and 18 % of total N uptake in 2018 and 2019, respectively. In field pea, belowground BNF averaged 1.2 kg N ha−1, and represented 0.9 % of the total N uptake at maturity. In vetch, belowground BNF averaged 6.3 kg N ha−1 and accounted for 3.8 % of total N uptake at full bloom. ConclusionsBiomass and the proportion of N derived from BNF were not affected by the different genotypes in field pea, while in vetch, the environmental conditions that increased %Ndfa were more important than those that affected biomass production for increasing the partial N balance. ImplicationsAlthough field pea as a grain crop did not provide a consistent N input to the agrosystem, it arises as a convenient crop in terms of N balance compared to other cash crops. Vetch stands as an attractive cover crop, contributing 46–57 kg N ha−1 and 6–9.5 Mg ha −1 of residues to the agrosystem.

Anthropic cut marks in extinct megafauna bones from the Pampean region (Argentina) at the last glacial maximum.

The initial peopling of South America is a topic of intense archaeological debate. Among the most contentious issues remain the nature of the human-megafauna interaction and the possible role of humans, along with climatic change, in the extinction of several megamammal genera at the end of the Pleistocene. In this study, we present the analysis of fossil remains with cutmarks belonging to a specimen of Neosclerocalyptus (Xenarthra, Glyptodontidae), found on the banks of the Reconquista River, northeast of the Pampean region (Argentina), whose AMS 14C dating corresponds to the Last Glacial Maximum (21,090-20,811 cal YBP). Paleoenvironmental reconstructions, stratigraphic descriptions, absolute chronological dating of bone materials, and deposits suggest a relatively rapid burial event of the bone assemblage in a semi-dry climate during a wet season. Quantitative and qualitative analyses of the cut marks, reconstruction of butchering sequences, and assessments of the possible agents involved in the observed bone surface modifications indicate anthropic activities. Our results provide new elements for discussing the earliest peopling of southern South America and specifically for the interaction between humans and local megafauna in the Pampean region during the Last Glacial Maximum.

Soil hydro-physical variables and crop residues determinate runoff, soil loss, and glyphosate and AMPA concentration in the aqueous phase under simulated rainfall events.

Soil structural degradation and water erosion processes were observed even in no-tillage schemes in the Pampas region. Within these conservation systems, agrochemical application per hectare is one of the highest globally. Thus, this entails a serious risk of water contamination. The objectives of this study were to (1) test the hypothesis that the hydrological dynamics and sediment concentration related to surface runoff were conditioned by soil structure regardless of the presence of maize (Zea mays L.) crop residue and (2) assess the incidence of maize crop residue on glyphosate and aminomethylphosphonic acid (AMPA) concentration in runoff. The soil under study corresponded to Arroyo Dulce Series (Typic Argiudoll silty loam soil). Rain simulations were performed in the laboratory on undisturbed soil samples. Total runoff and infiltration rate were similar between treatments with C(+) and without C(-) maize crop residues (C(+) 1381.40mL and 14.27mm h-1, C(-): 1529.70mL and 21.67mm h-1). The C(-) treatments showed a higher sediment concentration than C(+) (1.58 and 0.42g 100mL-1, respectively). Glyphosate and AMPA average values in runoff were 15.9 and 33.9µg L-1. High variability of the hydro-physical properties and occurrence of soil structure, particularly platy ones, were detected. The hydrological variables were conditioned mainly by the occurrence of platy structures regardless of crop residue presence. Glyphosate concentration was increased in the first runoff event by the presence of corn residues, while AMPA concentrations were higher in the second runoff event in both residue treatments. In this study, maize residue on the soil surface protected the soil from sediment detachment but did not change runoff or infiltration. Thus, the implementation of agricultural management practices that promote vegetative residue cover has shown positive results to erosion.

Schoenoplectus californicus (Cyperaceae) amorphous silica contribution to the silicon cycle in pampean shallow lakes: an analysis of spatio-temporal variation and silicon–lignin relations

Context Phytoliths constitute an important source of silicon in terrestrial and aquatic ecosystems. Schoenoplectus californicus (C.A.Mey.) Soják (Cyperaceae) is an important phytolith producer. Aims We investigated the spatio-temporal variation in phytolith content of S. californicus in shallow lakes of the Pampean region, considering biomass and its relation to soil silicon content and lignin content. Methods Calcination techniques were applied to quantify phytoliths. The biomass was estimated by destructive methods. Soil silicon concentration was determined through ultraviolet–visible spectrophotometry by means of the silicomolybdate method. For lignin determination, a fibre analyser and sulfuric acid were used. Key results No significant differences were observed in the spatio-temporal analysis. There were no differences in the biomass estimation and in the phytolith per m2 contribution. Regarding soil silicon content, when the concentration was low, the phytolith production was low. Lignin content remained constant between sites. No correlation was observed between phytolith and lignin content. Conclusions S. californicus is an accumulator of amorphous silica, generating a constant quantity of phytoliths over the years and between sites. The variation in some environmental conditions does not seem to be enough to be reflected in plant silica production. No relation between lignin and silica was found, perhaps due to their different roles in plant structure. Implications The inclusion of other wetlands with more contrasting conditions may reveal the environmental constraints for the amorphous silica production. This study shows the importance of this community as a silicon source, and the implications of its displacement by other communities or urban development.

Assessing salinity and sodicity of irrigated soils using apparent electrical conductivity in the Pampean region

Assessing salinity and sodicity of irrigated soils using apparent electrical conductivity in the Pampean region

Modeling growth curves in Thoroughbred foals raised on pasture in Argentina

Thoroughbred breeding holds significant economic importance on a global scale and Argentina is a prominent participant in this industry. Suboptimal growth of Thoroughbred foals below their genetic potential could have consequences on their athletic ability. But, unlike some livestock, maximal growth in horses is not advantageous, as it can lead to skeletal problems. Therefore, the meticulous monitoring of foal growth is indispensable for effective horse breeding. This longitudinal study examined 18,639 weight records obtained from 2631 foals (0–19 months old) across an 11-year period. The objective of this study was to identify the most suitable models for fitting growth curves of pasture-raised Thoroughbred foals. Seven model was separately fitted to the records using SAS's NLIN procedures. The goodness of fit of the models was based on Akaike's Information Criterion, Mean Square Error and Root Mean Square Error statistics. The study concluded that the Polynomial G3 model best describes the growth patterns of Thoroughbred foals in Pampas region, providing the final equation for predicting the average population weight of these foals based on their age in months: Body weight = 58.8 + 41.65 t − 1.82 t2+ 0.041 t3 (where t is age in months). This model's accuracy was consistent across sex, eliminating the need for separate models based on sex. This equation allows us to estimate the foals' body weight as a function of their age, providing a valuable tool for monitoring their growth and development. These insights have the potential to enhance breeding practices and optimize management strategies within horse production systems in a region renowned for its pasture-based management approach.