Effect of plant density on yield components of common bean grown under inter-Andean Mountain conditions of Ecuador

El fréjol es un cultivo importante debido a su alto valor nutritivo. En los últimos años la producción en Ecuador de este cultivo ha disminuido drásticamente debido entre otros factores a ineficientes procesos y falta de tecnificación en la producción. Entender cómo se generan y determinan los componentes del rendimiento del grano es primordial para diseñar estrategias que permitan aumentar el rendimiento del cultivo. En este estudio, se modificó la densidad de plantas con el objetivo de evaluar su impacto sobre el número de granos, peso de granos y rendimiento, bajo condiciones de campo en una región andina de Ecuador. Se realizaron dos experimentos sembrados en fechas distintas, donde se evaluaron densidades de plantas contrastantes 4 y 11 plantas m-2. El efecto de los tratamientos se estudió sobre la duración del periodo emergencia - antesis, el número de vainas llenas y vanas, el número de granos, el peso seco de 100 granos y el rendimiento de grano. Los resultados indican que la densidad de plantas tiene un efecto significativo (p<0,05) sobre el rendimiento, alcanzando un promedio de 257,15 g m-2 en alta densidad y 151,45 g m-2 en baja densidad. Los componentes principales del rendimiento mostraron una respuesta distinta a la modificación de la densidad de plantas; el número de granos presentó una fuerte variabilidad y fue positivamente asociado con el rendimiento final del grano (p<0,05), mientras que el peso del grano no fue afectado.Common bean is an important crop due to its high nutritional value. However, its production in Ecuador has decreased due to biotic and abiotic factors. Understanding the mechanisms that determine the yield components of this crop is essential to establish strategies that allow increasing the yield. In this study, the plant density was modified to evaluate its impact on yield and its two main components, the grain number and grain weight under field conditions in an Andean region of Ecuador. Two experiments planted on different dates were performed, where two planting densities 4 and 11 plants m-2 were evaluated. The effect of the treatments was studied on the length of the period, from emergence to anthesis, the number of full and empty pods, grain number, 100 grain weight and grain yield. The results indicate that the plant density has a significant effect (p<0.05) on the yield, reaching an average of 257.15 g m-2 in high density, and 151.45 g m-2 in low density. The yield main components showed a different response to plant density modification; the grain number exhibited a strong variability and was positively associated with final grain yield (p<0.05) while the grain weight was not affected.

Efecto de la densidad de plantas sobre los componentes del rendimiento de fréjol cultivado en condiciones de campo en un valle interandino de Ecuador

El fréjol es un cultivo importante debido a su alto valor nutritivo. En los últimos años la producción en Ecuador de este cultivo ha disminuido drásticamente debido entre otros factores a ineficientes procesos y falta de tecnificación en la producción. Entender cómo se generan y determinan los componentes del rendimiento del grano es primordial para diseñar estrategias que permitan aumentar el rendimiento del cultivo. En este estudio, se modificó la densidad de plantas con el objetivo de evaluar su impacto sobre el número de granos, peso de granos y rendimiento, bajo condiciones de campo en una región andina de Ecuador. Se realizaron dos experimentos sembrados en fechas distintas, donde se evaluaron densidades de plantas contrastantes 4 y 11 plantas m-2. El efecto de los tratamientos se estudió sobre la duración del periodo emergencia - antesis, el número de vainas llenas y vanas, el número de granos, el peso seco de 100 granos y el rendimiento de grano. Los resultados indican que la densidad de plantas tiene un efecto significativo (p<0,05) sobre el rendimiento, alcanzando un promedio de 257,15 g m-2 en alta densidad y 151,45 g m-2 en baja densidad. Los componentes principales del rendimiento mostraron una respuesta distinta a la modificación de la densidad de plantas; el número de granos presentó una fuerte variabilidad y fue positivamente asociado con el rendimiento final del grano (p<0,05), mientras que el peso del grano no fue afectado

COVID-19 symptoms at hospital admission vary with age and sex: results from the ISARIC prospective multinational observational study

Background: The ISARIC prospective multinational observational study is the largest cohort of hospitalized patients with COVID-19. We present relationships of age, sex, and nationality to presenting symptoms. Methods: International, prospective observational study of 60 109 hospitalized symptomatic patients with laboratory-confirmed COVID-19 recruited from 43 countries between 30 January and 3 August 2020. Logistic regression was performed to evaluate relationships of age and sex to published COVID-19 case definitions and the most commonly reported symptoms. Results: ‘Typical’ symptoms of fever (69%), cough (68%) and shortness of breath (66%) were the most commonly reported. 92% of patients experienced at least one of these. Prevalence of typical symptoms was greatest in 30- to 60-year-olds (respectively 80, 79, 69%; at least one 95%). They were reported less frequently in children (≤ 18 years: 69, 48, 23; 85%), older adults (≥ 70 years: 61, 62, 65; 90%), and women (66, 66, 64; 90%; vs. men 71, 70, 67; 93%, each P &lt; 0.001). The most common atypical presentations under 60 years of age were nausea and vomiting and abdominal pain, and over 60 years was confusion. Regression models showed significant differences in symptoms with sex, age and country. Interpretation: This international collaboration has allowed us to report reliable symptom data from the largest cohort of patients admitted to hospital with COVID-19. Adults over 60 and children admitted to hospital with COVID-19 are less likely to present with typical symptoms. Nausea and vomiting are common atypical presentations under 30 years. Confusion is a frequent atypical presentation of COVID-19 in adults over 60 years. Women are less likely to experience typical symptoms than men

Organogénesis in vitro en Sophora toromiro a partir de segmentos nodales en Sophora toromiro

Sophora toromiro is an arboreal endemic to Chile and extinct in its natural state, this specie has problem for its conservation due to its difficult propagation. The present study aimed to determine the organogenic response of Sophora toromiro nodal explants under in vitro conditions using different culture media and plant growth regulators. Nodal segments were used as explants, and responded satisfactorily to shoots induction when they were grown in MS or WPM medium with addition of 6-benzyl amino purine (BAP), α-naphthaleneacetic acid (NAA), indole 3-butyric acid (IBA) or indole-3-acetic acid (IAA). The highest shoots number (3.5 shoots / explant) was achieved when the explants grew in WPM medium + 0.1 mg l-1 IBA. For roots induction, the explants were transferred to new culture medium, where the highest rooting percentage (42.1 %) was achieved by explants cultivating in MS medium + 0.5 mg l-1 NAA. This study provides new information for S. toromiro propagation and conservation.Sophora toromiro es un arbusto endémico de Chile y extinto en su estado natural, esta especie tiene problemas para su conservación debido a su difícil propagación. El presente trabajo tuvo como objetivo determinar la respuesta organogénica de explantes nodales de Sophora toromiro bajo condiciones in vitro usando diferentes medios de cultivo y reguladores de crecimiento vegetal. Se utilizaron segmentos nodales como explantes, los cuales, respondieron satisfactoriamente a la inducción de brotes cuando se cultivaron en medio MS o WPM solo o con la adición 6-N-Bencilaminopurina (BAP), ácido α-naftalenacético (ANA), ácido indol-3-butírico (AIB) o ácido indol-3-acético (AIA). El mayor número de brotes (3.5 brotes/explante) se logró cuando los explantes crecieron en medio WPM + 0.1 mg l-1 de AIB. Para la inducción de raíces, los explantes fueron transferidos a un nuevo medio de cultivo, donde el mayor porcentaje de enraizamiento (42%) fue conseguido al cultivar los explantes en medio MS con 0.5 mg l-1 de ANA. Este estudio proporciona nuevos antecedentes para la propagación y conservación de S. toromiro

Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study

Background: Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and risk factors for failing non-invasive respiratory support in patients treated with severe COVID-19 during the first two years of the pandemic in high-income countries (HICs) and low middle-income countries (LMICs). Methods: This is a multinational, multicentre, prospective cohort study embedded in the ISARIC-WHO COVID-19 Clinical Characterisation Protocol. Patients with laboratory-confirmed SARS-CoV-2 infection who required hospital admission were recruited prospectively. Patients treated with HFNC, NIV, or IMV within the first 24 h of hospital admission were included in this study. Descriptive statistics, random forest, and logistic regression analyses were used to describe clinical characteristics and compare clinical outcomes among patients treated with the different types of advanced respiratory support. Results: A total of 66,565 patients were included in this study. Overall, 82.6% of patients were treated in HIC, and 40.6% were admitted to the hospital during the first pandemic wave. During the first 24 h after hospital admission, patients in HICs were more frequently treated with HFNC (48.0%), followed by NIV (38.6%) and IMV (13.4%). In contrast, patients admitted in lower- and middle-income countries (LMICs) were less frequently treated with HFNC (16.1%) and the majority received IMV (59.1%). The failure rate of non-invasive respiratory support (i.e. HFNC or NIV) was 15.5%, of which 71.2% were from HIC and 28.8% from LMIC. The variables most strongly associated with non-invasive ventilation failure, defined as progression to IMV, were high leukocyte counts at hospital admission (OR [95%CI]; 5.86 [4.83-7.10]), treatment in an LMIC (OR [95%CI]; 2.04 [1.97-2.11]), and tachypnoea at hospital admission (OR [95%CI]; 1.16 [1.14-1.18]). Patients who failed HFNC/NIV had a higher 28-day fatality ratio (OR [95%CI]; 1.27 [1.25-1.30]). Conclusions: In the present international cohort, the most frequently used advanced respiratory support was the HFNC. However, IMV was used more often in LMIC. Higher leucocyte count, tachypnoea, and treatment in LMIC were risk factors for HFNC/NIV failure. HFNC/NIV failure was related to worse clinical outcomes, such as 28-day mortality. Trial registration This is a prospective observational study; therefore, no health care interventions were applied to participants, and trial registration is not applicable

Respiratory support in patients with severe COVID-19 in the International Severe Acute Respiratory and Emerging Infection (ISARIC) COVID-19 study: a prospective, multinational, observational study

Background: Up to 30% of hospitalised patients with COVID-19 require advanced respiratory support, including high-flow nasal cannulas (HFNC), non-invasive mechanical ventilation (NIV), or invasive mechanical ventilation (IMV). We aimed to describe the clinical characteristics, outcomes and risk factors for failing non-invasive respiratory support in patients treated with severe COVID-19 during the first two years of the pandemic in high-income countries (HICs) and low middle-income countries (LMICs). Methods: This is a multinational, multicentre, prospective cohort study embedded in the ISARIC-WHO COVID-19 Clinical Characterisation Protocol. Patients with laboratory-confirmed SARS-CoV-2 infection who required hospital admission were recruited prospectively. Patients treated with HFNC, NIV, or IMV within the first 24 h of hospital admission were included in this study. Descriptive statistics, random forest, and logistic regression analyses were used to describe clinical characteristics and compare clinical outcomes among patients treated with the different types of advanced respiratory support. Results: A total of 66,565 patients were included in this study. Overall, 82.6% of patients were treated in HIC, and 40.6% were admitted to the hospital during the first pandemic wave. During the first 24 h after hospital admission, patients in HICs were more frequently treated with HFNC (48.0%), followed by NIV (38.6%) and IMV (13.4%). In contrast, patients admitted in lower- and middle-income countries (LMICs) were less frequently treated with HFNC (16.1%) and the majority received IMV (59.1%). The failure rate of non-invasive respiratory support (i.e. HFNC or NIV) was 15.5%, of which 71.2% were from HIC and 28.8% from LMIC. The variables most strongly associated with non-invasive ventilation failure, defined as progression to IMV, were high leukocyte counts at hospital admission (OR [95%CI]; 5.86 [4.83–7.10]), treatment in an LMIC (OR [95%CI]; 2.04 [1.97–2.11]), and tachypnoea at hospital admission (OR [95%CI]; 1.16 [1.14–1.18]). Patients who failed HFNC/NIV had a higher 28-day fatality ratio (OR [95%CI]; 1.27 [1.25–1.30]). Conclusions: In the present international cohort, the most frequently used advanced respiratory support was the HFNC. However, IMV was used more often in LMIC. Higher leucocyte count, tachypnoea, and treatment in LMIC were risk factors for HFNC/NIV failure. HFNC/NIV failure was related to worse clinical outcomes, such as 28-day mortality. Trial registration This is a prospective observational study; therefore, no health care interventions were applied to participants, and trial registration is not applicable

Characteristics and outcomes of an international cohort of 600 000 hospitalized patients with COVID-19

Background: We describe demographic features, treatments and clinical outcomes in the International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) COVID-19 cohort, one of the world's largest international, standardized data sets concerning hospitalized patients. Methods: The data set analysed includes COVID-19 patients hospitalized between January 2020 and January 2022 in 52 countries. We investigated how symptoms on admission, co-morbidities, risk factors and treatments varied by age, sex and other characteristics. We used Cox regression models to investigate associations between demographics, symptoms, co-morbidities and other factors with risk of death, admission to an intensive care unit (ICU) and invasive mechanical ventilation (IMV). Results: Data were available for 689 572 patients with laboratory-confirmed (91.1%) or clinically diagnosed (8.9%) SARS-CoV-2 infection from 52 countries. Age [adjusted hazard ratio per 10 years 1.49 (95% CI 1.48, 1.49)] and male sex [1.23 (1.21, 1.24)] were associated with a higher risk of death. Rates of admission to an ICU and use of IMV increased with age up to age 60&nbsp;years then dropped. Symptoms, co-morbidities and treatments varied by age and had varied associations with clinical outcomes. The case-fatality ratio varied by country partly due to differences in the clinical characteristics of recruited patients and was on average 21.5%. Conclusions: Age was the strongest determinant of risk of death, with a ∼30-fold difference between the oldest and youngest groups; each of the co-morbidities included was associated with up to an almost 2-fold increase in risk. Smoking and obesity were also associated with a higher risk of death.&nbsp;The size of our international database and the standardized data collection method make this study a comprehensive international description of COVID-19 clinical features. Our findings may inform strategies that involve prioritization of patients hospitalized with COVID-19 who have a higher risk of death

ISARIC-COVID-19 dataset: A Prospective, Standardized, Global Dataset of Patients Hospitalized with COVID-19

The International Severe Acute Respiratory and Emerging Infection Consortium (ISARIC) COVID-19 dataset is one of the largest international databases of prospectively collected clinical data on people hospitalized with COVID-19. This dataset was compiled during the COVID-19 pandemic by a network of hospitals that collect data using the ISARIC-World Health Organization Clinical Characterization Protocol and data tools. The database includes data from more than 705,000 patients, collected in more than 60 countries and 1,500 centres worldwide. Patient data are available from acute hospital admissions with COVID-19 and outpatient follow-ups. The data include signs and symptoms, pre-existing comorbidities, vital signs, chronic and acute treatments, complications, dates of hospitalization and discharge, mortality, viral strains, vaccination status, and other data. Here, we present the dataset characteristics, explain its architecture and how to gain access, and provide tools to facilitate its use