ABSTRACT. In recent years, several efforts have been made to develop tomato cultivars displaying both late blight resistance and good organoleptic fruit quality. Selection indexes are considered the best option to perform genotype selection when many different traits are being considered to select genotypes as close to the desired ideotype as possible. Therefore, this study aimed at selecting late blight-resistant tomato families based on their fruit quality attributes using factor analysis and ideotype-design / best linear unbiased predictor (FAI-BLUP) index. For this purpose, we assessed the fruit quality parameters of 81 F3:5 tomato families previously selected as late blight resistant. The tomato cultivars Thaise, Argos, and Liberty were included in the trial as checks. The experimental arrangement consisted of complete randomized blocks with three replicates. Each plot was formed by five plants, three of which were used in the fruit quality assessment. The quality parameters assessed were fruit diameter, fruit length, fruit color (L, a*, C, and H), fruit firmness, titratable acidity, soluble solids content, hydrogen potential, and SS:TA ratio. Fruit quality data were analyzed using the mixed model methodology via REML/BLUP (restricted residual maximum likelihood / best linear unbiased prediction) to obtain BLUPs that were further subjected to the FAI-BLUP selection index. The FAI-BLUP was efficient in selecting late blight-resistant tomato genotypes based on their fruit quality attributes. Fourteen tomato families were classified as closest to the desirable ideotype for fruit quality. These genotypes should move on to the following stages of the tomato breeding program. ABSTRACT years possible Therefore blightresistant resistant ideotypedesign design FAIBLUP FAI BLUP (FAI-BLUP index purpose 8 F35 F F3 5 F3: Thaise Argos checks replicates plants assessment diameter length L, L (L a a* C H, H , H) firmness acidity content potential SSTA SS TA ratio REMLBLUP REML restricted prediction program

Abstract Background: Exogenous enzyme supplementation is an effective and cost-saving mechanism for increasing the availability of dietary nutrients by increasing digestion and reducing excretion. Objective: To evaluate the effects of phytase supplementation on performance, egg quality, and economic parameters in commercial laying hens fed reduced-nutrient diets from 70 weeks of age. Methods: Novogen White® commercial laying hens (n=256) were randomly allocated to four treatment groups, with eight replicates of eight hens in each group: PC (positive control): conventional diet not supplemented with phytase; diet with reduced levels (RN) of P (-0.12%), Ca (-0.10%), and ME (-14 kcal/kg), and supplemented with 300 phytase units (FTU/kg; RN300FTU); diet with reduced levels of P (-0.16%), Ca (-0.13%), ME (-18 kcal/kg), CP (-8%), synthetic amino acids (-0.01%), and supplemented with 600 FTU phytase/kg (RN600FTU); and diet with reduced levels of P (-0.18% P), Ca (-0.15%), ME (-20 kcal/kg), CP (-20%), synthetic amino acids (-0.01%), and supplemented with 900 FTU phytase/kg (RN900FTU). Results: The layers fed the RN300FTU diet had 2.68% higher egg production than those fed the PC diet. Egg mass produced by PC- and RN300FTU-fed hens was statistically similar. Eggshell thickness was increased in PC-fed hens. Feed cost for the RN900FTU diet was approximately 9% lower compared with that of the PC diet. Conclusion: The best performance and economic results were achieved when layers were fed a reduced-nutrient diet supplemented with 300 FTU phytase.

Resumen Antecedentes: La suplementación con enzimas exógenas es un mecanismo eficaz y económico para aumentar la disponibilidad de nutrientes dietéticos al aumentar la digestión y reducir la excreción. Objetivo: Evaluar los efectos de una dieta con reducción de nutrientes y suplementada con niveles incrementales de fitasa en ponedoras a partir de las 70 semanas de edad sobre su desempeño, calidad del huevo y parámetros económicos. Métodos: Un total de 256 ponedoras Novogen White® se asignaron al azar a cuatro grupos de tratamiento, con ocho réplicas de ocho gallinas en cada unidad experimental: Control positivo (PC) dieta convencional sin fitasa; dieta con niveles reducidos (RN) de P (-0,12%), Ca (-0,10%) y ME (-14 kcal/kg) y suplementada con fitasa (300 FTU/kg: NR300FTU); dieta con NR de P (-0,16%), Ca (-0,13%), ME (-18 kcal/kg), PB (-18%), aminoácidos sintéticos (-0,01%) y suplementada con fitasa (600 FTU/kg: NR600FTU); y dieta con RN de P (-0,18%), Ca (-0,15%), ME (-20 kcal/kg), PB (-20%), aminoácidos sintéticos (-0,01%) y suplementada con fitasa (900 FTU/kg: RN900FTU). Resultados: Las ponedoras alimentadas con RN300FTU presentaron una producción de huevos 2,68% mayor al PC. La masa de huevos producida por gallinas alimentadas con PC y RN300FTU fue estadísticamente semejante. El grosor de cáscara del huevo fue mayor para las gallinas alimentadas con dieta basal. El costo de alimentación de la dieta RN900FTU fue aproximadamente 9% menor que la dieta basal. Conclusión: Las ponedoras alimentadas con la dieta RN300FTU presentaron los mejores resultados económicos y zootécnicos.

Resumo Antecedentes: A suplementação de enzimas exógenas é um mecanismo eficaz e econômico para aumentar a disponibilidade de nutrientes da dieta, aumentando a digestão e reduzindo a excreção. Objetivo: Avaliar os efeitos das dietas com redução de nutrientes suplementadas com fitasse a galinhas poedeiras comerciais a partir das 70 semanas de idade sobre desempenho, qualidade dos ovos e parâmetros econômicos. Métodos: Um total de256 poedeiras Novogen White® foram distribuídas aleatoriamente a quatro grupos de tratamento, com oito repetições de oito galinhas em cada unidade experimental: PC (controle positivo): dieta convencional, sem fitasse; dieta com níveis reduzidos (RN) de P (-0,12%), Ca (-0,10%) e ME (-14 kcal/kg) e suplementada com fitasse de 300 FTU/kg (RN300FTU); dieta com níveis reduzidos de P (-0,16%), Ca (-0,13%), ME (-18 kcal/kg), PB (-18%), aminoácidos sintéticos (-0,01%) e suplementados com 600 Fitasse de FTU / kg (RN600FTU); e dieta com níveis reduzidos de P (-0,18% P), Ca (-0,15%), ME (-20 kcal / kg), PB (-20%), aminoácidos sintéticos (-0,01%) e suplementados com fitasse de 900 FTU/kg (RN900FTU). Resultados: As poedeiras alimentadas com NR300FTU apresentaram produção de ovos 2,68% maior do que as com a dieta PC. A massa de ovos produzida por galinhas alimentadas com PC e RN300FTU foi estatisticamente semelhante. A espessura da casca dos ovos foi melhor para galinhas alimentadas com PC. O custo de alimentação da dieta RN900FTU foi aproximadamente 9% menor em comparação com o da dieta de PC. Conclusão: Este estudo mostrou que as poedeiras alimentadas com dieta RN300FTU apresentaram os melhores resultados econômicos e zootécnico.

ABSTRACT Traditional germination tests which assess seed quality are costly and time-consuming, mainly when performed on a large scale. In this study, we assessed the efficiency of X-ray imaging analyses in predicting the physiological quality of tomato seeds. A convolutional neural network (CNN) called mask region convolutional neural network (MaskRCNN) was also tested for its precision in adequately classifying tomato seeds into four seed quality categories. For this purpose, X-ray images were taken of seeds of 49 tomato genotypes (46 Solanum pennellii introgression lines) from two different growing seasons. Four replicates of 25 seeds for each genotype were analyzed. These seeds were further assessed for germination and seedling vigor-related traits in two independent trials. Correlation analysis revealed significant linear association between germination and image-based variables. Most genotypes differed in terms of germination and seed development performance considering the two independent trials, except LA 4046, LA 4043, and LA4047, which showed similar behavior. Our findings point out that seeds with low opacity and percentage of damaged seed tissue and high values for living tissue opacity have greater physiological quality. In short, our work confirms the reliability of X-ray imaging and deep learning methodologies in predicting the physiological quality of tomato seeds. timeconsuming, timeconsuming time consuming, consuming time-consuming scale study Xray X ray CNN (CNN MaskRCNN (MaskRCNN categories purpose 4 46 (4 lines seasons 2 analyzed vigorrelated vigor related trials imagebased image based variables 4046 4043 LA4047 behavior short ( 404 LA404 40 LA40 LA4

ABSTRACT. To be considered drought-tolerant, a tomato cultivar is required to present some level of tolerance at all developmental stages of plant growth. Since drought tolerance is a stage-specific phenomenon, genotype assessment must be performed separately at all developmental stages. In this study, we used a multi-trait index based on factor analysis and genotype-ideotype distance (FAI-BLUP index) to properly rank 49 tomato genotypes according to their tolerance to drought stress conditions at germination and seedling stages. Seeds of 47 introgression lines, which cultivar M82 is considered drought-sensitive, and the Solanum pennellii wild accession LA 716, which is considered drought-tolerant, were subjected to a control condition, where seeds were soaked in distilled water, and a drought condition, where seeds were soaked in a polyethylene glycol (PEG) solution (-0.3 MPa). Drought stress, induced by PEG, had a significant impact on all nine germination and growth performance-related traits; there was a reduction in shoot length (SL), total length (TL), initial germination percentage (IGP), final germination percentage (FGP), germination velocity index (GVI), and germination rate (GR). In contrast, the root-to-shoot ratio (R/S) and time to reach 50% germination (T50) increased under drought stress. Root length (RL) was less affected by drought, and in some genotypes, it was even increased. As expected, LA 716 ranked closest to the drought tolerance ideotype. IL 1-4-18, IL 2-3, IL 1-2, IL 9-2, and IL 10-1 were the most drought-tolerant at the germination stage. These results will serve as guidance for breeders who are aiming at developing drought-resistant tomato cultivars.

Abstract Introduction: To support the development of practices and guidelines that might help to reduce adverse events related to human factors, we aimed to study the response and perception by members of a cardiovascular surgery team of various error-driven or adverse features that might arise in the operating room (OR). Methods: A previously validated Disruptions in Surgery Index (DiSI) questionnaire was completed by individuals working together in a cardiovascular surgical unit. Results were submitted to reliability analysis by calculating the Cronbach’s alpha coefficient. Non-parametric Kruskal-Wallis test and Dunn’s post-test were performed to estimate differences in perceptions of adverse events or outcomes between the groups (surgeons, nurses, anesthesiologists, and technicians). P<0.05 was considered statistically significant. Results: Cronbach’s alpha reliability coefficients showed consistency within the recommended range for all disruption types assessed in DiSI: an individual’s skill (0.85), OR environment (0.88), communication (0.81), situational awareness (0.92), patient-related disruption (0.89), team cohesion (0.83), and organizational disruption (0.83). Nurses (27.4%) demonstrated significantly higher perception of disruptions than surgeons (25.4%), anesthetists (23.3%), and technicians (23.0%) (P=0.005). Study participants were more observant of their colleagues’ disruptive behaviors than their own (P=0.0001). Conclusion: Our results revealed that there is a tendency among participants to hold a positive self-perception position. DiSI appears to be a reliable and useful tool to assess surgical disruptions in cardiovascular OR teams, identifying negative features that might imperil teamwork and safety in the OR. And human factors training interventions are available to develop team skills and improve safety and efficiency in the cardiovascular OR. Introduction errordriven error driven . (OR) Methods (DiSI unit Cronbachs Cronbach s coefficient Nonparametric Non parametric KruskalWallis Kruskal Wallis Dunns Dunn posttest post surgeons, (surgeons nurses anesthesiologists technicians. technicians) P005 P 0 05 P<0.0 significant individual 0.85, 085 0.85 , 85 (0.85) 0.88, 088 0.88 88 (0.88) 0.81, 081 0.81 81 (0.81) 0.92, 092 0.92 92 (0.92) patientrelated patient 0.89, 089 0.89 89 (0.89) 0.83, 083 0.83 83 (0.83) 0.83. 27.4% 274 27 4 (27.4% 25.4%, 254 25.4% 25 (25.4%) 23.3%, 233 23.3% 23 3 (23.3%) 23.0% 230 (23.0% P=0.005. P0005 P=0.005 005 (P=0.005) colleagues P=0.0001. P00001 P=0.0001 0001 (P=0.0001) Conclusion selfperception self position teams (OR P00 P<0. 08 0.8 8 (0.85 (0.88 (0.81 09 0.9 9 (0.92 (0.89 (0.83 27.4 2 (27.4 25.4 (25.4% 23.3 (23.3% 23.0 (23.0 P000 P=0.00 00 (P=0.005 P0000 P=0.000 000 (P=0.0001 P0 P<0 0. (0.8 (0.9 27. (27. 25. (25.4 23. (23.3 (23. P=0.0 (P=0.00 (P=0.000 P< (0. (27 (25. (23 P=0. (P=0.0 (0 (2 (25 P=0 (P=0. ( P= (P=0 (P= (P

BACKGROUND Despite efforts to mitigate the impact of dengue virus (DENV) epidemics, the virus remains a public health problem in tropical and subtropical regions around the world. Most DENV cases in the Americas between January and July 2019 were reported in Brazil. São Paulo State in the southeast of Brazil has reported nearly half of all DENV infections in the country. OBJECTIVES To understand the origin and dynamics of the 2019 DENV outbreak. METHODS Here using portable nanopore sequencing we generated20 new DENV genome sequences from viremic patients with suspected dengue infection residing in two of the most-affected municipalities of São Paulo State, Araraquara and São José do Rio Preto. We conducted a comprehensive phylogenetic analysis with 1,630 global DENV strains to better understand the evolutionary history of the DENV lineages that currently circulate in the region. FINDINGS The new outbreak strains were classified as DENV2 genotype III (American/Asian genotype). Our analysis shows that the 2019 outbreak is the result of a novel DENV lineage that was recently introduced to Brazil from the Caribbean region. Dating phylogeographic analysis suggests that DENV2-III BR-4 was introduced to Brazil in or around early 2014, possibly from the Caribbean region. MAIN CONCLUSIONS Our study describes the early detection of a newly introduced and rapidly-expanding DENV2 virus lineage in Brazil.

Resumo Os modelos de estimativa de área foliar descritos na literatura são inapropriados para folhas tipo lanceoladas, na fase de crescimento vegetativo dependente do broto de sucessão, até os 90 dias de idade. Desta forma, objetivou-se ajustar equações para estimativa de área foliar em bananeiras ‘Prata-Anã’ e ‘BRS Platina’ em plantas com folhas lanceoladas. Foram coletadas 212 folhas do tipo lanceoladas com até 10 cm de comprimento de limbo, de bananeiras ‘Prata-Anã’, e 164 de ‘BRS Platina’, com idade de até 90 dias. Foram mensuradas largura (L), comprimento (C), relação largura-comprimento (RLC) e área foliar (AFescâner), determinada em escâner. Através do procedimento backward no SAEG, ajustaram-se equações de regressão linear múltipla, em função das variáveis L, C e RLC e AFescâner. Para avaliar a qualidade da predição da área foliar calculada através das equações (AFpredita), ajustou-se uma correlação linear de Pearson entre a área AFpredita e AFescâner. Após os ajustes das equações de regressão linear múltipla, obtiveram-se modelos que demonstraram alto coeficiente de correlação com AFescâner, a 1% de significância. Os modelos ajustados para a determinação da área foliar de bananeiras jovens, com folhas lanceoladas, são: AFFL(Prata-Anã) = -,0133624 + 0,000489859**C - 0,00183182 **L e AFFL(Platina) 0,00237026 + 0,004781**L - 0,096802** RLC.

Abstract Models for estimating leaf area of bananas found in the literature are not suitable for lanceolate type leaves occurring at the vegetative stage of ratoon suckers dependent of mother plant. The objective was to determine equations for estimating the leaf area of ‘Prata-Anã’ and ‘BRS Platina’ banana plants with lanceolate type leaves. 212 and 164 lanceolate type leaves having 10 cm-wide lamina or less were collected from ‘Prata-Anã’ and ‘BRS Platina’ banana plants of 90 days of age or less, respectively. Width (W), length (L), width/length ratio (WLR), and scanner-measured leaf area (LAscanner) were determined. Using the backward elimination procedure, simple and multiple linear regression equations were fitted to the relationship between leaf dimensions (W, L and WLR) and LAscanner. To evaluate how precise the equations are in predicting leaf area (LApredicted), Pearson correlation coefficients were calculated between LA and LApredictedscanner. The models highly correlated with LAscanner at 1% of significance level. The models are and LALL() = Prata-Anã = - 0,0133624 + 0,000489859**L - 0,00183182 **W and LALL(Platina) 0,00237026 + 0,004781**W - 0,096802** WLR.