scholarly journals Tomato Landraces Are Competitive with Commercial Varieties in Terms of Tolerance to Plant Pathogens—A Case Study of Hungarian Gene Bank Accessions on Organic Farms

Diversity ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 195
Author(s):  
Krisztina Boziné-Pullai ◽  
László Csambalik ◽  
Dóra Drexler ◽  
Dániel Reiter ◽  
Ferenc Tóth ◽  
...  
Keyword(s):  
Late Blight ◽  
Open Field ◽  
Early Blight ◽  
Plant Pathogens ◽  
Organic Production ◽  
Gene Bank ◽  
Management Systems ◽  
Significant Difference ◽  
Tomato Gene ◽  
On Farm

Landraces are generally neglected by industrialized agriculture, regardless of their potential to provide valuable genetic material for breeding and to diversifying the available assortment for producers and markets. They may also excel in certain plant protection issues with possible resistance or tolerance to plant pathogens. This is the first report on the disease susceptibility traits of Hungarian on certain indeterminate and determinate tomato gene bank accessions under on-farm organic conditions. For this, a three-year on-farm experiment was conducted in two management systems, open-field and protected. Yield and disease symptoms data obtained from ten tomato landraces were compared to commercial varieties. The incidence and severity of three important diseases (caused by late blight ‘Phytophthora infestans’, early blight ‘Alternaria solani’ and Septoria leafspot ‘Septoria lycopersici’), as well as yield, were recorded and assessed. According to these results, there were no significant difference between landraces and control varieties (San Marzano, Kecskeméti 549) regarding the studied parameters, and year was a determinant factor in the occurrence and severity of the infection of the studied diseases. In 2016, rainy, humid weather induced a severe late blight infection, causing serious damage to the open field, while the weather in 2015 and 2017 was favorable for tomato production and our measurements. There were some differences within and between landraces in terms of susceptibility. The investigation revealed that certain accessions can be highly recommended, e.g., the indeterminate ‘Fadd’ (RCAT030275) and ‘Mátrafüred’ (RCAT057656) had suitably high yields with significantly lower susceptibility to late blight, and the determinate ‘Szentlőrinckáta’ (RCAT078726) with high yield as well as tolerance to early blight is also recommendable, but it is sensitive to late blight under an adverse environment. This study suggests that landraces are competitive with the studied commercial varieties under organic production systems. Considering yield and the prevention of the major diseases of tomato, the studied tomato gene bank accessions are recommended for organic field and protected management systems.

scholarly journals Organic production of native potato landrace “pintaboca” (Solanum stenotomum Juz. & Bukasov) in Bolivia: experimenting planting times and cultivation strategies

2017 ◽  
Vol 21 (1) ◽  
pp. 22-38
Author(s):  
G. Luziatelli, M. Sørensen S.-E. Jacobsen, N. Ortuño, A. Angulo, F. Terrazas
Keyword(s):  
Late Blight ◽  
Foliar Spray ◽  
Organic Production ◽  
Small Scale ◽  
Solanum Stenotomum ◽  
Planting Dates ◽  
Early Planting ◽  
Organic Cultivation ◽  
Progress Curve ◽  
Significant Difference

In the municipality of Colomi, in the highlands of Bolivia, market pressure leads small scale farmers to substitute their native landraces with commercial potato varieties. Organic cultivation might offer a channel for selling native potatoes to an emerging industry of coloured native potato crisps. Nevertheless, as the area is endemic for late blight (Phytophthora infestans), adequate cultivation practices that allow organic production must be defined. The present experiment compared four cultivation strategies (two organic, which included the use of beneficial microoorganisms applied in the soil and through foliar spray, one conventional, which included cymoxanil and mancozeb based fungicides and a control with the same soil treatment as the organic strategies but no foliar spray) and two planting dates (early and main season planting) on a native potato landrace locally known as ‘pintabocaʼ (Solanum stenotomum). Our results showed that early planting resulted in significantly higher yields, although the area under disease progress curve (AUDPC) of late blight did not differ significantly between planting dates. The lower yields in the plot planted during the main season were mainly due to the combined incidence of early and late blight. There was no significant difference in yields and quality of the tubers cultivated with conventional, organic or control treatment, with the exception that the largest tuber size category was produced only in the conventional treatment. We conclude that farmers in Colomi who want to shift to organic cultivation of the landrace ʻpintabocaʼ at altitudes around 3,300 m a.s.l. could benefit from practicing early planting, although additional trials covering several seasons are needed to confirm our results.

scholarly journals Influence of High Tunnel Production and Planting Date on Yield, Growth, and Early Blight Development on Organically Grown Heirloom and Hybrid Tomato

2012 ◽  
Vol 22 (4) ◽  
pp. 452-462 ◽  
Author(s):  
Mary A. Rogers ◽  
Annette L. Wszelaki
Keyword(s):  
Open Field ◽  
Early Blight ◽  
The United States ◽  
Planting Date ◽  
Organic Production ◽  
Local Market ◽  
Fresh Market ◽  
High Tunnel ◽  
High Tunnels ◽  
Marketable Fruit

High tunnels are rapidly gaining favor from growers in many regions of the United States because these structures extend the growing season and increase quality of high-value horticultural crops. Small to midsized organic growers who sell tomatoes (Solanum lycopersicum) for the fresh market can benefit from lower disease pressure and higher marketable yields that can be achieved in high tunnels. High tunnels also protect crops from environmental damage and benefit production of heirloom tomatoes as these varieties often have softer fruit and are more susceptible to diseases and cracking and splitting than hybrid varieties. The objective of this study was to determine the impacts of high tunnel production and planting date on heirloom and hybrid tomato varieties by observing differences in plant growth, yield, marketability, and early blight (Alternaria solani) development within an organic production system. This study showed no increase in total yields in high tunnels as compared with the open field, but increased marketability and size of tomatoes, and lowered incidence of defoliation resulting from early blight. Tomato planted earlier in both high tunnels and the open field yielded more marketable fruit during the production season than plants established on later planting dates. Hybrid varieties yielded more marketable fruit than heirloom varieties; however, heirloom tomatoes can have equivalent market value because of greater consumer demand and premium prices attained in the local market.

Comparison of Prevalence, Antimicrobial Resistance, and Occurrence of Multidrug-Resistant Salmonella in Antimicrobial-Free and Conventional Pig Production

2006 ◽  
Vol 69 (4) ◽  
pp. 743-748 ◽  
Author(s):  
WONDWOSSEN A. GEBREYES ◽  
SIDDHARTHA THAKUR ◽  
W. E. MORGAN MORROW
Keyword(s):  
Antimicrobial Resistance ◽  
Production Systems ◽  
Multidrug Resistant ◽  
Resistance Pattern ◽  
Swine Production ◽  
Significant Difference ◽  
Conventional Farms ◽  
Resistance Patterns ◽  
Conventional Systems ◽  
On Farm

Conventional swine production evolved to routinely use antimicrobials, and common occurrence of antimicrobial-resistant Salmonella has been reported. There is a paucity of information on the antimicrobial resistance of Salmonella in swine production in the absence of antimicrobial selective pressure. Therefore, we compared the prevalence and antimicrobial resistance of Salmonella isolated from antimicrobial-free and conventional production systems. A total of 889 pigs and 743 carcasses were sampled in the study. Salmonella prevalence was significantly higher among the antimicrobial-free systems (15.2%) than the conventional systems (4.2%) (odds ratio [OR] = 4.23; P < 0.05). Antimicrobial resistance was detected against 10 of the 12 antimicrobials tested. The highest frequency of resistance was found against tetracycline (80%), followed by streptomycin (43.4%) and sulfamethoxazole (36%). Frequency of resistance to most classes of antimicrobials (except tetracycline) was significantly higher among conventional farms than antimicrobial-free farms, with ORs ranging from 2.84 for chloramphenicol to 23.22 for kanamycin at the on-farm level. A total of 28 antimicrobial resistance patterns were detected. A resistance pattern with streptomycin, sulfamethoxazole, and tetracycline (n = 130) was the most common multidrug resistance pattern. There was no significant difference in the proportion of isolates with this pattern between the conventional (19.5%) and the antimicrobial-free systems (18%) (OR = 1.8; P > 0.05). A pentaresistance pattern with ampicillin, chloramphenicol, streptomycin, sulfamethoxazole, and tetracycline was strongly associated with antimicrobial-free groups (OR = 5.4; P = 0.01). While showing the higher likelihood of finding antimicrobial resistance among conventional herds, this study also implies that specific multidrug-resistant strains may occur on antimicrobial-free farms. A longitudinal study with a representative sample size is needed to reach more conclusive results of the associations detected in this study.

scholarly journals Quality Management Systems Implementation Compared With Organizational Maturity in Hospital

2015 ◽  
Vol 8 (3) ◽  
pp. 174 ◽  
Author(s):  
Tayebeh Moradi ◽  
Mehdi Jafari ◽  
Mohammad Reza Maleki ◽  
Seyran Naghdi ◽  
Hesam Ghiasvand
Keyword(s):  
Quality Management ◽  
Quality Management System ◽  
Management Systems ◽  
P Value ◽  
Maturity Model ◽  
Quality Management Systems ◽  
Systems Implementation ◽  
Significant Difference ◽  
Organizational Maturity ◽  
Improvement Programs

<p><strong>BACKGROUND:</strong> A quality management system can provide a framework for continuous improvement in order to increase the probability of customers and other stakeholders’<strong> </strong>satisfaction.<strong> </strong>The test maturity model helps organizations to assess the degree of maturity in implementing effective and sustained quality management systems; plan based on the current realities of the organization and prioritize their improvement programs.</p> <p><strong>OBJECTIVES:</strong> We aim to investigate and compare the level of organizational maturity in hospitals with the status of quality management systems implementation.</p> <p><strong>MATERIALS &amp; METHODS: </strong>This analytical cross sectional study was conducted among hospital administrators and quality experts working in hospitals with over 200 beds located in Tehran. In the first step, 32 hospitals were selected and then 96 employees working in the selected hospitals were studied. The data were gathered using the implementation checklist of quality management systems and the organization maturity questionnaire derived from ISO 10014. The content validity was calculated using Lawshe method and the reliability was estimated using test - retest method and calculation of Cronbach’s alpha coefficient. The descriptive and inferential statistics were used to analyze the data using SPSS 18 software.</p> <p><strong>RESULTS:</strong><strong> </strong>According to the table, the mean score of organizational maturity among hospitals in the first stage of quality management systems implementation was equal to those in the third stage and hypothesis was rejected (p-value = 0.093). In general, there is no significant difference in the organizational maturity between the first and third level hospitals (in terms of implementation of quality management systems).</p> <p><strong>CONCLUSIONS:</strong> Overall, the findings of the study show that there is no significant difference in the organizational maturity between the hospitals in different levels of the quality management systems implementation and in fact, the maturity of the organizations cannot be attributed to the implementation of such systems. As a result, hospitals should make changes in the quantity and quality of quality management systems in an effort to increase organizational maturity, whereby they improve the hospital efficiency and productivity.</p>

SPRAYING TOMATOES FOR THE CONTROL OF LEAF SPOT, EARLY BLIGHT AND LATE BLIGHT

1957 ◽  
Vol 37 (4) ◽  
pp. 385-391
Author(s):  
K. M. Graham ◽  
A. G. Donaldson
Keyword(s):  
Late Blight ◽  
Leaf Spot ◽  
Early Blight ◽  
Tomato Leaf

Tomato leaf spot, early blight, and late blight were controlled effectively in the Ottawa district by six applications of the fixed copper COCS 55 or of Manzate (maneb). The split schedule consisting of three sprays with Manzate, followed by three sprays with COCS 55, or the tank mixture of these two fungicides, gave results comparable to those obtained with each of them alone. Some of the fungicides tested showed a degree of specificity in the control of certain diseases.

scholarly journals Plant Disease Identification Using Shallow Convolutional Neural Network

Agronomy ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2388
Author(s):  
Sk Mahmudul Hassan ◽  
Michal Jasinski ◽  
Zbigniew Leonowicz ◽  
Elzbieta Jasinska ◽  
Arnab Kumar Maji
Keyword(s):  
Deep Learning ◽  
Late Blight ◽  
Early Blight ◽  
Gray Leaf Spot ◽  
Plant Diseases ◽  
Automated Identification ◽  
Average Accuracy ◽  
Proposed Model ◽  
Effective Manner ◽  
Tomato Diseases

Various plant diseases are major threats to agriculture. For timely control of different plant diseases in effective manner, automated identification of diseases are highly beneficial. So far, different techniques have been used to identify the diseases in plants. Deep learning is among the most widely used techniques in recent times due to its impressive results. In this work, we have proposed two methods namely shallow VGG with RF and shallow VGG with Xgboost to identify the diseases. The proposed model is compared with other hand-crafted and deep learning-based approaches. The experiments are carried on three different plants namely corn, potato, and tomato. The considered diseases in corns are Blight, Common rust, and Gray leaf spot, diseases in potatoes are early blight and late blight, and tomato diseases are bacterial spot, early blight, and late blight. The result shows that our implemented shallow VGG with Xgboost model outperforms different deep learning models in terms of accuracy, precision, recall, f1-score, and specificity. Shallow Visual Geometric Group (VGG) with Xgboost gives the highest accuracy rate of 94.47% in corn, 98.74% in potato, and 93.91% in the tomato dataset. The models are also tested with field images of potato, corn, and tomato. Even in field image the average accuracy obtained using shallow VGG with Xgboost are 94.22%, 97.36%, and 93.14%, respectively.

scholarly journals Milk productivity of first-calf cows depending on the intensity of their breeding

2022 ◽  
Vol 51 (6) ◽  
pp. 77-83
Author(s):  
L. L. Petrukhina
Keyword(s):  
Growth Rate ◽  
Milk Production ◽  
Live Weight ◽  
Milk Productivity ◽  
Statistical Research ◽  
Black And White ◽  
Irkutsk Region ◽  
Significant Difference ◽  
On Farm ◽  
Analytical Variation

The paper presents the results of studies of milk productivity of black-and-white cows depending on the age of the first insemination and live weight at the first calving in the conditions of the Irkutsk region. The dynamics of heifer rearing by year, milk productivity of cows in the 1st and 3rd lactations depending on the intensity of their development has been studied. The experiment was conducted on farm materials from the Irkutsk Region using generally accepted zootechnical, analytical, variation and statistical research methods from 2016 to 2020. Live weight of heifers at all ages met the requirements of the elite and elite-record classes. Analysis of the data showed that the growth rate of the animals increased during 5 years (6.0%, 6.8, 2.3 and 4.8% respectively with a significant difference p ≥ 0.90). With the increased intensity of heifer rearing, an increase in milk yield over 305 days of the first lactation was observed. The highest milk production was noted in the 1st (5309-5476 kg) and 3rd (5418-5817 kg) lactations in cows with the first fruitful insemination at 13-14 months. The lowest 1st and 3rd lactation yields are obtained from cows inseminated at 20 months of age or older. Higher milk production in the first and third lactations was obtained from cows with a live weight at first calving of 541-550 kg, 551 kg and higher (5197-5164, 5436-5545 kg respectively). Less milk production was obtained from cows with a live weight at first calving of up to 500 kg (4567-5122, 4943-5009 kg). The results obtained make it possible to reveal the influence of the intensity of rearing heifers on the productive qualities of cows.

scholarly journals Plant pathogen effector utilizes host susceptibility factor NRL1 to degrade the immune regulator SWAP70

2018 ◽  
Vol 115 (33) ◽  
pp. E7834-E7843 ◽  
Author(s):  
Qin He ◽  
Shaista Naqvi ◽  
Hazel McLellan ◽  
Petra C. Boevink ◽  
Nicolas Champouret ◽  
...  
Keyword(s):  
Late Blight ◽  
Plant Pathogens ◽  
Dominant Negative ◽  
Host Protein ◽  
Host Susceptibility ◽  
Dominant Negative Mutant ◽  
Virus Induced Gene Silencing ◽  
Pathogen Effector ◽  
Late Blight Disease ◽  
Blight Disease

Plant pathogens deliver effectors into plant cells to suppress immunity. Whereas many effectors inactivate positive immune regulators, other effectors associate with negative regulators of immunity: so-called susceptibility (S) factors. Little is known about how pathogens exploit S factors to suppress immunity. Phytophthora infestans RXLR effector Pi02860 interacts with host protein NRL1, which is an S factor whose activity suppresses INF1-triggered cell death (ICD) and is required for late blight disease. We show that NRL1 interacts in yeast and in planta with a guanine nucleotide exchange factor called SWAP70. SWAP70 associates with endosomes and is a positive regulator of immunity. Virus-induced gene silencing of SWAP70 in Nicotiana benthamiana enhances P. infestans colonization and compromises ICD. In contrast, transient overexpression of SWAP70 reduces P. infestans infection and accelerates ICD. Expression of Pi02860 and NRL1, singly or in combination, results in proteasome-mediated degradation of SWAP70. Degradation of SWAP70 is prevented by silencing NRL1, or by mutation of Pi02860 to abolish its interaction with NRL1. NRL1 is a BTB-domain protein predicted to form the substrate adaptor component of a CULLIN3 ubiquitin E3 ligase. A dimerization-deficient mutant, NRL1NQ, fails to interact with SWAP70 but maintains its interaction with Pi02860. NRL1NQ acts as a dominant-negative mutant, preventing SWAP70 degradation in the presence of effector Pi02860, and reducing P. infestans infection. Critically, Pi02860 enhances the association between NRL1 and SWAP70 to promote proteasome-mediated degradation of the latter and, thus, suppress immunity. Preventing degradation of SWAP70 represents a strategy to combat late blight disease.

SMALLHOLDER FARMER’S LIVELIHOOD DIVERSIFICATION AS A RESPONSE TO CHANGED CLIMATIC PATTERNS IN CHONGWE DISTRICT, ZAMBIA.

2020 ◽  
Vol 3 (1) ◽  
pp. 1-17
Author(s):  
Mbewe Jacqueline ◽  
Kabwe Harnadih Mubanga
Keyword(s):  
Climate Change ◽  
Smallholder Farmers ◽  
Rainfall Variability ◽  
Climatic Conditions ◽  
Theory And Practice ◽  
Farm Income ◽  
Significant Difference ◽  
Rainfall Patterns ◽  
On Farm ◽  
Impacts Of Climate Change

Purpose: Climate change affects local and global rainfall patterns and hence has a counter effect on smallholder agriculture. Impacts of climate change on agriculture are largely due to rainfall variability resulting in reduced yields due to crop-water stress and emergency of pathogens and diseases. In Zambia, climate change has been manifested through increased intensity of droughts and floods. These rainfall anomalies adversely affect agriculture and food systems. In order to survive the impacts of climate change and variability, smallholder farmers in Chongwe have adopted their livelihoods and farming systems to the new climatic patterns.Methodology: This study assessed how smallholder farmers in Chongwe District have adopted their livelihoods as a response to changed climatic conditions. It also investigated the perceptions of smallholder farmers as regards changes in aspects of their climatic conditions. Data collection involved a critical review of literature related to climate change and agriculture, observations, semi- structured interviews with 60 smallholder farmers and eight key informants. The data were analysed using multiple analysis techniques which included the descriptive statistics, One-way analysis of Variance (ANOVA), and the post-hoc Least Square Difference for pairwise comparisons of incomes from different livelihoods engaged in by smallholder farmers .The gendered comparisons of livelihood engagement was done using the chi-square test of association.Findings: The results showed that all farmers perceived occurrence of changes in climatic conditions in the light of changed rainfall patterns in that there has been uncertainty in onset of rains, short rainy season, more intermittent rainfall and increased frequency of intra-seasonal droughts. These changes have led to farmers to adopt such farming techniques as potholing in preference to oxen and tractor ploughing when farming is done on smaller pieces of land. There was a significant difference in the mean annual incomes generated from on-farm livelihoods (ZMW 3677.59; n=58) and off-farm livelihoods (ZMW 6840.91; n = 58) (p= 0.001). Farmers generated the highest income returns by engaging in casual work (ZMW 10307.69; n = 13) compared to every other livelihoods common in the area such as gardening (p=0.002), petty trade (p=0.002) and on-farm livelihoods (p=0.001).Contribution to policy, theory and practice: It was therefore concluded that diversification of income through diversified livelihoods would help smallholder farmers enhance their resilience in the face of changed climatic conditions. On-farm livelihoods should not always be the main income source for farmers as results indicated that farmers engaged in casual work generated higher incomes than those who depended on farming. It was recommended that policy direction should be towards introduction of a gender responsive credit facility that can help improve women’s engagement in off-farm income generating livelihoods, as well as encourage climate change resilience.

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