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Статті в журналах з теми "Tar spot of corn"
McCoy, A. G., M. G. Roth, R. Shay, Z. A. Noel, M. A. Jayawardana, R. W. Longley, G. Bonito, and M. I. Chilvers. "Identification of Fungal Communities Within the Tar Spot Complex of Corn in Michigan via Next-Generation Sequencing." Phytobiomes Journal 3, no. 3 (January 2019): 235–43. http://dx.doi.org/10.1094/pbiomes-03-19-0017-r.
Повний текст джерелаValle-Torres, J., T. J. Ross, D. Plewa, M. C. Avellaneda, J. Check, M. I. Chilvers, A. P. Cruz, et al. "Tar Spot: An Understudied Disease Threatening Corn Production in the Americas." Plant Disease 104, no. 10 (October 2020): 2541–50. http://dx.doi.org/10.1094/pdis-02-20-0449-fe.
Повний текст джерелаOh, Sungchan, Da-Young Lee, Carlos Gongora-Canul, Akash Ashapure, Joshua Carpenter, A. P. Cruz, Mariela Fernandez-Campos, et al. "Tar Spot Disease Quantification Using Unmanned Aircraft Systems (UAS) Data." Remote Sensing 13, no. 13 (June 30, 2021): 2567. http://dx.doi.org/10.3390/rs13132567.
Повний текст джерелаKleczewski, Nathan M., James Donnelly, and Russ Higgins. "Phyllachora maydis, Causal Agent of Tar Spot on Corn, Can Overwinter in Northern Illinois." Plant Health Progress 20, no. 3 (January 1, 2019): 178. http://dx.doi.org/10.1094/php-04-19-0030-br.
Повний текст джерелаMalvick, D. K., D. E. Plewa, D. Lara, N. M. Kleczewski, C. M. Floyd, and B. E. Arenz. "First Report of Tar Spot of Corn Caused by Phyllachora maydis in Minnesota." Plant Disease 104, no. 6 (June 2020): 1865. http://dx.doi.org/10.1094/pdis-10-19-2167-pdn.
Повний текст джерелаGroves, Carol L., Nathan M. Kleczewski, Darcy E. P. Telenko, Martin I. Chilvers, and Damon L. Smith. "Phyllachora maydis Ascospore Release and Germination from Overwintered Corn Residue." Plant Health Progress 21, no. 1 (January 1, 2020): 26–30. http://dx.doi.org/10.1094/php-10-19-0077-rs.
Повний текст джерелаMueller, Daren S., Kiersten A. Wise, Adam J. Sisson, Tom W. Allen, Gary C. Bergstrom, Kaitlyn M. Bissonnette, Carl A. Bradley, et al. "Corn Yield Loss Estimates Due to Diseases in the United States and Ontario, Canada, from 2016 to 2019." Plant Health Progress 21, no. 4 (January 1, 2020): 238–47. http://dx.doi.org/10.1094/php-05-20-0038-rs.
Повний текст джерелаTelenko, Darcy E. P., Tiffanna J. Ross, Sujoung Shim, Qinhu Wang, and Raksha Singh. "Draft Genome Sequence Resource for Phyllachora maydis—An Obligate Pathogen That Causes Tar Spot of Corn with Recent Economic Impacts in the United States." Molecular Plant-Microbe Interactions® 33, no. 7 (July 2020): 884–87. http://dx.doi.org/10.1094/mpmi-03-20-0075-a.
Повний текст джерелаRuhl, G., M. K. Romberg, S. Bissonnette, D. Plewa, T. Creswell, and K. A. Wise. "First Report of Tar Spot on Corn Caused by Phyllachora maydis in the United States." Plant Disease 100, no. 7 (July 2016): 1496. http://dx.doi.org/10.1094/pdis-12-15-1506-pdn.
Повний текст джерелаMcCoy, A. G., M. K. Romberg, E. R. Zaworski, A. E. Robertson, A. Phibbs, B. D. Hudelson, D. L. Smith, et al. "First Report of Tar Spot on Corn (Zea mays) Caused by Phyllachora maydis in Florida, Iowa, Michigan, and Wisconsin." Plant Disease 102, no. 9 (September 2018): 1851. http://dx.doi.org/10.1094/pdis-02-18-0271-pdn.
Повний текст джерелаДисертації з теми "Tar spot of corn"
Lehmensiek, Anke. "Genetic mapping of gray leaf spot resistance genes in maize." Thesis, Stellenbosch : Stellenbosch University, 2000. http://hdl.handle.net/10019.1/51776.
Повний текст джерелаENGLISH ABSTRACT: Gray leaf spot (GLS) of maize, caused by the fungus Cercospora zeae-maydis, can reduce grain yields by up to 60% and it is now recognized as one of the most significant yield-limiting diseases of maize in many parts of the world. The most sustainable and long-term management strategy for GLS will rely heavily on the development of high-yielding, locally adapted GLS resistant hybrids. Molecular markers could be useful to plant breeders to indirectly select for genes affecting GLS resistance and to identify resistance genes without inoculation and at an early stage of plant development. Only two studies in the USA have examined quantitative trait loci (QTL) association with GLS resistance. The aim of this study was to map GLS resistance genes in a resistant Seed Co LTD, Zimbabwean inbred line. Molecular markers linked to the GLS resistance QTL were identified by using the amplified fragment length polymorphism (AFLP) technique together with bulked segregant analysis. Eleven polymorphic AFLP fragments were identified and converted to sequence-specific PCR (polymerase chain reaction) markers. Eight of the 11 converted AFLP markers were added to the maize marker database of the University of Stellenbosch. Five of the 8 converted AFLP markers were polymorphic between the resistant and the susceptible parent. They were amplified on the DNA of 230 plants of a segregating F2 population and linkage analysis was performed with MAPMAKER/EXP. Two linkage groups consisting of two markers each, with a linkage distance of 10.4 cM (LOD 22.83) and 8.2 cM (LOD 55.41) between the two markers, were identified. QTL mapping with MAPMAKER/QTL confirmed the presence of QTL in both linkage groups. Two publicly available recombinant inbred families (Burr et a/., 1988) were used to localize the converted AFLP markers on the genetic map of maize. The QTL, which were identified with the AFLP markers, were mapped to chromosomes 1 and 5. Another AFLP marker was mapped to chromosome 2 and a further to chromosome 3. To obtain more precise localizations of the QTL on chromosomes 1 and 5, sequence-tagged site markers and microsatellite markers were used. The markers were amplified on the DNA of the 230 plants of the F2 population and linkage analysis was performed with MAPMAKER/EXP. The order of the markers was in agreement with the UMC map of the Maize Genome Database. Interval mapping using MAPMAKERlQTL and composite interval mapping using QTL Cartographer were performed. The QTL on chromosome 1 had a LOD score of 21 and was localized in bin 1.05/06. A variance of 37% was explained by the QTL. Two peaks were visible for the QTL on chromosome 5, one was localized in bin 5.03/04 and the other in bin 5.05/06. Both peaks had a LOD score of 5 and 11% of the variance was explained by the QTL. To test the consistency of the detected QTL, the markers flanking each QTL were amplified on selected plants of two F2 populations planted in consecutive years and regression analysis was performed. Both the QTL on chromosome 1 and the QTL on chromosome 5 were detected in these populations. Furthermore, the presence of a QTL on chromosome 3 was confirmed with these populations. A variance of 8 -10% was explained by the QTL on chromosome 3. In this study, a major GLS resistance QTL was thus mapped on chromosomes 1 and two minor GLS resistance QTL were mapped on chromosomes 3 and 5 using a resistant Seed Co LTD, Zimbabwean inbred line. Markers were identified which could be used in a marker-assisted selection program to select for the GLS resistance QTL.
AFRIKAANSE OPSOMMING: Grys blaarvlek (GBV) van mielies, veroorsaak deur die swam Cercospora zeaemaydis, kan graanopbrengs met tot 60% verlaag en word beskou as een van die vernaamste opbrengs-beperkende siektes wêreldwyd. Die toepaslikste langtermyn stragtegie vir GBV beheer sal wees om plaaslike mieliebasters met hoë opbrengs en GBV weerstand te ontwikkel. Molekulêre merkers kan nuttig deur plantetelers gebruik word om weerstandsgene te selekteer. Seleksie is moontlik in die afwesigheid van inokolum en op 'n vroeë stadium van plant ontwikkeling. Slegs twee vorige studies (in die VSA) het kwantitatiewe-kenmerk-Iokusse (KKL), vir GBVweerstand ondersoek. Die doel van hierdie studie was om die GBV weerstandsgene in 'n weerstandbiedende ingeteelde lyn (Seed Co BPK, Zimbabwe) te karteer. Molekulêre merkers gekoppel aan die GBV weerstands KKL is geïdentifiseer deur gebruik te maak van die geamplifiseerde-fragmentlengte-polimorfisme- (AFLP-) tegniek en gebulkte-segregaat-analise. Elf polimorfiese merkers is geïdentifiseer en omgeskakel na volgorde-spesifieke PKR (polimerase kettingreaksie) merkers. Agt van die elf omgeskakelde AFLP-merkers is by die mieliemerker databasis van die Universiteit van Stellenbosch gevoeg. Vyf van die 8 omgeskakelde AFLP-merkers was polimorfies tussen die bestande en vatbare ouers. Hulle is geamplifiseer op die DNA van 230 plante van 'n segregerende F2-populasie en is gebruik in 'n koppelingstudie met MAPMAKER/EXP. Twee koppelingsgroepe, elk bestaande uit twee merkers, met onderskeidelik koppelingsafstande van 10.4 eM (LOD 22.83) en 8.2 eM (LOD 55.41) tussen die merkers, is geïdentifiseer. KKL-kartering het getoon dat KKL in albei koppelingsgroepe aanwesig is. Twee kommersieël beskikbare, rekombinant-ingeteelde families (Burr et aI., 1988) is gebruik om die omgeskakelde AFLP-merkers op die mielie genetiese kaart te plaas. Die KKL wat met die AFLP-merkers geïdentifiseer is, is gekarteer op chromosome 1 en 5. 'n Verdere AFLP-merker is op chromosoom 2 gekarteer en 'n ander op chromosoom 3. Ten einde die KKL op chromosome 1 en 5 meer akkuraat te karteer, is volgordege- etikeerde en mikrosatelliet merkers gebruik. Die merkers is geamplifiseer op die DNA van die 230 plante van die F2-populasie en koppelings-analises is uitgevoer. Die volgorde van die merkers was dieselfde as die van die UMC-kaart in die Mielie Genoom Databasis. Interval kartering met MAPMAKER/QTL en komposiet interval kartering met QTL Cartographer is uitgevoer. Die KKL op chromosoom 1 het 'n LOD-telling van 21 gehad en is in bin 1.05/06 geplaas. Die KKL was verantwoordelik vir 37% van die variansie. Twee pieke was onderskeibaar vir die KKL op chromosoom 5, een in bin 5.03/04 geleë en die ander in bin 5.05/06. Elke piek het 'n LOD-telling van 5 gehad en die twee KKL was verantwoordelik vir 11% van die variansie. Om die herhaalbaarheid van die effek van die KKL te toets is die merkers naaste aan elke KKL geamplifiseer op geselekteerde plante van twee F2-populasies wat in opeenvolgende jare geplant is. Regressie analise is op die data gedoen. Beide die KKL op chromosoom 1 en die KKL op chromosoom 5 kon in hierdie populasies geïdentifiseer word. Verder kon die aanwesigheid van 'n verdere KKL op chromosoom 3 in hierdie populasies bevestig word. Laasgenoemde KKL was verantwoordelik vir 8-10% van die totale variansie. In hierdie studie is daar dus 'n hoof GBV-weerstands KKL gekarteer op chromosoom 1 en twee kleiner GBV-weerstands KKL gekarteer op chromosome 3 en 5. Merkers is geïdentifiseer wat moontlik in merker-gebaseerdetelingsprogramme gebruik kan word om plante te selekteer wat die GBVweerstands KKL het.
Saito, Belisa Cristina [UNESP]. "Characterization of corn inbred lines for disease resistance." Universidade Estadual Paulista (UNESP), 2017. http://hdl.handle.net/11449/150400.
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O milho é uma das culturas mais extensamente cultivadas em todo mundo. A incidência e a severidade de doenças têm aumentado significativamente nos últimos anos acarretando perdas no rendimento e afetando a qualidade dos grãos. Muitos trabalhos têm sido desenvolvidos na tentativa de identificar híbridos resistentes às principais doenças que acometem a cultura do milho, mas poucos são os relatos de estudos com linhagens. Dessa forma, o objetivo deste estudo foi: 1) identificar linhagens resistentes e susceptíveis com base na área abaixo da curva de progresso de doenças (AACPD) para os sintomas de ferrugem tropical (TR), ferrugem polissora (SR), cercosporiose (GLS), helmintosporiose (NLB), mancha marrom (PBS) e mancha branca (PLS); 2) identificar linhagens resistentes e suscetíveis com base nos parâmetros de adaptabilidade e estabilidade fenotípica para os sintomas de cercosporiose, helmintosporiose, mancha marrom e mancha branca; 3) identificar as melhores datas de semeadura, com a maior ocorrência das doenças, para fins de avaliação de linhagens e outros genótipos para resistência. Cinquenta linhagens, derivadas de populações com grãos flint e dent, foram avaliadas em blocos casualizados com três repetições, aos 45, 60, 75 e 90 dias após a semeadura em duas épocas, para medição da AACPD. Para a análise de adaptabilidade e estabilidade, 41 linhagens foram avaliadas em blocos casualizados com três repetições, 30 dias após o florescimento feminino, em onze épocas de semeadura, usando o método de análise de regressão. Foram atribuídas notas de 1, 2, 3, 4, 5, 6, 7, 8 e 9 correspondendo a 0, 1, 10, 20, 30, 40, 60, 80 e > 80% de área foliar com sintomas de doença. Para a AACPD, a análise de variância conjunta foi significativa para TR, SR, GLS e PLS e a interação linhagens x épocas foi significativa para ferrugem tropical e polissora. Para GLS e NLB as 41 linhagens foram classificadas como resistentes, sendo que as maiores severidades de doenças ocorreram nas semeaduras entre Junho e Setembro. As linhagens IVF1-3, IVF1-7, IVF1 -9, IVF1-10, IVF1 -11, IVF1 -25, IVF1-230, IVD1-2, IVD1 -2-1, IVD1-3, IVD1-9, IVD1 -12, 2F, 3F, 6F, 9F, 10F, 4C, 2D e 7D foram classificadas como resistentes para as doenças estudadas, sendo indicadas para o desenvolvimento de sintéticos. Para a mancha marrom e mancha branca, as semeaduras de Abril, Junho, Julho e Agosto apresentaram maiores severidades de doenças. As linhagens IVD1-9, IVD1-10, 7D, 10D e 2F podem ser indicadas no desenvolvimento de sintéticos resistentes.
Corn is one of the most widely cultivated crops in the worldwide. The incidence and severity of diseases affecting crops have increased significantly in the past years, leading to yield losses and affecting grain quality. Many studies have been carried out with the attempt to identify hybrids that are resistant to the main diseases, but few reports have studied inbred lines. Therefore, the objectives of this study were: 1) identify resistant and susceptible inbred lines based on the area under disease progress curve (AUDPC) for tropical rust, southern rust, gray leaf spot, northern leaf blight, physoderma brown spot and phaeosphaeria leaf spot; 2) identify resistant and susceptible inbred lines based on adaptability and stability parameters for symptoms of gray leaf spot (GLS), northern leaf blight (NLB), physoderma brown spot (PBS) and phaeosphaeria leaf spot (PLS); 3) identify the best planting dates, with the highest occurrence of diseases, for the purpose of evaluating inbred lines and other genotypes for resistance. For AUDPC, fifty inbred lines, derived from populations with flint and dent grains, were evaluated in randomized block designs with three replications, at 45, 60, 75 and 90 days after planting in two seasons. For the analysis of adaptability and stability, forty-one inbred lines were evaluated in randomized blocks with three replications, 30 days after silking, in eleven planting dates, using regression analysis method. The scale of scores from 1, 2, 3, 4, 5, 6, 7, 8 and 9 corresponding to 0, 1, 10, 20, 30, 40, 60, 80 and > 80% of leaf area with disease symptoms was used. For AUDPC, the joint analysis of variance was significant for TR, SR, GLS and PLS, while the interaction inbred lines x environments, was significant for TR and SR. For GLS and NLB, forty-one inbred lines were classified as resistant and the highest severities of diseases occurred in planting dates between June and September. The inbred lines IVF1-3, IVF1-7, IVF1 -9, IVF1-10, IVF1 -11, IVF1 -25, IVF1-230, IVD1-2, IVD1 -2-1, IVD1-3, IVD1-9, IVD1 -12, 2F, 3F, 6F, 9F, 10F, 4C, 2D and 7D were classified as resistant to the diseases studied and are indicated to produce synthetics. For PBS and PLS, the plating dates of April, June, July and August showed higher disease severity. The inbred lines IVD1-9, IVD1-10, 7D,10D and 2F may be indicated to produce synthetics.
Saito, Belisa Cristina. "Characterization of corn inbred lines for disease resistance /." Ilha Solteira, 2017. http://hdl.handle.net/11449/150400.
Повний текст джерелаResumo: O milho é uma das culturas mais extensamente cultivadas em todo mundo. A incidência e a severidade de doenças têm aumentado significativamente nos últimos anos acarretando perdas no rendimento e afetando a qualidade dos grãos. Muitos trabalhos têm sido desenvolvidos na tentativa de identificar híbridos resistentes às principais doenças que acometem a cultura do milho, mas poucos são os relatos de estudos com linhagens. Dessa forma, o objetivo deste estudo foi: 1) identificar linhagens resistentes e susceptíveis com base na área abaixo da curva de progresso de doenças (AACPD) para os sintomas de ferrugem tropical (TR), ferrugem polissora (SR), cercosporiose (GLS), helmintosporiose (NLB), mancha marrom (PBS) e mancha branca (PLS); 2) identificar linhagens resistentes e suscetíveis com base nos parâmetros de adaptabilidade e estabilidade fenotípica para os sintomas de cercosporiose, helmintosporiose, mancha marrom e mancha branca; 3) identificar as melhores datas de semeadura, com a maior ocorrência das doenças, para fins de avaliação de linhagens e outros genótipos para resistência. Cinquenta linhagens, derivadas de populações com grãos flint e dent, foram avaliadas em blocos casualizados com três repetições, aos 45, 60, 75 e 90 dias após a semeadura em duas épocas, para medição da AACPD. Para a análise de adaptabilidade e estabilidade, 41 linhagens foram avaliadas em blocos casualizados com três repetições, 30 dias após o florescimento feminino, em onze épocas de semeadura, us... (Resumo completo, clicar acesso eletrônico abaixo)
Doutor
Carter, Michele R. "Gray leaf spot of corn : yield loss and evaluation of germplasm for resistance /." Thesis, This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-10062009-020049/.
Повний текст джерелаNazareno, Nilceu Ricetti Xavier de. "Influence of infected corn residue as a source of primary inoculum of Cercospora zeae-maydis (Tehon and Daniels) the cause of gray leaf spot of corn /." The Ohio State University, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487759914762668.
Повний текст джерелаDu, Min. "A greenhouse screening method for resistance to gray leaf spot in maize." Thesis, Virginia Tech, 1993. http://hdl.handle.net/10919/42953.
Повний текст джерелаWallhead, Matthew W. "Foliar Fungicide Effects on Gray Leaf Spot and Yield of Hybrid Corn as Influenced by Application Timing, Hybrid Characteristics and Production Practices." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1324573828.
Повний текст джерелаDonahue, Patrick J. "Inheritance of reactions to gray leaf spot and maize dwarf mosaic virus in maize and their associations with physiological traits." Diss., Virginia Polytechnic Institute and State University, 1989. http://hdl.handle.net/10919/54518.
Повний текст джерелаPh. D.
Lewis, Aaron D. "Gasification of Biomass, Coal, and Petroleum Coke at High Heating Rates and Elevated Pressure." BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/4373.
Повний текст джерелаLanza, Fabrício Eustáquio. "Mancha-branca do milho: etiologia e resistência de genótipos." Universidade Federal de Viçosa, 2009. http://locus.ufv.br/handle/123456789/4378.
Повний текст джерелаConselho Nacional de Desenvolvimento Científico e Tecnológico
The main objectives of this work were to identify the causal agent of the maize White Spot, to obtain preliminary information on the disease dispersal in the field and to characterize the reaction of maize hybrids and inbreds to the disease. For the etiological studies, isolations were performed from white spot lesions the anasarca phase, resulting in the development of bacterial colonies. Maize hybrids BRS2022, BRS1010, 1D2195, BRS1040, BRS1035, BRS1031, BRS3025, BRS1030, 2B710 e P30F35 and inbred lines L3, L228-3, 521274, 521236 e 262841-1-4-1 were evaluated under natural epidemic in a randomized block design with three replications. Cultivars were planted in single row plots, separated by two rows of the resistant hybrid BRS1010. Spreader rows were formed by planting the susceptible genotype DAS657 0,5 m apart and in front of each block. Disease severity was evaluated at a weekly internal starting 60 days after planting, through a 1 to 9 scale of disease severity where 1= no disease and 9= 100% of leaf area affected. Ratings were taken at three different locations within each plot: 1, 2, 3, 4, 5 and 6 meters inoculum source. Data were used for the calculation of the area under disease progress curve (AUDPC), disease severity at 50% of epidemic development (Y50), disease severity at the end of the epidemic, and the rate of disease progress. Inoculations on the susceptible hybrid DAS657, in the greenhouse, reproduced the typical symptoms of the disease. Re-isolations from theses lesions confirmed the presence of the same bacteria isolated from the field, which identified as Pantoea ananatis, confirming previous reports on the involvement of this bacteria in the initial lesions of this disease. No disease gradient was observed based on the disease severity observed in each point of evaluation within each plot. A better distinction between the level of resistance of maize genotypes was obtained through AUDPC and Ymáx values. Maize hybrids BRS1030, BRS1035 and BRS1010 and inbreds L3, and L228-3 were the most resistant genotypes. These inbred lines may be useful in breeding programs for resistance to maize white spot.
Este trabalho objetivou confrimar o agente causal da mancha-branca do milho, obter informações preliminares sobre a dispersão do patógeno e caracterizar a reação de genótipos de milho a doença. Para o estudo etiológico, isolados foram obtidos de lesões de manchabranca em fase de anasarca, resultando em desenvolvimento de colônias bacterianas. Híbridos de milho, BRS2022, BRS1010, 1D2195, BRS1040, BRS1035, BRS1031, BRS3025, BRS1030, 2B710 e P30F35 e as linhagens L3, L228-3, 521274, 521236 e 262841-1-4-1 foram avaliados sob epidemia natural em delineamento de blocos ao acaso e três repetições. Os cultivares foram plantados em fileiras de cinco metros, separadas por uma linha do híbrido resistente BRS1010. A cortina suscetível (fonte de inóculo) formada pelo híbrido DAS657, foi plantada na parte frontal de cada bloco, afastada 0,5 m. A severidade da doença foi avaliada em intervalos semanais a partir dos 60 dias do plantio, utilizando uma escala de 1 a 9, onde: 1= sem doença e 9= 100% de área foliar afetada. As avaliações foram realizadas em 6 pontos dentro da parcela afastados 1, 2, 3, 4, 5 e 6 metros da fonte de inóculo. Os dados de severidade foram usados para o calculo da área abaixo da curva de progresso da doença (AACPD), severidade da doença na metade da epidemia (Y50), severidade da doença no final da epidemia (Ymáx), e taxa de progresso da doença. Com inoculações em híbrido suscetível DAS657, em casa de vegetação, foi possível reproduzir os sintomas típicos da doença. Reisolamento a partir dessas lesões confirmou a presença da mesma bactéria isolada do campo, identificada como Pantoea ananatis, corroborando relatos do envolvimento desta bactéria nos sintomas iniciais da doença. Não foi observada a formação de um gradiente de dispersão baseado na severidade da doença observada em cada ponto de avaliação dentro da parcela. A melhor distinção entre os níveis de resistência de genótipos de milho foi obtida pelos valores de AACPD e Ymáx. Os híbridos de milho BRS1030, BRS1035 e BRS1010 e as linhagens L3, e L228-3 foram os genótipos mais resistentes. Essas linhagens podem ser usadas em programas de melhoramento visando resistência a mancha-branca.
Книги з теми "Tar spot of corn"
Boudreau, Mark Alan. Effects of intercropping beans with maize on angular leaf spot and rust of beans. 1991.
Знайти повний текст джерелаEsteban Salvador, María Luisa, Emilia Fernandes, Tiziana Di Cimbrini, Gonca Güngör Göksu, and Rachael Jones. Donne e Governance Nazionale dello Sport: un Approccio Europeo Guida alle interviste. Servicio de Publicaciones Universidad de Zaragoza, 2022. http://dx.doi.org/10.26754/uz.978-84-18321-47-4.
Повний текст джерелаEsteban Salvador, María Luisa, Tiziana Di Cimbrini, Emilia Fernandes, Gonca Güngör Göksu, and Charlotte Smith. La corporate governance nelle organizzazioni sportive: un approccio di genere. Report finale 2022. Servicio de Publicaciones Universidad de Zaragoza, 2022. http://dx.doi.org/10.26754/uz.978-84-18321-52-8.
Повний текст джерелаLondoño M., Jaime E., Hansel Mera, and Enrique Rodriguez Caporali, eds. Hacer la ciudad moderna. Cali en la primera mitad del Siglo XX. Universidad Icesi, 2022. http://dx.doi.org/10.18046/eui/escr.22.2022.
Повний текст джерелаSánchez González, María, ed. #DIenlínea UNIA : guía para una docencia innovadora en red. Universidad Internacional de Andalucía, 2021. http://dx.doi.org/10.56451/10334/5981.
Повний текст джерелаLademann, Amy, and Rick Lademann. Pilates and Conditioning for Athletes. Human Kinetics, 2019. http://dx.doi.org/10.5040/9781718214163.
Повний текст джерелаЧастини книг з теми "Tar spot of corn"
Walton, Jonathan D., Richard Ransom, and John W. Pitkin. "Northern Corn Leaf Spot: Chemistry, Enzymology, and Molecular Genetics of a Host-Selective Phytotoxin." In Plant-Microbe Interactions, 94–123. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6019-7_5.
Повний текст джерелаKono, Y. "Structural Studies on Host-Specific Pathotoxins in Corn Blight and Citrus Brown Spot Diseases." In Phytotoxins and Plant Pathogenesis, 7–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-73178-5_2.
Повний текст джерелаGrondeau, C., V. Cerceau, C. Bureau, and R. Samson. "Evidence that Acidovorax valerianellae, Bacterial Black Spot of Corn Salad (Valerianella locusta) Agent, is Soil Transmitted." In Pseudomonas syringae and related pathogens, 89–91. Dordrecht: Springer Netherlands, 2003. http://dx.doi.org/10.1007/978-94-017-0133-4_9.
Повний текст джерела"Tar Spot (Rhytisma sp.)." In Fungipedia, 158–65. Princeton University Press, 2019. http://dx.doi.org/10.1515/9780691195384-019.
Повний текст джерела"Tak ing Re spon si bil ity for Re cord ing Grades." In Classroom Management Simplified, 141–44. Routledge, 2014. http://dx.doi.org/10.4324/9781315855233-36.
Повний текст джерелаТези доповідей конференцій з теми "Tar spot of corn"
Ahmad, Aanis, Varun Aggarwal, Dharmendra Saraswat, Aly El Gamal, and Guri Johal. "Deep Learning-Based Disease Identification and Severity Estimation Tool for Tar Spot in Corn." In 2022 Houston, Texas July 17-20, 2022. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2022. http://dx.doi.org/10.13031/aim.202201193.
Повний текст джерелаOh, Sungchan, Da-Young Lee, Carlos Gongora-Canul, Andres Cruz-Sancan, Akash Ashapure, Mariela Fernandez, Darcy Telenko, Jinha Jung, and Christian Cruz. "Estimation of Visual Rating of TAR Spot Disease of Corn Using Unmanned Aerial Systems (UAS) Data and Machine Learning Techniques." In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020. http://dx.doi.org/10.1109/igarss39084.2020.9324331.
Повний текст джерелаLipps, Patrick E. "Gray Leaf Spot of Corn." In Proceedings of the 1992 Crop Production and Protection Conference. Iowa State University, Digital Press, 1995. http://dx.doi.org/10.31274/icm-180809-487.
Повний текст джерелаRobertson, Alison. "Corn diseases of 2014: Northern corn leaf blight, Physoderma brown spot, ear and stalk rots." In Proceedings of the 24th Annual Integrated Crop Management Conference. Iowa State University, Digital Press, 2014. http://dx.doi.org/10.31274/icm-180809-154.
Повний текст джерелаShi, Yunye, Diego M. Yepes Maya, Regis Nascimento, Tejasvi Sharma, Albert Ratner, and Electo E. Silva Lora. "Experimental and Simulation Studies of Corn Kernel Gasification in a Double Air Stage Downdraft Reactor." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88010.
Повний текст джерелаBaliyan, Anupam, Vinay Kukreja, Vikas Salonki, and Kuldeep Singh Kaswan. "Detection of Corn Gray Leaf Spot Severity Levels using Deep Learning Approach." In 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). IEEE, 2021. http://dx.doi.org/10.1109/icrito51393.2021.9596540.
Повний текст джерелаShi, Yunye, Tejasvi Sharma, Guiyan Zang, and Albert Ratner. "Biomass Gasification in a Pilot-Scale Gasifier." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-38958.
Повний текст джерелаZhu, JingFu, and BaiYi Zhang. "Corn leaf disease spot recognition comparative study of Bayesian classification and fuzzy pattern recognition." In Third International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013), edited by Honghua Tan. SPIE, 2013. http://dx.doi.org/10.1117/12.2019660.
Повний текст джерелаMartinez, Jeannette C. "Modeling the potential for hot spot remediation to resistance in western corn rootworm (Diabrotica virgifera virgiferaLeConte)." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.112061.
Повний текст джерелаSharma, Tejasvi, Yunye Shi, Guiyan Zang, and Albert Ratner. "Analysis and Comparison of Biochar From Pilot Scale Downdraft Gasifier." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-52444.
Повний текст джерелаЗвіти організацій з теми "Tar spot of corn"
Telenko, Darcy, Martin Chilvers, Nathan Kleczewski, Daren Mueller, Dian Plewa, Alison Robertson, Damon Smith, Adam Sisson, Albert Tenuta, and Kiersten Wise. Tar Spot of Corn. United States: Crop Protection Network, December 2020. http://dx.doi.org/10.31274/cpn-20201214-2.
Повний текст джерелаWise, Kiersten, and Purdue Extension. Corn Disease Management: Tar Spot. United States: Crop Protection Netework, February 2019. http://dx.doi.org/10.31274/cpn-20190620-008.
Повний текст джерелаTelenko, D. E. P., M. I. Chilvers, N. Kleczewski, D. L. Smith, A. M. Byrne, P. Devillez, T. Diallo, et al. How Tar Spot of Corn Impacted Hybrid Yields During the 2018 Midwest Epidemic. Ames, IA: Iowa State University Digital Repository, July 2019. http://dx.doi.org/10.31274/cpn-20190729-002.
Повний текст джерелаTelenko, Darcy, Martin Chilvers, Alison Robertson, Albert Tenuta, and Damon Smith. Will a Second Fungicide be Worth the Cost for Tar Spot Management? Ames (Iowa): Iowa State University. Library, August 2021. http://dx.doi.org/10.31274/cpn-20210820-1.
Повний текст джерелаRobertson, Alison, Dan Schaben, and John Beckman. Effectiveness of Foliar Fungicides by Timingon Gray Leaf Spot on Hybrid Corn. Ames: Iowa State University, Digital Repository, 2018. http://dx.doi.org/10.31274/farmprogressreports-180814-1911.
Повний текст джерелаRobertson, Alison, and Myron Rees. Effectiveness of Foliar Fungicides by Timingon Gray Leaf Spot on Hybrid Corn. Ames: Iowa State University, Digital Repository, 2018. http://dx.doi.org/10.31274/farmprogressreports-180814-1931.
Повний текст джерелаPayment Systems Report - June of 2021. Banco de la República, February 2022. http://dx.doi.org/10.32468/rept-sist-pag.eng.2021.
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