Resultados de búsqueda - "M"

  1. A simple algorithm outperforms a machine learning approach for quantifying spittlebug damage in tropical grasses por Ruiz-Hurtado, Andres Felipe, Espitia, Paula, Cardoso, Juan Andres, Jauregui, Rosa Noemi

    Publicado 2024
    “…Precise and efficient quantification of spittlebug damage is crucial for evaluation and selection of resistant and tolerant genotypes in the Urochloa spp. and M. maximus breeding programmes at CIAT. Traditional methods rely on visual inspection by experts, which is a time-consuming and resource-intensive process. …”
    Enlace del recurso
    Póster
  2. RGB Image Dataset of Urochloa Hybrids for High-Throughput Phenotyping and Artificial Intelligence Applications por Arrechea-Castillo, Darwin Alexis, Espitia Buitrago, Paula Andrea, Florian Vargas, David Alberto, Estupinan Arboleda, Ronald David, Velazquez Hernandez, Riquelmer, Camelo Munevar, Rodrigo Andres, Cardoso Arango, Juan Andres

    Publicado 2024
    “…In the updated dataset, raceme counts reach as high as 1,586 in a similar area (~1m²), nearly doubling the count. This increase leads to a much higher degree of raceme overlap. …”
    Enlace del recurso
    Conjunto de datos
  3. Molecular markers help with breeding for agronomic traits of spring wheat in Kazakhstan and Siberia por Morgounov, Alexey, Babkenov, Adylkhan, Ben, Cécile, Chudinov, Vladimir, Dolinny, Yuriy, Dreisigacker, Susanne, Fedorenko, Elena, Gentzbittel, Laurent, Rasheed, Awais, Savin, Timur, Shepelev, Sergey, Zhapayev, Rauan, Shamanin, Vladimir

    Publicado 2024
    “…The average grain yield of individual trials varied from 118 to 569 g/m2. Grain yield was positively associated with the number of days to heading, plant height, number of grains per spike and 1000-kernel weight. …”
    Enlace del recurso
    Journal Article
  4. Implications of bulk water transfer on local water management institutions: A case study of the Melamchi Water Supply Project in Nepal por Pant, Dhruba, Bhattarai, Madhusudan, Basnet, Govinda

    Publicado 2008
    “…In the first phase, the Project will divert 170,000 cubic meters of water per day (at the rate of 1.97M3/sec), which will be tripled using the same infrastructure as city water demand increases in the future. …”
    Enlace del recurso
    Artículo preliminar
  5. Evaluacion preliminar de los tamaños de muestra para la evaluación del Programa de Educacion, Salud y Alimentacion (PROGRESA) por Behrman, Jere R., Todd, Petra E.

    Publicado 1999
    “…Para efectos de evaluación, desde el inicio del Programa se reconoció la importancia de recabar información de buena calidad; así en marzo de 1998, se levantó una encuesta (ENCEL98M) *, que proporciona la información de la línea basal y refleja las condiciones socioeconómicas de la población previas al inicio del Programa. …”
    Enlace del recurso
    Artículo preliminar
  6. Characterization of a 4.1 Mb inversion harboring the stripe rust resistance gene YR86 on wheat chromosome 2AL por Qiang Cao, Zhanwang Zhu, Dengan Xu, Jianhui Wu, Xiaowan Xu, Yan Dong, Yingjie Bian, Fugong Ding, Dehui Zhao, Yang Tu, Ling Wu, Dejun Han, Caixia Lan, Xianchun Xia, Zhonghu He, Yuanfeng Hao

    Publicado 2024
    “…Normal recombination was observed in a Jimai 22/Zhongmai 895 F2 population, facilitating mapping of YR86 to a genetic interval of 0.15 cM corresponding to 710.27–712.56 Mb falling within the inverted region. …”
    Enlace del recurso
    Journal Article
  7. Evaluation of elite rice lines for resistance to Kenya blast fungus (Magnapothe Oryzae) por Juma, Roselyne U., Murori, Rosemary, Felister N, Mbute, Miano, Douglas W., Cobb, Joshua N.

    Publicado 2024
    “…Seven genotypes (IR12A311, IR10M210, IR74, 1R02A127, IR09A130, R66 and IR10N230) were more susceptible, IR13N152 and IR14F711 were more resistant to all Isolates. …”
    Enlace del recurso
    Journal Article
  8. Cyperus iria weed growth, survival, and fecundity in response to varying weed emergence times and densities in dry-seeded rice systems por Awan, Tahir Hussain, Ali, Hafiz Haider, Chauhan, Bhagirath Singh

    Publicado 2022
    “…Field studies were conducted over two seasons (wet (WS) and dry seasons (DS)) to investigate the influence of C. iria populations (40 and 80 plants m−2) on its growth, survival, and fertility, with four emergence times, 3, 15, 30, and 45 d after rice emergence (DARE), during 2013. …”
    Enlace del recurso
    Journal Article
  9. Closer vein spacing by ectopic expression of nucleotide-binding and leucine-rich repeat proteins in rice leaves por Lo, Shuen-Fang, Chatterjee, Jolly, Biswal, Akshaya K., Liu, I.-Lun, Chang, Yu-Pei, Chen, Pei-Jing, Wanchana, Samart, Elmido-Mabilangan, Abigail, Nepomuceno, Robert A., Bandyopadhyay, Anindya, Hsing, Yue-ie, Quick, William Paul

    Publicado 2022
    “…Overexpression of the twoNB-LRRgenes individually in rice recapitulates the high VD phenotype, due mainly to reduced interveinal mesophyll cell (M cell) number, length, bulliform cell size and thus interveinal distance. …”
    Enlace del recurso
    Journal Article
  10. Genetic mapping and validation of quantitative trait loci (QTL) for the grain appearance and quality traits in rice (Oryza sativa L.) by using recombinant inbred line (RIL) populat... por Bazrkar-Khatibani, Leila, Fakheri, Barat-Ali, Hosseini-Chaleshtori, Maryam, Mahender, Anumalla, Mahdinejad, Nafiseh, Ali, Jauhar

    Publicado 2019
    “…A linkage map with 65 polymorphic SSR markers was constructed, which covered 1517.32 cM of the rice genome. A total of seven QTLs were identified on four chromosomes, 1, 6, 9, and 12, associated with four traits, which are explained by the total phenotypic variation of 44.27% and LOD score of 32.77 in 2014 and 2015, respectively. …”
    Enlace del recurso
    Journal Article
  11. Dissection of broad-spectrum resistance of the Thai rice variety Jao Hom Nin conferred by two resistance genes against rice blast por Chaipanya, Chaivarakun, Telebanco-Yanoria, Mary Jeanie, Quime, Berlaine, Longya, Apinya, Korinsak, Siripar, Korinsak, Siriporn, Toojinda, Theerayut, Vanavichit, Apichart, Jantasuriyarat, Chatchawan, Zhou, Bo

    Publicado 2017
    “…Cluster analysis based on the disease reaction pattern of QTL1-C and QTL11-C, together with IRBLs, showed that those two monogenic lines were clustered with IRBLsh-S (Pish) and IRBL7-M (Pi7), respectively. Moreover, sequence analysis revealed that Pish and Pi7 were embedded within the QTL1 and QTL11 delimited genomic intervals, respectively. …”
    Enlace del recurso
    Journal Article
  12. Confirmation of chloride deficiency as the cause of leaf spotting in durum wheat grown in the Australian northern grains region por Schwenke, G.D., Simpfendorfer, S.R., Collard, B. C. Y.

    Publicado 2015
    “…In field experiments, additions of Cl– fertiliser as KCl at sowing provided no biomass or yield response from a range of wheat varieties, probably because the plants accessed sufficient Cl– from below 0.9 m depth in the soil. Chloride concentrations in whole-plant tissue sampled at head emergence suggested that unfertilised plants were borderline deficient in Cl– according to critical values established in North America. …”
    Enlace del recurso
    Journal Article
  13. Six-rowed spike4 (Vrs4) controls spikelet determinacy and row-type in barley por Koppolu, Ravi, Anwar, Nadia, Sakuma, Shun, Tagiri, Akemi, Lundqvist, Udda, Pourkheirandish, Mohammad, Rutten, Twan, Seiler, Christiane, Himmelbach, Axel, Ariyadasa, Ruvini, Youssef, Helmy Mohamad, Stein, Nils, Sreenivasulu, Nese, Komatsuda, Takao, Schnurbusch, Thorsten

    Publicado 2013
    “…Expression analyses through mRNA in situ hybridization and microarray showed that Vrs4 ( HvRA2 ) controls the row-type pathway through Vrs1 ( HvHox1 ), a negative regulator of lateral spikelet fertility in barley. …”
    Enlace del recurso
    Journal Article

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