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GABRIELA DEL CARMEN VAZQUEZ GOMEZ (2023, [Tesis de maestría])
BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA MOLECULAR BIOLOGÍA MOLECULAR DE PLANTAS BIOLOGÍA MOLECULAR DE PLANTAS
ELIANA VALENCIA LOZANO LISSET HERRERA ISIDRON Osiel Salvador Recoder-Meléndez Aarón Barraza Celis JOSE LUIS CABRERA PONCE (2022, [Artículo])
"Potato microtuber (MT) development through in vitro techniques are ideal propagules for producing high quality potato plants. MT formation is influenced by several factors, i.e., photoperiod, sucrose, hormones, and osmotic stress. We have previously developed a protocol of MT induction in medium with sucrose (8% w/v), gelrite (6g/L), and 2iP as cytokinin under darkness. To understand the molecular mechanisms involved, we performed a transcriptome-wide analysis. Here we show that 1715 up- and 1624 down-regulated genes were involved in this biological process. Through the protein–protein interaction (PPI) network analyses performed in the STRING database (v11.5), we found 299 genes tightly associated in 14 clusters. Two major clusters of up-regulated proteins fundamental for life growth and development were found: 29 ribosomal proteins (RPs) interacting with 6 PEBP family members and 117 cell cycle (CC) proteins. The PPI network of up-regulated transcription factors (TFs) revealed that at least six TFs–MYB43, TSF, bZIP27, bZIP43, HAT4 and WOX9–may be involved during MTs development. The PPI network of down-regulated genes revealed a cluster of 83 proteins involved in light and photosynthesis, 110 in response to hormone, 74 in hormone mediate signaling pathway and 22 related to aging."
transcriptome-wide analysis, microtubers, potato, Solanum tuberosum, darkness, cell cycle, ribosomal proteins, PEBP family genes, cytokinin BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA GENÉTICA GENÉTICA MOLECULAR DE PLANTAS GENÉTICA MOLECULAR DE PLANTAS
JUAN LEODEGARIO GARCIA ROJAS Edson Estrada (2016, [Documento de trabajo])
Se presentan los resultados obtenidos en la asistencia técnica brindada a la Comisión Estatal del Agua de Baja California, a través del Instituto Estatal del Agua, así como las recomendaciones hechas.
Tratamiento de lodos Tratamiento biológico Plantas de tratamiento Capacitación INGENIERÍA Y TECNOLOGÍA
JOHANN D. CRESPO ZAPATA STEVE MALDONADO SILVESTRINI William Gould (2023, [Artículo])
El género Capsicum incluye cinco especies domesticadas cuyos frutos constituyen parte fundamental de la gastronomía tradicional de diferentes culturas. En países de habla hispana se les conoce comúnmente como chiles, pimientos, ajíes y/o guindillas. En particular, Capsicum chinense es una especie de amplio cultivo y consumo en la isla de Puerto Rico, pero esta no se encuentra reportada en los listados florísticos y literatura botánica pertinentes a la región. Investigamos la presencia de Capsicum chinense en Puerto Rico, y presentamos los primeros registros botánicos y ejemplares de herbario de la isla.
AJI DULCE COLECTAS BOTANICAS EJEMPLARES DE HERBARIO PLANTAS EN CULTIVO REGISTROS BOTANICOS BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA VEGETAL (BOTÁNICA) ECOLOGÍA VEGETAL ECOLOGÍA VEGETAL
Rust research to enhance resistance durability
sridhar bhavani (2022, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RUSTS DISEASE RESISTANCE SPRING WHEAT GENETIC DIVERSITY (AS RESOURCE) ADULT PLANT RESISTANCE
sridhar bhavani (2022, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RUSTS DISEASE RESISTANCE WHEAT GENETIC DIVERSITY (AS RESOURCE) ADULT PLANT RESISTANCE
Rust research to enhance resistance durability
sridhar bhavani (2023, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA RUSTS DISEASE RESISTANCE SPRING WHEAT GENETIC DIVERSITY (AS RESOURCE) ADULT PLANT RESISTANCE
Enhancement of plant variety protection and regulation using molecular marker technology
Yunbi Xu Jian Zhang Jiansheng LI (2022, [Artículo])
Plant Variety Protection Distinctness-Uniformity-Stability Essentially Derived Variety Molecular Markers Molecular Diagnostics Genetic Similarity CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GENETICS GENETIC MARKERS PLANT BREEDING VARIETIES
Samad Ashrafi Abdelfattah DABABAT Maria Finckh Marc Stadler Wolfgang Maier (2023, [Artículo])
Plant Parasitic Nematodes Nematode's Egg Parasites CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA ENDOPHYTES NEMATOPHAGOUS FUNGI NEW SPECIES PHYLOGENY PLANT NEMATODES TAXONOMY
Using Observed Residual Error Structure Yields the Best Estimates of Individual Growth Parameters
Marcelo Vidal Curiel Bernal EUGENIO ALBERTO ARAGON NORIEGA MIGUEL ANGEL CISNEROS MATA LAURA SANCHEZ VELASCO SYLVIA PATRICIA ADELHEID JIMENEZ ROSENBERG ALEJANDRO FRANCISCO PARES SIERRA (2021, [Artículo])
"Obtaining the best possible estimates of individual growth parameters is essential in studies of physiology, fisheries management, and conservation of natural resources since growth is a key component of population dynamics. In the present work, we use data of an endangered fish species to demonstrate the importance of selecting the right data error structure when fitting growth models in multimodel inference. The totoaba (Totoaba macdonaldi) is a fish species endemic to the Gulf of California increasingly studied in recent times due to a perceived threat of extinction. Previous works estimated individual growth using the von Bertalanffy model assuming a constant variance of length-at-age. Here, we reanalyze the same data under five different variance assumptions to fit the von Bertalanffy and Gompertz models. We found consistent significant differences between the constant and nonconstant error structure scenarios and provide an example of the consequences using the growth performance index _0 to show how using the wrong error structure can produce growth parameter values that can lead to biased conclusions. Based on these results, for totoaba and other related species, we recommend using the observed error structure to obtain the individual growth parameters."
multimodel inference, error structure, totoaba, growth performance BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOLOGÍA ANIMAL (ZOOLOGÍA) FISIOLOGÍA ANIMAL FISIOLOGÍA ANIMAL