Resultados de búsqueda - ZENIT~

Identifcation of quantitative trait loci for salinity tolerance in rice (Oryza sativa L.) through Sahel 328/NERICA‑L‑9 mapping population at seedling stage por Sock, M., Diouf, D., Amoah, N.K.A, Bok‑Lee, S., Manneh, B., Bimpong, I.B.

“…About 4684 informative SNPs and 230 lines were used to construct the genetic linkage map. Twenty quantitative trait loci (QTLs) with LOD>3 that were related to SIS, root length, and shoot length were identified in this study. …”
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Knowledge products emanating from community-based breeding programs are integrated into animal science programs in institutions of higher learning por Belay, Berhanu, Haile, Aynalem, Mourad, Rekik, Getachew, Tesfaye, Rischkowsky, Barbara

“…It pools the village's small ruminant flock, measures and records performance and pedigree data, and conducts genetic evaluation. The program has led to tangible achievements, such as improved productivity, increased farmers' income, and enhanced family food security. …”
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Diurnal changes in transcript and metabolite levels during the iron deficiency response of rice por Selby-Pham, Jamie, Lutz, Adrian, Moreno-Moyano, Laura T., Boughton, Berin, A., Roessner, Ute, Johnson, Alexander A. T.

“…This study complements previous studies on the genetic changes in response to Fe deficiency in rice and constitutes an important advance towards our understanding of the molecular mechanisms underlying the rice Fe deficiency response.…”
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Marker assisted introgression of bacterial blight resistant gene into submergence tolerance rice variety BRRI dhan52 por Kabir, M. E., Iftekharuddaula, K. M., Khan, M. A. I., Mian, M. A. K., Ivy, N. A.

“…BRRI dhan52 is a uniquire submergence tolerant rice variety containing prominant genetic background of BR11, a mega rainfed lowland rice (RLR) variety of Bangladesh, but is susceptible to bacterial blight (BB) caused by Xanthomonas oryzae pv. oryzae (Xoo). …”
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Genomic prediction of zinc-biofortification potential in rice gene bank accessions por Rakotondramanana, Mbolatantely, Tanaka, Ryokei, Pariasca-Tanaka, Juan, Stangoulis, James, Grenier, Cécile, Wissuwa, Matthias

“…Biofortified rice varieties with increased grain Zn concentrations would offer a solution and our objective is to explore the genotypic variation present among rice gene bank accessions and to possibly identify underlying genetic factors through genomic prediction and genome-wide association studies (GWAS). …”
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Prediction of pulse suitability in rice fallow areas using fuzzy AHP-based machine learning methods in Eastern India por Sahoo, Satiprasad, Singha, Chiranjit, Govind, Ajit

“…By using machine learning techniques such as shrinkage discriminant analysis (SDA), neural network (nnet), random forest (RF), Naive Bayes (NB), rule-based C5.0, genetic algorithm (GA), and particle swarm optimization (PSO), it was found that moderate suitability zones were visible in some areas of Murshidabad, Birbhum, Paschim Bardhaman, Paschim Medinipur, and Purulia. …”
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Accuracy of farmer-generated yield estimations of common bean in decentralised on-farm trials in sub–Saharan Africa por Nabateregga, Mabel, Dorado-Betancourt, Hugo, Ø Solberg, Svein, Van Etten Etten, Jacob, van Heerwaarden, Joost, Gregory, Theresia, De Sousa, Kaue

“…However, the methodology has strongly relied on farmer-generated rankings, which provide relative performance insights but fall short in informing breeders with absolute yield data, limiting the ability to measure genetic gain or assess economic returns on breeding investments. …”
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A retrospective analysis of maize performance under low nitrogen stress conditions in sub-Saharan Africa por Gokoma, S., Kamutando, C.N., Siwela, M., Derera, J.

“…This study aimed to: 1) Investigate the relationship between grain yield under low N and optimal conditions; and 2) Establish the level of variability in low N tolerance among elite Eastern and Southern African (ESA) maize varieties. …”
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Adoption without gains, and vice-versa: Exploring the disconnect between improved bean varieties and yield in Central America and Haiti through the lens of seed systems por Reyes, Byron, Maredia, Mywish K., Martínez, José María, Gomez, Lorena, Rosas, Juan Carlos, Miranda, Angela

“…Significance: Adoption alone is not a sufficient metric of success. Ensuring genetic integrity, local adaptation of varieties, and effective delivery systems is critical for translating research investment into yield benefits. …”
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Process-based modeling framework for sustainable irrigation management at the regional scale: integrating rice production, water use, and greenhouse gas emissions por Bo, Yan, Liang, Hao, Li, Tao, Zhou, Feng

“…Here, we propose an advancing framework that addresses these problems by integrating a process-based soil–crop model with vital physiological effects, a novel method for model upscaling, and the non-dominated sorting genetic algorithm II (NSGA-II) multi-objective optimization algorithm at a parallel computing platform. …”
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Estimation of genome-wide patterns of homozygosity, heterozygosity and inbreeding in crossbred dairy cattle population in Pakistan por Un Nisa, F., Usman, M., Ali, A., Ali, M.B., Kaul, H., Asif, M., Mrode, Raphael A., Mukhtar, Z.

“…These findings may provide valuable insights into the understanding of genome-wide homozygosity and heterozygosity patterns and genetic architecture of the Pakistani crossbred cattle.…”
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Unlocking Dolichos bean diversity in the National Genebank: Morphological characterization and core set development to optimize its conservation and utilization por Mohapatra, K.P., Sarkar, Suresh, Kumar, Saurabh, Ramya, K.R., Tripathi, Kuldeep, Chandra, Puran, Gore, Padmavati G., Gautam, R.K., Pranusha, P., Anitha, K., Rana, Jai Chand, Singh, G.P.

“…It has great scope in food and cosmetic, pharmaceutical, nutraceutical, and dairy industries also. Harnessing genetic diversity is crucial for enhancing its productivity. …”
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Genomic prediction powered by multi-omics data por Montesinos-Lopez, Osval Antonio, Montesinos-Lopez, Abelardo, Mosqueda González, Brandon Alejandro, Delgado-Enciso, Iván, Chavira-Flores, Moises, Crossa, Jose, Dreisigacker, Susanne, Sun, Jin, Ortiz, Rodomiro

“…Overall, this work highlights both the value and limitations of multi-omics integration for genomic prediction and offers practical insights into the design of omics-informed selection strategies for accelerating genetic gain in plant breeding programs.…”
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Nutritional and industrial quality assessment of Spanish durum wheat commercial cultivars por Garcia-Calabres, Virginia, Andrade, Francisco, Tabbita, Facundo, Castilla, Alejandro, Sillero, Josefina Carmen, Hernandez-Espinosa, Nayelli, Ibba, Maria Itria, Guzman, Carlos, Alvarez, Juan B.

“…This study also highlights the importance of searching for arabinoxylan donors due to the limited genetic variability for this trait in commercial durum wheat cultivars.…”
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Public-private partnerships for seed industry development in developing countries: Lessons from MasAgro maize in Mexico por Dominguez, Ciro, Srinivasan, Chittur S., Silva Hinojosa, Arturo, López-Becerri, IIraís Dámaris, Donnet, M. Laura, Zanello, Giacomo, Burgueño, Juan

“…Public-private partnerships (PPPs) are globally recognized for their potential to accelerate genetic improvement and delivery of new high-yielding seed varieties in developing countries. …”
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High-throughput phenotyping discovers new stable loci controlling senescence rate in bread wheat por Li, Lei, Liu, Jindong, Hassan, Muhammad Adeel, Wang, Duoxia, Wang, Keyi, Fei, Shuaipeng, Zeng, Jianqi, Rasheed, Awais, Xia, Xianchun, He, Zhonghu, He, Yong, Zhang, Yong, Xiao, Yonggui

“…Non-destructive time-series assessment of chlorophyll content in flag-leaf (FLC) accurately mimics the senescence rate and the identification of genetic loci associated with senescence provides valuable knowledge to improve yield stability under stressed environments. …”
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50-Years of hybrid pigeonpea research and development: The gains and hiccups por Saxena, K.B., Choudhary, A.K., Dalvi, V.A., Saxena, R.K., Kumar, R.V., Chauhan, Y.S., Srivastava, R.K., Kumar, C.V.S., Hingane, A.J., Gangashetty, P., Sultana R., Srivastava, N.

“…To realize the true value of hybrids and commercialize them, a strong seed quality control system is necessary. Traditionally, the genetic truthfulness of hybrid seeds is assessed through a standard “Grow-out Test (GoT)”. …”
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Enhancing the prediction accuracy of groundnut yield by integrating significant markers and modeling genotype × environment interaction por Lubanga, Nelson, Okaron, Velma, Gimode, Davis M., Persa, Reyna, Mwololo, James, Okello, David K., Ssemakula, Mildred Ochwo, Odong, Thomas L., Abincha, Wilfred, Odeny, Damaris A., Jarquin, Diego

“…Integrating significant markers and modeling G × E in GP models could be an effective approach in groundnut breeding programs to accelerate genetic gains.…”
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CIFOR - a newcomer to CGIAR por Persson, R.

“…There are 6 core research projects: (1) causes of deforestation, forest degradation and changes in human welfare; (2) multiple resource management of natural resources; (3) plantation forestry on degraded or low potential sites; (4) conservation of biodiversity and genetic resources; (5) sustainable use and development of forest products by forest-dependent communities; and (6) local people, devolution and adaptive co-management of forests. …”
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Branch xylem density variations across the Amazon Basin por Patino, S., Lloyd, J., Paiva, R., Baker, T.R., Quesada, C.A., Mercado, L. M., Schmerler, J., Schwarz, M., Santos, A. J. B., Aguilar, A., Czimczik, C. I., Gallo, J., Horna, V., Hoyos, E.J., Jiménez, E.M., Palomino, W., Peacock, J., Pena-Cruz, A., Sarmiento, C., Sota, A., Turriago, Juan David, Villanueva, B., Vitzthum, P., Álvarez, E., Arroyo, L., Baraloto, C., Bonal, D., Chaves, J., Costa, A.C.L., Herrera, R., Higuchi, N., Killeen, T., Leal, E., Luizao, F., Meir, P., Monteagudo, A., Neil, D., Nunez-Vargas, P., Penuela, M. C., Pitman, N., Priante, N., Prieto, A., Panfil, S. N., Rudas, A., Salomão, R., Silva, J.N.M., Silveira, M., Almeida, S.S. de, Torres Lezama, A., Vásquez Martinez, R., Vieira, I., Malhi, Y., Phillips, Oliver L.

“…Thus, as well as having a genetic component, branch xylem density is a plastic trait that, for any given species, varies according to where the tree is growing in a predictable manner. …”
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