Resultados de búsqueda - Sequani~

High-throughput phenotyping using hyperspectral indicators supports the genetic dissection of yield in durum wheat grown under heat and drought stress por Mérida-García, Rosa, Gálvez, Sergio, Solís, Ignacio, Martínez-Moreno, Fernando, Camino, Carlos, Soriano, Jose Miguel, Sansaloni, Carolina P., Ammar, Karim, Bentley, Alison R., Gonzalez-Dugo, Victoria, Zarco-Tejada, Pablo J., Hernandez, Pilar

“…A panel of 536 durum wheat lines were genotyped by sequencing (GBS, DArTseq) to determine population structure, revealing a lack of genetic structure in the breeding germplasm. …”
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Deciphering the genetic basis of agronomic, yield, and nutritional traits in rice (Oryza sativa L.) using a saturated GBS-based SNP linkage map por Calayugan, Mark Ian C., Hore, Tapas Kumer, Palanog, Alvin D., Amparado, Amery, Inabangan-Asilo, Mary Ann, Joshi, Gaurav, Chintavaram, Balachiranjeevi, Swamy, B.P. Mallikarjuna

“…Two populations of recombinant inbred lines consisting of 373 lines were phenotyped for agronomic, yield and grain micronutrient traits for three seasons at IRRI, and genotyped by sequencing. Most of the traits demonstrated moderate to high broad-sense heritability. …”
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The Plant Genome special section: Grain quality and nutritional genomics for breeding next‐generation crops por Pandey, Manish K., Mir, Reyazul Rouf, Sreenivasulu, Nese

“…The strategy for improving grain quality and nutritional traits in breeding programs has been prioritized with the recent advancements in phenotyping of seeds and grains (metabolomics, mineral and vitamins, assessing the quality of starch, proteins and lipids, and capturing consumer preferred traits), sequencing technologies to do high-throughput genotyping, functional genomics aided gene discovery, high-resolution trait mapping and superior haplotype discovery, as well deploying genomic selection tools in a variety of crops (Pandey et al., 2016; Varshney et al., 2019). …”
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Resistance and susceptibility QTL identified in a rice MAGIC population by screening with a minor-effect virulence factor from Xanthomonas oryzae pv. oryzae por Huerta, Alejandra I., Delorean, Emily E., Bossa‐Castro, Ana M., Tonnessen, Bradley W., Raghavan, Chitra, Corral, Rene, Pérez‐Quintero, Álvaro L., Leung, Hei, Verdier, Valérie, Leach, Jan E.

“…Of these, 21 showed polymorphisms in the predicted effector binding element (EBE) site and 23 lost the EBE sequence altogether. Inoculation and bioinformatics studies suggest that the Tal7b target in one of the Tal7b-specific QTL, qBB-tal7b-8, is a disease susceptibility gene and that the resistance mechanism for this locus may be through loss of susceptibility. …”
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Flood resilience loci SUBMERGENCE 1 and ANAEROBIC GERMINATION 1 interact in seedlings established underwater por Alam, Rejbana, Hummel, Maureen, Yeung, Elaine, Locke, Anna M., Ignacio, John Carlos I., Baltazar, Miriam D., Jia, Zhenyu, Ismail, Abdelbagi M., Septiningsih, Endang M., Bailey-Serres, Julia

“…By contrast, pyramiding of the AG1 and SUB1 slows elongation growth, the transition to photoautotrophy, and survival. mRNA‐sequencing highlights time‐dependent and genotype‐specific regulation of mRNAs associated with DNA repair, cell cycle, chromatin modification, plastid biogenesis, carbohydrate catabolism and transport, elongation growth, and other processes. …”
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Assessing trait contribution and mapping novel QTL for salinity tolerance using the Bangladeshi rice landrace Capsule por Rahman, M. Akhlasur, Thomson, Michael J., De Ocampo, Marjorie, Egdane, James A., Salam, M.A., Shah-E-Alam, M., Ismail, Abdelbagi M.

“…These 94 plants were genotyped for 105 simple sequence repeat (SSR) and insertion/deletion (InDel) markers. …”
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Genetic dissection of developmental responses of agro-morphological traits under different doses of nutrient fertilizers using high-density SNP markers por Mahender, Anumalla, Ali, Jauhar, Prahalada, G.D., Sevilla, Ma Anna Lynn, Balachiranjeevi, C.H., Md, Jamaloddin, Maqsood, Umer, Li, Zhikang

“…The genotypic data from single-nucleotide polymorphism (SNP) markers from Tunable Genotyping-By-Sequencing (tGBS) and phenotypic values were used for locating the genomic regions conferring NuUE. …”
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Genome Wide Association mapping of grain and straw biomass traits in the rice Bengal and Assam Aus Panel (BAAP) grown under alternate wetting and drying and permanently flooded irr... por Norton, Gareth J., Travis, Anthony J., Douglas, Alex, Fairley, Susan, Alves, Eduardo De Paiva, Ruang-areerate, Panthita, Naredo, Ma. Elizabeth B., McNally, Kenneth L., Hossain, Mahmud, Islam, Md. Rafiqul, Price, Adam H.

“…A new rice panel, the Bengal and Assam Aus Panel (BAAP) of 266 aus accessions was generated with~2 million informative SNPs obtained using skim sequencing at ~4x depth. The BAAP was grown in the field in Bangladesh in the ‘boro’ season under both continuously flooded and Alternate Wetting and Drying (AWD) irrigation during 2013 and 2014 in Mymensingh and during 2014 in Madhupur. …”
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Loci and natural alleles underlying robust roots and adaptive domestication of upland ecotype rice in aerobic conditions por Zhao, Yan, Zhang, Hongliang, Xu, Jianlong, Jiang, Conghui, Yin, Zhigang, Xiong, Haiyan, Xie, Jianyin, Wang, Xueqiang, Zhu, Xiaoyang, Li, Yang, Zhao, Weipeng, Rashid, Muhammad Abdul Rehman, Li, Jinjie, Wang, Wensheng, Fu, Binying, Ye, Guoyou, Guo, Yan, Hu, Zhiqiang, Li, Zhikang, Li, Zichao

“…A robust (long and thick) root system is characteristic of upland japonica rice adapted to drought conditions. Using deep sequencing and large scale phenotyping data of 795 rice accessions and an integrated strategy combining results from high resolution mapping by GWAS and linkage mapping, comprehensive analyses of genomic, transcriptomic and haplotype data, we identified large numbers of QTLs affecting rice root length and thickness (RL and RT) and shortlisted relatively few candidate genes for many of the identified small-effect QTLs. …”
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RNA-Seq analysis reveals insight into enhanced rice Xa7-mediated bacterial blight resistance at high temperature por Cohen, Stephen P., Liu, Hongxia, Argueso, Cristiana T., Pereira, Andy, Vera Cruz, Casiana, Verdier, Valérie, Leach, Jan E.

“…Genes responsive to salicylic acid, an important plant hormone for disease resistance, were down-regulated by high temperature during both the susceptible and resistant interactions, suggesting that enhanced Xa7-mediated resistance at high temperature is not dependent on salicylic acid signaling. A DNA sequence motif similar to known abscisic acid-responsive cis-regulatory elements was identified in the promoter region upstream of genes up-regulated in susceptible but down-regulated in resistant interactions. …”
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Aluminum Resistance Transcription Factor 1(ART1) contributes to natural variation in aluminum resistance indiverse genetic backgrounds of rice (O. sativa) por Arbelaez, Juan D., Maron, Lyza G., Jobe, Timothy O., Piñeros, Miguel A., Famoso, Adam N., Rebelo, Ana Rita, Singh, Namrata, Ma, Qiyue, Fei, Zhangjun, Kochian, Leon V., McCouch, Susan R.

“…The mapping parents, Al‐resistant cv Azucena (tropical japonica) and Al‐sensitive cv IR64 (indica), have extensive sequence polymorphism within the ART1 coding region, but similar ART1 expression levels. …”
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Fine mapping of a quantitative trait locus for spikelet number per panicle in a new plant type rice and evaluation of a near-isogenic line for grain productivity por Sasaki, Kazuhiro, Fujita, Daisuke, Koide, Yohei, Lumanglas, Patrick D., Gannaban, Ritchel B., Tagle, Analiza G., Obara, Mitsuhiro, Fukuta, Yoshimichi, Kobayashi, Nobuya, Ishimaru, Tsutomu

“…Fine mapping of qTSN12.2 revealed six candidate genes in a 92-kb region of the Nipponbare reference genome sequence between flanking markers RM28746 and RM28753. …”
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Rice Pi5-mediated resistance to Magnaporthe oryzae requires the presence of two coiled-coil-nucleotide-binding-leucine-rich repeat genes por Lee, Sang-Kyu, Song, Min-Young, Seo, Young-Su, Kim, Hye-Kyung, Ko, Seho, Cao, Pei-Jian, Suh, Jung-Pil, Yi, Gihwan, Roh, Jae-Hwan, Lee, Sichul, An, Gynheung, Hahn, Tae-Ryong, Wang, Guo-Liang, Ronald, Pamela, Jeon, Jong-Seong

“…Genetic and phenotypic analyses of 2014 F2 progeny from a mapping population derived from a cross between IR50, a susceptible rice cultivar, and the RIL260 line carrying Pi5 enabled us to narrow down the Pi5 locus to a 130-kb interval. Sequence analysis of this genomic region identified two candidate genes, Pi5-1 and Pi5-2, which encode proteins carrying three motifs characteristic of R genes: an N-terminal coiled-coil (CC) motif, a nucleotide-binding (NB) domain, and a leucine-rich repeat (LRR) motif. …”
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Community-based conservation strategies for wild edible plants in Turkana County, Kenya por Oduor, Francis, Kaindi, Dasel Mulwa, Abong, George, Thuita, Faith, Termote, Céline

“…This study employed sequential qualitative methods to investigate community perceptions, conservation priorities for WEPs, barriers, and necessary actions in Turkana. …”
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Identification and validation of genomic regions influencing kernel zinc and iron in maize por Hindu, Vemuri, Palacios-Rojas, Natalia, Babu, Raman, Suwarno, Willy B., Rashid, Zerka, Usha, Rayalcheruvu, Saykhedkar, Gajanan R., Nair, Sudha K.

“…For GWAS, we evaluated a diverse maize association mapping panel of 923 inbred lines across three environments and detected trait associations using high-density Single nucleotide polymorphism (SNPs) obtained through genotyping-by-sequencing. Phenotyping trials of the GWAS panel showed high heritability and moderate correlation between kernel-Zn and Fe concentrations. …”
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Famine and food insecurity in Ethiopia por von Braun, Joachim, Olofinbiyi, Tolulope

“…The question of policy and program choice and sequencing arise in determining the optimal program mix for mitigating and preventing famine. …”
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Analysis of farmers’ behaviour towards purchase of improved sweetpotato vines in Uganda: An application of the AIDA model por Otieno, D.J., Rajendran, S., Okello, J.J., Ogero, K., Feukeng, F.

“…Results show that contrary to theoretical expectation of a linear relationship and exact prediction of action from awareness, interest and desire, the baseline data only linked 47.6% of farmer behavior towards purchase of the improved sweetpotato vines to the sequential movement from awareness, interest and desire. …”
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Farmers' pesticide use, disposal behavior, and pre-harvest interval: A case study from Nigeria por Gurmui, Mesay Yami, Liverpool-Tasie, Lenis Saweda O., Richards, Maiwada, Wossen, Tesfamicheal, Falade, Titilayo, Oyinbo, Oyakhilomen, Yamauchi, Futoshi, Chamberlin, Jordan, Feleke, Shiferaw, Abdoulaye, Tahirou

“…To address this gap, we leveraged on data collected from 1556 tomato producers in Northern Nigeria to investigate the determinants of pesticide use behavior using a sequential-exploratory mixed-method approach. We examined a broader range of pest management-related practices than prior literature, including safety equipment usage, pesticide disposal methods, and adherence to pre-harvest intervals (PHIs)-, which is the intervals between the last pesticide application and the crop harvest. …”
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Genome-wide association studies of three-dimensional (3D) cassava root crowns and agronomic traits using partially inbred populations por Sunvittayakul, Pongsakorn, Wonnapinij, Passorn, Chanchay, Pornchanan, Wannitikul, Pitchaporn, Sathitnaitham, Sukhita, Phanthanong, Phongnapha, Changwitchukarn, Kanokpoo, Suttangkakul, Anongpat, Ceballos, Hernan, Gomez, Leonardo D, Kittipadakul, Piya, Vuttipongchaikij, Supachai

“…Phenotypic analysis of 130 partially inbred lines and their six parental lines from Thai commercial varieties revealed a range of root traits within populations showcasing robust correlations among various traits, particularly root size parameters and root weight. Genotyping-by-sequencing yielded a total of 29,361 SNP markers identified within the nuclear genome of cassava and shared across all genotypes. …”
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Vulnerable area identification of a coastal river basin of India using SWAT model por Mandal, U., Sena, Dipaka Ranjan, Kumar, Gopal, Roy, T., Singh, R. K., Madhu, M.

“…The SWAT model underwent calibration (2000-2007) and validation (2008-2012) using observed monthly average river discharge data from four gauging locations on the Subarnarekha and Budhabalanga hydrologic reaches. The sequential uncertainty fitting 2 (SUFI-2) framework with 22 parameters yielded model efficiencies (NSE) greater than 0.5 for all gauging locations in both periods. …”
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