Search Results - Neymar~

Near-Infrared Reflectance Spectrophotometry (NIRS) application in the amino acid profiling of Quality Protein Maize (QPM) by Alamu, Emmanuel Oladeji, Menkir, A., Adesokan, Michael, Fawole, S., Maziya-Dixon, Busie

“…The accurate quantification of amino acids in maize breeding programs is challenging due to the high cost of analysis using High-Performance Liquid Chromatography (HPLC) and other conventional methods. Using the Near-Infrared Spectroscopic (NIRS) method in breeding to screen many genotypes has proven to be a fast, cost-effective, and non-destructive method. …”
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Big data technology and near real-time production tracking to improve small-scale fisheries management by CGIAR Platform for Big Data in Agriculture

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Report from training of field lab officers on near-infrared spectroscopy for feed quality evaluation in Nepal by Prasad, Kodukula V.S.V.

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Food policies and their implications on overweight and obesity trends in selected countries in the Near East and North Africa region by Abay, Kibrom A., Ibrahim, Hosam, Breisinger, Clemens, Bayasgalanbat, Nomindelger

“…Regional and global trends in body weight show that the Near East and North Africa (NENA) region countries, especially the Gulf Cooperation Council (GCC) member countries, have the highest average body mass index and highest rates of overweight and obesity in the world. …”
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Use of low cost near‑infrared spectroscopy, to predict pasting properties of high quality cassava flour by Abubakar, M., Wasswa, P., Masumba, E., Ongom, P., Mkamilo, G., Kanju, E., Abincha, W., Edema, R., Sichalwe, K., Tukamuhabwa, P., Kayondo, S., Rabbi, I., Kulembeka, H.

“…Determination of pasting properties of high quality cassava flour using rapid visco analyzer is expensive and time consuming. The use of mobile near infrared spectroscopy (SCiO™) is an alternative high throughput phenotyping technology for predicting pasting properties of high quality cassava flour traits. …”
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Stem and leaf rust–induced miRNAome in bread wheat near-isogenic lines and their comparative analysis by Nair, Minu M., Kumar, S. Hari Krishna, Jyothsna, S., Sundaram, Krishna T., Manjunatha, C., Sivasamy, M., Alagu, Manickavelu

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The impact of climate change on the resistance of rice near-isogenic lines with resistance genes against brown planthopper by Kuang, Yun-Hung, Fang, Yu-Fu, Lin, Shau-Ching, Tsai, Shin-Fu, Yang, Zhi-Wei, Li, Charng-Pei, Huang, Shou-Horng, Hechanova, Sherry Lou, Jena, Kshirod K., Chuang, Wen-Po

“…Hence, we investigated the responses of rice near-isogenic lines (NILs) that carry resistance genes against brown planthopper (BPH) under different environmental conditions. …”
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Development and field evaluation of near-isogenic lines of GR2-EBRRI dhan29 golden rice by Biswas, Partha S., Swamy, B.P. Mallikarjuna, Kader, Md. Abdul, Hossain, Md. Alamgir, Boncodin, Raul, Samia, Mercy, Hassan, Md. Lutful, Wazuddin, M., MacKenzie, Donald, Reinke, Russell

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Gene expression responses to Rice tungro spherical virus in susceptible and resistant near-isogenic rice plants by Satoh, Kouji, Kondoh, Hiroaki, De Leon, Teresa B., Macalalad, Reena Jesusa A., Cabunagan, Rogelio C., Cabauatan, Pepito Q., Mauleon, Ramil, Kikuchi, Shoshi, Choi, Il-Ryong

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Use of new generation single nucleotide polymorphism genotyping for rapid development of near-isogenic lines in rice by Boualaphanh, Chanthakhone, Daygon, Venea D., Calingacion, Mariafe N., Sanitchon, Jarawit, Jothityangkoon, Darunee, Mumm, Roland, Hall, Robert D., Fitzgerald, Melissa A.

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Evaluation of near-isogenic lines of rice introgressed with QTLs for root depth through marker-aided selection by Shen, L., Courtois, B., McNally, K.L., Robin, S., Li, Z.

Subjects: “…near isogenic lines…”
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Leveraging drones, digital tools, and near-real time data for enhanced decision making by smallholder farmers by Jardinero, Benedict

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Evaluation of near-isogenic lines of rice introgressed with submergence tolerance and deep rooting at early growth stage by Soe, Ibrahim, Hang, Nguyen Thi Thu, Odama, Emmanuel, Chepkoech, Rael, Ookawa, Taiichiro, Ismail, Abdelbagi M., Sakagami, Jun-Ichi

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History of IRRI-JIRCAS bacterial blight and blast near-isogenic lines: cornerstones of global rice pathology by Schepler-Luu, Van, Telebanco-Yanoria, Mary Jeanie, Vera Cruz, Casiana M.

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Dairy marketing by intra-urban, peri-urban and rural dairy producers near Addis Ababa, Ethiopia by Debrah, S.K.

“…Rural producers located near fresh milk collection centres sold almost all their milk at the collection centres. …”
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Global adaptation of spring bread and durum wheat lines near-isogenic for major reduced height genes by Mathews, KL, Chapman, SC, Trethowan, R, Singh, R.P., Crossa, J.L., Pfeiffer, Wolfgang H., Ginkel, M. van, DeLacy, I

“…Sixteen pairs of semidwarf–tall near-isolines were grown in six managed drought environment trials (DETs) in northwestern Mexico. …”
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Near-InfraRed Spectroscopy (NIRS) equation: ICARDA fieldpea legume crop residue calibration model by International Center for Agricultural Research in the Dry Areas

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Near-InfraRed Spectroscopy (NIRS) equation: CIP sweet potato crop residue calibration model by International Potato Center

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Near Infrared Reflectance Spectroscopy: Accelerating sweetpotato breeding at the sweetpotato support platform for West African in Ghana. by Owusu-Mensah, E., Oduro, I., Asafu-Agyei, J.N., Obeng-Bio, E., Felde, T. zum, Carey, E.E.

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Opportunities from multi-dimensional crop improvement and the supporting role of Near Infrared Spectroscopy (NIRS) networks by Blümmel, Michael

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