Browsing by Author "Zaman-Allah, M."

Presentation

Advanced field-based phenotyping methods and opportunities for improving genetic gain in crop improvement

Zaman-Allah, M. (CIMMYT, 2022)

Article

Beat the stress: breeding for climate resilience in maize for the tropical rainfed environments

Prasanna, B.M.; Cairns, J.E.; Zaidi, P.H.; Beyene, Y.; Makumbi, D.; Gowda, M.; Magorokosho, C.; Zaman-Allah, M.; Olsen, M.; Das Aparna; Regasa, M.W.; Gethi, J.; Vivek, B.; Nair, S.K.; Rashid, Z.; Vinayan, M.T.; Issa, A.B.; San Vicente, F.M.; Dhliwayo, T.; Zhang, X. (Springer, 2021)

Presentation

Climate change and maize production in Zimbabwe

Cairns, J.E.; Magorokosho, C.; Olsen, M.; Sonder, K.; Stirling, C.; Zaman-Allah, M.; Prasanna, B.M.; Fantaye, K.T. (CIMMYT, 2016)

Article

Comparative performance of ground vs. aerially assessed RGB and multispectral indices for early-growth evaluation of maize performance under phosphorus fertilization

Gracia-Romero, A.; Kefauver, S.C.; Vergara Diaz, O.; Zaman-Allah, M.; Prasanna, B.M.; Cairns, J.E.; Araus, J.L. (Frontiers, 2017)

Article

Correction to: high-throughput method for ear phenotyping and kernel weight estimation in maize using ear digital imaging

Makanza, R.; Zaman-Allah, M.; Cairns, J.E.; Eyre, J.; Burgueño, J.; Pacheco Gil, R.A.; Diepenbrock, C.; Magorokosho, .; Amsal Tesfaye Tarekegne; Olsen, M.; Prasanna, B.M. (BioMed Central, 2019)

Article

Editorial: Physiological, molecular and genetic perspectives of environmental stress response in plants

Vennapusa, A.R.; Padma Nimmakayala; Zaman-Allah, M.; Pasala Ratnakumar (Frontiers Media SA, 2023)

Presentation

Effective and innovative approaches to phenotypic evaluation

Cairns, J.E.; Zaman-Allah, M. (CIMMYT, 2022)

Article

Evaluating maize genotype performance under low nitrogen conditions using RGB UAV phenotyping techniques

Buchaillot, M.L.; Gracia-Romero, A.; Vergara Diaz, O.; Zaman-Allah, M.; Amsal Tesfaye Tarekegne; Cairns, J.E.; Prasanna, B.M.; Araus, J.L.; Kefauver, S.C. (MDPI, 2019)

Conference Paper

Evaluating the performance of different commercial and pre-commercial maize varieties under low nitrogen conditions using affordable phenotyping tools

Buchaillot, M.L.; Gracia-Romero, A.; Zaman-Allah, M.; Amsal Tesfaye Tarekegne; Prasanna, B.M.; Cairns, J.E.; Araus, J.L.; Kefauver, S.C. (MDPI, 2018)

Article

Evaluation of agro-morphological diversity of groundnut (Arachis hypogaea L.) in Niger

Idi Garba, N.M.; Bakasso, Y.; Atta, S.; Mamane, M.I.; Adamou, M.; Hamidou, F.; Idi, S.S.; Mahamane, A.; Saadou, M.; Zaman-Allah, M. (Academic Journals, 2015)

Article

Gains in maize genetic improvement in Eastern and Southern Africa: I. CIMMYT hybrid breeding pipeline

Masuka, B.; Atlin, G.N.; Olsen, M.; Magorokosho, C.; Labuschagne, M.; Crossa, J.; Bänziger, M.; Pixley, K.V.; Vivek, B.; Biljon, A.; MacRobert, J.F.; Alvarado Beltrán, G.; Prasanna, B.M.; Makumbi, D.; Amsal Tesfaye Tarekegne; Das, B.; Zaman-Allah, M.; Cairns, J.E. (Crop Science Society of America (CSSA), 2017)

Article

Gains in maize genetic improvement in Eastern and Southern Africa: II. CIMMYT open-pollinated variety breeding pipeline

Masuka, B.; Magorokosho, C.; Olsen, M.; Atlin, G.N.; Bänziger, M.; Pixley, K.V.; Vivek, B.; Labuschagne, M.; Matemba-Mutasa, R.; Burgueño, J.; MacRobert, J.F.; Prasanna, B.M.; Das, B.; Makumbi, D.; Amsal Tesfaye Tarekegne; Crossa, J.; Zaman-Allah, M.; Biljon, A.; Cairns, J.E. (Crop Science Society of America (CSSA), 2017)

Article

Genetic diversity among selected elite CIMMYT maize hybrids in East and Southern Africa

Masuka, B.; Biljon, A.; Cairns, J.E.; Das, B.; Labuschagne, M.; MacRobert, J.F.; Makumbi, D.; Magorokosho, C.; Zaman-Allah, M.; Ogugo, V.; Olsen, M.; Prasanna, B.M.; Amsal Tesfaye Tarekegne; Semagn, K. (Crop Science Society of America, 2017)

Article

Genetic trends in CIMMYT’s tropical maize breeding pipelines

Prasanna, B.M.; Burgueño, J.; Beyene, Y.; Makumbi, D.; Asea, G.; Woyengo, V.; Tarekegne, A.T.; Magorokosho, C.; Dagne Wegary Gissa; Thokozile Ndhlela; Zaman-Allah, M.; Matova, P.M.; Mwansa, K.; Mashingaidze, K.; Fato, P.; Chere, A.T.; Vivek, B.; Zaidi, P.H.; Vinayan, M.T.; Patne, N.; Rakshit, S.; Kumar, R.; Jat, S.L.; Singh, S.B.; Kuchanur, P.H.; Lohithaswa, H.C.; Singh, N.K.; Koirala, K.B.; Ahmed, S.; San Vicente, F.M.; Dhliwayo, T.; Cairns, J.E. (Nature Publishing Group, 2022)

Article

High-throughput method for ear phenotyping and kernel weight estimation in maize using ear digital imaging

Makanza, R.; Zaman-Allah, M.; Cairns, J.E.; Eyre, J.; Burgueño, Juan; Pacheco Gil, R.A.; Diepenbrock, C.; Magorokosho, C.; Amsal Tesfaye Tarekegne; Olsen, M.; Prasanna, B.M. (BioMed Central, 2018)

Article

High-throughput phenotyping of canopy cover and senescence in maize field trials using aerial digital canopy imaging

Makanza, R.; Zaman-Allah, M.; Cairns, J.E.; Magorokosho, C.; Amsal Tesfaye Tarekegne; Olsen, M.; Prasanna, B.M. (MDPI, 2018)

Article

Identification of donors for low-nitrogen stress with maize lethal necrosis (MLN) tolerance for maize breeding in sub-Saharan Africa

Das, B.; Atlin, G.N.; Olsen, M.; Burgueño, J.; Amsal Tesfaye Tarekegne; Babu, R.; Ndou, E.; Mashingaidze, K.; Lieketso Moremoholo; Ligeyo, D.; Matemba-Mutasa, R.; Zaman-Allah, M.; San Vicente, F.M.; Prasanna, B.M.; Cairns, J.E. (Springer, 2019)

Article

Leaf versus whole-canopy remote sensing methodologies for crop monitoring under conservation agriculture: a case of study with maize in Zimbabwe

Gracia-Romero, A.; Kefauver, S.C.; Vergara, O.; Hamadziripi, E.; Zaman-Allah, M.; Thierfelder, C.; Prasanna, B.M.; Cairns, J.E.; Araus, J.L. (Nature Publishing Group, 2020)

Article

Low-N stress tolerant maize hybrids have higher fertilizer N recovery efficiency and reduced N-dilution in the grain compared to susceptible hybrids under low N conditions

Chisaka, A.; Zaman-Allah, M.; Cairns, J.E.; Amsal Tesfaye Tarekegne; Magorokosho, C.; Das, B.; Masuka, B.; Olsen, M.; Prasanna, B.M. (Taylor & Francis, 2020)

Article

Maize kernel abortion recognition and classification using binary classification machine learning algorithms and deep convolutional neural networks

Chipindu, L.; Mupangwa, W.; Mtsilizah, J.; Nyagumbo, I.; Zaman-Allah, M. (MDPI, 2020)

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