Person:
Reynolds, M.P.

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Reynolds
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M.P.
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Reynolds, M.P.

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Now showing 1 - 10 of 18
  • Interaction of planting system with radiation-use efficiency in wheat lines
    (John Wiley and Sons Inc., 2024) Moroyoqui-Parra, M.A.; Molero, G.; Reynolds, M.P.; Gaju, O.; Murchie, E.; Foulkes, J.
    Publication
  • A 'wiring diagram' for source strength traits impacting wheat yield potential
    (Oxford University Press, 2023) Murchie, E.; Reynolds, M.P.; Slafer, G.; Foulkes, J.; Acevedo-Siaca, L.G.; McAusland, L.; Sharwood, R.; Griffiths, S.; Flavell, R.; Gwyn, J.; Sawkins, M.C.; Carmo Silva, E.
    Publication
  • Night-time warming in the field reduces nocturnal stomatal conductance and grain yield but does not alter daytime physiological responses
    (John Wiley and Sons Inc., 2023) McAusland, L.; Acevedo-Siaca, L.G.; Pinto, R.S.; Pinto Espinosa, F.; Molero, G.; Garatuza-Payán, J.; Reynolds, M.P.; Murchie, E.; Yépez, E.A.
    Publication
  • Exotic alleles contribute to heat tolerance in wheat under field conditions
    (Springer Nature, 2023) Molero, G.; Coombes, B.; Joynson, R.; Pinto Espinosa, F.; Piñera Chavez, F.J; Rivera-Amado, C.; Hall, A.J.W.; Reynolds, M.P.
    Publication
  • The physiological basis of the genetic progress in yield potential of CIMMYT spring wheat cultivars from 1966 to 2009
    (CSSA, 2015) Aisawi, K.A.B.; Reynolds, M.P.; Singh, R.P.; Foulkes, J.
    Publication
  • Does soluble dry-matter represent a net benefit on yield under potential conditions? – First insights
    (CIMMYT, 2019) Rivera-Amado, C.; Molero, G.; Foulkes, J.; Reynolds, M.P.
    Publication
  • Assessment of the individual and combined effects of Rht8 and Ppd-D1a on plant height, time to heading and yield traits in common wheat
    (Elsevier, 2019) Kunpu Zhang; Junjun Wang; Huanju Qin; Zhiying Wei; Libo Hang; Pengwei Zhang; Reynolds, M.P.; Daowen Wang
    Grain yield in cereal crops is a complex trait controlled by multiple genes and influenced by developmental processes and environment. Here we report the effects of alleles Rht8 and Ppd-D1a on plant height, time to heading, and grain yield and its component traits. Association analysis and quantitative trait locus mapping using phenotypic data from 15 environments led to the following conclusions. First, both Rht8 and Ppd-D1a reduce plant height. However, Ppd-D1a but not Rht8 causes earlier heading. Second, both Rht8 and Ppd-D1a promote grain yield and affect component traits. Their combined effects are substantially larger than those conferred by either allele alone. Third, promotion of grain yield by Rht8 and Ppd-D1a is through increasing fertile spikelet number. We speculate that Rht8 and Ppd-D1a act independently and additively in control of plant height, grain yield and yield component. Combination of the two alleles is desirable for adjusting plant height and enhancing grain yield and abiotic stress tolerance.
    Publication
  • An integrated approach to maintaining cereal productivity under climate change
    (Elsevier, 2016) Reynolds, M.P.; Quilligan, E.; Bansal, K.C.; Cavalieri, A.J.; Chapman, S.; Chapotin, S.M.; Datta, S.; Duveiller, E.; Gill, K.S.; Jagadish, K.S.V.; Joshi, A.K.; Koehler, A.K.; Kosina, P.; Krishnan, S.; Lafitte, H.R.; Mahala, R.S.; Raveendran, M.; Paterson, A.H.; Prasanna, B.M.; Rakshit, S.; Rosegrant, M.W.; Sharma, I.; Singh, R.P.; Sivasankar, S.; Vadez, V.; Valluru, R.; Prasad, P.V.V.; Yadav, O.P.; Aggarwal, P.K.
    Wheat, rice, maize, pearl millet, and sorghum provide over half of the world's food calories. To maintain global food security, with the added challenge of climate change, there is an increasing need to exploit existing genetic variability and develop cultivars with superior genetic yield potential and stress adaptation. The opportunity to share knowledge between crops and identify priority traits for future research can be exploited to increase breeding impacts and assist in identifying the genetic loci that control adaptation. A more internationally coordinated approach to crop phenotyping and modeling, combined with effective sharing of knowledge, facilities, and data, will boost the cost effectiveness and facilitate genetic gains of all staple crops, with likely spill over to more neglected crops.
    Publication
  • Genome-wide association study for adaptation to agronomic plant density: a component of high yield potential in spring wheat
    (Crop Science Society of America (CSSA), 2015) Sukumaran, S.; Reynolds, M.P.; Lopes, M.; Crossa, J.
    Previous research has shown that progress in genetic yield potential is associated with adaptation to agronomic planting density, though its genetic basis has not been addressed before. In the current study, a wheat (Triticum aestivum L.) association mapping initiative (WAMI) panel of 287 elite lines was assessed for the effects of plant density on grain yield (YLD), 1000-kernel weight (TKW), and grain number (GNO) in yield plots consisting of four evenly spaced rows. The YLD and GNO of inner (high plant density) rows compared with outer rows (low plant density) indicated a consistent pattern: genotypes that performed best under intense competition (inner rows) responded less to reduced competition (outer rows) while being generally the best performers on aggregate (inner plus outer rows). However, TKW was not affected by plant density. To identify the genetic loci, an adaptation to density index (ADi) was computed as the scaled difference in trait values between inner and outer rows. Results on biplot analysis indicated that ADi was correlated with YLD in high-yielding environments, suggesting that it is a component of high yield potential. Genotyping of the WAMI panel was done through 90K Illumina Bead single nucleotide polymorphism (SNP) array. Association mapping employed using 18,104 SNP markers for ADi identified a major locus in chromosome 3B at 71 cM that explained 11.4% variation in ADi for YLD and GNO. Functional marker for ADi will enable identification of the trait in early generations— not otherwise possible in spaced plants typical of pedigree breeding approach—and to select parents for hybrid development.
    Publication
  • Proceedings of the Workshop on Modeling Wheat Response to High Temperature; El Batan, Texcoco, Mexico; 19-21 Jun 2013
    (CIMMYT, 2013) Alderman, P.D.; Quilligan, E.; Asseng, S.; Ewert, F.; Reynolds, M.P.
    The abstracts here in are of presentations by experts participating in the workshop “Modeling Wheat Response to High Temperature”. Sponsored by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and in collaboration with the University of Florida, University of Bonn, and the Agricultural Model Intercomparison and Improvement Project (AgMIP).
    Publication