Branding/Logomark minus Citation Combined Shape Icon/Bookmark-empty Icon/Copy Icon/Collection Icon/Close Copy 7 no author result Created with Sketch. Icon/Back Created with Sketch.
Loading Scinapse...
Matthew P. Reynolds
International Maize and Wheat Improvement Center
201Publications
58H-index
10.4kCitations
Publications 201
Newest
Published on Jan 1, 2019in Global Change Biology 9.00
Senthold Asseng40
Estimated H-index: 40
(University of Florida),
Pierre Martre32
Estimated H-index: 32
(University of Montpellier)
+ 64 AuthorsM. Ali Babar (University of Florida)
Source Cite
Published on Oct 24, 2018
Sivakumar Sukumaran7
Estimated H-index: 7
,
José Crossa59
Estimated H-index: 59
+ 2 AuthorsMatthew P. Reynolds58
Estimated H-index: 58
Increases in genetic gains in grain yield can be accelerated through genomic selection (GS). In the present study seven genomic prediction models under two cross validation scenarios were evaluated on the Wheat Association Mapping Initiative population of 287 advanced elite lines phenotyped for grain yield (GY), thousand grain weight (GW), grain number (GN), and thermal time for flowering (TTF) in 18 environments (year location combinations) in major wheat producing countries in 2010 and 2011. T...
Published on Dec 1, 2018in Agricultural and Forest Meteorology 4.04
Ixchel M. Hernandez-Ochoa2
Estimated H-index: 2
(University of Florida),
Senthold Asseng40
Estimated H-index: 40
(University of Florida)
+ 8 AuthorsAnabel Molero Milan (International Maize and Wheat Improvement Center)
Abstract Wheat is one of the most important cereal crops in Mexico, but the impact of future climate change on production is not known. To quantify the impact of future climate change together with its uncertainty, two wheat crop models were executed in parallel, using two scaling methods, five Global Climate Models (GCMs) and two main Representative Concentration Pathways (RCPs) for the 2050s. Simulated outputs varied among crop models, scaling methods, GCMs, and RCPs; however, they all project...
Source Cite
Published on Nov 1, 2018in Plant Science 3.71
Muhammad Adeel Hassan1
Estimated H-index: 1
(Civil Aviation Authority of Singapore),
Mengjiao Yang1
Estimated H-index: 1
(Xinjiang Agricultural University)
+ 5 AuthorsZhonghu He45
Estimated H-index: 45
(International Maize and Wheat Improvement Center)
Abstract Wheat improvement programs require rapid assessment of large numbers of individual plots across multiple environments. Vegetation indices (VIs) that are mainly associated with yield and yield-related physiological traits, and rapid evaluation of canopy normalized difference vegetation index (NDVI) can assist in-season selection. Multi-spectral imagery using unmanned aerial vehicles (UAV) can readily assess the VIs traits at various crop growth stages. Thirty-two wheat cultivars and bree...
Source Cite
Published on Dec 13, 2018in Plant Biotechnology Journal 6.30
Gemma Molero6
Estimated H-index: 6
(International Maize and Wheat Improvement Center),
Ryan Joynson (Norwich University)+ 4 AuthorsMatthew P. Reynolds58
Estimated H-index: 58
(International Maize and Wheat Improvement Center)
One of the major challenges for plant scientists is increasing wheat (Triticum aestivum) yield potential (YP). A significant bottleneck for increasing YP is achieving increased biomass through optimization of Radiation Use Efficiency (RUE) along the crop cycle. Exotic material such as landraces and synthetic wheat has been incorporated into breeding programs in an attempt to alleviate this, however their contribution to YP is still unclear. To understand the genetic basis of biomass accumulation...
Source Cite
Published on Jan 23, 2018in Journal of Experimental Botany 5.35
Viridiana Silva‐Pérez2
Estimated H-index: 2
(Australian National University),
Gemma Molero6
Estimated H-index: 6
(International Maize and Wheat Improvement Center)
+ 4 AuthorsJohn R. Evans57
Estimated H-index: 57
(Australian National University)
4 Citations Source Cite
Published on Feb 6, 2018in Frontiers in Plant Science 3.68
Sivakumar Sukumaran7
Estimated H-index: 7
(International Maize and Wheat Improvement Center),
Matthew P. Reynolds58
Estimated H-index: 58
(International Maize and Wheat Improvement Center),
Carolina Sansaloni4
Estimated H-index: 4
(International Maize and Wheat Improvement Center)
Understanding the genetic bases of economically important traits is fundamentally important in enhancing genetic gains in durum wheat. In this study, a durum panel of 208 lines (comprised of elite materials and exotics from the International Maize and Wheat Improvement Center gene bank) were subjected to genome wide association study (GWAS) using 6,211 DArTseq single nucleotide polymorphisms (SNPs). The panel was phenotyped under yield potential (YP), drought stress (DT), and heat stress (HT) co...
4 Citations Source Cite
Published on Feb 16, 2018in Theoretical and Applied Genetics 3.93
Sivakumar Sukumaran7
Estimated H-index: 7
(International Maize and Wheat Improvement Center),
Marta S. Lopes15
Estimated H-index: 15
(International Maize and Wheat Improvement Center)
+ 1 AuthorsMatthew P. Reynolds58
Estimated H-index: 58
(International Maize and Wheat Improvement Center)
Key message GWAS on multi-environment data identified genomic regions associated with trade-offs for grain weight and grain number.
1 Citations Source Cite
Published on Jan 1, 2018in Euphytica 1.55
Matthew P. Reynolds58
Estimated H-index: 58
(International Maize and Wheat Improvement Center),
Alistair J. D. Pask2
Estimated H-index: 2
(International Maize and Wheat Improvement Center)
+ 73 AuthorsHans J. Braun8
Estimated H-index: 8
(International Maize and Wheat Improvement Center)
Source Cite
Published on Jan 1, 2018in The Plant Genome 2.92
Sivakumar Sukumaran7
Estimated H-index: 7
(International Maize and Wheat Improvement Center),
Diego Jarquin10
Estimated H-index: 10
(University of Nebraska–Lincoln)
+ 1 AuthorsMatthew P. Reynolds58
Estimated H-index: 58
(International Maize and Wheat Improvement Center)
2 Citations Source Cite
12345678910