Online citations, reference lists, and bibliographies.

Improving Drought Tolerance In Maize: A View From Industry

H. Campos, M. Cooper, J. Habben, G. Edmeades, J. Schussler
Published 2004 · Biology

Cite This
Download PDF
Analyze on Scholarcy
Share
Significant yield losses in maize (Zea mays L.) from drought are expected to increase with global climate change as temperatures rise and rainfall distribution changes in key traditional production areas. The success of conventional crop improvement over the past 50 years for drought tolerance forms a baseline against which new genetic methods must be compared. Selection based on performance in multi-environment trials (MET) has increased grain yield under drought through increased yield potential and kernel set, rapid silk exertion, and reduced barrenness, though at a lower rate than under optimal conditions. Knowledge of the physiology of drought tolerance has been used to dissect the trait into a series of key processes. This has been complemented by genetic dissection through the identification of QTL associated with these same traits. Both have been used to identify suitable organ- and temporal-specific promoters and structural genes. Phenotyping capacity has not kept pace with the exponential increase in genotypic knowledge, and large-scale managed stress environments (MSE) are now considered essential to further progress. These environments provide ideal settings for conducting massively parallel transcript profiling studies, and for validating candidate regions and genes. Genetic and crop physiological models of key processes are now being used to confirm the value of traits for target environments, and to suggest efficient breeding strategies. Studies of gene to phenotype relationships suggest that most putative drought tolerance QTL identified thus far are likely to have limited utility for applied breeding because of their dependency on genetic background or their sensitivity to the environment, coupled with a general lack of understanding of the biophysical bases of these context dependencies. Furthermore, the sample of weather conditions encountered during progeny selection within the multi environment testing of conventional breeding programs can profoundly affect allele frequency in breeding populations and the stress tolerance of elite commercial products. We conclude that while gains in kernels per plant can be made by exploiting native genetic variation among elite breeding lines, improvements in functional stay-green or in root distribution and function may require additional genetic variation from outside the species. Genomic tools and the use of model plants are considered indispensable tools in this search for new ways of optimizing maize yield under stress. # 2004 Elsevier B.V. All rights reserved.
This paper references
Developing drought- and low N-tolerant maize
G. O. Edmeades (1997)
10.1016/S0981-9428(00)01237-7
A genomics approach towards salt stress tolerance
H. Bohnert (2001)
10.2135/CROPSCI1999.3961622X
Post–Green Revolution Trends in Yield Potential of Temperate Maize in the North‐Central United States
D. N. Duvick (1999)
What is yield
D. Duvick (1997)
Identification of quantitative trait loci in beef cattle
E. Casas (2005)
10.2135/cropsci1996.0011183X003600050040x
Genetic mapping of quantitative trait loci in maize in stress and nonstress environments : I. Grain yield and yield components
L. R. Veldboom (1996)
10.1073/PNAS.95.5.1986
Plant genomics: more than food for thought.
S. Briggs (1998)
Improving abiotic stress tolerance in maize: a random or planned process
G. O. Edmeades (2004)
10.1534/GENETICS.166.4.1715
The selective values of alleles in a molecular network model are context dependent.
Jean Peccoud (2004)
10.1093/biomet/63.1.83
A new class of resolvable incomplete block designs
H. Patterson (1976)
Bias and Sampling Error of the Estimated Proportion of Genotypic Variance Explained by Quantitative Trait Loci Determined From Experimental Data in Maize Using Cross Validation and Validation With Independent Samples.
Utz (2000)
QTL detection and marker
S. Openshaw (1997)
10.1016/S0378-4290(02)00021-7
The use of gene expression profiling to dissect the stress sensitivity of reproductive development in maize
C. Zinselmeier (2002)
10.2134/agronj2003.0099
Evaluating Plant Breeding Strategies by Simulating Gene Action and Dryland Environment Effects
S. Chapman (2002)
10.1016/S0065-2113(05)86002-X
The Contribution of Breeding to Yield Advances in maize (Zea mays L.)
D. Duvick (2005)
Effects of genetic background on response to selection in experimental populations of Arabidopsis thaliana.
M. Ungerer (2003)
Improvement of hybrid
J.C (2002)
Increasing the odds of success in selecting for abiotic stress tolerance in maize
G. O. Edmeades (2003)
10.2135/CROPSCI1999.0011183X003900040012X
Selection for drought tolerance increases maize yields across a range of nitrogen levels
M. Bänziger (1999)
10.2134/AGRONJ2000.923403X
Site-specific analysis of a droughted corn crop: II. Water use and stress.
E. Sadler (2000)
10.1016/S1161-0301(02)00093-X
Future contributions of crop modelling—from heuristics and supporting decision making to understanding genetic regulation and aiding crop improvement
G. Hammer (2002)
Use of molecular
G.O (2002)
10.1093/AOB/MCF134
Mapping QTLs regulating morpho-physiological traits and yield: case studies, shortcomings and perspectives in drought-stressed maize.
R. Tuberosa (2002)
10.1016/S0065-2113(02)77012-0
Desertification in Relation to Climate Variability and Change
D. Hillel (2002)
10.1038/35015701
Genomics, gene expression and DNA arrays
D. Lockhart (2000)
10.1007/978-94-015-9211-6_4
Marker-Assisted Selection
J. Kelly (2005)
10.4141/cjps84-081
RESISTANCE TO DROUGHT AND DENSITY STRESS IN CANADIAN AND EUROPEAN MAIZE (Zea mays L.) HYBRIDS
E. Dow (1984)
10.2135/CROPSCI2002.1173
Kernel number prediction in maize under nitrogen or water stress
F. Andrade (2002)
Identification of quantitative trait loci
D. de Leon (1996)
Effect of stress on gene expression profiles of corn reproductive tissues
J. Habben (2001)
10.1079/9780851996011.0000
Quantitative genetics, genomics and plant breeding
M. Kang (2001)
Leaf senescence and the profile of expanded leaf area in maize (Zea mays L.)
O. R. Valentinuz (2002)
10.1093/JEXBOT/53.366.13
Molecular and physiological approaches to maize improvement for drought tolerance.
W. Bruce (2002)
10.1105/tpc.13.1.61
Monitoring the Expression Pattern of 1300 Arabidopsis Genes under Drought and Cold Stresses by Using a Full-Length cDNA Microarray
M. Seki (2001)
Ph
李幼升 (1989)
10.1105/TPC.010410
Expression Profile Matrix of Arabidopsis Transcription Factor Genes Suggests Their Putative Functions in Response to Environmental Stresses
W. Chen (2002)
10.1079/9780851996011.0085
Use of molecular markers in plant breeding: drought tolerance improvement in tropical maize.
J. Ribaut (2001)
10.1073/PNAS.96.11.5952
Ecological intensification of cereal production systems: yield potential, soil quality, and precision agriculture.
K. Cassman (1999)
What is yield? In: Edmeades
D. N. Duvick (1997)
Genetic contributions to advances in yield of U.S
D. N. Duvick (1992)
10.1104/pp.014365
Comparative Transcriptional Profiling of Placenta and Endosperm in Developing Maize Kernels in Response to Water Deficit1
Long-Xi Yu (2003)
10.2134/AGRONJ2000.923395X
Site‐Specific Analysis of a Droughted Corn Crop: I. Growth and Grain Yield
E. Sadler (2000)
10.1007/s001220051233
Genetic analysis of drought tolerance in maize by molecular markers I. Yield components
C. Frova (1999)
Changes in drought tolerance in maize hybrids over five decades
H. Campos (2002)
Marker-assisted introgression of favorable alleles at quantitative trait loci between maize elite lines.
A. Bouchez (2002)
10.1007/s00122-002-0945-x
Improvement of hybrid yield by advanced backcross QTL analysis in elite maize
J. Ho (2002)
Changes in allelic frequencies in a tropical
D. de Leon (1997)
10.2134/JPA1999.0607
Soil Electrical Conductivity as a Crop Productivity Measure for Claypan Soils
N. Kitchen (1999)
10.2135/CSSASPECPUB29.C4
The Role and Regulation of the Anthesis‐Silking Interval in Maize
G. Edmeades (2000)
10.1073/pnas.132259199
Intraspecific violation of genetic colinearity and its implications in maize
H. Fu (2002)
10.1079/9780851996011.0033
Why quantitative geneticists should care about bioinformatics.
N. Tinker (2001)
10.1007/s001220050492
Identification of quantitative trait loci under drought conditions in tropical maize. 2. Yield components and marker-assisted selection strategies
J. Ribaut (1997)
10.1007/978-94-011-1524-7_20
Marker-assisted selection
P. Arús (1993)
10.1079/9780851996011.0323
Exploring variety - environment data using random effects AMMI models with adjustments for spatial field trend: Part 2. Applications
A. Smith (2001)
10.2135/cropsci1993.0011183X003300050031x
Causes for Silk Delay in a Lowland Tropical Maize Population
G. Edmeades (1993)
10.1016/0378-4290(96)00036-6
THE IMPORTANCE OF THE ANTHESIS-SILKING INTERVAL IN BREEDING FOR DROUGHT TOLERANCE IN TROPICAL MAIZE
J. Bolaños (1996)
10.1079/9780851996011.0245
Analysing QTL by environment interaction by factorial regression, with an application to the CIMMYT drought and low nitrogen stress programme in maize
F. Eeuwijk (2002)
Genetic contributions to advances in yield of U . S . maize
W. R. Fehr (1992)
10.2135/CROPSCI2001.413748X
Seed number as a function of growth. A comparative study in soybean, sunflower, and maize
C. R. Vega (2001)
10.1071/AR01070
Using crop simulation to generate genotype by environment interaction effects for sorghum in water-limited environments
S. Chapman (2002)
10.1007/BF00221905
Identification of quantitative trait loci under drought conditions in tropical maize. 1. Flowering parameters and the anthesis-silking interval
J. Ribaut (2004)
10.1038/ng1240
The genetic architecture of odor-guided behavior in Drosophila: epistasis and the transcriptome
R. Anholt (2003)
Complex Trait Genetics and Gene-to-Phenotype Models
M. Cooper (2004)
10.1016/S0378-4290(02)00024-2
Yield potential, yield stability and stress tolerance in maize
M. Tollenaar (2002)
Identification of quantitative trait loci under drought conditions in tropical maize. 2. Yield compo
J. Ribaut (1997)
10.1104/pp.013839
Combining Quantitative Trait Loci Analysis and an Ecophysiological Model to Analyze the Genetic Variability of the Responses of Maize Leaf Growth to Temperature and Water Deficit1
M. Reymond (2003)
Water use and requirements of maize – a review. Agrometeorology of the Maize (Corn) Crop, 480
R. H. Shaw (1977)
QTL detection and markerassisted selection for complex traits in maize
S. Openshaw (1997)
Genetic rates of gain in hybrid maize yields during the past 40 years
D. N. Duvick (1977)
10.1007/BF00022842
Breeding widely adapted, popular maize hybrids
A. Troyer (2004)
10.1007/BF00223376
Advanced backcross QTL analysis: a method for the simultaneous discovery and transfer of valuable QTLs from unadapted germplasm into elite breeding lines
S. Tanksley (2004)
The contribution of breeding to yield advances in maize, submitted for publication
D. N. Duvick (2004)



This paper is referenced by
10.2134/AGRONJ2012.0427
Corn performance under managed drought stress and in a Kura clover living mulch intercropping system
Cathrine Ziyomo (2013)
10.1007/s11104-008-9843-6
Rooting depth and water use efficiency of tropical maize inbred lines, differing in drought tolerance
A. Hund (2008)
10.1016/S1671-2927(09)60231-5
Stability of QTL Across Environments and QTL-by-Environment Interactions for Plant and Ear Height in Maize
Y. Zhang (2010)
10.1016/B978-0-12-417104-6.00019-4
Integration of Biotechnology, Plant Breeding and Crop Physiology: Dealing with Complex Interactions from a Physiological Perspective
Fernando H. Andrade (2015)
10.1371/journal.pone.0117737
Genome Wide Association Study for Drought, Aflatoxin Resistance, and Important Agronomic Traits of Maize Hybrids in the Sub-Tropics
Ivan D. Barrero Farfan (2015)
10.3389/fpls.2017.00174
Enhancing Omics Research of Crop Responses to Drought under Field Conditions
S. Wu (2017)
10.31274/ETD-180810-38
Reducing losses to maize stored on farms in East Africa using hermetic storage
A. Yakubu (2012)
10.21475/POJ.16.09.04.P7802
Plant gene co-suppression; basis of the molecular machinery of interfering RNA
Jorge Ricaño-Rodríguez (2016)
10.1534/genetics.109.105429
Simulating the Yield Impacts of Organ-Level Quantitative Trait Loci Associated With Drought Response in Maize: A “Gene-to-Phenotype” Modeling Approach
K. Chenu (2009)
10.2134/AGRONJ2011.0071
Agronomic Responses of Corn to Planting Date and Plant Density
R. J. V. Roekel (2011)
10.1093/jxb/erv049
In silico system analysis of physiological traits determining grain yield and protein concentration for wheat as influenced by climate and crop management
P. Martre (2015)
10.1093/JXB/ERI297
Is a physiological perspective relevant in a 'genocentric' age?
T. Sinclair (2005)
Drought causes limited productivity of maize: drought tolerant corn hybrid
Gaurav Sidhu (2012)
10.3390/AGRONOMY3010135
Measuring Maize Seedling Drought Response in Search of Tolerant Germplasm
M. Meeks (2013)
10.1093/JXB/ERL212
The drought environment: physical, biological and agricultural perspectives.
J. Passioura (2007)
10.1016/J.FCR.2012.05.004
Sugarcane for water-limited environments: Theoretical assessment of suitable traits
N. Inman-Bamber (2012)
10.1007/978-1-4614-5001-6_12
Weeds as a Source of Genetic Material for Crop Improvement Under Adverse Conditions
Bhumesh Kumar (2013)
10.35196/rfm.2014.4.339
Silenciamiento génico en plantas: mecanismos moleculares del ARN de interferencia y aplicaciones biotecnológicas
Jorge Ricaño-Rodríguez (2014)
10.1111/pce.12429
Combining quantitative trait loci analysis with physiological models to predict genotype-specific transpiration rates.
Gretchen Reuning (2015)
10.2135/CROPSCI2014.07.0460
Genetic Gains in Grain Yield Through Genomic Selection in Eight Bi-parental Maize Populations under Drought Stress
Y. Beyene (2015)
10.5897/AJAR2015.9595
Physiological mechanisms of drought tolerance in sorghum, genetic basis and breeding methods: A review
Beyene Amelework (2015)
10.1007/s10265-017-0933-5
Exogenous application of urea and a urease inhibitor improves drought stress tolerance in maize (Zea mays L.)
W. Gou (2017)
10.3390/ijms20194725
Comparative Proteomics of Salt-Tolerant and Salt-Sensitive Maize Inbred Lines to Reveal the Molecular Mechanism of Salt Tolerance
Fenqi Chen (2019)
10.1626/pps.14.1
Drought Resistance Improvement in Rice: An Integrated Genetic and Resource Management Strategy
R. Serraj (2011)
10.1016/j.bmc.2015.11.010
Chemical manipulation of plant water use.
Jonathan D. M. Helander (2016)
EVALUATION OF DROUGHT TOLERANCE IN GRAIN MAIZE HYBRIDS USING DROUGHT TOLERANCE INDICES
R. Choukan (2008)
Combining ability, genetic gains and path coefficient analyses of maize hybrids developed from maize streak virus and downey mildew resistant recombinant inbred lines.
I. Mathew (2015)
10.1016/J.AGSY.2012.12.011
Adapting crop management practices to climate change: Modeling optimal solutions at the field scale
N. Lehmann (2013)
10.1016/J.AGWAT.2015.03.007
Soil water extraction, water use, and grain yield by drought-tolerant maize on the Texas High Plains
Baozhen Hao (2015)
10.1007/s00122-009-1099-x
Drought stress and tropical maize: QTL-by-environment interactions and stability of QTLs across environments for yield components and secondary traits
R. Messmer (2009)
QTL mapping reveals constitutive and adaptive genomic regions for drought tolerance in tropical maize (Zea mays L.)
Gustavo Dias de Almeida (2012)
Identification of significant loci for drought resistance and root traits at seedling stage with a set of maize introgression lines
Xiaomin Feng (2013)
See more
Semantic Scholar Logo Some data provided by SemanticScholar