Improving Drought Tolerance in Maize

Barker, Thomas C.; Campos, Hugo; Cooper, Mark; Dolan, Dennis; Edmeades, G.O.; Habben, Jeffrey E.; Schussler, Jeffrey R.; Wright, Deanne; Zinselmeier, Chris

doi:10.1002/9780470650301.ch7

Cited by 67 publications

(87 citation statements)

References 165 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, crop breeders or climate change biologists may seek to understand how fitness and yield can be maintained during relatively dry growing seasons across drought years. This type of "press" drought treatment imposed in the field is known to elicit different physiological, gene expression (Barker et al, 2005), and ultimately community-scale responses relative to "pulse" droughts such as those imposed by our cylinder and greenhouse experiments Hoover and Rogers, 2016).…”

Section: Comparison Of Soil Water Deficit Manipulations Across Experimentioning

confidence: 99%

“…A common finding among such studies is that physiological and gene expression responses to drought vary considerably depending on the severity and temporal dynamics of drying soil (Chaves et al, 2003;Barker et al, 2005;Malmberg et al, 2005;Mittler, 2006;Mishra et al, 2012). Natural soil moisture variation, which has shaped adaptive responses to drought in wild populations, is not necessarily recapitulated by controlled (often, "shock") laboratory experiments.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Promises and challenges of eco-physiological genomics in the field: tests of drought responses in switchgrass

Lovell¹,

Shakirov²,

Schwartz³

et al. 2016

Plant Physiol.

View full text Add to dashboard Cite

Section: Comparison Of Soil Water Deficit Manipulations Across Experimentioning

confidence: 99%

mentioning

confidence: 99%

Promises and challenges of eco-physiological genomics in the field: tests of drought responses in switchgrass

Lovell¹,

Shakirov²,

Schwartz³

et al. 2016

Plant Physiol.

View full text Add to dashboard Cite

“…Barker et al (2010) reported a maize genetic gain of 211 kg ha −1 year −1 in favorable environments in Woodland, CA, USA. Further, the same study reported lower genetic gains under water limited environments, of 124 and 91 kg ha −1 year −1 expressed during flowering and mid-grain filling, respectively.…”

Section: Introductionmentioning

confidence: 99%

Accelerating genetic gains in legumes for the development of prosperous smallholder agriculture: integrating genomics, phenotyping, systems modelling and agronomy

Varshney

Thudi

Pandey

et al. 2018

Journal of Experimental Botany

100

View full text Add to dashboard Cite

Grain legumes form an important component of the human diet, provide feed for livestock, and replenish soil fertility through biological nitrogen fixation. Globally, the demand for food legumes is increasing as they complement cereals in protein requirements and possess a high percentage of digestible protein. Climate change has enhanced the frequency and intensity of drought stress, posing serious production constraints, especially in rainfed regions where most legumes are produced. Genetic improvement of legumes, like other crops, is mostly based on pedigree and performance-based selection over the past half century. To achieve faster genetic gains in legumes in rainfed conditions, this review proposes the integration of modern genomics approaches, high throughput phenomics, and simulation modelling in support of crop improvement that leads to improved varieties that perform with appropriate agronomy. Selection intensity, generation interval, and improved operational efficiencies in breeding are expected to further enhance the genetic gain in experimental plots. Improved seed access to farmers, combined with appropriate agronomic packages in farmers' fields, will deliver higher genetic gains. Enhanced genetic gains, including not only productivity but also nutritional and market traits, will increase the profitability of farming and the availability of affordable nutritious food especially in developing countries.

show abstract

“…The study of Hammer et al (2009a) suggests that there are only slight consequential effects on RUE and they suggest any association with yield advance would likely be related to other factors, such as better distribution of light into the canopy, possibly aiding leaf retention. Lower canopy temperatures have been related to more upright leaves of newer hybrids in comparison with older hybrids (Barker et al 2010).…”

Section: Radiation Capture and Use Efficiencymentioning

confidence: 99%

The physiological basis of genetic improvement in maize (Zea mays L.) yield in the US Corn Belt

Ponce¹

View full text Add to dashboard Cite

Maize, along with rice and wheat, provides the foundation of human food supply. Ecological intensification of maize cropping systems and accelerated genetic improvement of maize yield will be necessary to satisfy an increasing demand from rapid population growth (Cassman 1999).Understanding of the physiological basis underpinning genetic improvement of maize can inform breeding efforts and improve tailoring of maize hybrids to intensified cropping systems.Maize yields in the US Corn Belt have increased at a rate of 1% a year for over 70+ years. A series of field studies using the so-called ERA hybrid set (Duvick et al. 2004a), which represent commercially successful hybrid releases over that period, demonstrated that yield improvement resulted from the interaction between genotype and plant population, and documented that yield advance was associated with increased leaf angle score and stay-green score, and decreases in anthesis-silking interval (ASI), tassel size scores, and barrenness. Changes in leaf angle scores and stay green scores have been implicated as determinants of increased radiation use efficiency and water capture (Hammer et al. 2009a;). Increased kernel number per unit area via reduced barrenness, shorter ASI, and reduced tassel size suggest that biomass allocation to the ear may have changed as the result of selection for yield in the ERA hybrids (Duvick et al. 2004a;Hammer et al. 2009a). Increased total biomass and increased partitioning to the kernels around silking and during early ear growth have been implicated as the major physiological determinants of the yield increase in short-season maize (Tollenaar et al. 2006a).We have a cursory understanding of the physiological drivers of yield improvement in temperate maize. This study provides empirical evidence to evaluate previously proposed hypotheses (i.e., water capture; Hammer et al. (2009a)) and deductions from field observations. This study utilizes a crop growth and development framework structured on concepts of resource capture, utilization efficiency and allocation to guide field experimentation. The experimental component of this study includes field experiments in managed stress environments located in USA and Chile during the growing seasons 2012 and 2011/2012 respectively, seeking to quantify genotypic differences in light and water capture, crop and ear growth, and resource allocation. Two seasons of experiments in 2012 utilizing the lysimeter and root chamber facilities located at UQ have been used to quantify genotypic differences in transpiration dynamics and efficiency, biomass allocation, and sensitivities to drought stress. Experimental work used a contrasting subset of single crosses from the ERA hybrids with seed available in Australia. All the experiments were planted at the highest plant density used in each location and platform.ii Measurement of soil water during two years of field experiments showed that total water capture under water-limited conditions did not differ between hybrids from another subset of t...

show abstract

Improving Drought Tolerance in Maize

Cited by 67 publications

References 165 publications

Promises and challenges of eco-physiological genomics in the field: tests of drought responses in switchgrass

Promises and challenges of eco-physiological genomics in the field: tests of drought responses in switchgrass

Accelerating genetic gains in legumes for the development of prosperous smallholder agriculture: integrating genomics, phenotyping, systems modelling and agronomy

The physiological basis of genetic improvement in maize (Zea mays L.) yield in the US Corn Belt

Contact Info

Product

Resources

About