Environmental control of phenology and leaf growth in a tropically adapted maize

Muchow, R.C.; Carberry, P. S.

doi:10.1016/0378-4290(89)90081-6

Cited by 132 publications

(85 citation statements)

References 13 publications

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“…Traits for adaptation to drought conditions fall into three broad categories; a reduction in the length of pre-flowering and/or post-flowering phases to escape drought (e.g. Bolanos et al 1993); expansion of the soil water extracted volume to increase water supply by, for example, deeper roots (Salih et al 1999) and decreases in the rate of soil water extraction by reduction in canopy size via smaller leaves (Salih et al 1999) or a slower rate of leaf appearance (Muchow & Carberry 1989) and/or stomatal responses (Ludlow & Muchow 1990;Ray & Sinclair 1997). Such individual phenotypic traits can be combined but can also have yield reducing implications for other plant processes.…”

Section: Adaptationmentioning

confidence: 99%

Crop responses to climatic variation

Porter¹,

Semenov

2005

Phil. Trans. R. Soc. B

845

516

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The yield and quality of food crops is central to the well being of humans and is directly affected by climate and weather. Initial studies of climate change on crops focussed on effects of increased carbon dioxide (CO 2 ) level and/or global mean temperature and/or rainfall and nutrition on crop production. However, crops can respond nonlinearly to changes in their growing conditions, exhibit threshold responses and are subject to combinations of stress factors that affect their growth, development and yield. Thus, climate variability and changes in the frequency of extreme events are important for yield, its stability and quality. In this context, threshold temperatures for crop processes are found not to differ greatly for different crops and are important to define for the major food crops, to assist climate modellers predict the occurrence of crop critical temperatures and their temporal resolution. This paper demonstrates the impacts of climate variability for crop production in a number of crops. Increasing temperature and precipitation variability increases the risks to yield, as shown via computer simulation and experimental studies. The issue of food quality has not been given sufficient importance when assessing the impact of climate change for food and this is addressed. Using simulation models of wheat, the concentration of grain protein is shown to respond to changes in the mean and variability of temperature and precipitation events. The paper concludes with discussion of adaptation possibilities for crops in response to drought and argues that characters that enable better exploration of the soil and slower leaf canopy expansion could lead to crop higher transpiration efficiency.

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Section: Adaptationmentioning

confidence: 99%

Crop responses to climatic variation

Porter¹,

Semenov

2005

Phil. Trans. R. Soc. B

845

516

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“…Climate change also may disrupt the regularity of crop phenology. Climatic elements, such as temperature, photoperiod, sunshine hours, solar radiation and precipitation, markedly influence crop growth and phenological responses [42]. Cultivars respond differently to climatic elements.…”

Section: Drivers Of Crop Phenological Changesmentioning

confidence: 99%

Phenological Changes of Corn and Soybeans over U.S. by Bayesian Change-Point Model

Shen

Liu

2015

Sustainability

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Abstract:In this paper, a Bayesian change-point model was used to examine the phenological changes in the predominant crop producing states of U.S over a 33-year period (1981-2013). Changes of phenological observation were categorized into a no-change model and two change models. The change point and intensity of shifts were subsequently estimated under the selected change model. The experiments were conducted in the cropping regions using the state-level crop progress reports issued by the U.S. Department of Agriculture. The results demonstrated that the planted, silking and mature stages of corn were significantly advanced under the change models; the vegetative period was shortened, and the reproductive and growing seasons were lengthened. The soybean phenological metrics followed a similar trend as that of corn, even though more states tended to change under a change model. The underlying drivers of such abrupt changes may be the confounding effects of crop breeding, agronomic management and climate change. Specific events, such as the adoption of genetically engineered crops in 1996-1997, can partly explain the changes in phenology. A comparison with the breakpoints function and Pettitt method demonstrated the feasibility and effectiveness of the Bayesian change-point model on crop phenological change detection.

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“…It is well documented that water stress reduces individual leaf area and total plant leaf area (Muchow and Carberry, 1989;Yang et al, 2009;Song et al, 2010), this has often been accommodated by using stress factors (range 0, no stress, to 1, severe stress) to reduce leaf area in response to water deficit, as in, for example, the APSIM group of models (Wang et al, 2002) and later models derived from them. Our findings confirmed a proportional reduction in leaf length and leaf width, consistent with the response of individual cells to water deficit to reduce expansion (Tardieu et al, 2000), at least under mild water stress.…”

Section: Allometric Relationships Between Organ Morphology and Its Bimentioning

confidence: 99%

Allometric Relationships of Maize Organ Development under Different Water Regimes and Plant Densities

Song

Birch

Rui

et al. 2015

Plant Production Science

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Environmental control of phenology and leaf growth in a tropically adapted maize

Cited by 132 publications

References 13 publications

Crop responses to climatic variation

Crop responses to climatic variation

Phenological Changes of Corn and Soybeans over U.S. by Bayesian Change-Point Model

Allometric Relationships of Maize Organ Development under Different Water Regimes and Plant Densities

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