Returning to Our Roots: Making Plant Biology Research Relevant to Future Challenges in Agriculture
Bibliographic record
Abstract
Over the next 50 years, considerable stress will be placed on worldwide crop production by a combination of factors, including an increased human population, an increase in the crops used per person, and a number of environmental issues. Given current trends, it will be necessary to approximately double yields worldwide during this time period, and meeting this challenge will require a considerable effort. This article explores the nature of the challenge and the requirements for meeting it. These include novel technical advances and fundamental discoveries as well as new multidisciplinary ways of organizing research to ensure that researchers and technologists target the advances and discoveries that are most needed and effectively use them to enhance important crop traits. In 1798, Thomas Malthus published his essays on the potential consequences of a rapid increase in human population. He later stated that “the cause to which I allude, is the constant tendency in all animated life to increase beyond the nourishment prepared for it” (Malthus, 1826). Since 1800, the world's population has increased ∼20-fold, and there is little doubt that on average we have more to eat than did our ancestors who lived during Malthus' time. This is due to the conversion of extensive land areas to agriculture, especially in North and South America, and the introduction of numerous technological advances, including mechanization, synthetic fertilizers, chemical control of pests and diseases, and improved high-yielding crop varieties. As these advances were applied worldwide, farm yields increased so much that overproduction of crops had become a serious economic concern by the late 20th century. Looking ahead, the human population is predicted to increase ∼50%, before reaching a maximum of ∼9 to 10 billion in ∼50 years (United Nations, 2004; U.S. Census Bureau database, http://www.census.gov/ipc/www/idb/). However, much more than a 50% increase in food production, probably a 100% increase, will be required to meet the needs and expectations of this population for two principal reasons. First, a burgeoning middle class in developing countries, such as China and India, and the concomitant increase in consumption of more animal products is increasing demand for the primary grain and oil seed crops more rapidly than population is growing. Second, the use of crops for industrial products, particularly ethanol from starch, to meet increasing energy demand is also growing at a rapid pace. The success of agriculture in meeting humanity's needs while the population grew 20-fold is extremely impressive but not necessarily predictive of future trends. Although increasing farm yields led to overproduction in the past, in almost every year since the year 2000, more grains have been consumed than produced, leading to an initially slow and subsequently more rapid diminution of grain stocks (see www.fas.usda.gov for worldwide supply and demand statistics for all crops). During the past year, grain commodity prices increased significantly after a steady decline over the previous 30 years. There is no longer a large land bank that could be planted with agricultural crops that is not already being used for this purpose. Rather, the quantity and quality of prime agricultural lands is now diminishing due to human habitation and degradation through poor farming practices. In addition, much marginal and environmentally sensitive land has been taken out of production in Western countries. This means that any significant increase in crop production must be met with increased crop yields. The expected population increase together with an expected increase in crop use per person implies a need to roughly double yields per acre worldwide of all important field crops, and this will need to be accomplished in an environmentally and economically sustainable fashion. While this has been done before, the next doubling will be a much greater challenge. As an example, maize yields have increased in a roughly linear fashion by ∼1.8 bu/acre/year. However, when maize yields averaged 40 bu/acre, it took only ∼20 years to double yields. Now that the average yield is 160 bu/acre, it will take 80 years to double yields if the long-term pattern is maintained. Complicating matters, a number of large-scale changes are occurring that are expected to have a large effect on crop production for food and feed. These include the availability of water and nutrients, issues around crop land, and uses of crops or crop land for alternative purposes besides food. By far the most important environmental factors impacting crop yields are the availability of sufficient water and nutrients. Water availability varies from year to year and leads to a more-or-less predictable variation in crop production. However, in some irrigated crop production regions, it is not clear that the rate of water use is sustainable. In addition, two variables relating to climate change are unpredictable. First, we naturally tend to assume that the climate in which we have lived our lives is normal for a particular region. However, this is not always the case. As an example, it has been found that the Canadian prairies have been much wetter than usual during the time when they were settled and farmed on a massive scale (Schindler and Donahue, 2006). If this area reverted to the long-term mean, then much of one of the most important grain production areas would be unavailable for agriculture. Second, while it is difficult to predict exact rainfall pattern changes due to human-induced global warming, two effects are clear. There will be more evaporation with a hotter climate, necessitating more rainfall to stay even (Schindler and Donahue, 2006). Furthermore, with the melting of glaciers, glacial rivers like those that flow through the Canadian prairies will have much less flow during the summer when their use for irrigation would normally be greatest. The current long-term drought in Australia is a lesson on the effects of water shortages leading to a large decrease in crop production. Land use issues also present a considerable future challenge. First, there is the issue of using prime farm land for other human uses, an inexorable and somewhat predictable process. The second issue is that we have been using industrial agricultural practices for approximately the past half century. During that time a considerable portion of the topsoil has been lost. Current practices of crop production, such as the use of no- and low-till, are a considerable improvement, but losses still occur, albeit at a lower rate. Although average yields have shown a steady increase during this period of time, it is unknown how long this trend can continue. By relying on the status quo, we are wagering that these practices will be sustainable on a global scale for 50 more years. Finally, there is the issue of the use of grain for ethanol production and the potential use of other biomass feedstocks produced from agricultural land for this purpose. Last year, ∼20% of the U.S. maize crop was used for ethanol, which increased the demand enough to cause a doubling in prices. This in turn has led to a significant increase in the maize acreage planted this year, causing decreased planting of other, less profitable crops. However, use of the entire U.S. maize crop for ethanol would satisfy only a small part of the nation's liquid energy needs, creating a potentially unlimited market for this use. A sensible alternative to the use of grain for ethanol is to use cellulose, which can come from two potential sources using crop waste and marginal lands. While using crop waste, such as maize stalks left over after harvest, would at first glance appear to be an ideal use, several preliminary studies have shown that this practice would lead to significant yield losses in subsequent years due to degradation of soil quality (for example, see Johnson et al., 2006). While growing plants such as switchgrass and poplar on marginal agricultural lands may be feasible, there would be no way to prevent farmers with prime land from growing these energy crops if the economic gain was greater than that for food crops. For these reasons, it seems certain that the use of agricultural land for energy production creates another source of future uncertainty for food production. In addition, the growing biofuel industry is having a strong impact on current agricultural research. For example, in Canada, almost all new agricultural research support is in the area of bioproducts, of which biofuels is a major component. This is occurring in other countries as well. This is not all bad, of course, as it is always worth developing alternative ways of using agricultural products, and much of the work must involve studies on how to improve plant productivity that may have application to food crop production. Nevertheless, it means that many other important areas of research are not being funded, as will be discussed in more detail. Plant genetics companies spend somewhere in the neighborhood of $2.0 to $2.5 billion per year on research to develop better seed products. While this is a substantial sum, the largest pharmaceutical company, Pfizer, alone spends $7.5 billion dollars per year on research and development. Furthermore, due to the economics of the seed business, only maize generates enough of a profit from seed sales to justify bringing the whole panoply of modern techniques to bear on developing better seed products. By contrast, a relatively minor sum is spent on research into, for example, wheat genetics, despite its importance as a food crop. Even with regards to research on maize, there is no way that any one company or set of companies has the resources to undertake all worthwhile experiments. In addition, there is no economic incentive to do research for poor farmers in developing countries where income from seed sales cannot support significant research spending. This means that not all of the potential capabilities for genetic improvement are being used for crops that feed most of the world's population. This situation has important consequences for considering how the results from basic plant biology research could be applied to important problems. Here is one scenario to exemplify this problem. Let us assume that a researcher studying tolerance to abiotic stress does excellent research on a model system like Arabidopsis that gives leads on important genes that modulate drought tolerance. Applying this information to important crop plants requires at the very least the following capabilities: access to information on advanced breeding lines, the ability to produce transgenic plants and/or to use a large marker set to check for the presence of allelic variation for these genes, a way of testing for phenotype for this trait, and the ability to test whether any genetic improvement has any negative pleiotropic effects and works under a variety of different environmental conditions. Developing a valid way to test for a drought-tolerant phenotype in a realistic fashion requires developing testing sites where irrigation is the only water source, since variable amounts of precipitation will make it very difficult to do controlled experiments. Industrial research organizations can do these things well but will only do so for crops and geographies where there is a reasonable chance for an economic return on their research investment. Thus, much of this costly foundational applied research for these crops and geographies must be done in the public sector. Low commodity prices decrease the political will to support public sector research on enhancing agronomic traits for crop production. After all, why support research whose goal will lead to increased overproduction of field crops, decreased commodity prices, and thus decreased farmer profitability? There has been an enormous amount of brilliant research done to understand the genetic basis of plant growth and development, particularly in Arabidopsis, over the past 25 years. However, during this period there has been a concomitant shrinkage in the public sector capability for using this knowledge to improve important crop plants. This is no doubt in part due to the change in public perception of biotechnology and partly due to the sense that industry would supply all of the applied innovation. Assuming it becomes more difficult to improve productivity enough to meet crop demand, this will likely be a slow-moving crisis, and it will take a considerable effort to impress upon the public and government the need for action. One problem is that it takes time to enhance research capability in this area. Even given the necessary research capacity, previous experience suggests that it takes 10 to 15 years to use any piece of basic knowledge to improve crop genetics. Clearly, it would be best not to wait for this type of crisis to occur before trying to develop solutions. A considerable amount is known about the genes controlling plant growth and development, and the question is whether this knowledge can be used in a predictive sense to help develop improved crop cultivars. The following are two examples of the possibilities of this approach. The semidwarf varieties of wheat and later of rice were fundamentally important to the green revolution (Borlaug, 1983). In addition, a high percentage of the yield increase due to breeding was due to the development of crop genetics that allowed crops to be planted at high densities, thus increasing the per acre biomass produced (Duvick, 1992). Therefore, can plant architecture and development be modulated in a controlled fashion to develop new lines that can be grown at a much higher planting density? A second example is that harvest index, the biomass partitioned into the grain relative to total plant mass, has remained around 50% for maize during the last 60 years of breeding. By contrast, the harvest index in wheat was increased because of the development of the semidwarf varieties (Borlaug, 1983). Enhanced partitioning into the grain, assuming no pleiotropic negative effects, would substantially increase yields without increasing plant biomass produced. Again, we can use fundamental knowledge of the genetic factors controlling partitioning to optimize for this trait. The use of nitrogen fertilizer is essential to maintain current productivity and will be crucial for doubling yields. However, its production is typically the single largest energy input for crop production, and it is increasingly expensive due to escalating energy costs and thus is less affordable for poorer farmers. Furthermore, nitrogen fertilizers cause significant environmental damage, leading to considerable air and water pollution. One example of these effects is that wasted nitrogen fertilizer leads to the production of the potent greenhouse gas nitrous oxide. At the same time the one environmental change that undoubtedly will occur is an increase in atmospheric CO2 concentration, and under the right circumstances, this could enhance plant growth. Ideally, yield doubling would be achieved without markedly augmenting the amount of nitrogen fertilizer used, as this would lead to a large increase in pollution and of economic cost. There is a linkage between the regulation of carbon and nitrogen metabolism, although our knowledge of these processes is still imperfect (Coruzzi and Bush, 2001). Therefore, the challenge is to use our knowledge of these processes to develop crop genetics with enhanced nitrogen use efficiency in a high-CO2 world. Finally, there are a number of important findings described by our colleagues in agronomy and the related sciences that delineate important fundamental problems. The following example is particularly intriguing. For the sake of simplicity, most research focuses on the genetic analysis of individual species, although in the real world they grow in the presence of others. Maize or soybean can be grown in to but under where there is no for nutrients, or et al., 2004; However, even in the of this growth of in the presence of the leads to a decrease of in This implies that these crop plants the presence of the and to this potential in a way that must involve a stress that plant productivity et al., 2004; There must be a genetic to this and the fundamental processes this would us to understand and use this knowledge given the importance of and on important agronomic traits that impact crop like those described are traits. the and type of environmental is from year to year and from to In a breeding large of genetic are first on a small a are on a and years, to with the problem of environmental in a significant fashion. The potential of using fundamental genetic knowledge to improve on this is can this knowledge be used to improve the efficiency of breeding used to new improved genetic There are two in this process. First, can a be where knowledge can be used to predict phenotype from Second, can predictive be on how different will to an of different abiotic and environmental stress This becomes a problem genes important for the of potential for these genes, and stress conditions. this it is important to understand and much of this research the analysis of strong in or set of genes in model like This is a crucial first but is not sufficient for its application to important agronomic traits. can assume that there will be a of variation for important traits in the genetic lines due to allelic variation in a number of genes, with most of this variation being in One goal is to be to predict the effect on phenotype of genes through or in any of the genetic lines to be to predict whether this change would have a negative or effect under different environmental stress conditions. This will require the following First, we need to understand how to genetic variation to phenotype using all of our These will include the ability to produce and test genetic for a of including the use of a of and and the ability to and to understand which genetic are for process. will also involve the testing of these under an of environmental stress conditions. Second, we need to have a of the genetic variation present in crop plant of since this must be the for any serious to improve crop genetics. This would almost involve the allelic of all of the important genetic lines, developing a set of test lines that only in particular regions, and testing these for their of variation under a variety of environmental conditions. we will need to develop to and make the enormous that will this research. While it will be to develop the genetic and to do the studies of the most difficult will no doubt be the analysis under environmental conditions. The the set of to be the more difficult it is to this in an and fashion. this better for traits and environmental would be For example, the ability to will be for many plant traits. Finally, it will be necessary to this type of together with the as well as with environmental for test of this will require a of There is no question that it will require a considerable increase in to develop the fundamental required to use knowledge in a predictive fashion to important crop traits. However, two other issues need to be to First, the in the crop genetics industrial research sector means that for most crops, important genetic effects will not be sufficient and it will be necessary for public sector researchers to to this knowledge than would be Second, success will require a combination of a of including the areas of genetics and and agricultural The sector companies can develop products due to their ability to these required and this is not achieved in the public sector. The current of for research has been extremely in fundamental knowledge in the plant sciences and will to be Furthermore, in those that still support plant breeding new lines can be in the which does not require knowledge of However, in the of an of using all the it is difficult to how even the most brilliant fundamental work being done in plant and biology can lead to for crops in which the industry cannot significant research Industrial research organizations can be by the success of their products in the sector researchers fundamental research can be by their ability to and for However, it has to be difficult to set a public research that has the and to this of basic research results into products. Furthermore, there is no question that success will require if only to be to develop the testing is certain is that this will a considerable sum to will need to have a long time and will need to be with clear for to feed the world population in an environmentally sustainable fashion as it its over the next 40 to 50 years will be difficult to but it is a important will lead to extremely future conditions. Furthermore, the goal of doubling yields is an with much of the improvement to occur in developing crop genetics is not the only but it is an important for have been in the of different genes in plant growth and development. In addition, the of and other have allowed for the of enormous of related to these genes and their effect on The need is the world's population in 50 years without increasing land for farming and in an environmentally way will take considerable and a substantial increase in research For this to be it also will require a significant change in how fundamental knowledge is into must beyond and of fundamental biology into the of we will have to meet the essential needs of the future world population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.009 | 0.018 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.015 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".